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- # [No.1] 6137_1_construct_wrapper.326
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/train/dataset_helper.py(77)/ def construct(self):/
- funcgraph fg_326(
- %para1 : Ref[Tensor(I32)][] # step
- , %para2 : Ref[Tensor(F32)][64, 3, 7, 7] # fcos_body.backbone.conv1.weight
- , %para3 : Ref[Tensor(F32)][64] # fcos_body.backbone.bn1.gamma
- , %para4 : Ref[Tensor(F32)][64] # fcos_body.backbone.bn1.beta
- , %para5 : Ref[Tensor(F32)][64, 64, 1, 1] # fcos_body.backbone.layer1.0.conv1.weight
- , %para6 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.0.bn1.gamma
- , %para7 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.0.bn1.beta
- , %para8 : Ref[Tensor(F32)][64, 64, 3, 3] # fcos_body.backbone.layer1.0.conv2.weight
- , %para9 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.0.bn2.gamma
- , %para10 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.0.bn2.beta
- , %para11 : Ref[Tensor(F32)][256, 64, 1, 1] # fcos_body.backbone.layer1.0.conv3.weight
- , %para12 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.0.bn3.gamma
- , %para13 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.0.bn3.beta
- , %para14 : Ref[Tensor(F32)][256, 64, 1, 1] # fcos_body.backbone.layer1.0.down_sample_layer.0.weight
- , %para15 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.0.down_sample_layer.1.gamma
- , %para16 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.0.down_sample_layer.1.beta
- , %para17 : Ref[Tensor(F32)][64, 256, 1, 1] # fcos_body.backbone.layer1.1.conv1.weight
- , %para18 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.1.bn1.gamma
- , %para19 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.1.bn1.beta
- , %para20 : Ref[Tensor(F32)][64, 64, 3, 3] # fcos_body.backbone.layer1.1.conv2.weight
- , %para21 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.1.bn2.gamma
- , %para22 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.1.bn2.beta
- , %para23 : Ref[Tensor(F32)][256, 64, 1, 1] # fcos_body.backbone.layer1.1.conv3.weight
- , %para24 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.1.bn3.gamma
- , %para25 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.1.bn3.beta
- , %para26 : Ref[Tensor(F32)][64, 256, 1, 1] # fcos_body.backbone.layer1.2.conv1.weight
- , %para27 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.2.bn1.gamma
- , %para28 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.2.bn1.beta
- , %para29 : Ref[Tensor(F32)][64, 64, 3, 3] # fcos_body.backbone.layer1.2.conv2.weight
- , %para30 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.2.bn2.gamma
- , %para31 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.2.bn2.beta
- , %para32 : Ref[Tensor(F32)][256, 64, 1, 1] # fcos_body.backbone.layer1.2.conv3.weight
- , %para33 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.2.bn3.gamma
- , %para34 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.2.bn3.beta
- , %para35 : Ref[Tensor(F32)][128, 256, 1, 1] # fcos_body.backbone.layer2.0.conv1.weight
- , %para36 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.0.bn1.gamma
- , %para37 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.0.bn1.beta
- , %para38 : Ref[Tensor(F32)][128, 128, 3, 3] # fcos_body.backbone.layer2.0.conv2.weight
- , %para39 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.0.bn2.gamma
- , %para40 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.0.bn2.beta
- , %para41 : Ref[Tensor(F32)][512, 128, 1, 1] # fcos_body.backbone.layer2.0.conv3.weight
- , %para42 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.0.bn3.gamma
- , %para43 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.0.bn3.beta
- , %para44 : Ref[Tensor(F32)][512, 256, 1, 1] # fcos_body.backbone.layer2.0.down_sample_layer.0.weight
- , %para45 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.0.down_sample_layer.1.gamma
- , %para46 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.0.down_sample_layer.1.beta
- , %para47 : Ref[Tensor(F32)][128, 512, 1, 1] # fcos_body.backbone.layer2.1.conv1.weight
- , %para48 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.1.bn1.gamma
- , %para49 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.1.bn1.beta
- , %para50 : Ref[Tensor(F32)][128, 128, 3, 3] # fcos_body.backbone.layer2.1.conv2.weight
- , %para51 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.1.bn2.gamma
- , %para52 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.1.bn2.beta
- , %para53 : Ref[Tensor(F32)][512, 128, 1, 1] # fcos_body.backbone.layer2.1.conv3.weight
- , %para54 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.1.bn3.gamma
- , %para55 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.1.bn3.beta
- , %para56 : Ref[Tensor(F32)][128, 512, 1, 1] # fcos_body.backbone.layer2.2.conv1.weight
- , %para57 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.2.bn1.gamma
- , %para58 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.2.bn1.beta
- , %para59 : Ref[Tensor(F32)][128, 128, 3, 3] # fcos_body.backbone.layer2.2.conv2.weight
- , %para60 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.2.bn2.gamma
- , %para61 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.2.bn2.beta
- , %para62 : Ref[Tensor(F32)][512, 128, 1, 1] # fcos_body.backbone.layer2.2.conv3.weight
- , %para63 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.2.bn3.gamma
- , %para64 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.2.bn3.beta
- , %para65 : Ref[Tensor(F32)][128, 512, 1, 1] # fcos_body.backbone.layer2.3.conv1.weight
- , %para66 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.3.bn1.gamma
- , %para67 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.3.bn1.beta
- , %para68 : Ref[Tensor(F32)][128, 128, 3, 3] # fcos_body.backbone.layer2.3.conv2.weight
- , %para69 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.3.bn2.gamma
- , %para70 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.3.bn2.beta
- , %para71 : Ref[Tensor(F32)][512, 128, 1, 1] # fcos_body.backbone.layer2.3.conv3.weight
- , %para72 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.3.bn3.gamma
- , %para73 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.3.bn3.beta
- , %para74 : Ref[Tensor(F32)][256, 512, 1, 1] # fcos_body.backbone.layer3.0.conv1.weight
- , %para75 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.0.bn1.gamma
- , %para76 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.0.bn1.beta
- , %para77 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.backbone.layer3.0.conv2.weight
- , %para78 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.0.bn2.gamma
- , %para79 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.0.bn2.beta
- , %para80 : Ref[Tensor(F32)][1024, 256, 1, 1] # fcos_body.backbone.layer3.0.conv3.weight
- , %para81 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.0.bn3.gamma
- , %para82 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.0.bn3.beta
- , %para83 : Ref[Tensor(F32)][1024, 512, 1, 1] # fcos_body.backbone.layer3.0.down_sample_layer.0.weight
- , %para84 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.0.down_sample_layer.1.gamma
- , %para85 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.0.down_sample_layer.1.beta
- , %para86 : Ref[Tensor(F32)][256, 1024, 1, 1] # fcos_body.backbone.layer3.1.conv1.weight
- , %para87 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.1.bn1.gamma
- , %para88 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.1.bn1.beta
- , %para89 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.backbone.layer3.1.conv2.weight
- , %para90 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.1.bn2.gamma
- , %para91 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.1.bn2.beta
- , %para92 : Ref[Tensor(F32)][1024, 256, 1, 1] # fcos_body.backbone.layer3.1.conv3.weight
- , %para93 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.1.bn3.gamma
- , %para94 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.1.bn3.beta
- , %para95 : Ref[Tensor(F32)][256, 1024, 1, 1] # fcos_body.backbone.layer3.2.conv1.weight
- , %para96 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.2.bn1.gamma
- , %para97 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.2.bn1.beta
- , %para98 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.backbone.layer3.2.conv2.weight
- , %para99 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.2.bn2.gamma
- , %para100 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.2.bn2.beta
- , %para101 : Ref[Tensor(F32)][1024, 256, 1, 1] # fcos_body.backbone.layer3.2.conv3.weight
- , %para102 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.2.bn3.gamma
- , %para103 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.2.bn3.beta
- , %para104 : Ref[Tensor(F32)][256, 1024, 1, 1] # fcos_body.backbone.layer3.3.conv1.weight
- , %para105 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.3.bn1.gamma
- , %para106 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.3.bn1.beta
- , %para107 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.backbone.layer3.3.conv2.weight
- , %para108 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.3.bn2.gamma
- , %para109 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.3.bn2.beta
- , %para110 : Ref[Tensor(F32)][1024, 256, 1, 1] # fcos_body.backbone.layer3.3.conv3.weight
- , %para111 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.3.bn3.gamma
- , %para112 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.3.bn3.beta
- , %para113 : Ref[Tensor(F32)][256, 1024, 1, 1] # fcos_body.backbone.layer3.4.conv1.weight
- , %para114 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.4.bn1.gamma
- , %para115 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.4.bn1.beta
- , %para116 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.backbone.layer3.4.conv2.weight
- , %para117 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.4.bn2.gamma
- , %para118 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.4.bn2.beta
- , %para119 : Ref[Tensor(F32)][1024, 256, 1, 1] # fcos_body.backbone.layer3.4.conv3.weight
- , %para120 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.4.bn3.gamma
- , %para121 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.4.bn3.beta
- , %para122 : Ref[Tensor(F32)][256, 1024, 1, 1] # fcos_body.backbone.layer3.5.conv1.weight
- , %para123 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.5.bn1.gamma
- , %para124 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.5.bn1.beta
- , %para125 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.backbone.layer3.5.conv2.weight
- , %para126 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.5.bn2.gamma
- , %para127 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.5.bn2.beta
- , %para128 : Ref[Tensor(F32)][1024, 256, 1, 1] # fcos_body.backbone.layer3.5.conv3.weight
- , %para129 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.5.bn3.gamma
- , %para130 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.5.bn3.beta
- , %para131 : Ref[Tensor(F32)][512, 1024, 1, 1] # fcos_body.backbone.layer4.0.conv1.weight
- , %para132 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.0.bn1.gamma
- , %para133 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.0.bn1.beta
- , %para134 : Ref[Tensor(F32)][512, 512, 3, 3] # fcos_body.backbone.layer4.0.conv2.weight
- , %para135 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.0.bn2.gamma
- , %para136 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.0.bn2.beta
- , %para137 : Ref[Tensor(F32)][2048, 512, 1, 1] # fcos_body.backbone.layer4.0.conv3.weight
- , %para138 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.0.bn3.gamma
- , %para139 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.0.bn3.beta
- , %para140 : Ref[Tensor(F32)][2048, 1024, 1, 1] # fcos_body.backbone.layer4.0.down_sample_layer.0.weight
- , %para141 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.0.down_sample_layer.1.gamma
- , %para142 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.0.down_sample_layer.1.beta
- , %para143 : Ref[Tensor(F32)][512, 2048, 1, 1] # fcos_body.backbone.layer4.1.conv1.weight
- , %para144 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.1.bn1.gamma
- , %para145 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.1.bn1.beta
- , %para146 : Ref[Tensor(F32)][512, 512, 3, 3] # fcos_body.backbone.layer4.1.conv2.weight
- , %para147 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.1.bn2.gamma
- , %para148 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.1.bn2.beta
- , %para149 : Ref[Tensor(F32)][2048, 512, 1, 1] # fcos_body.backbone.layer4.1.conv3.weight
- , %para150 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.1.bn3.gamma
- , %para151 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.1.bn3.beta
- , %para152 : Ref[Tensor(F32)][512, 2048, 1, 1] # fcos_body.backbone.layer4.2.conv1.weight
- , %para153 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.2.bn1.gamma
- , %para154 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.2.bn1.beta
- , %para155 : Ref[Tensor(F32)][512, 512, 3, 3] # fcos_body.backbone.layer4.2.conv2.weight
- , %para156 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.2.bn2.gamma
- , %para157 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.2.bn2.beta
- , %para158 : Ref[Tensor(F32)][2048, 512, 1, 1] # fcos_body.backbone.layer4.2.conv3.weight
- , %para159 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.2.bn3.gamma
- , %para160 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.2.bn3.beta
- , %para161 : Ref[Tensor(F32)][1001, 2048] # fcos_body.backbone.end_point.weight
- , %para162 : Ref[Tensor(F32)][1001] # fcos_body.backbone.end_point.bias
- , %para163 : Ref[Tensor(F32)][256, 2048, 1, 1] # fcos_body.fpn.prj_5.weight
- , %para164 : Ref[Tensor(F32)][256] # fcos_body.fpn.prj_5.bias
- , %para165 : Ref[Tensor(F32)][256, 1024, 1, 1] # fcos_body.fpn.prj_4.weight
- , %para166 : Ref[Tensor(F32)][256] # fcos_body.fpn.prj_4.bias
- , %para167 : Ref[Tensor(F32)][256, 512, 1, 1] # fcos_body.fpn.prj_3.weight
- , %para168 : Ref[Tensor(F32)][256] # fcos_body.fpn.prj_3.bias
- , %para169 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.fpn.conv_5.weight
- , %para170 : Ref[Tensor(F32)][256] # fcos_body.fpn.conv_5.bias
- , %para171 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.fpn.conv_4.weight
- , %para172 : Ref[Tensor(F32)][256] # fcos_body.fpn.conv_4.bias
- , %para173 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.fpn.conv_3.weight
- , %para174 : Ref[Tensor(F32)][256] # fcos_body.fpn.conv_3.bias
- , %para175 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.fpn.conv_out6.weight
- , %para176 : Ref[Tensor(F32)][256] # fcos_body.fpn.conv_out6.bias
- , %para177 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.fpn.conv_out7.weight
- , %para178 : Ref[Tensor(F32)][256] # fcos_body.fpn.conv_out7.bias
- , %para179 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.head.cls_conv.0.weight
- , %para180 : Ref[Tensor(F32)][256] # fcos_body.head.cls_conv.0.bias
- , %para181 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.head.cls_conv.2.weight
- , %para182 : Ref[Tensor(F32)][256] # fcos_body.head.cls_conv.2.bias
- , %para183 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.head.cls_conv.4.weight
- , %para184 : Ref[Tensor(F32)][256] # fcos_body.head.cls_conv.4.bias
- , %para185 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.head.cls_conv.6.weight
- , %para186 : Ref[Tensor(F32)][256] # fcos_body.head.cls_conv.6.bias
- , %para187 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.head.reg_conv.0.weight
- , %para188 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.0.bias
- , %para189 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.1.gamma
- , %para190 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.1.beta
- , %para191 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.head.reg_conv.3.weight
- , %para192 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.3.bias
- , %para193 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.4.gamma
- , %para194 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.4.beta
- , %para195 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.head.reg_conv.6.weight
- , %para196 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.6.bias
- , %para197 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.7.gamma
- , %para198 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.7.beta
- , %para199 : Ref[Tensor(F32)][256, 256, 3, 3] # fcos_body.head.reg_conv.9.weight
- , %para200 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.9.bias
- , %para201 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.10.gamma
- , %para202 : Ref[Tensor(F32)][256] # fcos_body.head.reg_conv.10.beta
- , %para203 : Ref[Tensor(F32)][80, 256, 3, 3] # fcos_body.head.cls_logits.weight
- , %para204 : Ref[Tensor(F32)][80] # fcos_body.head.cls_logits.bias
- , %para205 : Ref[Tensor(F32)][1, 256, 3, 3] # fcos_body.head.cnt_logits.weight
- , %para206 : Ref[Tensor(F32)][1] # fcos_body.head.cnt_logits.bias
- , %para207 : Ref[Tensor(F32)][4, 256, 3, 3] # fcos_body.head.reg_pred.weight
- , %para208 : Ref[Tensor(F32)][4] # fcos_body.head.reg_pred.bias
- , %para209 : Ref[Tensor(F32)][1] # fcos_body.head.scale_exp.0.scale
- , %para210 : Ref[Tensor(F32)][1] # fcos_body.head.scale_exp.1.scale
- , %para211 : Ref[Tensor(F32)][1] # fcos_body.head.scale_exp.2.scale
- , %para212 : Ref[Tensor(F32)][1] # fcos_body.head.scale_exp.3.scale
- , %para213 : Ref[Tensor(F32)][1] # fcos_body.head.scale_exp.4.scale
- , %para214 : Ref[Tensor(F32)][64, 3, 7, 7] # accum.fcos_body.backbone.conv1.weight
- , %para215 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.bn1.gamma
- , %para216 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.bn1.beta
- , %para217 : Ref[Tensor(F32)][64, 64, 1, 1] # accum.fcos_body.backbone.layer1.0.conv1.weight
- , %para218 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.0.bn1.gamma
- , %para219 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.0.bn1.beta
- , %para220 : Ref[Tensor(F32)][64, 64, 3, 3] # accum.fcos_body.backbone.layer1.0.conv2.weight
- , %para221 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.0.bn2.gamma
- , %para222 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.0.bn2.beta
- , %para223 : Ref[Tensor(F32)][256, 64, 1, 1] # accum.fcos_body.backbone.layer1.0.conv3.weight
- , %para224 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer1.0.bn3.gamma
- , %para225 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer1.0.bn3.beta
- , %para226 : Ref[Tensor(F32)][256, 64, 1, 1] # accum.fcos_body.backbone.layer1.0.down_sample_layer.0.weight
- , %para227 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer1.0.down_sample_layer.1.gamma
- , %para228 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer1.0.down_sample_layer.1.beta
- , %para229 : Ref[Tensor(F32)][64, 256, 1, 1] # accum.fcos_body.backbone.layer1.1.conv1.weight
- , %para230 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.1.bn1.gamma
- , %para231 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.1.bn1.beta
- , %para232 : Ref[Tensor(F32)][64, 64, 3, 3] # accum.fcos_body.backbone.layer1.1.conv2.weight
- , %para233 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.1.bn2.gamma
- , %para234 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.1.bn2.beta
- , %para235 : Ref[Tensor(F32)][256, 64, 1, 1] # accum.fcos_body.backbone.layer1.1.conv3.weight
- , %para236 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer1.1.bn3.gamma
- , %para237 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer1.1.bn3.beta
- , %para238 : Ref[Tensor(F32)][64, 256, 1, 1] # accum.fcos_body.backbone.layer1.2.conv1.weight
- , %para239 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.2.bn1.gamma
- , %para240 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.2.bn1.beta
- , %para241 : Ref[Tensor(F32)][64, 64, 3, 3] # accum.fcos_body.backbone.layer1.2.conv2.weight
- , %para242 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.2.bn2.gamma
- , %para243 : Ref[Tensor(F32)][64] # accum.fcos_body.backbone.layer1.2.bn2.beta
- , %para244 : Ref[Tensor(F32)][256, 64, 1, 1] # accum.fcos_body.backbone.layer1.2.conv3.weight
- , %para245 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer1.2.bn3.gamma
- , %para246 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer1.2.bn3.beta
- , %para247 : Ref[Tensor(F32)][128, 256, 1, 1] # accum.fcos_body.backbone.layer2.0.conv1.weight
- , %para248 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.0.bn1.gamma
- , %para249 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.0.bn1.beta
- , %para250 : Ref[Tensor(F32)][128, 128, 3, 3] # accum.fcos_body.backbone.layer2.0.conv2.weight
- , %para251 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.0.bn2.gamma
- , %para252 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.0.bn2.beta
- , %para253 : Ref[Tensor(F32)][512, 128, 1, 1] # accum.fcos_body.backbone.layer2.0.conv3.weight
- , %para254 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.0.bn3.gamma
- , %para255 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.0.bn3.beta
- , %para256 : Ref[Tensor(F32)][512, 256, 1, 1] # accum.fcos_body.backbone.layer2.0.down_sample_layer.0.weight
- , %para257 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.0.down_sample_layer.1.gamma
- , %para258 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.0.down_sample_layer.1.beta
- , %para259 : Ref[Tensor(F32)][128, 512, 1, 1] # accum.fcos_body.backbone.layer2.1.conv1.weight
- , %para260 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.1.bn1.gamma
- , %para261 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.1.bn1.beta
- , %para262 : Ref[Tensor(F32)][128, 128, 3, 3] # accum.fcos_body.backbone.layer2.1.conv2.weight
- , %para263 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.1.bn2.gamma
- , %para264 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.1.bn2.beta
- , %para265 : Ref[Tensor(F32)][512, 128, 1, 1] # accum.fcos_body.backbone.layer2.1.conv3.weight
- , %para266 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.1.bn3.gamma
- , %para267 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.1.bn3.beta
- , %para268 : Ref[Tensor(F32)][128, 512, 1, 1] # accum.fcos_body.backbone.layer2.2.conv1.weight
- , %para269 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.2.bn1.gamma
- , %para270 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.2.bn1.beta
- , %para271 : Ref[Tensor(F32)][128, 128, 3, 3] # accum.fcos_body.backbone.layer2.2.conv2.weight
- , %para272 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.2.bn2.gamma
- , %para273 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.2.bn2.beta
- , %para274 : Ref[Tensor(F32)][512, 128, 1, 1] # accum.fcos_body.backbone.layer2.2.conv3.weight
- , %para275 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.2.bn3.gamma
- , %para276 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.2.bn3.beta
- , %para277 : Ref[Tensor(F32)][128, 512, 1, 1] # accum.fcos_body.backbone.layer2.3.conv1.weight
- , %para278 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.3.bn1.gamma
- , %para279 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.3.bn1.beta
- , %para280 : Ref[Tensor(F32)][128, 128, 3, 3] # accum.fcos_body.backbone.layer2.3.conv2.weight
- , %para281 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.3.bn2.gamma
- , %para282 : Ref[Tensor(F32)][128] # accum.fcos_body.backbone.layer2.3.bn2.beta
- , %para283 : Ref[Tensor(F32)][512, 128, 1, 1] # accum.fcos_body.backbone.layer2.3.conv3.weight
- , %para284 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.3.bn3.gamma
- , %para285 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer2.3.bn3.beta
- , %para286 : Ref[Tensor(F32)][256, 512, 1, 1] # accum.fcos_body.backbone.layer3.0.conv1.weight
- , %para287 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.0.bn1.gamma
- , %para288 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.0.bn1.beta
- , %para289 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.backbone.layer3.0.conv2.weight
- , %para290 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.0.bn2.gamma
- , %para291 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.0.bn2.beta
- , %para292 : Ref[Tensor(F32)][1024, 256, 1, 1] # accum.fcos_body.backbone.layer3.0.conv3.weight
- , %para293 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.0.bn3.gamma
- , %para294 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.0.bn3.beta
- , %para295 : Ref[Tensor(F32)][1024, 512, 1, 1] # accum.fcos_body.backbone.layer3.0.down_sample_layer.0.weight
- , %para296 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.0.down_sample_layer.1.gamma
- , %para297 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.0.down_sample_layer.1.beta
- , %para298 : Ref[Tensor(F32)][256, 1024, 1, 1] # accum.fcos_body.backbone.layer3.1.conv1.weight
- , %para299 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.1.bn1.gamma
- , %para300 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.1.bn1.beta
- , %para301 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.backbone.layer3.1.conv2.weight
- , %para302 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.1.bn2.gamma
- , %para303 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.1.bn2.beta
- , %para304 : Ref[Tensor(F32)][1024, 256, 1, 1] # accum.fcos_body.backbone.layer3.1.conv3.weight
- , %para305 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.1.bn3.gamma
- , %para306 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.1.bn3.beta
- , %para307 : Ref[Tensor(F32)][256, 1024, 1, 1] # accum.fcos_body.backbone.layer3.2.conv1.weight
- , %para308 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.2.bn1.gamma
- , %para309 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.2.bn1.beta
- , %para310 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.backbone.layer3.2.conv2.weight
- , %para311 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.2.bn2.gamma
- , %para312 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.2.bn2.beta
- , %para313 : Ref[Tensor(F32)][1024, 256, 1, 1] # accum.fcos_body.backbone.layer3.2.conv3.weight
- , %para314 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.2.bn3.gamma
- , %para315 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.2.bn3.beta
- , %para316 : Ref[Tensor(F32)][256, 1024, 1, 1] # accum.fcos_body.backbone.layer3.3.conv1.weight
- , %para317 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.3.bn1.gamma
- , %para318 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.3.bn1.beta
- , %para319 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.backbone.layer3.3.conv2.weight
- , %para320 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.3.bn2.gamma
- , %para321 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.3.bn2.beta
- , %para322 : Ref[Tensor(F32)][1024, 256, 1, 1] # accum.fcos_body.backbone.layer3.3.conv3.weight
- , %para323 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.3.bn3.gamma
- , %para324 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.3.bn3.beta
- , %para325 : Ref[Tensor(F32)][256, 1024, 1, 1] # accum.fcos_body.backbone.layer3.4.conv1.weight
- , %para326 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.4.bn1.gamma
- , %para327 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.4.bn1.beta
- , %para328 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.backbone.layer3.4.conv2.weight
- , %para329 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.4.bn2.gamma
- , %para330 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.4.bn2.beta
- , %para331 : Ref[Tensor(F32)][1024, 256, 1, 1] # accum.fcos_body.backbone.layer3.4.conv3.weight
- , %para332 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.4.bn3.gamma
- , %para333 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.4.bn3.beta
- , %para334 : Ref[Tensor(F32)][256, 1024, 1, 1] # accum.fcos_body.backbone.layer3.5.conv1.weight
- , %para335 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.5.bn1.gamma
- , %para336 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.5.bn1.beta
- , %para337 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.backbone.layer3.5.conv2.weight
- , %para338 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.5.bn2.gamma
- , %para339 : Ref[Tensor(F32)][256] # accum.fcos_body.backbone.layer3.5.bn2.beta
- , %para340 : Ref[Tensor(F32)][1024, 256, 1, 1] # accum.fcos_body.backbone.layer3.5.conv3.weight
- , %para341 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.5.bn3.gamma
- , %para342 : Ref[Tensor(F32)][1024] # accum.fcos_body.backbone.layer3.5.bn3.beta
- , %para343 : Ref[Tensor(F32)][512, 1024, 1, 1] # accum.fcos_body.backbone.layer4.0.conv1.weight
- , %para344 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.0.bn1.gamma
- , %para345 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.0.bn1.beta
- , %para346 : Ref[Tensor(F32)][512, 512, 3, 3] # accum.fcos_body.backbone.layer4.0.conv2.weight
- , %para347 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.0.bn2.gamma
- , %para348 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.0.bn2.beta
- , %para349 : Ref[Tensor(F32)][2048, 512, 1, 1] # accum.fcos_body.backbone.layer4.0.conv3.weight
- , %para350 : Ref[Tensor(F32)][2048] # accum.fcos_body.backbone.layer4.0.bn3.gamma
- , %para351 : Ref[Tensor(F32)][2048] # accum.fcos_body.backbone.layer4.0.bn3.beta
- , %para352 : Ref[Tensor(F32)][2048, 1024, 1, 1] # accum.fcos_body.backbone.layer4.0.down_sample_layer.0.weight
- , %para353 : Ref[Tensor(F32)][2048] # accum.fcos_body.backbone.layer4.0.down_sample_layer.1.gamma
- , %para354 : Ref[Tensor(F32)][2048] # accum.fcos_body.backbone.layer4.0.down_sample_layer.1.beta
- , %para355 : Ref[Tensor(F32)][512, 2048, 1, 1] # accum.fcos_body.backbone.layer4.1.conv1.weight
- , %para356 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.1.bn1.gamma
- , %para357 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.1.bn1.beta
- , %para358 : Ref[Tensor(F32)][512, 512, 3, 3] # accum.fcos_body.backbone.layer4.1.conv2.weight
- , %para359 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.1.bn2.gamma
- , %para360 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.1.bn2.beta
- , %para361 : Ref[Tensor(F32)][2048, 512, 1, 1] # accum.fcos_body.backbone.layer4.1.conv3.weight
- , %para362 : Ref[Tensor(F32)][2048] # accum.fcos_body.backbone.layer4.1.bn3.gamma
- , %para363 : Ref[Tensor(F32)][2048] # accum.fcos_body.backbone.layer4.1.bn3.beta
- , %para364 : Ref[Tensor(F32)][512, 2048, 1, 1] # accum.fcos_body.backbone.layer4.2.conv1.weight
- , %para365 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.2.bn1.gamma
- , %para366 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.2.bn1.beta
- , %para367 : Ref[Tensor(F32)][512, 512, 3, 3] # accum.fcos_body.backbone.layer4.2.conv2.weight
- , %para368 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.2.bn2.gamma
- , %para369 : Ref[Tensor(F32)][512] # accum.fcos_body.backbone.layer4.2.bn2.beta
- , %para370 : Ref[Tensor(F32)][2048, 512, 1, 1] # accum.fcos_body.backbone.layer4.2.conv3.weight
- , %para371 : Ref[Tensor(F32)][2048] # accum.fcos_body.backbone.layer4.2.bn3.gamma
- , %para372 : Ref[Tensor(F32)][2048] # accum.fcos_body.backbone.layer4.2.bn3.beta
- , %para373 : Ref[Tensor(F32)][1001, 2048] # accum.fcos_body.backbone.end_point.weight
- , %para374 : Ref[Tensor(F32)][1001] # accum.fcos_body.backbone.end_point.bias
- , %para375 : Ref[Tensor(F32)][256, 2048, 1, 1] # accum.fcos_body.fpn.prj_5.weight
- , %para376 : Ref[Tensor(F32)][256] # accum.fcos_body.fpn.prj_5.bias
- , %para377 : Ref[Tensor(F32)][256, 1024, 1, 1] # accum.fcos_body.fpn.prj_4.weight
- , %para378 : Ref[Tensor(F32)][256] # accum.fcos_body.fpn.prj_4.bias
- , %para379 : Ref[Tensor(F32)][256, 512, 1, 1] # accum.fcos_body.fpn.prj_3.weight
- , %para380 : Ref[Tensor(F32)][256] # accum.fcos_body.fpn.prj_3.bias
- , %para381 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.fpn.conv_5.weight
- , %para382 : Ref[Tensor(F32)][256] # accum.fcos_body.fpn.conv_5.bias
- , %para383 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.fpn.conv_4.weight
- , %para384 : Ref[Tensor(F32)][256] # accum.fcos_body.fpn.conv_4.bias
- , %para385 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.fpn.conv_3.weight
- , %para386 : Ref[Tensor(F32)][256] # accum.fcos_body.fpn.conv_3.bias
- , %para387 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.fpn.conv_out6.weight
- , %para388 : Ref[Tensor(F32)][256] # accum.fcos_body.fpn.conv_out6.bias
- , %para389 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.fpn.conv_out7.weight
- , %para390 : Ref[Tensor(F32)][256] # accum.fcos_body.fpn.conv_out7.bias
- , %para391 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.head.cls_conv.0.weight
- , %para392 : Ref[Tensor(F32)][256] # accum.fcos_body.head.cls_conv.0.bias
- , %para393 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.head.cls_conv.2.weight
- , %para394 : Ref[Tensor(F32)][256] # accum.fcos_body.head.cls_conv.2.bias
- , %para395 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.head.cls_conv.4.weight
- , %para396 : Ref[Tensor(F32)][256] # accum.fcos_body.head.cls_conv.4.bias
- , %para397 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.head.cls_conv.6.weight
- , %para398 : Ref[Tensor(F32)][256] # accum.fcos_body.head.cls_conv.6.bias
- , %para399 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.head.reg_conv.0.weight
- , %para400 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.0.bias
- , %para401 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.1.gamma
- , %para402 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.1.beta
- , %para403 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.head.reg_conv.3.weight
- , %para404 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.3.bias
- , %para405 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.4.gamma
- , %para406 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.4.beta
- , %para407 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.head.reg_conv.6.weight
- , %para408 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.6.bias
- , %para409 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.7.gamma
- , %para410 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.7.beta
- , %para411 : Ref[Tensor(F32)][256, 256, 3, 3] # accum.fcos_body.head.reg_conv.9.weight
- , %para412 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.9.bias
- , %para413 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.10.gamma
- , %para414 : Ref[Tensor(F32)][256] # accum.fcos_body.head.reg_conv.10.beta
- , %para415 : Ref[Tensor(F32)][80, 256, 3, 3] # accum.fcos_body.head.cls_logits.weight
- , %para416 : Ref[Tensor(F32)][80] # accum.fcos_body.head.cls_logits.bias
- , %para417 : Ref[Tensor(F32)][1, 256, 3, 3] # accum.fcos_body.head.cnt_logits.weight
- , %para418 : Ref[Tensor(F32)][1] # accum.fcos_body.head.cnt_logits.bias
- , %para419 : Ref[Tensor(F32)][4, 256, 3, 3] # accum.fcos_body.head.reg_pred.weight
- , %para420 : Ref[Tensor(F32)][4] # accum.fcos_body.head.reg_pred.bias
- , %para421 : Ref[Tensor(F32)][1] # accum.fcos_body.head.scale_exp.0.scale
- , %para422 : Ref[Tensor(F32)][1] # accum.fcos_body.head.scale_exp.1.scale
- , %para423 : Ref[Tensor(F32)][1] # accum.fcos_body.head.scale_exp.2.scale
- , %para424 : Ref[Tensor(F32)][1] # accum.fcos_body.head.scale_exp.3.scale
- , %para425 : Ref[Tensor(F32)][1] # accum.fcos_body.head.scale_exp.4.scale
- , %para426 : Ref[Tensor(F32)][64, 3, 7, 7] # stat.fcos_body.backbone.conv1.weight
- , %para427 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.bn1.gamma
- , %para428 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.bn1.beta
- , %para429 : Ref[Tensor(F32)][64, 64, 1, 1] # stat.fcos_body.backbone.layer1.0.conv1.weight
- , %para430 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.0.bn1.gamma
- , %para431 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.0.bn1.beta
- , %para432 : Ref[Tensor(F32)][64, 64, 3, 3] # stat.fcos_body.backbone.layer1.0.conv2.weight
- , %para433 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.0.bn2.gamma
- , %para434 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.0.bn2.beta
- , %para435 : Ref[Tensor(F32)][256, 64, 1, 1] # stat.fcos_body.backbone.layer1.0.conv3.weight
- , %para436 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer1.0.bn3.gamma
- , %para437 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer1.0.bn3.beta
- , %para438 : Ref[Tensor(F32)][256, 64, 1, 1] # stat.fcos_body.backbone.layer1.0.down_sample_layer.0.weight
- , %para439 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer1.0.down_sample_layer.1.gamma
- , %para440 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer1.0.down_sample_layer.1.beta
- , %para441 : Ref[Tensor(F32)][64, 256, 1, 1] # stat.fcos_body.backbone.layer1.1.conv1.weight
- , %para442 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.1.bn1.gamma
- , %para443 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.1.bn1.beta
- , %para444 : Ref[Tensor(F32)][64, 64, 3, 3] # stat.fcos_body.backbone.layer1.1.conv2.weight
- , %para445 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.1.bn2.gamma
- , %para446 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.1.bn2.beta
- , %para447 : Ref[Tensor(F32)][256, 64, 1, 1] # stat.fcos_body.backbone.layer1.1.conv3.weight
- , %para448 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer1.1.bn3.gamma
- , %para449 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer1.1.bn3.beta
- , %para450 : Ref[Tensor(F32)][64, 256, 1, 1] # stat.fcos_body.backbone.layer1.2.conv1.weight
- , %para451 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.2.bn1.gamma
- , %para452 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.2.bn1.beta
- , %para453 : Ref[Tensor(F32)][64, 64, 3, 3] # stat.fcos_body.backbone.layer1.2.conv2.weight
- , %para454 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.2.bn2.gamma
- , %para455 : Ref[Tensor(F32)][64] # stat.fcos_body.backbone.layer1.2.bn2.beta
- , %para456 : Ref[Tensor(F32)][256, 64, 1, 1] # stat.fcos_body.backbone.layer1.2.conv3.weight
- , %para457 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer1.2.bn3.gamma
- , %para458 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer1.2.bn3.beta
- , %para459 : Ref[Tensor(F32)][128, 256, 1, 1] # stat.fcos_body.backbone.layer2.0.conv1.weight
- , %para460 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.0.bn1.gamma
- , %para461 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.0.bn1.beta
- , %para462 : Ref[Tensor(F32)][128, 128, 3, 3] # stat.fcos_body.backbone.layer2.0.conv2.weight
- , %para463 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.0.bn2.gamma
- , %para464 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.0.bn2.beta
- , %para465 : Ref[Tensor(F32)][512, 128, 1, 1] # stat.fcos_body.backbone.layer2.0.conv3.weight
- , %para466 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.0.bn3.gamma
- , %para467 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.0.bn3.beta
- , %para468 : Ref[Tensor(F32)][512, 256, 1, 1] # stat.fcos_body.backbone.layer2.0.down_sample_layer.0.weight
- , %para469 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.0.down_sample_layer.1.gamma
- , %para470 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.0.down_sample_layer.1.beta
- , %para471 : Ref[Tensor(F32)][128, 512, 1, 1] # stat.fcos_body.backbone.layer2.1.conv1.weight
- , %para472 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.1.bn1.gamma
- , %para473 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.1.bn1.beta
- , %para474 : Ref[Tensor(F32)][128, 128, 3, 3] # stat.fcos_body.backbone.layer2.1.conv2.weight
- , %para475 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.1.bn2.gamma
- , %para476 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.1.bn2.beta
- , %para477 : Ref[Tensor(F32)][512, 128, 1, 1] # stat.fcos_body.backbone.layer2.1.conv3.weight
- , %para478 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.1.bn3.gamma
- , %para479 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.1.bn3.beta
- , %para480 : Ref[Tensor(F32)][128, 512, 1, 1] # stat.fcos_body.backbone.layer2.2.conv1.weight
- , %para481 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.2.bn1.gamma
- , %para482 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.2.bn1.beta
- , %para483 : Ref[Tensor(F32)][128, 128, 3, 3] # stat.fcos_body.backbone.layer2.2.conv2.weight
- , %para484 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.2.bn2.gamma
- , %para485 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.2.bn2.beta
- , %para486 : Ref[Tensor(F32)][512, 128, 1, 1] # stat.fcos_body.backbone.layer2.2.conv3.weight
- , %para487 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.2.bn3.gamma
- , %para488 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.2.bn3.beta
- , %para489 : Ref[Tensor(F32)][128, 512, 1, 1] # stat.fcos_body.backbone.layer2.3.conv1.weight
- , %para490 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.3.bn1.gamma
- , %para491 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.3.bn1.beta
- , %para492 : Ref[Tensor(F32)][128, 128, 3, 3] # stat.fcos_body.backbone.layer2.3.conv2.weight
- , %para493 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.3.bn2.gamma
- , %para494 : Ref[Tensor(F32)][128] # stat.fcos_body.backbone.layer2.3.bn2.beta
- , %para495 : Ref[Tensor(F32)][512, 128, 1, 1] # stat.fcos_body.backbone.layer2.3.conv3.weight
- , %para496 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.3.bn3.gamma
- , %para497 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer2.3.bn3.beta
- , %para498 : Ref[Tensor(F32)][256, 512, 1, 1] # stat.fcos_body.backbone.layer3.0.conv1.weight
- , %para499 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.0.bn1.gamma
- , %para500 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.0.bn1.beta
- , %para501 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.backbone.layer3.0.conv2.weight
- , %para502 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.0.bn2.gamma
- , %para503 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.0.bn2.beta
- , %para504 : Ref[Tensor(F32)][1024, 256, 1, 1] # stat.fcos_body.backbone.layer3.0.conv3.weight
- , %para505 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.0.bn3.gamma
- , %para506 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.0.bn3.beta
- , %para507 : Ref[Tensor(F32)][1024, 512, 1, 1] # stat.fcos_body.backbone.layer3.0.down_sample_layer.0.weight
- , %para508 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.0.down_sample_layer.1.gamma
- , %para509 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.0.down_sample_layer.1.beta
- , %para510 : Ref[Tensor(F32)][256, 1024, 1, 1] # stat.fcos_body.backbone.layer3.1.conv1.weight
- , %para511 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.1.bn1.gamma
- , %para512 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.1.bn1.beta
- , %para513 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.backbone.layer3.1.conv2.weight
- , %para514 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.1.bn2.gamma
- , %para515 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.1.bn2.beta
- , %para516 : Ref[Tensor(F32)][1024, 256, 1, 1] # stat.fcos_body.backbone.layer3.1.conv3.weight
- , %para517 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.1.bn3.gamma
- , %para518 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.1.bn3.beta
- , %para519 : Ref[Tensor(F32)][256, 1024, 1, 1] # stat.fcos_body.backbone.layer3.2.conv1.weight
- , %para520 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.2.bn1.gamma
- , %para521 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.2.bn1.beta
- , %para522 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.backbone.layer3.2.conv2.weight
- , %para523 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.2.bn2.gamma
- , %para524 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.2.bn2.beta
- , %para525 : Ref[Tensor(F32)][1024, 256, 1, 1] # stat.fcos_body.backbone.layer3.2.conv3.weight
- , %para526 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.2.bn3.gamma
- , %para527 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.2.bn3.beta
- , %para528 : Ref[Tensor(F32)][256, 1024, 1, 1] # stat.fcos_body.backbone.layer3.3.conv1.weight
- , %para529 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.3.bn1.gamma
- , %para530 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.3.bn1.beta
- , %para531 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.backbone.layer3.3.conv2.weight
- , %para532 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.3.bn2.gamma
- , %para533 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.3.bn2.beta
- , %para534 : Ref[Tensor(F32)][1024, 256, 1, 1] # stat.fcos_body.backbone.layer3.3.conv3.weight
- , %para535 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.3.bn3.gamma
- , %para536 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.3.bn3.beta
- , %para537 : Ref[Tensor(F32)][256, 1024, 1, 1] # stat.fcos_body.backbone.layer3.4.conv1.weight
- , %para538 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.4.bn1.gamma
- , %para539 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.4.bn1.beta
- , %para540 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.backbone.layer3.4.conv2.weight
- , %para541 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.4.bn2.gamma
- , %para542 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.4.bn2.beta
- , %para543 : Ref[Tensor(F32)][1024, 256, 1, 1] # stat.fcos_body.backbone.layer3.4.conv3.weight
- , %para544 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.4.bn3.gamma
- , %para545 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.4.bn3.beta
- , %para546 : Ref[Tensor(F32)][256, 1024, 1, 1] # stat.fcos_body.backbone.layer3.5.conv1.weight
- , %para547 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.5.bn1.gamma
- , %para548 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.5.bn1.beta
- , %para549 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.backbone.layer3.5.conv2.weight
- , %para550 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.5.bn2.gamma
- , %para551 : Ref[Tensor(F32)][256] # stat.fcos_body.backbone.layer3.5.bn2.beta
- , %para552 : Ref[Tensor(F32)][1024, 256, 1, 1] # stat.fcos_body.backbone.layer3.5.conv3.weight
- , %para553 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.5.bn3.gamma
- , %para554 : Ref[Tensor(F32)][1024] # stat.fcos_body.backbone.layer3.5.bn3.beta
- , %para555 : Ref[Tensor(F32)][512, 1024, 1, 1] # stat.fcos_body.backbone.layer4.0.conv1.weight
- , %para556 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.0.bn1.gamma
- , %para557 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.0.bn1.beta
- , %para558 : Ref[Tensor(F32)][512, 512, 3, 3] # stat.fcos_body.backbone.layer4.0.conv2.weight
- , %para559 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.0.bn2.gamma
- , %para560 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.0.bn2.beta
- , %para561 : Ref[Tensor(F32)][2048, 512, 1, 1] # stat.fcos_body.backbone.layer4.0.conv3.weight
- , %para562 : Ref[Tensor(F32)][2048] # stat.fcos_body.backbone.layer4.0.bn3.gamma
- , %para563 : Ref[Tensor(F32)][2048] # stat.fcos_body.backbone.layer4.0.bn3.beta
- , %para564 : Ref[Tensor(F32)][2048, 1024, 1, 1] # stat.fcos_body.backbone.layer4.0.down_sample_layer.0.weight
- , %para565 : Ref[Tensor(F32)][2048] # stat.fcos_body.backbone.layer4.0.down_sample_layer.1.gamma
- , %para566 : Ref[Tensor(F32)][2048] # stat.fcos_body.backbone.layer4.0.down_sample_layer.1.beta
- , %para567 : Ref[Tensor(F32)][512, 2048, 1, 1] # stat.fcos_body.backbone.layer4.1.conv1.weight
- , %para568 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.1.bn1.gamma
- , %para569 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.1.bn1.beta
- , %para570 : Ref[Tensor(F32)][512, 512, 3, 3] # stat.fcos_body.backbone.layer4.1.conv2.weight
- , %para571 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.1.bn2.gamma
- , %para572 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.1.bn2.beta
- , %para573 : Ref[Tensor(F32)][2048, 512, 1, 1] # stat.fcos_body.backbone.layer4.1.conv3.weight
- , %para574 : Ref[Tensor(F32)][2048] # stat.fcos_body.backbone.layer4.1.bn3.gamma
- , %para575 : Ref[Tensor(F32)][2048] # stat.fcos_body.backbone.layer4.1.bn3.beta
- , %para576 : Ref[Tensor(F32)][512, 2048, 1, 1] # stat.fcos_body.backbone.layer4.2.conv1.weight
- , %para577 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.2.bn1.gamma
- , %para578 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.2.bn1.beta
- , %para579 : Ref[Tensor(F32)][512, 512, 3, 3] # stat.fcos_body.backbone.layer4.2.conv2.weight
- , %para580 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.2.bn2.gamma
- , %para581 : Ref[Tensor(F32)][512] # stat.fcos_body.backbone.layer4.2.bn2.beta
- , %para582 : Ref[Tensor(F32)][2048, 512, 1, 1] # stat.fcos_body.backbone.layer4.2.conv3.weight
- , %para583 : Ref[Tensor(F32)][2048] # stat.fcos_body.backbone.layer4.2.bn3.gamma
- , %para584 : Ref[Tensor(F32)][2048] # stat.fcos_body.backbone.layer4.2.bn3.beta
- , %para585 : Ref[Tensor(F32)][1001, 2048] # stat.fcos_body.backbone.end_point.weight
- , %para586 : Ref[Tensor(F32)][1001] # stat.fcos_body.backbone.end_point.bias
- , %para587 : Ref[Tensor(F32)][256, 2048, 1, 1] # stat.fcos_body.fpn.prj_5.weight
- , %para588 : Ref[Tensor(F32)][256] # stat.fcos_body.fpn.prj_5.bias
- , %para589 : Ref[Tensor(F32)][256, 1024, 1, 1] # stat.fcos_body.fpn.prj_4.weight
- , %para590 : Ref[Tensor(F32)][256] # stat.fcos_body.fpn.prj_4.bias
- , %para591 : Ref[Tensor(F32)][256, 512, 1, 1] # stat.fcos_body.fpn.prj_3.weight
- , %para592 : Ref[Tensor(F32)][256] # stat.fcos_body.fpn.prj_3.bias
- , %para593 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.fpn.conv_5.weight
- , %para594 : Ref[Tensor(F32)][256] # stat.fcos_body.fpn.conv_5.bias
- , %para595 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.fpn.conv_4.weight
- , %para596 : Ref[Tensor(F32)][256] # stat.fcos_body.fpn.conv_4.bias
- , %para597 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.fpn.conv_3.weight
- , %para598 : Ref[Tensor(F32)][256] # stat.fcos_body.fpn.conv_3.bias
- , %para599 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.fpn.conv_out6.weight
- , %para600 : Ref[Tensor(F32)][256] # stat.fcos_body.fpn.conv_out6.bias
- , %para601 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.fpn.conv_out7.weight
- , %para602 : Ref[Tensor(F32)][256] # stat.fcos_body.fpn.conv_out7.bias
- , %para603 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.head.cls_conv.0.weight
- , %para604 : Ref[Tensor(F32)][256] # stat.fcos_body.head.cls_conv.0.bias
- , %para605 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.head.cls_conv.2.weight
- , %para606 : Ref[Tensor(F32)][256] # stat.fcos_body.head.cls_conv.2.bias
- , %para607 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.head.cls_conv.4.weight
- , %para608 : Ref[Tensor(F32)][256] # stat.fcos_body.head.cls_conv.4.bias
- , %para609 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.head.cls_conv.6.weight
- , %para610 : Ref[Tensor(F32)][256] # stat.fcos_body.head.cls_conv.6.bias
- , %para611 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.head.reg_conv.0.weight
- , %para612 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.0.bias
- , %para613 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.1.gamma
- , %para614 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.1.beta
- , %para615 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.head.reg_conv.3.weight
- , %para616 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.3.bias
- , %para617 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.4.gamma
- , %para618 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.4.beta
- , %para619 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.head.reg_conv.6.weight
- , %para620 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.6.bias
- , %para621 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.7.gamma
- , %para622 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.7.beta
- , %para623 : Ref[Tensor(F32)][256, 256, 3, 3] # stat.fcos_body.head.reg_conv.9.weight
- , %para624 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.9.bias
- , %para625 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.10.gamma
- , %para626 : Ref[Tensor(F32)][256] # stat.fcos_body.head.reg_conv.10.beta
- , %para627 : Ref[Tensor(F32)][80, 256, 3, 3] # stat.fcos_body.head.cls_logits.weight
- , %para628 : Ref[Tensor(F32)][80] # stat.fcos_body.head.cls_logits.bias
- , %para629 : Ref[Tensor(F32)][1, 256, 3, 3] # stat.fcos_body.head.cnt_logits.weight
- , %para630 : Ref[Tensor(F32)][1] # stat.fcos_body.head.cnt_logits.bias
- , %para631 : Ref[Tensor(F32)][4, 256, 3, 3] # stat.fcos_body.head.reg_pred.weight
- , %para632 : Ref[Tensor(F32)][4] # stat.fcos_body.head.reg_pred.bias
- , %para633 : Ref[Tensor(F32)][1] # stat.fcos_body.head.scale_exp.0.scale
- , %para634 : Ref[Tensor(F32)][1] # stat.fcos_body.head.scale_exp.1.scale
- , %para635 : Ref[Tensor(F32)][1] # stat.fcos_body.head.scale_exp.2.scale
- , %para636 : Ref[Tensor(F32)][1] # stat.fcos_body.head.scale_exp.3.scale
- , %para637 : Ref[Tensor(F32)][1] # stat.fcos_body.head.scale_exp.4.scale
- , %para638 : Ref[Tensor(F32)][] # momentum
- , %para639 : Ref[Tensor(F32)][703584] # learning_rate
- , %para640 : Ref[Tensor(I32)][1] # global_step
- , %para641 : Ref[Tensor(F32)][64] # fcos_body.backbone.bn1.moving_mean
- , %para642 : Ref[Tensor(F32)][64] # fcos_body.backbone.bn1.moving_variance
- , %para643 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.0.bn2.moving_mean
- , %para644 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.0.bn2.moving_variance
- , %para645 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.1.bn2.moving_mean
- , %para646 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.1.bn2.moving_variance
- , %para647 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.2.bn2.moving_mean
- , %para648 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.2.bn2.moving_variance
- , %para649 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.3.bn2.moving_mean
- , %para650 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.3.bn2.moving_variance
- , %para651 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.0.bn2.moving_mean
- , %para652 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.0.bn2.moving_variance
- , %para653 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.1.bn2.moving_mean
- , %para654 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.1.bn2.moving_variance
- , %para655 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.2.bn2.moving_mean
- , %para656 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.2.bn2.moving_variance
- , %para657 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.3.bn2.moving_mean
- , %para658 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.3.bn2.moving_variance
- , %para659 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.4.bn2.moving_mean
- , %para660 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.4.bn2.moving_variance
- , %para661 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.5.bn2.moving_mean
- , %para662 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.5.bn2.moving_variance
- , %para663 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.0.bn2.moving_mean
- , %para664 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.0.bn2.moving_variance
- , %para665 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.1.bn2.moving_mean
- , %para666 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.1.bn2.moving_variance
- , %para667 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.2.bn2.moving_mean
- , %para668 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.2.bn2.moving_variance
- , %para669 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.0.bn1.moving_mean
- , %para670 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.0.bn1.moving_variance
- , %para671 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.1.bn1.moving_mean
- , %para672 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.1.bn1.moving_variance
- , %para673 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.2.bn1.moving_mean
- , %para674 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.2.bn1.moving_variance
- , %para675 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.3.bn1.moving_mean
- , %para676 : Ref[Tensor(F32)][128] # fcos_body.backbone.layer2.3.bn1.moving_variance
- , %para677 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.0.bn2.moving_mean
- , %para678 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.0.bn2.moving_variance
- , %para679 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.1.bn2.moving_mean
- , %para680 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.1.bn2.moving_variance
- , %para681 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.2.bn2.moving_mean
- , %para682 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.2.bn2.moving_variance
- , %para683 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.0.bn1.moving_mean
- , %para684 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.0.bn1.moving_variance
- , %para685 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.1.bn1.moving_mean
- , %para686 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.1.bn1.moving_variance
- , %para687 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.2.bn1.moving_mean
- , %para688 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.2.bn1.moving_variance
- , %para689 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.3.bn1.moving_mean
- , %para690 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.3.bn1.moving_variance
- , %para691 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.4.bn1.moving_mean
- , %para692 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.4.bn1.moving_variance
- , %para693 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.5.bn1.moving_mean
- , %para694 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer3.5.bn1.moving_variance
- , %para695 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.0.bn1.moving_mean
- , %para696 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.0.bn1.moving_variance
- , %para697 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.1.bn1.moving_mean
- , %para698 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.1.bn1.moving_variance
- , %para699 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.2.bn1.moving_mean
- , %para700 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer4.2.bn1.moving_variance
- , %para701 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.0.bn1.moving_mean
- , %para702 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.0.bn1.moving_variance
- , %para703 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.1.bn1.moving_mean
- , %para704 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.1.bn1.moving_variance
- , %para705 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.2.bn1.moving_mean
- , %para706 : Ref[Tensor(F32)][64] # fcos_body.backbone.layer1.2.bn1.moving_variance
- , %para707 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.0.bn3.moving_mean
- , %para708 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.0.bn3.moving_variance
- , %para709 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.1.bn3.moving_mean
- , %para710 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.1.bn3.moving_variance
- , %para711 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.2.bn3.moving_mean
- , %para712 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.2.bn3.moving_variance
- , %para713 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.3.bn3.moving_mean
- , %para714 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.3.bn3.moving_variance
- , %para715 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.0.bn3.moving_mean
- , %para716 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.0.bn3.moving_variance
- , %para717 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.1.bn3.moving_mean
- , %para718 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.1.bn3.moving_variance
- , %para719 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.2.bn3.moving_mean
- , %para720 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.2.bn3.moving_variance
- , %para721 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.3.bn3.moving_mean
- , %para722 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.3.bn3.moving_variance
- , %para723 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.4.bn3.moving_mean
- , %para724 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.4.bn3.moving_variance
- , %para725 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.5.bn3.moving_mean
- , %para726 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.5.bn3.moving_variance
- , %para727 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.0.bn3.moving_mean
- , %para728 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.0.bn3.moving_variance
- , %para729 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.1.bn3.moving_mean
- , %para730 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.1.bn3.moving_variance
- , %para731 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.2.bn3.moving_mean
- , %para732 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.2.bn3.moving_variance
- , %para733 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.0.bn3.moving_mean
- , %para734 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.0.bn3.moving_variance
- , %para735 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.1.bn3.moving_mean
- , %para736 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.1.bn3.moving_variance
- , %para737 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.2.bn3.moving_mean
- , %para738 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.2.bn3.moving_variance
- , %para739 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.0.down_sample_layer.1.moving_mean
- , %para740 : Ref[Tensor(F32)][512] # fcos_body.backbone.layer2.0.down_sample_layer.1.moving_variance
- , %para741 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.0.down_sample_layer.1.moving_mean
- , %para742 : Ref[Tensor(F32)][1024] # fcos_body.backbone.layer3.0.down_sample_layer.1.moving_variance
- , %para743 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.0.down_sample_layer.1.moving_mean
- , %para744 : Ref[Tensor(F32)][2048] # fcos_body.backbone.layer4.0.down_sample_layer.1.moving_variance
- , %para745 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.0.down_sample_layer.1.moving_mean
- , %para746 : Ref[Tensor(F32)][256] # fcos_body.backbone.layer1.0.down_sample_layer.1.moving_variance
- ) {
- %1 : Tuple[Tensor(F32)*2,Tensor(I64)] = PrimitivePy::GetNext{prim_type=1}[types=[F32, F32, I64], shapes=[[I64(4), I64(3), I64(1344), I64(1344)], [I64(4), I64(90), I64(4)], [I64(4), I64(90)]], output_num=I64(3), shared_name="363db5a0-5958-11ec-94ab-78b46aab4535"]() #scope: Default
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/train/dataset_helper.py(78)/ outputs = self.get_next()/#outputs
- %2 : Tensor(F32)[4, 3, 1344, 1344] = Primitive::TupleGetItem{prim_type=1}(%1, I64(0)) #(Tuple[Tensor(F32)*2,Tensor(I64)], I64) #scope: Default
- # #329
- %3 : Tensor(F32)[4, 90, 4] = Primitive::TupleGetItem{prim_type=1}(%1, I64(1)) #(Tuple[Tensor(F32)*2,Tensor(I64)], I64) #scope: Default
- # #330
- %4 : Tensor(I64)[4, 90] = Primitive::TupleGetItem{prim_type=1}(%1, I64(2)) #(Tuple[Tensor(F32)*2,Tensor(I64)], I64) #scope: Default
- # #331
-
- #------------------------> 0
- %5 = FuncGraph::fg_327(%2, %3, %4, UMonad[U]) #(Tensor(F32)[4, 3, 1344, 1344], Tensor(F32)[4, 90, 4], Tensor(I64)[4, 90], UMonad) # fg_327=▶6144_8_construct.327 #scope: Default/network-TrainOneStepCell
- # #332
- %6 = Primitive::TupleGetItem{prim_type=1}(%5, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]333
- %7 = FuncGraph::fg_327(%2, %3, %4, UMonad[U]) #(Tensor(F32)[4, 3, 1344, 1344], Tensor(F32)[4, 90, 4], Tensor(I64)[4, 90], Undefined) # fg_327=▶6144_8_construct.327 #scope: Default/network-TrainOneStepCell
- # In file /home/zsl_2/model/fcos.py(211)/ def construct(self, input_imgs, input_boxes, input_classes)://#construct
- %8 = Primitive::TupleGetItem{prim_type=1}(%7, I64(1)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /home/zsl_2/model/fcos.py(211)/ def construct(self, input_imgs, input_boxes, input_classes)://#construct
- %9 = %8(Tensor(43)[1]) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /home/zsl_2/model/fcos.py(211)/ def construct(self, input_imgs, input_boxes, input_classes)://#construct
- %10 = Primitive::TupleGetItem{prim_type=1}(%9, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /home/zsl_2/model/fcos.py(211)/ def construct(self, input_imgs, input_boxes, input_classes)://#construct
- %11 = Primitive::UpdateState{prim_type=1}(UMonad[U], %7) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]334
- %12 = Primitive::Load{prim_type=1}(%para2, %11) #(Ref[Tensor(F32)][64, 3, 7, 7], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]335
- %13 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%12) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %14 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para2), %13) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %15 = Primitive::Load{prim_type=1}(%para639, %11) #(Ref[Tensor(F32)][703584], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]338
- %16 = Primitive::Load{prim_type=1}(%para640, %11) #(Ref[Tensor(I32)][1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]339
- %17 = PrimitivePy::Gather{prim_type=1}[input_names=["params", "indices", "axis"], output_names=["output"]](%15, %16, I64(0)) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD/learning_rate-_IteratorLearningRate
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/optimizer.py(775)/ return self.gather(self.learning_rate, global_step, 0)/#[CNode]340
- %18 = Primitive::Load{prim_type=1}(%para213, %11) #(Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]341
- %19 = Primitive::Load{prim_type=1}(%para212, %11) #(Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]341
- %20 = Primitive::Load{prim_type=1}(%para211, %11) #(Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]341
- %21 = Primitive::Load{prim_type=1}(%para210, %11) #(Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]341
- %22 = Primitive::Load{prim_type=1}(%para209, %11) #(Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]341
- %23 = Primitive::Load{prim_type=1}(%para208, %11) #(Ref[Tensor(F32)][4], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]342
- %24 = Primitive::Load{prim_type=1}(%para207, %11) #(Ref[Tensor(F32)][4, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]343
- %25 = Primitive::Load{prim_type=1}(%para206, %11) #(Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]341
- %26 = Primitive::Load{prim_type=1}(%para205, %11) #(Ref[Tensor(F32)][1, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]344
- %27 = Primitive::Load{prim_type=1}(%para204, %11) #(Ref[Tensor(F32)][80], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]345
- %28 = Primitive::Load{prim_type=1}(%para203, %11) #(Ref[Tensor(F32)][80, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]346
- %29 = Primitive::Load{prim_type=1}(%para202, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %30 = Primitive::Load{prim_type=1}(%para201, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %31 = Primitive::Load{prim_type=1}(%para200, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %32 = Primitive::Load{prim_type=1}(%para199, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %33 = Primitive::Load{prim_type=1}(%para198, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %34 = Primitive::Load{prim_type=1}(%para197, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %35 = Primitive::Load{prim_type=1}(%para196, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %36 = Primitive::Load{prim_type=1}(%para195, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %37 = Primitive::Load{prim_type=1}(%para194, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %38 = Primitive::Load{prim_type=1}(%para193, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %39 = Primitive::Load{prim_type=1}(%para192, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %40 = Primitive::Load{prim_type=1}(%para191, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %41 = Primitive::Load{prim_type=1}(%para190, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %42 = Primitive::Load{prim_type=1}(%para189, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %43 = Primitive::Load{prim_type=1}(%para188, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %44 = Primitive::Load{prim_type=1}(%para187, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %45 = Primitive::Load{prim_type=1}(%para186, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %46 = Primitive::Load{prim_type=1}(%para185, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %47 = Primitive::Load{prim_type=1}(%para184, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %48 = Primitive::Load{prim_type=1}(%para183, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %49 = Primitive::Load{prim_type=1}(%para182, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %50 = Primitive::Load{prim_type=1}(%para181, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %51 = Primitive::Load{prim_type=1}(%para180, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %52 = Primitive::Load{prim_type=1}(%para179, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %53 = Primitive::Load{prim_type=1}(%para178, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %54 = Primitive::Load{prim_type=1}(%para177, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %55 = Primitive::Load{prim_type=1}(%para176, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %56 = Primitive::Load{prim_type=1}(%para175, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %57 = Primitive::Load{prim_type=1}(%para174, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %58 = Primitive::Load{prim_type=1}(%para173, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %59 = Primitive::Load{prim_type=1}(%para172, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %60 = Primitive::Load{prim_type=1}(%para171, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %61 = Primitive::Load{prim_type=1}(%para170, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %62 = Primitive::Load{prim_type=1}(%para169, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %63 = Primitive::Load{prim_type=1}(%para168, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %64 = Primitive::Load{prim_type=1}(%para167, %11) #(Ref[Tensor(F32)][256, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]349
- %65 = Primitive::Load{prim_type=1}(%para166, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %66 = Primitive::Load{prim_type=1}(%para165, %11) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]350
- %67 = Primitive::Load{prim_type=1}(%para164, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %68 = Primitive::Load{prim_type=1}(%para163, %11) #(Ref[Tensor(F32)][256, 2048, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]351
- %69 = Primitive::Load{prim_type=1}(%para162, %11) #(Ref[Tensor(F32)][1001], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]352
- %70 = Primitive::Load{prim_type=1}(%para161, %11) #(Ref[Tensor(F32)][1001, 2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]353
- %71 = Primitive::Load{prim_type=1}(%para160, %11) #(Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]354
- %72 = Primitive::Load{prim_type=1}(%para159, %11) #(Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]354
- %73 = Primitive::Load{prim_type=1}(%para158, %11) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]355
- %74 = Primitive::Load{prim_type=1}(%para157, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %75 = Primitive::Load{prim_type=1}(%para156, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %76 = Primitive::Load{prim_type=1}(%para155, %11) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]357
- %77 = Primitive::Load{prim_type=1}(%para154, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %78 = Primitive::Load{prim_type=1}(%para153, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %79 = Primitive::Load{prim_type=1}(%para152, %11) #(Ref[Tensor(F32)][512, 2048, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]358
- %80 = Primitive::Load{prim_type=1}(%para151, %11) #(Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]354
- %81 = Primitive::Load{prim_type=1}(%para150, %11) #(Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]354
- %82 = Primitive::Load{prim_type=1}(%para149, %11) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]355
- %83 = Primitive::Load{prim_type=1}(%para148, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %84 = Primitive::Load{prim_type=1}(%para147, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %85 = Primitive::Load{prim_type=1}(%para146, %11) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]357
- %86 = Primitive::Load{prim_type=1}(%para145, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %87 = Primitive::Load{prim_type=1}(%para144, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %88 = Primitive::Load{prim_type=1}(%para143, %11) #(Ref[Tensor(F32)][512, 2048, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]358
- %89 = Primitive::Load{prim_type=1}(%para142, %11) #(Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]354
- %90 = Primitive::Load{prim_type=1}(%para141, %11) #(Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]354
- %91 = Primitive::Load{prim_type=1}(%para140, %11) #(Ref[Tensor(F32)][2048, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]359
- %92 = Primitive::Load{prim_type=1}(%para139, %11) #(Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]354
- %93 = Primitive::Load{prim_type=1}(%para138, %11) #(Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]354
- %94 = Primitive::Load{prim_type=1}(%para137, %11) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]355
- %95 = Primitive::Load{prim_type=1}(%para136, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %96 = Primitive::Load{prim_type=1}(%para135, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %97 = Primitive::Load{prim_type=1}(%para134, %11) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]357
- %98 = Primitive::Load{prim_type=1}(%para133, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %99 = Primitive::Load{prim_type=1}(%para132, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %100 = Primitive::Load{prim_type=1}(%para131, %11) #(Ref[Tensor(F32)][512, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]360
- %101 = Primitive::Load{prim_type=1}(%para130, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %102 = Primitive::Load{prim_type=1}(%para129, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %103 = Primitive::Load{prim_type=1}(%para128, %11) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]362
- %104 = Primitive::Load{prim_type=1}(%para127, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %105 = Primitive::Load{prim_type=1}(%para126, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %106 = Primitive::Load{prim_type=1}(%para125, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %107 = Primitive::Load{prim_type=1}(%para124, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %108 = Primitive::Load{prim_type=1}(%para123, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %109 = Primitive::Load{prim_type=1}(%para122, %11) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]350
- %110 = Primitive::Load{prim_type=1}(%para121, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %111 = Primitive::Load{prim_type=1}(%para120, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %112 = Primitive::Load{prim_type=1}(%para119, %11) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]362
- %113 = Primitive::Load{prim_type=1}(%para118, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %114 = Primitive::Load{prim_type=1}(%para117, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %115 = Primitive::Load{prim_type=1}(%para116, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %116 = Primitive::Load{prim_type=1}(%para115, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %117 = Primitive::Load{prim_type=1}(%para114, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %118 = Primitive::Load{prim_type=1}(%para113, %11) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]350
- %119 = Primitive::Load{prim_type=1}(%para112, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %120 = Primitive::Load{prim_type=1}(%para111, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %121 = Primitive::Load{prim_type=1}(%para110, %11) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]362
- %122 = Primitive::Load{prim_type=1}(%para109, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %123 = Primitive::Load{prim_type=1}(%para108, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %124 = Primitive::Load{prim_type=1}(%para107, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %125 = Primitive::Load{prim_type=1}(%para106, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %126 = Primitive::Load{prim_type=1}(%para105, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %127 = Primitive::Load{prim_type=1}(%para104, %11) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]350
- %128 = Primitive::Load{prim_type=1}(%para103, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %129 = Primitive::Load{prim_type=1}(%para102, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %130 = Primitive::Load{prim_type=1}(%para101, %11) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]362
- %131 = Primitive::Load{prim_type=1}(%para100, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %132 = Primitive::Load{prim_type=1}(%para99, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %133 = Primitive::Load{prim_type=1}(%para98, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %134 = Primitive::Load{prim_type=1}(%para97, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %135 = Primitive::Load{prim_type=1}(%para96, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %136 = Primitive::Load{prim_type=1}(%para95, %11) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]350
- %137 = Primitive::Load{prim_type=1}(%para94, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %138 = Primitive::Load{prim_type=1}(%para93, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %139 = Primitive::Load{prim_type=1}(%para92, %11) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]362
- %140 = Primitive::Load{prim_type=1}(%para91, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %141 = Primitive::Load{prim_type=1}(%para90, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %142 = Primitive::Load{prim_type=1}(%para89, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %143 = Primitive::Load{prim_type=1}(%para88, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %144 = Primitive::Load{prim_type=1}(%para87, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %145 = Primitive::Load{prim_type=1}(%para86, %11) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]350
- %146 = Primitive::Load{prim_type=1}(%para85, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %147 = Primitive::Load{prim_type=1}(%para84, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %148 = Primitive::Load{prim_type=1}(%para83, %11) #(Ref[Tensor(F32)][1024, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]363
- %149 = Primitive::Load{prim_type=1}(%para82, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %150 = Primitive::Load{prim_type=1}(%para81, %11) #(Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]361
- %151 = Primitive::Load{prim_type=1}(%para80, %11) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]362
- %152 = Primitive::Load{prim_type=1}(%para79, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %153 = Primitive::Load{prim_type=1}(%para78, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %154 = Primitive::Load{prim_type=1}(%para77, %11) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]348
- %155 = Primitive::Load{prim_type=1}(%para76, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %156 = Primitive::Load{prim_type=1}(%para75, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %157 = Primitive::Load{prim_type=1}(%para74, %11) #(Ref[Tensor(F32)][256, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]349
- %158 = Primitive::Load{prim_type=1}(%para73, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %159 = Primitive::Load{prim_type=1}(%para72, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %160 = Primitive::Load{prim_type=1}(%para71, %11) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]364
- %161 = Primitive::Load{prim_type=1}(%para70, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %162 = Primitive::Load{prim_type=1}(%para69, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %163 = Primitive::Load{prim_type=1}(%para68, %11) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]366
- %164 = Primitive::Load{prim_type=1}(%para67, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %165 = Primitive::Load{prim_type=1}(%para66, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %166 = Primitive::Load{prim_type=1}(%para65, %11) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]367
- %167 = Primitive::Load{prim_type=1}(%para64, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %168 = Primitive::Load{prim_type=1}(%para63, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %169 = Primitive::Load{prim_type=1}(%para62, %11) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]364
- %170 = Primitive::Load{prim_type=1}(%para61, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %171 = Primitive::Load{prim_type=1}(%para60, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %172 = Primitive::Load{prim_type=1}(%para59, %11) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]366
- %173 = Primitive::Load{prim_type=1}(%para58, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %174 = Primitive::Load{prim_type=1}(%para57, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %175 = Primitive::Load{prim_type=1}(%para56, %11) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]367
- %176 = Primitive::Load{prim_type=1}(%para55, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %177 = Primitive::Load{prim_type=1}(%para54, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %178 = Primitive::Load{prim_type=1}(%para53, %11) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]364
- %179 = Primitive::Load{prim_type=1}(%para52, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %180 = Primitive::Load{prim_type=1}(%para51, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %181 = Primitive::Load{prim_type=1}(%para50, %11) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]366
- %182 = Primitive::Load{prim_type=1}(%para49, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %183 = Primitive::Load{prim_type=1}(%para48, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %184 = Primitive::Load{prim_type=1}(%para47, %11) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]367
- %185 = Primitive::Load{prim_type=1}(%para46, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %186 = Primitive::Load{prim_type=1}(%para45, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %187 = Primitive::Load{prim_type=1}(%para44, %11) #(Ref[Tensor(F32)][512, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]368
- %188 = Primitive::Load{prim_type=1}(%para43, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %189 = Primitive::Load{prim_type=1}(%para42, %11) #(Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]356
- %190 = Primitive::Load{prim_type=1}(%para41, %11) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]364
- %191 = Primitive::Load{prim_type=1}(%para40, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %192 = Primitive::Load{prim_type=1}(%para39, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %193 = Primitive::Load{prim_type=1}(%para38, %11) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]366
- %194 = Primitive::Load{prim_type=1}(%para37, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %195 = Primitive::Load{prim_type=1}(%para36, %11) #(Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]365
- %196 = Primitive::Load{prim_type=1}(%para35, %11) #(Ref[Tensor(F32)][128, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]369
- %197 = Primitive::Load{prim_type=1}(%para34, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %198 = Primitive::Load{prim_type=1}(%para33, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %199 = Primitive::Load{prim_type=1}(%para32, %11) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]370
- %200 = Primitive::Load{prim_type=1}(%para31, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %201 = Primitive::Load{prim_type=1}(%para30, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %202 = Primitive::Load{prim_type=1}(%para29, %11) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]372
- %203 = Primitive::Load{prim_type=1}(%para28, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %204 = Primitive::Load{prim_type=1}(%para27, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %205 = Primitive::Load{prim_type=1}(%para26, %11) #(Ref[Tensor(F32)][64, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]373
- %206 = Primitive::Load{prim_type=1}(%para25, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %207 = Primitive::Load{prim_type=1}(%para24, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %208 = Primitive::Load{prim_type=1}(%para23, %11) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]370
- %209 = Primitive::Load{prim_type=1}(%para22, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %210 = Primitive::Load{prim_type=1}(%para21, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %211 = Primitive::Load{prim_type=1}(%para20, %11) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]372
- %212 = Primitive::Load{prim_type=1}(%para19, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %213 = Primitive::Load{prim_type=1}(%para18, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %214 = Primitive::Load{prim_type=1}(%para17, %11) #(Ref[Tensor(F32)][64, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]373
- %215 = Primitive::Load{prim_type=1}(%para16, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %216 = Primitive::Load{prim_type=1}(%para15, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %217 = Primitive::Load{prim_type=1}(%para14, %11) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]370
- %218 = Primitive::Load{prim_type=1}(%para13, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %219 = Primitive::Load{prim_type=1}(%para12, %11) #(Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]347
- %220 = Primitive::Load{prim_type=1}(%para11, %11) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]370
- %221 = Primitive::Load{prim_type=1}(%para10, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %222 = Primitive::Load{prim_type=1}(%para9, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %223 = Primitive::Load{prim_type=1}(%para8, %11) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]372
- %224 = Primitive::Load{prim_type=1}(%para7, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %225 = Primitive::Load{prim_type=1}(%para6, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %226 = Primitive::Load{prim_type=1}(%para5, %11) #(Ref[Tensor(F32)][64, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]374
- %227 = Primitive::Load{prim_type=1}(%para4, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %228 = Primitive::Load{prim_type=1}(%para3, %11) #(Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]371
- %229 = Primitive::MakeTuple{prim_type=1}(%18, %19, %20, %21, %22, %23, %24, %25, %26, %27, %28, %29, %30, %31, %32, %33, %34, %35, %36, %37, %38, %39, %40, %41, %42, %43, %44, %45, %46, %47, %48, %49, %50, %51, %52, %53, %54, %55, %56, %57, %58, %59, %60, %61, %62, %63, %64, %65, %66, %67, %68, %69, %70, %71, %72, %73, %74, %75, %76, %77, %78, %79, %80, %81, %82, %83, %84, %85, %86, %87, %88, %89, %90, %91, %92, %93, %94, %95, %96, %97, %98, %99, %100, %101, %102, %103, %104, %105, %106, %107, %108, %109, %110, %111, %112, %113, %114, %115, %116, %117, %118, %119, %120, %121, %122, %123, %124, %125, %126, %127, %128, %129, %130, %131, %132, %133, %134, %135, %136, %137, %138, %139, %140, %141, %142, %143, %144, %145, %146, %147, %148, %149, %150, %151, %152, %153, %154, %155, %156, %157, %158, %159, %160, %161, %162, %163, %164, %165, %166, %167, %168, %169, %170, %171, %172, %173, %174, %175, %176, %177, %178, %179, %180, %181, %182, %183, %184, %185, %186, %187, %188, %189, %190, %191, %192, %193, %194, %195, %196, %197, %198, %199, %200, %201, %202, %203, %204, %205, %206, %207, %208, %209, %210, %211, %212, %213, %214, %215, %216, %217, %218, %219, %220, %221, %222, %223, %224, %225, %226, %227, %228, %12, %16, %15) #(Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]375
- %230 = Primitive::UpdateState{prim_type=1}(%11, %229) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]375
- %231 = PrimitivePy::AssignAdd{prim_type=2}[input_names=["ref", "value"], output_names=["output"], side_effect_mem=Bool(1)](%para640, Tensor(34)[], %230) #(Ref[Tensor(I32)][1], Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/optimizer.py(556)/ self.assignadd(self.global_step, self.global_step_increase_tensor)/#[CNode]376
- %232 = Primitive::UpdateState{prim_type=1}(%230, %231) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]377
- %233 = PrimitivePy::RefToEmbed{prim_type=1}(%para213) #(Ref[Tensor(F32)][1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %234 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%18) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %235 = PrimitivePy::env_getitem{prim_type=1}(%10, %233, %234) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %236 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para213, %235, %17, %para425, %para638, %para637, %232) #(Ref[Tensor(F32)][1], Undefined, Undefined, Ref[Tensor(F32)][1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %237 = Primitive::UpdateState{prim_type=1}(%232, %236) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]380
- %238 = PrimitivePy::RefToEmbed{prim_type=1}(%para212) #(Ref[Tensor(F32)][1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %239 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%19) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %240 = PrimitivePy::env_getitem{prim_type=1}(%10, %238, %239) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %241 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para212, %240, %17, %para424, %para638, %para636, %237) #(Ref[Tensor(F32)][1], Undefined, Undefined, Ref[Tensor(F32)][1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %242 = Primitive::UpdateState{prim_type=1}(%237, %241) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]380
- %243 = PrimitivePy::RefToEmbed{prim_type=1}(%para211) #(Ref[Tensor(F32)][1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %244 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%20) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %245 = PrimitivePy::env_getitem{prim_type=1}(%10, %243, %244) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %246 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para211, %245, %17, %para423, %para638, %para635, %242) #(Ref[Tensor(F32)][1], Undefined, Undefined, Ref[Tensor(F32)][1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %247 = Primitive::UpdateState{prim_type=1}(%242, %246) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]380
- %248 = PrimitivePy::RefToEmbed{prim_type=1}(%para210) #(Ref[Tensor(F32)][1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %249 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%21) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %250 = PrimitivePy::env_getitem{prim_type=1}(%10, %248, %249) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %251 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para210, %250, %17, %para422, %para638, %para634, %247) #(Ref[Tensor(F32)][1], Undefined, Undefined, Ref[Tensor(F32)][1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %252 = Primitive::UpdateState{prim_type=1}(%247, %251) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]380
- %253 = PrimitivePy::RefToEmbed{prim_type=1}(%para209) #(Ref[Tensor(F32)][1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %254 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%22) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %255 = PrimitivePy::env_getitem{prim_type=1}(%10, %253, %254) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %256 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para209, %255, %17, %para421, %para638, %para633, %252) #(Ref[Tensor(F32)][1], Undefined, Undefined, Ref[Tensor(F32)][1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %257 = Primitive::UpdateState{prim_type=1}(%252, %256) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]380
- %258 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%23) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %259 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para208), %258) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %260 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para208, %259, %17, %para420, %para638, %para632, %257) #(Ref[Tensor(F32)][4], Undefined, Undefined, Ref[Tensor(F32)][4], Ref[Tensor(F32)][], Ref[Tensor(F32)][4], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %261 = Primitive::UpdateState{prim_type=1}(%257, %260) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]381
- %262 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%24) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %263 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para207), %262) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %264 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para207, %263, %17, %para419, %para638, %para631, %261) #(Ref[Tensor(F32)][4, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][4, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][4, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %265 = Primitive::UpdateState{prim_type=1}(%261, %264) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]382
- %266 = PrimitivePy::RefToEmbed{prim_type=1}(%para206) #(Ref[Tensor(F32)][1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %267 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%25) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %268 = PrimitivePy::env_getitem{prim_type=1}(%10, %266, %267) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %269 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para206, %268, %17, %para418, %para638, %para630, %265) #(Ref[Tensor(F32)][1], Undefined, Undefined, Ref[Tensor(F32)][1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %270 = Primitive::UpdateState{prim_type=1}(%265, %269) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]380
- %271 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%26) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %272 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para205), %271) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %273 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para205, %272, %17, %para417, %para638, %para629, %270) #(Ref[Tensor(F32)][1, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][1, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][1, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %274 = Primitive::UpdateState{prim_type=1}(%270, %273) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]383
- %275 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%27) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %276 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para204), %275) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %277 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para204, %276, %17, %para416, %para638, %para628, %274) #(Ref[Tensor(F32)][80], Undefined, Undefined, Ref[Tensor(F32)][80], Ref[Tensor(F32)][], Ref[Tensor(F32)][80], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %278 = Primitive::UpdateState{prim_type=1}(%274, %277) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]384
- %279 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%28) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %280 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para203), %279) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %281 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para203, %280, %17, %para415, %para638, %para627, %278) #(Ref[Tensor(F32)][80, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][80, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][80, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %282 = Primitive::UpdateState{prim_type=1}(%278, %281) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]385
- %283 = PrimitivePy::RefToEmbed{prim_type=1}(%para202) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %284 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%29) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %285 = PrimitivePy::env_getitem{prim_type=1}(%10, %283, %284) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %286 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para202, %285, %17, %para414, %para638, %para626, %282) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %287 = Primitive::UpdateState{prim_type=1}(%282, %286) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %288 = PrimitivePy::RefToEmbed{prim_type=1}(%para201) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %289 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%30) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %290 = PrimitivePy::env_getitem{prim_type=1}(%10, %288, %289) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %291 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para201, %290, %17, %para413, %para638, %para625, %287) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %292 = Primitive::UpdateState{prim_type=1}(%287, %291) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %293 = PrimitivePy::RefToEmbed{prim_type=1}(%para200) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %294 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%31) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %295 = PrimitivePy::env_getitem{prim_type=1}(%10, %293, %294) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %296 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para200, %295, %17, %para412, %para638, %para624, %292) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %297 = Primitive::UpdateState{prim_type=1}(%292, %296) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %298 = PrimitivePy::RefToEmbed{prim_type=1}(%para199) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %299 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%32) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %300 = PrimitivePy::env_getitem{prim_type=1}(%10, %298, %299) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %301 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para199, %300, %17, %para411, %para638, %para623, %297) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %302 = Primitive::UpdateState{prim_type=1}(%297, %301) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %303 = PrimitivePy::RefToEmbed{prim_type=1}(%para198) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %304 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%33) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %305 = PrimitivePy::env_getitem{prim_type=1}(%10, %303, %304) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %306 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para198, %305, %17, %para410, %para638, %para622, %302) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %307 = Primitive::UpdateState{prim_type=1}(%302, %306) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %308 = PrimitivePy::RefToEmbed{prim_type=1}(%para197) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %309 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%34) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %310 = PrimitivePy::env_getitem{prim_type=1}(%10, %308, %309) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %311 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para197, %310, %17, %para409, %para638, %para621, %307) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %312 = Primitive::UpdateState{prim_type=1}(%307, %311) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %313 = PrimitivePy::RefToEmbed{prim_type=1}(%para196) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %314 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%35) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %315 = PrimitivePy::env_getitem{prim_type=1}(%10, %313, %314) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %316 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para196, %315, %17, %para408, %para638, %para620, %312) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %317 = Primitive::UpdateState{prim_type=1}(%312, %316) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %318 = PrimitivePy::RefToEmbed{prim_type=1}(%para195) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %319 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%36) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %320 = PrimitivePy::env_getitem{prim_type=1}(%10, %318, %319) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %321 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para195, %320, %17, %para407, %para638, %para619, %317) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %322 = Primitive::UpdateState{prim_type=1}(%317, %321) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %323 = PrimitivePy::RefToEmbed{prim_type=1}(%para194) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %324 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%37) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %325 = PrimitivePy::env_getitem{prim_type=1}(%10, %323, %324) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %326 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para194, %325, %17, %para406, %para638, %para618, %322) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %327 = Primitive::UpdateState{prim_type=1}(%322, %326) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %328 = PrimitivePy::RefToEmbed{prim_type=1}(%para193) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %329 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%38) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %330 = PrimitivePy::env_getitem{prim_type=1}(%10, %328, %329) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %331 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para193, %330, %17, %para405, %para638, %para617, %327) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %332 = Primitive::UpdateState{prim_type=1}(%327, %331) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %333 = PrimitivePy::RefToEmbed{prim_type=1}(%para192) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %334 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%39) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %335 = PrimitivePy::env_getitem{prim_type=1}(%10, %333, %334) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %336 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para192, %335, %17, %para404, %para638, %para616, %332) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %337 = Primitive::UpdateState{prim_type=1}(%332, %336) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %338 = PrimitivePy::RefToEmbed{prim_type=1}(%para191) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %339 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%40) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %340 = PrimitivePy::env_getitem{prim_type=1}(%10, %338, %339) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %341 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para191, %340, %17, %para403, %para638, %para615, %337) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %342 = Primitive::UpdateState{prim_type=1}(%337, %341) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %343 = PrimitivePy::RefToEmbed{prim_type=1}(%para190) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %344 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%41) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %345 = PrimitivePy::env_getitem{prim_type=1}(%10, %343, %344) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %346 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para190, %345, %17, %para402, %para638, %para614, %342) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %347 = Primitive::UpdateState{prim_type=1}(%342, %346) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %348 = PrimitivePy::RefToEmbed{prim_type=1}(%para189) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %349 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%42) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %350 = PrimitivePy::env_getitem{prim_type=1}(%10, %348, %349) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %351 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para189, %350, %17, %para401, %para638, %para613, %347) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %352 = Primitive::UpdateState{prim_type=1}(%347, %351) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %353 = PrimitivePy::RefToEmbed{prim_type=1}(%para188) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %354 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%43) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %355 = PrimitivePy::env_getitem{prim_type=1}(%10, %353, %354) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %356 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para188, %355, %17, %para400, %para638, %para612, %352) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %357 = Primitive::UpdateState{prim_type=1}(%352, %356) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %358 = PrimitivePy::RefToEmbed{prim_type=1}(%para187) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %359 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%44) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %360 = PrimitivePy::env_getitem{prim_type=1}(%10, %358, %359) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %361 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para187, %360, %17, %para399, %para638, %para611, %357) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %362 = Primitive::UpdateState{prim_type=1}(%357, %361) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %363 = PrimitivePy::RefToEmbed{prim_type=1}(%para186) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %364 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%45) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %365 = PrimitivePy::env_getitem{prim_type=1}(%10, %363, %364) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %366 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para186, %365, %17, %para398, %para638, %para610, %362) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %367 = Primitive::UpdateState{prim_type=1}(%362, %366) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %368 = PrimitivePy::RefToEmbed{prim_type=1}(%para185) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %369 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%46) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %370 = PrimitivePy::env_getitem{prim_type=1}(%10, %368, %369) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %371 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para185, %370, %17, %para397, %para638, %para609, %367) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %372 = Primitive::UpdateState{prim_type=1}(%367, %371) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %373 = PrimitivePy::RefToEmbed{prim_type=1}(%para184) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %374 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%47) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %375 = PrimitivePy::env_getitem{prim_type=1}(%10, %373, %374) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %376 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para184, %375, %17, %para396, %para638, %para608, %372) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %377 = Primitive::UpdateState{prim_type=1}(%372, %376) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %378 = PrimitivePy::RefToEmbed{prim_type=1}(%para183) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %379 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%48) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %380 = PrimitivePy::env_getitem{prim_type=1}(%10, %378, %379) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %381 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para183, %380, %17, %para395, %para638, %para607, %377) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %382 = Primitive::UpdateState{prim_type=1}(%377, %381) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %383 = PrimitivePy::RefToEmbed{prim_type=1}(%para182) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %384 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%49) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %385 = PrimitivePy::env_getitem{prim_type=1}(%10, %383, %384) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %386 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para182, %385, %17, %para394, %para638, %para606, %382) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %387 = Primitive::UpdateState{prim_type=1}(%382, %386) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %388 = PrimitivePy::RefToEmbed{prim_type=1}(%para181) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %389 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%50) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %390 = PrimitivePy::env_getitem{prim_type=1}(%10, %388, %389) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %391 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para181, %390, %17, %para393, %para638, %para605, %387) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %392 = Primitive::UpdateState{prim_type=1}(%387, %391) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %393 = PrimitivePy::RefToEmbed{prim_type=1}(%para180) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %394 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%51) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %395 = PrimitivePy::env_getitem{prim_type=1}(%10, %393, %394) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %396 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para180, %395, %17, %para392, %para638, %para604, %392) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %397 = Primitive::UpdateState{prim_type=1}(%392, %396) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %398 = PrimitivePy::RefToEmbed{prim_type=1}(%para179) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %399 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%52) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %400 = PrimitivePy::env_getitem{prim_type=1}(%10, %398, %399) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %401 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para179, %400, %17, %para391, %para638, %para603, %397) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %402 = Primitive::UpdateState{prim_type=1}(%397, %401) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %403 = PrimitivePy::RefToEmbed{prim_type=1}(%para178) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %404 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%53) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %405 = PrimitivePy::env_getitem{prim_type=1}(%10, %403, %404) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %406 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para178, %405, %17, %para390, %para638, %para602, %402) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %407 = Primitive::UpdateState{prim_type=1}(%402, %406) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %408 = PrimitivePy::RefToEmbed{prim_type=1}(%para177) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %409 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%54) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %410 = PrimitivePy::env_getitem{prim_type=1}(%10, %408, %409) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %411 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para177, %410, %17, %para389, %para638, %para601, %407) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %412 = Primitive::UpdateState{prim_type=1}(%407, %411) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %413 = PrimitivePy::RefToEmbed{prim_type=1}(%para176) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %414 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%55) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %415 = PrimitivePy::env_getitem{prim_type=1}(%10, %413, %414) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %416 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para176, %415, %17, %para388, %para638, %para600, %412) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %417 = Primitive::UpdateState{prim_type=1}(%412, %416) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %418 = PrimitivePy::RefToEmbed{prim_type=1}(%para175) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %419 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%56) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %420 = PrimitivePy::env_getitem{prim_type=1}(%10, %418, %419) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %421 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para175, %420, %17, %para387, %para638, %para599, %417) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %422 = Primitive::UpdateState{prim_type=1}(%417, %421) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %423 = PrimitivePy::RefToEmbed{prim_type=1}(%para174) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %424 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%57) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %425 = PrimitivePy::env_getitem{prim_type=1}(%10, %423, %424) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %426 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para174, %425, %17, %para386, %para638, %para598, %422) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %427 = Primitive::UpdateState{prim_type=1}(%422, %426) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %428 = PrimitivePy::RefToEmbed{prim_type=1}(%para173) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %429 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%58) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %430 = PrimitivePy::env_getitem{prim_type=1}(%10, %428, %429) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %431 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para173, %430, %17, %para385, %para638, %para597, %427) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %432 = Primitive::UpdateState{prim_type=1}(%427, %431) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %433 = PrimitivePy::RefToEmbed{prim_type=1}(%para172) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %434 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%59) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %435 = PrimitivePy::env_getitem{prim_type=1}(%10, %433, %434) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %436 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para172, %435, %17, %para384, %para638, %para596, %432) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %437 = Primitive::UpdateState{prim_type=1}(%432, %436) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %438 = PrimitivePy::RefToEmbed{prim_type=1}(%para171) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %439 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%60) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %440 = PrimitivePy::env_getitem{prim_type=1}(%10, %438, %439) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %441 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para171, %440, %17, %para383, %para638, %para595, %437) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %442 = Primitive::UpdateState{prim_type=1}(%437, %441) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %443 = PrimitivePy::RefToEmbed{prim_type=1}(%para170) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %444 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%61) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %445 = PrimitivePy::env_getitem{prim_type=1}(%10, %443, %444) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %446 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para170, %445, %17, %para382, %para638, %para594, %442) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %447 = Primitive::UpdateState{prim_type=1}(%442, %446) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %448 = PrimitivePy::RefToEmbed{prim_type=1}(%para169) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %449 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%62) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %450 = PrimitivePy::env_getitem{prim_type=1}(%10, %448, %449) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %451 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para169, %450, %17, %para381, %para638, %para593, %447) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %452 = Primitive::UpdateState{prim_type=1}(%447, %451) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %453 = PrimitivePy::RefToEmbed{prim_type=1}(%para168) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %454 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%63) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %455 = PrimitivePy::env_getitem{prim_type=1}(%10, %453, %454) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %456 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para168, %455, %17, %para380, %para638, %para592, %452) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %457 = Primitive::UpdateState{prim_type=1}(%452, %456) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %458 = PrimitivePy::RefToEmbed{prim_type=1}(%para167) #(Ref[Tensor(F32)][256, 512, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %459 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%64) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %460 = PrimitivePy::env_getitem{prim_type=1}(%10, %458, %459) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %461 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para167, %460, %17, %para379, %para638, %para591, %457) #(Ref[Tensor(F32)][256, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %462 = Primitive::UpdateState{prim_type=1}(%457, %461) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]388
- %463 = PrimitivePy::RefToEmbed{prim_type=1}(%para166) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %464 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%65) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %465 = PrimitivePy::env_getitem{prim_type=1}(%10, %463, %464) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %466 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para166, %465, %17, %para378, %para638, %para590, %462) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %467 = Primitive::UpdateState{prim_type=1}(%462, %466) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %468 = PrimitivePy::RefToEmbed{prim_type=1}(%para165) #(Ref[Tensor(F32)][256, 1024, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %469 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%66) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %470 = PrimitivePy::env_getitem{prim_type=1}(%10, %468, %469) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %471 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para165, %470, %17, %para377, %para638, %para589, %467) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 1024, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %472 = Primitive::UpdateState{prim_type=1}(%467, %471) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]389
- %473 = PrimitivePy::RefToEmbed{prim_type=1}(%para164) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %474 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%67) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %475 = PrimitivePy::env_getitem{prim_type=1}(%10, %473, %474) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %476 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para164, %475, %17, %para376, %para638, %para588, %472) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %477 = Primitive::UpdateState{prim_type=1}(%472, %476) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %478 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%68) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %479 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para163), %478) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %480 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para163, %479, %17, %para375, %para638, %para587, %477) #(Ref[Tensor(F32)][256, 2048, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 2048, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 2048, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %481 = Primitive::UpdateState{prim_type=1}(%477, %480) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]390
- %482 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%69) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %483 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para162), %482) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %484 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para162, %483, %17, %para374, %para638, %para586, %481) #(Ref[Tensor(F32)][1001], Undefined, Undefined, Ref[Tensor(F32)][1001], Ref[Tensor(F32)][], Ref[Tensor(F32)][1001], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %485 = Primitive::UpdateState{prim_type=1}(%481, %484) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]391
- %486 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%70) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %487 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para161), %486) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %488 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para161, %487, %17, %para373, %para638, %para585, %485) #(Ref[Tensor(F32)][1001, 2048], Undefined, Undefined, Ref[Tensor(F32)][1001, 2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][1001, 2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %489 = Primitive::UpdateState{prim_type=1}(%485, %488) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]392
- %490 = PrimitivePy::RefToEmbed{prim_type=1}(%para160) #(Ref[Tensor(F32)][2048]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %491 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%71) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %492 = PrimitivePy::env_getitem{prim_type=1}(%10, %490, %491) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %493 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para160, %492, %17, %para372, %para638, %para584, %489) #(Ref[Tensor(F32)][2048], Undefined, Undefined, Ref[Tensor(F32)][2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %494 = Primitive::UpdateState{prim_type=1}(%489, %493) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]393
- %495 = PrimitivePy::RefToEmbed{prim_type=1}(%para159) #(Ref[Tensor(F32)][2048]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %496 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%72) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %497 = PrimitivePy::env_getitem{prim_type=1}(%10, %495, %496) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %498 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para159, %497, %17, %para371, %para638, %para583, %494) #(Ref[Tensor(F32)][2048], Undefined, Undefined, Ref[Tensor(F32)][2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %499 = Primitive::UpdateState{prim_type=1}(%494, %498) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]393
- %500 = PrimitivePy::RefToEmbed{prim_type=1}(%para158) #(Ref[Tensor(F32)][2048, 512, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %501 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%73) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %502 = PrimitivePy::env_getitem{prim_type=1}(%10, %500, %501) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %503 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para158, %502, %17, %para370, %para638, %para582, %499) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][2048, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %504 = Primitive::UpdateState{prim_type=1}(%499, %503) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]394
- %505 = PrimitivePy::RefToEmbed{prim_type=1}(%para157) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %506 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%74) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %507 = PrimitivePy::env_getitem{prim_type=1}(%10, %505, %506) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %508 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para157, %507, %17, %para369, %para638, %para581, %504) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %509 = Primitive::UpdateState{prim_type=1}(%504, %508) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %510 = PrimitivePy::RefToEmbed{prim_type=1}(%para156) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %511 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%75) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %512 = PrimitivePy::env_getitem{prim_type=1}(%10, %510, %511) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %513 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para156, %512, %17, %para368, %para638, %para580, %509) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %514 = Primitive::UpdateState{prim_type=1}(%509, %513) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %515 = PrimitivePy::RefToEmbed{prim_type=1}(%para155) #(Ref[Tensor(F32)][512, 512, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %516 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%76) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %517 = PrimitivePy::env_getitem{prim_type=1}(%10, %515, %516) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %518 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para155, %517, %17, %para367, %para638, %para579, %514) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][512, 512, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 512, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %519 = Primitive::UpdateState{prim_type=1}(%514, %518) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]396
- %520 = PrimitivePy::RefToEmbed{prim_type=1}(%para154) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %521 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%77) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %522 = PrimitivePy::env_getitem{prim_type=1}(%10, %520, %521) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %523 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para154, %522, %17, %para366, %para638, %para578, %519) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %524 = Primitive::UpdateState{prim_type=1}(%519, %523) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %525 = PrimitivePy::RefToEmbed{prim_type=1}(%para153) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %526 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%78) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %527 = PrimitivePy::env_getitem{prim_type=1}(%10, %525, %526) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %528 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para153, %527, %17, %para365, %para638, %para577, %524) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %529 = Primitive::UpdateState{prim_type=1}(%524, %528) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %530 = PrimitivePy::RefToEmbed{prim_type=1}(%para152) #(Ref[Tensor(F32)][512, 2048, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %531 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%79) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %532 = PrimitivePy::env_getitem{prim_type=1}(%10, %530, %531) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %533 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para152, %532, %17, %para364, %para638, %para576, %529) #(Ref[Tensor(F32)][512, 2048, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][512, 2048, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 2048, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %534 = Primitive::UpdateState{prim_type=1}(%529, %533) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]397
- %535 = PrimitivePy::RefToEmbed{prim_type=1}(%para151) #(Ref[Tensor(F32)][2048]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %536 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%80) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %537 = PrimitivePy::env_getitem{prim_type=1}(%10, %535, %536) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %538 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para151, %537, %17, %para363, %para638, %para575, %534) #(Ref[Tensor(F32)][2048], Undefined, Undefined, Ref[Tensor(F32)][2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %539 = Primitive::UpdateState{prim_type=1}(%534, %538) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]393
- %540 = PrimitivePy::RefToEmbed{prim_type=1}(%para150) #(Ref[Tensor(F32)][2048]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %541 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%81) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %542 = PrimitivePy::env_getitem{prim_type=1}(%10, %540, %541) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %543 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para150, %542, %17, %para362, %para638, %para574, %539) #(Ref[Tensor(F32)][2048], Undefined, Undefined, Ref[Tensor(F32)][2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %544 = Primitive::UpdateState{prim_type=1}(%539, %543) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]393
- %545 = PrimitivePy::RefToEmbed{prim_type=1}(%para149) #(Ref[Tensor(F32)][2048, 512, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %546 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%82) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %547 = PrimitivePy::env_getitem{prim_type=1}(%10, %545, %546) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %548 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para149, %547, %17, %para361, %para638, %para573, %544) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][2048, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %549 = Primitive::UpdateState{prim_type=1}(%544, %548) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]394
- %550 = PrimitivePy::RefToEmbed{prim_type=1}(%para148) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %551 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%83) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %552 = PrimitivePy::env_getitem{prim_type=1}(%10, %550, %551) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %553 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para148, %552, %17, %para360, %para638, %para572, %549) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %554 = Primitive::UpdateState{prim_type=1}(%549, %553) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %555 = PrimitivePy::RefToEmbed{prim_type=1}(%para147) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %556 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%84) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %557 = PrimitivePy::env_getitem{prim_type=1}(%10, %555, %556) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %558 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para147, %557, %17, %para359, %para638, %para571, %554) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %559 = Primitive::UpdateState{prim_type=1}(%554, %558) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %560 = PrimitivePy::RefToEmbed{prim_type=1}(%para146) #(Ref[Tensor(F32)][512, 512, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %561 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%85) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %562 = PrimitivePy::env_getitem{prim_type=1}(%10, %560, %561) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %563 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para146, %562, %17, %para358, %para638, %para570, %559) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][512, 512, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 512, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %564 = Primitive::UpdateState{prim_type=1}(%559, %563) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]396
- %565 = PrimitivePy::RefToEmbed{prim_type=1}(%para145) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %566 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%86) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %567 = PrimitivePy::env_getitem{prim_type=1}(%10, %565, %566) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %568 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para145, %567, %17, %para357, %para638, %para569, %564) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %569 = Primitive::UpdateState{prim_type=1}(%564, %568) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %570 = PrimitivePy::RefToEmbed{prim_type=1}(%para144) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %571 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%87) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %572 = PrimitivePy::env_getitem{prim_type=1}(%10, %570, %571) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %573 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para144, %572, %17, %para356, %para638, %para568, %569) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %574 = Primitive::UpdateState{prim_type=1}(%569, %573) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %575 = PrimitivePy::RefToEmbed{prim_type=1}(%para143) #(Ref[Tensor(F32)][512, 2048, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %576 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%88) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %577 = PrimitivePy::env_getitem{prim_type=1}(%10, %575, %576) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %578 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para143, %577, %17, %para355, %para638, %para567, %574) #(Ref[Tensor(F32)][512, 2048, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][512, 2048, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 2048, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %579 = Primitive::UpdateState{prim_type=1}(%574, %578) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]397
- %580 = PrimitivePy::RefToEmbed{prim_type=1}(%para142) #(Ref[Tensor(F32)][2048]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %581 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%89) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %582 = PrimitivePy::env_getitem{prim_type=1}(%10, %580, %581) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %583 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para142, %582, %17, %para354, %para638, %para566, %579) #(Ref[Tensor(F32)][2048], Undefined, Undefined, Ref[Tensor(F32)][2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %584 = Primitive::UpdateState{prim_type=1}(%579, %583) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]393
- %585 = PrimitivePy::RefToEmbed{prim_type=1}(%para141) #(Ref[Tensor(F32)][2048]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %586 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%90) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %587 = PrimitivePy::env_getitem{prim_type=1}(%10, %585, %586) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %588 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para141, %587, %17, %para353, %para638, %para565, %584) #(Ref[Tensor(F32)][2048], Undefined, Undefined, Ref[Tensor(F32)][2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %589 = Primitive::UpdateState{prim_type=1}(%584, %588) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]393
- %590 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%91) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %591 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para140), %590) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %592 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para140, %591, %17, %para352, %para638, %para564, %589) #(Ref[Tensor(F32)][2048, 1024, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][2048, 1024, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %593 = Primitive::UpdateState{prim_type=1}(%589, %592) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]398
- %594 = PrimitivePy::RefToEmbed{prim_type=1}(%para139) #(Ref[Tensor(F32)][2048]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %595 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%92) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %596 = PrimitivePy::env_getitem{prim_type=1}(%10, %594, %595) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %597 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para139, %596, %17, %para351, %para638, %para563, %593) #(Ref[Tensor(F32)][2048], Undefined, Undefined, Ref[Tensor(F32)][2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %598 = Primitive::UpdateState{prim_type=1}(%593, %597) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]393
- %599 = PrimitivePy::RefToEmbed{prim_type=1}(%para138) #(Ref[Tensor(F32)][2048]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %600 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%93) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %601 = PrimitivePy::env_getitem{prim_type=1}(%10, %599, %600) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %602 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para138, %601, %17, %para350, %para638, %para562, %598) #(Ref[Tensor(F32)][2048], Undefined, Undefined, Ref[Tensor(F32)][2048], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %603 = Primitive::UpdateState{prim_type=1}(%598, %602) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]393
- %604 = PrimitivePy::RefToEmbed{prim_type=1}(%para137) #(Ref[Tensor(F32)][2048, 512, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %605 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%94) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %606 = PrimitivePy::env_getitem{prim_type=1}(%10, %604, %605) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %607 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para137, %606, %17, %para349, %para638, %para561, %603) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][2048, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %608 = Primitive::UpdateState{prim_type=1}(%603, %607) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]394
- %609 = PrimitivePy::RefToEmbed{prim_type=1}(%para136) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %610 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%95) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %611 = PrimitivePy::env_getitem{prim_type=1}(%10, %609, %610) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %612 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para136, %611, %17, %para348, %para638, %para560, %608) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %613 = Primitive::UpdateState{prim_type=1}(%608, %612) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %614 = PrimitivePy::RefToEmbed{prim_type=1}(%para135) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %615 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%96) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %616 = PrimitivePy::env_getitem{prim_type=1}(%10, %614, %615) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %617 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para135, %616, %17, %para347, %para638, %para559, %613) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %618 = Primitive::UpdateState{prim_type=1}(%613, %617) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %619 = PrimitivePy::RefToEmbed{prim_type=1}(%para134) #(Ref[Tensor(F32)][512, 512, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %620 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%97) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %621 = PrimitivePy::env_getitem{prim_type=1}(%10, %619, %620) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %622 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para134, %621, %17, %para346, %para638, %para558, %618) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][512, 512, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 512, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %623 = Primitive::UpdateState{prim_type=1}(%618, %622) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]396
- %624 = PrimitivePy::RefToEmbed{prim_type=1}(%para133) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %625 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%98) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %626 = PrimitivePy::env_getitem{prim_type=1}(%10, %624, %625) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %627 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para133, %626, %17, %para345, %para638, %para557, %623) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %628 = Primitive::UpdateState{prim_type=1}(%623, %627) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %629 = PrimitivePy::RefToEmbed{prim_type=1}(%para132) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %630 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%99) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %631 = PrimitivePy::env_getitem{prim_type=1}(%10, %629, %630) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %632 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para132, %631, %17, %para344, %para638, %para556, %628) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %633 = Primitive::UpdateState{prim_type=1}(%628, %632) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %634 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%100) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %635 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para131), %634) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %636 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para131, %635, %17, %para343, %para638, %para555, %633) #(Ref[Tensor(F32)][512, 1024, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][512, 1024, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %637 = Primitive::UpdateState{prim_type=1}(%633, %636) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]399
- %638 = PrimitivePy::RefToEmbed{prim_type=1}(%para130) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %639 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%101) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %640 = PrimitivePy::env_getitem{prim_type=1}(%10, %638, %639) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %641 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para130, %640, %17, %para342, %para638, %para554, %637) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %642 = Primitive::UpdateState{prim_type=1}(%637, %641) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %643 = PrimitivePy::RefToEmbed{prim_type=1}(%para129) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %644 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%102) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %645 = PrimitivePy::env_getitem{prim_type=1}(%10, %643, %644) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %646 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para129, %645, %17, %para341, %para638, %para553, %642) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %647 = Primitive::UpdateState{prim_type=1}(%642, %646) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %648 = PrimitivePy::RefToEmbed{prim_type=1}(%para128) #(Ref[Tensor(F32)][1024, 256, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %649 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%103) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %650 = PrimitivePy::env_getitem{prim_type=1}(%10, %648, %649) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %651 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para128, %650, %17, %para340, %para638, %para552, %647) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][1024, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %652 = Primitive::UpdateState{prim_type=1}(%647, %651) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]401
- %653 = PrimitivePy::RefToEmbed{prim_type=1}(%para127) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %654 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%104) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %655 = PrimitivePy::env_getitem{prim_type=1}(%10, %653, %654) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %656 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para127, %655, %17, %para339, %para638, %para551, %652) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %657 = Primitive::UpdateState{prim_type=1}(%652, %656) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %658 = PrimitivePy::RefToEmbed{prim_type=1}(%para126) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %659 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%105) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %660 = PrimitivePy::env_getitem{prim_type=1}(%10, %658, %659) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %661 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para126, %660, %17, %para338, %para638, %para550, %657) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %662 = Primitive::UpdateState{prim_type=1}(%657, %661) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %663 = PrimitivePy::RefToEmbed{prim_type=1}(%para125) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %664 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%106) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %665 = PrimitivePy::env_getitem{prim_type=1}(%10, %663, %664) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %666 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para125, %665, %17, %para337, %para638, %para549, %662) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %667 = Primitive::UpdateState{prim_type=1}(%662, %666) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %668 = PrimitivePy::RefToEmbed{prim_type=1}(%para124) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %669 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%107) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %670 = PrimitivePy::env_getitem{prim_type=1}(%10, %668, %669) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %671 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para124, %670, %17, %para336, %para638, %para548, %667) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %672 = Primitive::UpdateState{prim_type=1}(%667, %671) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %673 = PrimitivePy::RefToEmbed{prim_type=1}(%para123) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %674 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%108) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %675 = PrimitivePy::env_getitem{prim_type=1}(%10, %673, %674) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %676 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para123, %675, %17, %para335, %para638, %para547, %672) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %677 = Primitive::UpdateState{prim_type=1}(%672, %676) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %678 = PrimitivePy::RefToEmbed{prim_type=1}(%para122) #(Ref[Tensor(F32)][256, 1024, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %679 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%109) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %680 = PrimitivePy::env_getitem{prim_type=1}(%10, %678, %679) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %681 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para122, %680, %17, %para334, %para638, %para546, %677) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 1024, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %682 = Primitive::UpdateState{prim_type=1}(%677, %681) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]389
- %683 = PrimitivePy::RefToEmbed{prim_type=1}(%para121) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %684 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%110) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %685 = PrimitivePy::env_getitem{prim_type=1}(%10, %683, %684) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %686 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para121, %685, %17, %para333, %para638, %para545, %682) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %687 = Primitive::UpdateState{prim_type=1}(%682, %686) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %688 = PrimitivePy::RefToEmbed{prim_type=1}(%para120) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %689 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%111) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %690 = PrimitivePy::env_getitem{prim_type=1}(%10, %688, %689) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %691 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para120, %690, %17, %para332, %para638, %para544, %687) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %692 = Primitive::UpdateState{prim_type=1}(%687, %691) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %693 = PrimitivePy::RefToEmbed{prim_type=1}(%para119) #(Ref[Tensor(F32)][1024, 256, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %694 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%112) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %695 = PrimitivePy::env_getitem{prim_type=1}(%10, %693, %694) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %696 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para119, %695, %17, %para331, %para638, %para543, %692) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][1024, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %697 = Primitive::UpdateState{prim_type=1}(%692, %696) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]401
- %698 = PrimitivePy::RefToEmbed{prim_type=1}(%para118) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %699 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%113) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %700 = PrimitivePy::env_getitem{prim_type=1}(%10, %698, %699) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %701 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para118, %700, %17, %para330, %para638, %para542, %697) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %702 = Primitive::UpdateState{prim_type=1}(%697, %701) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %703 = PrimitivePy::RefToEmbed{prim_type=1}(%para117) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %704 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%114) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %705 = PrimitivePy::env_getitem{prim_type=1}(%10, %703, %704) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %706 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para117, %705, %17, %para329, %para638, %para541, %702) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %707 = Primitive::UpdateState{prim_type=1}(%702, %706) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %708 = PrimitivePy::RefToEmbed{prim_type=1}(%para116) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %709 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%115) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %710 = PrimitivePy::env_getitem{prim_type=1}(%10, %708, %709) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %711 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para116, %710, %17, %para328, %para638, %para540, %707) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %712 = Primitive::UpdateState{prim_type=1}(%707, %711) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %713 = PrimitivePy::RefToEmbed{prim_type=1}(%para115) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %714 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%116) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %715 = PrimitivePy::env_getitem{prim_type=1}(%10, %713, %714) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %716 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para115, %715, %17, %para327, %para638, %para539, %712) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %717 = Primitive::UpdateState{prim_type=1}(%712, %716) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %718 = PrimitivePy::RefToEmbed{prim_type=1}(%para114) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %719 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%117) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %720 = PrimitivePy::env_getitem{prim_type=1}(%10, %718, %719) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %721 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para114, %720, %17, %para326, %para638, %para538, %717) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %722 = Primitive::UpdateState{prim_type=1}(%717, %721) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %723 = PrimitivePy::RefToEmbed{prim_type=1}(%para113) #(Ref[Tensor(F32)][256, 1024, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %724 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%118) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %725 = PrimitivePy::env_getitem{prim_type=1}(%10, %723, %724) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %726 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para113, %725, %17, %para325, %para638, %para537, %722) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 1024, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %727 = Primitive::UpdateState{prim_type=1}(%722, %726) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]389
- %728 = PrimitivePy::RefToEmbed{prim_type=1}(%para112) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %729 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%119) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %730 = PrimitivePy::env_getitem{prim_type=1}(%10, %728, %729) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %731 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para112, %730, %17, %para324, %para638, %para536, %727) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %732 = Primitive::UpdateState{prim_type=1}(%727, %731) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %733 = PrimitivePy::RefToEmbed{prim_type=1}(%para111) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %734 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%120) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %735 = PrimitivePy::env_getitem{prim_type=1}(%10, %733, %734) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %736 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para111, %735, %17, %para323, %para638, %para535, %732) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %737 = Primitive::UpdateState{prim_type=1}(%732, %736) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %738 = PrimitivePy::RefToEmbed{prim_type=1}(%para110) #(Ref[Tensor(F32)][1024, 256, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %739 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%121) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %740 = PrimitivePy::env_getitem{prim_type=1}(%10, %738, %739) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %741 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para110, %740, %17, %para322, %para638, %para534, %737) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][1024, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %742 = Primitive::UpdateState{prim_type=1}(%737, %741) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]401
- %743 = PrimitivePy::RefToEmbed{prim_type=1}(%para109) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %744 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%122) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %745 = PrimitivePy::env_getitem{prim_type=1}(%10, %743, %744) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %746 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para109, %745, %17, %para321, %para638, %para533, %742) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %747 = Primitive::UpdateState{prim_type=1}(%742, %746) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %748 = PrimitivePy::RefToEmbed{prim_type=1}(%para108) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %749 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%123) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %750 = PrimitivePy::env_getitem{prim_type=1}(%10, %748, %749) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %751 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para108, %750, %17, %para320, %para638, %para532, %747) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %752 = Primitive::UpdateState{prim_type=1}(%747, %751) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %753 = PrimitivePy::RefToEmbed{prim_type=1}(%para107) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %754 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%124) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %755 = PrimitivePy::env_getitem{prim_type=1}(%10, %753, %754) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %756 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para107, %755, %17, %para319, %para638, %para531, %752) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %757 = Primitive::UpdateState{prim_type=1}(%752, %756) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %758 = PrimitivePy::RefToEmbed{prim_type=1}(%para106) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %759 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%125) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %760 = PrimitivePy::env_getitem{prim_type=1}(%10, %758, %759) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %761 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para106, %760, %17, %para318, %para638, %para530, %757) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %762 = Primitive::UpdateState{prim_type=1}(%757, %761) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %763 = PrimitivePy::RefToEmbed{prim_type=1}(%para105) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %764 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%126) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %765 = PrimitivePy::env_getitem{prim_type=1}(%10, %763, %764) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %766 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para105, %765, %17, %para317, %para638, %para529, %762) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %767 = Primitive::UpdateState{prim_type=1}(%762, %766) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %768 = PrimitivePy::RefToEmbed{prim_type=1}(%para104) #(Ref[Tensor(F32)][256, 1024, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %769 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%127) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %770 = PrimitivePy::env_getitem{prim_type=1}(%10, %768, %769) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %771 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para104, %770, %17, %para316, %para638, %para528, %767) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 1024, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %772 = Primitive::UpdateState{prim_type=1}(%767, %771) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]389
- %773 = PrimitivePy::RefToEmbed{prim_type=1}(%para103) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %774 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%128) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %775 = PrimitivePy::env_getitem{prim_type=1}(%10, %773, %774) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %776 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para103, %775, %17, %para315, %para638, %para527, %772) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %777 = Primitive::UpdateState{prim_type=1}(%772, %776) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %778 = PrimitivePy::RefToEmbed{prim_type=1}(%para102) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %779 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%129) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %780 = PrimitivePy::env_getitem{prim_type=1}(%10, %778, %779) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %781 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para102, %780, %17, %para314, %para638, %para526, %777) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %782 = Primitive::UpdateState{prim_type=1}(%777, %781) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %783 = PrimitivePy::RefToEmbed{prim_type=1}(%para101) #(Ref[Tensor(F32)][1024, 256, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %784 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%130) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %785 = PrimitivePy::env_getitem{prim_type=1}(%10, %783, %784) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %786 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para101, %785, %17, %para313, %para638, %para525, %782) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][1024, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %787 = Primitive::UpdateState{prim_type=1}(%782, %786) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]401
- %788 = PrimitivePy::RefToEmbed{prim_type=1}(%para100) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %789 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%131) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %790 = PrimitivePy::env_getitem{prim_type=1}(%10, %788, %789) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %791 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para100, %790, %17, %para312, %para638, %para524, %787) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %792 = Primitive::UpdateState{prim_type=1}(%787, %791) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %793 = PrimitivePy::RefToEmbed{prim_type=1}(%para99) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %794 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%132) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %795 = PrimitivePy::env_getitem{prim_type=1}(%10, %793, %794) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %796 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para99, %795, %17, %para311, %para638, %para523, %792) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %797 = Primitive::UpdateState{prim_type=1}(%792, %796) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %798 = PrimitivePy::RefToEmbed{prim_type=1}(%para98) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %799 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%133) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %800 = PrimitivePy::env_getitem{prim_type=1}(%10, %798, %799) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %801 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para98, %800, %17, %para310, %para638, %para522, %797) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %802 = Primitive::UpdateState{prim_type=1}(%797, %801) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %803 = PrimitivePy::RefToEmbed{prim_type=1}(%para97) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %804 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%134) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %805 = PrimitivePy::env_getitem{prim_type=1}(%10, %803, %804) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %806 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para97, %805, %17, %para309, %para638, %para521, %802) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %807 = Primitive::UpdateState{prim_type=1}(%802, %806) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %808 = PrimitivePy::RefToEmbed{prim_type=1}(%para96) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %809 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%135) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %810 = PrimitivePy::env_getitem{prim_type=1}(%10, %808, %809) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %811 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para96, %810, %17, %para308, %para638, %para520, %807) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %812 = Primitive::UpdateState{prim_type=1}(%807, %811) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %813 = PrimitivePy::RefToEmbed{prim_type=1}(%para95) #(Ref[Tensor(F32)][256, 1024, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %814 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%136) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %815 = PrimitivePy::env_getitem{prim_type=1}(%10, %813, %814) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %816 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para95, %815, %17, %para307, %para638, %para519, %812) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 1024, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %817 = Primitive::UpdateState{prim_type=1}(%812, %816) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]389
- %818 = PrimitivePy::RefToEmbed{prim_type=1}(%para94) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %819 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%137) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %820 = PrimitivePy::env_getitem{prim_type=1}(%10, %818, %819) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %821 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para94, %820, %17, %para306, %para638, %para518, %817) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %822 = Primitive::UpdateState{prim_type=1}(%817, %821) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %823 = PrimitivePy::RefToEmbed{prim_type=1}(%para93) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %824 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%138) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %825 = PrimitivePy::env_getitem{prim_type=1}(%10, %823, %824) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %826 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para93, %825, %17, %para305, %para638, %para517, %822) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %827 = Primitive::UpdateState{prim_type=1}(%822, %826) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %828 = PrimitivePy::RefToEmbed{prim_type=1}(%para92) #(Ref[Tensor(F32)][1024, 256, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %829 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%139) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %830 = PrimitivePy::env_getitem{prim_type=1}(%10, %828, %829) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %831 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para92, %830, %17, %para304, %para638, %para516, %827) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][1024, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %832 = Primitive::UpdateState{prim_type=1}(%827, %831) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]401
- %833 = PrimitivePy::RefToEmbed{prim_type=1}(%para91) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %834 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%140) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %835 = PrimitivePy::env_getitem{prim_type=1}(%10, %833, %834) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %836 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para91, %835, %17, %para303, %para638, %para515, %832) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %837 = Primitive::UpdateState{prim_type=1}(%832, %836) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %838 = PrimitivePy::RefToEmbed{prim_type=1}(%para90) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %839 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%141) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %840 = PrimitivePy::env_getitem{prim_type=1}(%10, %838, %839) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %841 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para90, %840, %17, %para302, %para638, %para514, %837) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %842 = Primitive::UpdateState{prim_type=1}(%837, %841) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %843 = PrimitivePy::RefToEmbed{prim_type=1}(%para89) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %844 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%142) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %845 = PrimitivePy::env_getitem{prim_type=1}(%10, %843, %844) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %846 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para89, %845, %17, %para301, %para638, %para513, %842) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %847 = Primitive::UpdateState{prim_type=1}(%842, %846) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %848 = PrimitivePy::RefToEmbed{prim_type=1}(%para88) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %849 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%143) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %850 = PrimitivePy::env_getitem{prim_type=1}(%10, %848, %849) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %851 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para88, %850, %17, %para300, %para638, %para512, %847) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %852 = Primitive::UpdateState{prim_type=1}(%847, %851) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %853 = PrimitivePy::RefToEmbed{prim_type=1}(%para87) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %854 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%144) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %855 = PrimitivePy::env_getitem{prim_type=1}(%10, %853, %854) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %856 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para87, %855, %17, %para299, %para638, %para511, %852) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %857 = Primitive::UpdateState{prim_type=1}(%852, %856) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %858 = PrimitivePy::RefToEmbed{prim_type=1}(%para86) #(Ref[Tensor(F32)][256, 1024, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %859 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%145) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %860 = PrimitivePy::env_getitem{prim_type=1}(%10, %858, %859) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %861 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para86, %860, %17, %para298, %para638, %para510, %857) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 1024, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %862 = Primitive::UpdateState{prim_type=1}(%857, %861) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]389
- %863 = PrimitivePy::RefToEmbed{prim_type=1}(%para85) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %864 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%146) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %865 = PrimitivePy::env_getitem{prim_type=1}(%10, %863, %864) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %866 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para85, %865, %17, %para297, %para638, %para509, %862) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %867 = Primitive::UpdateState{prim_type=1}(%862, %866) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %868 = PrimitivePy::RefToEmbed{prim_type=1}(%para84) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %869 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%147) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %870 = PrimitivePy::env_getitem{prim_type=1}(%10, %868, %869) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %871 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para84, %870, %17, %para296, %para638, %para508, %867) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %872 = Primitive::UpdateState{prim_type=1}(%867, %871) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %873 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%148) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %874 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para83), %873) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %875 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para83, %874, %17, %para295, %para638, %para507, %872) #(Ref[Tensor(F32)][1024, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][1024, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %876 = Primitive::UpdateState{prim_type=1}(%872, %875) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]402
- %877 = PrimitivePy::RefToEmbed{prim_type=1}(%para82) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %878 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%149) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %879 = PrimitivePy::env_getitem{prim_type=1}(%10, %877, %878) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %880 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para82, %879, %17, %para294, %para638, %para506, %876) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %881 = Primitive::UpdateState{prim_type=1}(%876, %880) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %882 = PrimitivePy::RefToEmbed{prim_type=1}(%para81) #(Ref[Tensor(F32)][1024]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %883 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%150) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %884 = PrimitivePy::env_getitem{prim_type=1}(%10, %882, %883) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %885 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para81, %884, %17, %para293, %para638, %para505, %881) #(Ref[Tensor(F32)][1024], Undefined, Undefined, Ref[Tensor(F32)][1024], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %886 = Primitive::UpdateState{prim_type=1}(%881, %885) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]400
- %887 = PrimitivePy::RefToEmbed{prim_type=1}(%para80) #(Ref[Tensor(F32)][1024, 256, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %888 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%151) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %889 = PrimitivePy::env_getitem{prim_type=1}(%10, %887, %888) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %890 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para80, %889, %17, %para292, %para638, %para504, %886) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][1024, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %891 = Primitive::UpdateState{prim_type=1}(%886, %890) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]401
- %892 = PrimitivePy::RefToEmbed{prim_type=1}(%para79) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %893 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%152) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %894 = PrimitivePy::env_getitem{prim_type=1}(%10, %892, %893) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %895 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para79, %894, %17, %para291, %para638, %para503, %891) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %896 = Primitive::UpdateState{prim_type=1}(%891, %895) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %897 = PrimitivePy::RefToEmbed{prim_type=1}(%para78) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %898 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%153) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %899 = PrimitivePy::env_getitem{prim_type=1}(%10, %897, %898) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %900 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para78, %899, %17, %para290, %para638, %para502, %896) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %901 = Primitive::UpdateState{prim_type=1}(%896, %900) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %902 = PrimitivePy::RefToEmbed{prim_type=1}(%para77) #(Ref[Tensor(F32)][256, 256, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %903 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%154) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %904 = PrimitivePy::env_getitem{prim_type=1}(%10, %902, %903) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %905 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para77, %904, %17, %para289, %para638, %para501, %901) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][256, 256, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 256, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %906 = Primitive::UpdateState{prim_type=1}(%901, %905) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]387
- %907 = PrimitivePy::RefToEmbed{prim_type=1}(%para76) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %908 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%155) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %909 = PrimitivePy::env_getitem{prim_type=1}(%10, %907, %908) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %910 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para76, %909, %17, %para288, %para638, %para500, %906) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %911 = Primitive::UpdateState{prim_type=1}(%906, %910) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %912 = PrimitivePy::RefToEmbed{prim_type=1}(%para75) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %913 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%156) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %914 = PrimitivePy::env_getitem{prim_type=1}(%10, %912, %913) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %915 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para75, %914, %17, %para287, %para638, %para499, %911) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %916 = Primitive::UpdateState{prim_type=1}(%911, %915) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %917 = PrimitivePy::RefToEmbed{prim_type=1}(%para74) #(Ref[Tensor(F32)][256, 512, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %918 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%157) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %919 = PrimitivePy::env_getitem{prim_type=1}(%10, %917, %918) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %920 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para74, %919, %17, %para286, %para638, %para498, %916) #(Ref[Tensor(F32)][256, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %921 = Primitive::UpdateState{prim_type=1}(%916, %920) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]388
- %922 = PrimitivePy::RefToEmbed{prim_type=1}(%para73) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %923 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%158) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %924 = PrimitivePy::env_getitem{prim_type=1}(%10, %922, %923) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %925 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para73, %924, %17, %para285, %para638, %para497, %921) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %926 = Primitive::UpdateState{prim_type=1}(%921, %925) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %927 = PrimitivePy::RefToEmbed{prim_type=1}(%para72) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %928 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%159) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %929 = PrimitivePy::env_getitem{prim_type=1}(%10, %927, %928) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %930 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para72, %929, %17, %para284, %para638, %para496, %926) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %931 = Primitive::UpdateState{prim_type=1}(%926, %930) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %932 = PrimitivePy::RefToEmbed{prim_type=1}(%para71) #(Ref[Tensor(F32)][512, 128, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %933 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%160) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %934 = PrimitivePy::env_getitem{prim_type=1}(%10, %932, %933) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %935 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para71, %934, %17, %para283, %para638, %para495, %931) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][512, 128, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 128, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %936 = Primitive::UpdateState{prim_type=1}(%931, %935) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]403
- %937 = PrimitivePy::RefToEmbed{prim_type=1}(%para70) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %938 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%161) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %939 = PrimitivePy::env_getitem{prim_type=1}(%10, %937, %938) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %940 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para70, %939, %17, %para282, %para638, %para494, %936) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %941 = Primitive::UpdateState{prim_type=1}(%936, %940) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %942 = PrimitivePy::RefToEmbed{prim_type=1}(%para69) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %943 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%162) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %944 = PrimitivePy::env_getitem{prim_type=1}(%10, %942, %943) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %945 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para69, %944, %17, %para281, %para638, %para493, %941) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %946 = Primitive::UpdateState{prim_type=1}(%941, %945) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %947 = PrimitivePy::RefToEmbed{prim_type=1}(%para68) #(Ref[Tensor(F32)][128, 128, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %948 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%163) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %949 = PrimitivePy::env_getitem{prim_type=1}(%10, %947, %948) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %950 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para68, %949, %17, %para280, %para638, %para492, %946) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][128, 128, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][128, 128, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %951 = Primitive::UpdateState{prim_type=1}(%946, %950) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]405
- %952 = PrimitivePy::RefToEmbed{prim_type=1}(%para67) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %953 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%164) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %954 = PrimitivePy::env_getitem{prim_type=1}(%10, %952, %953) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %955 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para67, %954, %17, %para279, %para638, %para491, %951) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %956 = Primitive::UpdateState{prim_type=1}(%951, %955) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %957 = PrimitivePy::RefToEmbed{prim_type=1}(%para66) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %958 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%165) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %959 = PrimitivePy::env_getitem{prim_type=1}(%10, %957, %958) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %960 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para66, %959, %17, %para278, %para638, %para490, %956) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %961 = Primitive::UpdateState{prim_type=1}(%956, %960) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %962 = PrimitivePy::RefToEmbed{prim_type=1}(%para65) #(Ref[Tensor(F32)][128, 512, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %963 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%166) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %964 = PrimitivePy::env_getitem{prim_type=1}(%10, %962, %963) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %965 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para65, %964, %17, %para277, %para638, %para489, %961) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][128, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][128, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %966 = Primitive::UpdateState{prim_type=1}(%961, %965) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]406
- %967 = PrimitivePy::RefToEmbed{prim_type=1}(%para64) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %968 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%167) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %969 = PrimitivePy::env_getitem{prim_type=1}(%10, %967, %968) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %970 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para64, %969, %17, %para276, %para638, %para488, %966) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %971 = Primitive::UpdateState{prim_type=1}(%966, %970) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %972 = PrimitivePy::RefToEmbed{prim_type=1}(%para63) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %973 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%168) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %974 = PrimitivePy::env_getitem{prim_type=1}(%10, %972, %973) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %975 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para63, %974, %17, %para275, %para638, %para487, %971) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %976 = Primitive::UpdateState{prim_type=1}(%971, %975) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %977 = PrimitivePy::RefToEmbed{prim_type=1}(%para62) #(Ref[Tensor(F32)][512, 128, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %978 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%169) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %979 = PrimitivePy::env_getitem{prim_type=1}(%10, %977, %978) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %980 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para62, %979, %17, %para274, %para638, %para486, %976) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][512, 128, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 128, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %981 = Primitive::UpdateState{prim_type=1}(%976, %980) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]403
- %982 = PrimitivePy::RefToEmbed{prim_type=1}(%para61) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %983 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%170) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %984 = PrimitivePy::env_getitem{prim_type=1}(%10, %982, %983) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %985 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para61, %984, %17, %para273, %para638, %para485, %981) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %986 = Primitive::UpdateState{prim_type=1}(%981, %985) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %987 = PrimitivePy::RefToEmbed{prim_type=1}(%para60) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %988 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%171) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %989 = PrimitivePy::env_getitem{prim_type=1}(%10, %987, %988) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %990 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para60, %989, %17, %para272, %para638, %para484, %986) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %991 = Primitive::UpdateState{prim_type=1}(%986, %990) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %992 = PrimitivePy::RefToEmbed{prim_type=1}(%para59) #(Ref[Tensor(F32)][128, 128, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %993 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%172) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %994 = PrimitivePy::env_getitem{prim_type=1}(%10, %992, %993) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %995 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para59, %994, %17, %para271, %para638, %para483, %991) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][128, 128, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][128, 128, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %996 = Primitive::UpdateState{prim_type=1}(%991, %995) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]405
- %997 = PrimitivePy::RefToEmbed{prim_type=1}(%para58) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %998 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%173) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %999 = PrimitivePy::env_getitem{prim_type=1}(%10, %997, %998) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1000 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para58, %999, %17, %para270, %para638, %para482, %996) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1001 = Primitive::UpdateState{prim_type=1}(%996, %1000) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1002 = PrimitivePy::RefToEmbed{prim_type=1}(%para57) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1003 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%174) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1004 = PrimitivePy::env_getitem{prim_type=1}(%10, %1002, %1003) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1005 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para57, %1004, %17, %para269, %para638, %para481, %1001) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1006 = Primitive::UpdateState{prim_type=1}(%1001, %1005) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1007 = PrimitivePy::RefToEmbed{prim_type=1}(%para56) #(Ref[Tensor(F32)][128, 512, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1008 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%175) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1009 = PrimitivePy::env_getitem{prim_type=1}(%10, %1007, %1008) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1010 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para56, %1009, %17, %para268, %para638, %para480, %1006) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][128, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][128, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1011 = Primitive::UpdateState{prim_type=1}(%1006, %1010) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]406
- %1012 = PrimitivePy::RefToEmbed{prim_type=1}(%para55) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1013 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%176) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1014 = PrimitivePy::env_getitem{prim_type=1}(%10, %1012, %1013) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1015 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para55, %1014, %17, %para267, %para638, %para479, %1011) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1016 = Primitive::UpdateState{prim_type=1}(%1011, %1015) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %1017 = PrimitivePy::RefToEmbed{prim_type=1}(%para54) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1018 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%177) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1019 = PrimitivePy::env_getitem{prim_type=1}(%10, %1017, %1018) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1020 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para54, %1019, %17, %para266, %para638, %para478, %1016) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1021 = Primitive::UpdateState{prim_type=1}(%1016, %1020) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %1022 = PrimitivePy::RefToEmbed{prim_type=1}(%para53) #(Ref[Tensor(F32)][512, 128, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1023 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%178) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1024 = PrimitivePy::env_getitem{prim_type=1}(%10, %1022, %1023) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1025 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para53, %1024, %17, %para265, %para638, %para477, %1021) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][512, 128, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 128, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1026 = Primitive::UpdateState{prim_type=1}(%1021, %1025) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]403
- %1027 = PrimitivePy::RefToEmbed{prim_type=1}(%para52) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1028 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%179) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1029 = PrimitivePy::env_getitem{prim_type=1}(%10, %1027, %1028) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1030 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para52, %1029, %17, %para264, %para638, %para476, %1026) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1031 = Primitive::UpdateState{prim_type=1}(%1026, %1030) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1032 = PrimitivePy::RefToEmbed{prim_type=1}(%para51) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1033 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%180) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1034 = PrimitivePy::env_getitem{prim_type=1}(%10, %1032, %1033) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1035 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para51, %1034, %17, %para263, %para638, %para475, %1031) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1036 = Primitive::UpdateState{prim_type=1}(%1031, %1035) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1037 = PrimitivePy::RefToEmbed{prim_type=1}(%para50) #(Ref[Tensor(F32)][128, 128, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1038 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%181) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1039 = PrimitivePy::env_getitem{prim_type=1}(%10, %1037, %1038) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1040 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para50, %1039, %17, %para262, %para638, %para474, %1036) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][128, 128, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][128, 128, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1041 = Primitive::UpdateState{prim_type=1}(%1036, %1040) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]405
- %1042 = PrimitivePy::RefToEmbed{prim_type=1}(%para49) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1043 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%182) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1044 = PrimitivePy::env_getitem{prim_type=1}(%10, %1042, %1043) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1045 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para49, %1044, %17, %para261, %para638, %para473, %1041) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1046 = Primitive::UpdateState{prim_type=1}(%1041, %1045) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1047 = PrimitivePy::RefToEmbed{prim_type=1}(%para48) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1048 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%183) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1049 = PrimitivePy::env_getitem{prim_type=1}(%10, %1047, %1048) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1050 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para48, %1049, %17, %para260, %para638, %para472, %1046) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1051 = Primitive::UpdateState{prim_type=1}(%1046, %1050) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1052 = PrimitivePy::RefToEmbed{prim_type=1}(%para47) #(Ref[Tensor(F32)][128, 512, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1053 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%184) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1054 = PrimitivePy::env_getitem{prim_type=1}(%10, %1052, %1053) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1055 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para47, %1054, %17, %para259, %para638, %para471, %1051) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][128, 512, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][128, 512, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1056 = Primitive::UpdateState{prim_type=1}(%1051, %1055) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]406
- %1057 = PrimitivePy::RefToEmbed{prim_type=1}(%para46) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1058 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%185) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1059 = PrimitivePy::env_getitem{prim_type=1}(%10, %1057, %1058) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1060 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para46, %1059, %17, %para258, %para638, %para470, %1056) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1061 = Primitive::UpdateState{prim_type=1}(%1056, %1060) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %1062 = PrimitivePy::RefToEmbed{prim_type=1}(%para45) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1063 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%186) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1064 = PrimitivePy::env_getitem{prim_type=1}(%10, %1062, %1063) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1065 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para45, %1064, %17, %para257, %para638, %para469, %1061) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1066 = Primitive::UpdateState{prim_type=1}(%1061, %1065) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %1067 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%187) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1068 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para44), %1067) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1069 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para44, %1068, %17, %para256, %para638, %para468, %1066) #(Ref[Tensor(F32)][512, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][512, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1070 = Primitive::UpdateState{prim_type=1}(%1066, %1069) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]407
- %1071 = PrimitivePy::RefToEmbed{prim_type=1}(%para43) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1072 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%188) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1073 = PrimitivePy::env_getitem{prim_type=1}(%10, %1071, %1072) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1074 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para43, %1073, %17, %para255, %para638, %para467, %1070) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1075 = Primitive::UpdateState{prim_type=1}(%1070, %1074) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %1076 = PrimitivePy::RefToEmbed{prim_type=1}(%para42) #(Ref[Tensor(F32)][512]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1077 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%189) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1078 = PrimitivePy::env_getitem{prim_type=1}(%10, %1076, %1077) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1079 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para42, %1078, %17, %para254, %para638, %para466, %1075) #(Ref[Tensor(F32)][512], Undefined, Undefined, Ref[Tensor(F32)][512], Ref[Tensor(F32)][], Ref[Tensor(F32)][512], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1080 = Primitive::UpdateState{prim_type=1}(%1075, %1079) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]395
- %1081 = PrimitivePy::RefToEmbed{prim_type=1}(%para41) #(Ref[Tensor(F32)][512, 128, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1082 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%190) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1083 = PrimitivePy::env_getitem{prim_type=1}(%10, %1081, %1082) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1084 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para41, %1083, %17, %para253, %para638, %para465, %1080) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][512, 128, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][512, 128, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1085 = Primitive::UpdateState{prim_type=1}(%1080, %1084) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]403
- %1086 = PrimitivePy::RefToEmbed{prim_type=1}(%para40) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1087 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%191) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1088 = PrimitivePy::env_getitem{prim_type=1}(%10, %1086, %1087) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1089 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para40, %1088, %17, %para252, %para638, %para464, %1085) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1090 = Primitive::UpdateState{prim_type=1}(%1085, %1089) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1091 = PrimitivePy::RefToEmbed{prim_type=1}(%para39) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1092 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%192) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1093 = PrimitivePy::env_getitem{prim_type=1}(%10, %1091, %1092) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1094 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para39, %1093, %17, %para251, %para638, %para463, %1090) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1095 = Primitive::UpdateState{prim_type=1}(%1090, %1094) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1096 = PrimitivePy::RefToEmbed{prim_type=1}(%para38) #(Ref[Tensor(F32)][128, 128, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1097 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%193) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1098 = PrimitivePy::env_getitem{prim_type=1}(%10, %1096, %1097) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1099 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para38, %1098, %17, %para250, %para638, %para462, %1095) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][128, 128, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][128, 128, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1100 = Primitive::UpdateState{prim_type=1}(%1095, %1099) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]405
- %1101 = PrimitivePy::RefToEmbed{prim_type=1}(%para37) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1102 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%194) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1103 = PrimitivePy::env_getitem{prim_type=1}(%10, %1101, %1102) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1104 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para37, %1103, %17, %para249, %para638, %para461, %1100) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1105 = Primitive::UpdateState{prim_type=1}(%1100, %1104) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1106 = PrimitivePy::RefToEmbed{prim_type=1}(%para36) #(Ref[Tensor(F32)][128]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1107 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%195) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1108 = PrimitivePy::env_getitem{prim_type=1}(%10, %1106, %1107) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1109 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para36, %1108, %17, %para248, %para638, %para460, %1105) #(Ref[Tensor(F32)][128], Undefined, Undefined, Ref[Tensor(F32)][128], Ref[Tensor(F32)][], Ref[Tensor(F32)][128], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1110 = Primitive::UpdateState{prim_type=1}(%1105, %1109) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]404
- %1111 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%196) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1112 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para35), %1111) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1113 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para35, %1112, %17, %para247, %para638, %para459, %1110) #(Ref[Tensor(F32)][128, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][128, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][128, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1114 = Primitive::UpdateState{prim_type=1}(%1110, %1113) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]408
- %1115 = PrimitivePy::RefToEmbed{prim_type=1}(%para34) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1116 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%197) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1117 = PrimitivePy::env_getitem{prim_type=1}(%10, %1115, %1116) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1118 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para34, %1117, %17, %para246, %para638, %para458, %1114) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1119 = Primitive::UpdateState{prim_type=1}(%1114, %1118) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %1120 = PrimitivePy::RefToEmbed{prim_type=1}(%para33) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1121 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%198) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1122 = PrimitivePy::env_getitem{prim_type=1}(%10, %1120, %1121) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1123 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para33, %1122, %17, %para245, %para638, %para457, %1119) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1124 = Primitive::UpdateState{prim_type=1}(%1119, %1123) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %1125 = PrimitivePy::RefToEmbed{prim_type=1}(%para32) #(Ref[Tensor(F32)][256, 64, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1126 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%199) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1127 = PrimitivePy::env_getitem{prim_type=1}(%10, %1125, %1126) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1128 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para32, %1127, %17, %para244, %para638, %para456, %1124) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 64, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1129 = Primitive::UpdateState{prim_type=1}(%1124, %1128) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]409
- %1130 = PrimitivePy::RefToEmbed{prim_type=1}(%para31) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1131 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%200) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1132 = PrimitivePy::env_getitem{prim_type=1}(%10, %1130, %1131) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1133 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para31, %1132, %17, %para243, %para638, %para455, %1129) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1134 = Primitive::UpdateState{prim_type=1}(%1129, %1133) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1135 = PrimitivePy::RefToEmbed{prim_type=1}(%para30) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1136 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%201) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1137 = PrimitivePy::env_getitem{prim_type=1}(%10, %1135, %1136) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1138 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para30, %1137, %17, %para242, %para638, %para454, %1134) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1139 = Primitive::UpdateState{prim_type=1}(%1134, %1138) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1140 = PrimitivePy::RefToEmbed{prim_type=1}(%para29) #(Ref[Tensor(F32)][64, 64, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1141 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%202) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1142 = PrimitivePy::env_getitem{prim_type=1}(%10, %1140, %1141) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1143 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para29, %1142, %17, %para241, %para638, %para453, %1139) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][64, 64, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][64, 64, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1144 = Primitive::UpdateState{prim_type=1}(%1139, %1143) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]411
- %1145 = PrimitivePy::RefToEmbed{prim_type=1}(%para28) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1146 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%203) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1147 = PrimitivePy::env_getitem{prim_type=1}(%10, %1145, %1146) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1148 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para28, %1147, %17, %para240, %para638, %para452, %1144) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1149 = Primitive::UpdateState{prim_type=1}(%1144, %1148) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1150 = PrimitivePy::RefToEmbed{prim_type=1}(%para27) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1151 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%204) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1152 = PrimitivePy::env_getitem{prim_type=1}(%10, %1150, %1151) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1153 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para27, %1152, %17, %para239, %para638, %para451, %1149) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1154 = Primitive::UpdateState{prim_type=1}(%1149, %1153) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1155 = PrimitivePy::RefToEmbed{prim_type=1}(%para26) #(Ref[Tensor(F32)][64, 256, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1156 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%205) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1157 = PrimitivePy::env_getitem{prim_type=1}(%10, %1155, %1156) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1158 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para26, %1157, %17, %para238, %para638, %para450, %1154) #(Ref[Tensor(F32)][64, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][64, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][64, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1159 = Primitive::UpdateState{prim_type=1}(%1154, %1158) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]412
- %1160 = PrimitivePy::RefToEmbed{prim_type=1}(%para25) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1161 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%206) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1162 = PrimitivePy::env_getitem{prim_type=1}(%10, %1160, %1161) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1163 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para25, %1162, %17, %para237, %para638, %para449, %1159) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1164 = Primitive::UpdateState{prim_type=1}(%1159, %1163) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %1165 = PrimitivePy::RefToEmbed{prim_type=1}(%para24) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1166 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%207) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1167 = PrimitivePy::env_getitem{prim_type=1}(%10, %1165, %1166) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1168 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para24, %1167, %17, %para236, %para638, %para448, %1164) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1169 = Primitive::UpdateState{prim_type=1}(%1164, %1168) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %1170 = PrimitivePy::RefToEmbed{prim_type=1}(%para23) #(Ref[Tensor(F32)][256, 64, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1171 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%208) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1172 = PrimitivePy::env_getitem{prim_type=1}(%10, %1170, %1171) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1173 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para23, %1172, %17, %para235, %para638, %para447, %1169) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 64, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1174 = Primitive::UpdateState{prim_type=1}(%1169, %1173) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]409
- %1175 = PrimitivePy::RefToEmbed{prim_type=1}(%para22) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1176 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%209) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1177 = PrimitivePy::env_getitem{prim_type=1}(%10, %1175, %1176) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1178 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para22, %1177, %17, %para234, %para638, %para446, %1174) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1179 = Primitive::UpdateState{prim_type=1}(%1174, %1178) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1180 = PrimitivePy::RefToEmbed{prim_type=1}(%para21) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1181 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%210) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1182 = PrimitivePy::env_getitem{prim_type=1}(%10, %1180, %1181) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1183 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para21, %1182, %17, %para233, %para638, %para445, %1179) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1184 = Primitive::UpdateState{prim_type=1}(%1179, %1183) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1185 = PrimitivePy::RefToEmbed{prim_type=1}(%para20) #(Ref[Tensor(F32)][64, 64, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1186 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%211) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1187 = PrimitivePy::env_getitem{prim_type=1}(%10, %1185, %1186) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1188 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para20, %1187, %17, %para232, %para638, %para444, %1184) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][64, 64, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][64, 64, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1189 = Primitive::UpdateState{prim_type=1}(%1184, %1188) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]411
- %1190 = PrimitivePy::RefToEmbed{prim_type=1}(%para19) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1191 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%212) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1192 = PrimitivePy::env_getitem{prim_type=1}(%10, %1190, %1191) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1193 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para19, %1192, %17, %para231, %para638, %para443, %1189) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1194 = Primitive::UpdateState{prim_type=1}(%1189, %1193) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1195 = PrimitivePy::RefToEmbed{prim_type=1}(%para18) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1196 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%213) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1197 = PrimitivePy::env_getitem{prim_type=1}(%10, %1195, %1196) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1198 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para18, %1197, %17, %para230, %para638, %para442, %1194) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1199 = Primitive::UpdateState{prim_type=1}(%1194, %1198) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1200 = PrimitivePy::RefToEmbed{prim_type=1}(%para17) #(Ref[Tensor(F32)][64, 256, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1201 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%214) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1202 = PrimitivePy::env_getitem{prim_type=1}(%10, %1200, %1201) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1203 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para17, %1202, %17, %para229, %para638, %para441, %1199) #(Ref[Tensor(F32)][64, 256, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][64, 256, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][64, 256, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1204 = Primitive::UpdateState{prim_type=1}(%1199, %1203) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]412
- %1205 = PrimitivePy::RefToEmbed{prim_type=1}(%para16) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1206 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%215) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1207 = PrimitivePy::env_getitem{prim_type=1}(%10, %1205, %1206) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1208 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para16, %1207, %17, %para228, %para638, %para440, %1204) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1209 = Primitive::UpdateState{prim_type=1}(%1204, %1208) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %1210 = PrimitivePy::RefToEmbed{prim_type=1}(%para15) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1211 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%216) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1212 = PrimitivePy::env_getitem{prim_type=1}(%10, %1210, %1211) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1213 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para15, %1212, %17, %para227, %para638, %para439, %1209) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1214 = Primitive::UpdateState{prim_type=1}(%1209, %1213) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %1215 = PrimitivePy::RefToEmbed{prim_type=1}(%para14) #(Ref[Tensor(F32)][256, 64, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1216 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%217) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1217 = PrimitivePy::env_getitem{prim_type=1}(%10, %1215, %1216) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1218 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para14, %1217, %17, %para226, %para638, %para438, %1214) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 64, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1219 = Primitive::UpdateState{prim_type=1}(%1214, %1218) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]409
- %1220 = PrimitivePy::RefToEmbed{prim_type=1}(%para13) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1221 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%218) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1222 = PrimitivePy::env_getitem{prim_type=1}(%10, %1220, %1221) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1223 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para13, %1222, %17, %para225, %para638, %para437, %1219) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1224 = Primitive::UpdateState{prim_type=1}(%1219, %1223) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %1225 = PrimitivePy::RefToEmbed{prim_type=1}(%para12) #(Ref[Tensor(F32)][256]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1226 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%219) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1227 = PrimitivePy::env_getitem{prim_type=1}(%10, %1225, %1226) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1228 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para12, %1227, %17, %para224, %para638, %para436, %1224) #(Ref[Tensor(F32)][256], Undefined, Undefined, Ref[Tensor(F32)][256], Ref[Tensor(F32)][], Ref[Tensor(F32)][256], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1229 = Primitive::UpdateState{prim_type=1}(%1224, %1228) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]386
- %1230 = PrimitivePy::RefToEmbed{prim_type=1}(%para11) #(Ref[Tensor(F32)][256, 64, 1, 1]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1231 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%220) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1232 = PrimitivePy::env_getitem{prim_type=1}(%10, %1230, %1231) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1233 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para11, %1232, %17, %para223, %para638, %para435, %1229) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][256, 64, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][256, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1234 = Primitive::UpdateState{prim_type=1}(%1229, %1233) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]409
- %1235 = PrimitivePy::RefToEmbed{prim_type=1}(%para10) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1236 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%221) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1237 = PrimitivePy::env_getitem{prim_type=1}(%10, %1235, %1236) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1238 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para10, %1237, %17, %para222, %para638, %para434, %1234) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1239 = Primitive::UpdateState{prim_type=1}(%1234, %1238) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1240 = PrimitivePy::RefToEmbed{prim_type=1}(%para9) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1241 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%222) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1242 = PrimitivePy::env_getitem{prim_type=1}(%10, %1240, %1241) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1243 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para9, %1242, %17, %para221, %para638, %para433, %1239) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1244 = Primitive::UpdateState{prim_type=1}(%1239, %1243) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1245 = PrimitivePy::RefToEmbed{prim_type=1}(%para8) #(Ref[Tensor(F32)][64, 64, 3, 3]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1246 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%223) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1247 = PrimitivePy::env_getitem{prim_type=1}(%10, %1245, %1246) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1248 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para8, %1247, %17, %para220, %para638, %para432, %1244) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined, Undefined, Ref[Tensor(F32)][64, 64, 3, 3], Ref[Tensor(F32)][], Ref[Tensor(F32)][64, 64, 3, 3], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1249 = Primitive::UpdateState{prim_type=1}(%1244, %1248) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]411
- %1250 = PrimitivePy::RefToEmbed{prim_type=1}(%para7) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1251 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%224) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1252 = PrimitivePy::env_getitem{prim_type=1}(%10, %1250, %1251) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1253 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para7, %1252, %17, %para219, %para638, %para431, %1249) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1254 = Primitive::UpdateState{prim_type=1}(%1249, %1253) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1255 = PrimitivePy::RefToEmbed{prim_type=1}(%para6) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1256 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%225) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1257 = PrimitivePy::env_getitem{prim_type=1}(%10, %1255, %1256) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1258 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para6, %1257, %17, %para218, %para638, %para430, %1254) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1259 = Primitive::UpdateState{prim_type=1}(%1254, %1258) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1260 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%226) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1261 = PrimitivePy::env_getitem{prim_type=1}(%10, SymInst(%para5), %1260) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1262 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para5, %1261, %17, %para217, %para638, %para429, %1259) #(Ref[Tensor(F32)][64, 64, 1, 1], Undefined, Undefined, Ref[Tensor(F32)][64, 64, 1, 1], Ref[Tensor(F32)][], Ref[Tensor(F32)][64, 64, 1, 1], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1263 = Primitive::UpdateState{prim_type=1}(%1259, %1262) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]413
- %1264 = PrimitivePy::RefToEmbed{prim_type=1}(%para4) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1265 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%227) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1266 = PrimitivePy::env_getitem{prim_type=1}(%10, %1264, %1265) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1267 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para4, %1266, %17, %para216, %para638, %para428, %1263) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1268 = Primitive::UpdateState{prim_type=1}(%1263, %1267) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1269 = PrimitivePy::RefToEmbed{prim_type=1}(%para3) #(Ref[Tensor(F32)][64]) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]378
- %1270 = PrimitivePy::ZerosLike{prim_type=1}[input_names=["x"], output_names=["y"]](%228) #(Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]336
- %1271 = PrimitivePy::env_getitem{prim_type=1}(%10, %1269, %1270) #(Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/base.py(669)/ return F.env_getitem(env, F.ref_to_embed(parameter), F.zeros_like(parameter))/#[CNode]337
- %1272 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para3, %1271, %17, %para215, %para638, %para427, %1268) #(Ref[Tensor(F32)][64], Undefined, Undefined, Ref[Tensor(F32)][64], Ref[Tensor(F32)][], Ref[Tensor(F32)][64], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1273 = Primitive::UpdateState{prim_type=1}(%1268, %1272) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]410
- %1274 = PrimitivePy::SGD{prim_type=4}[dampening=F32(0), weight_decay=F32(0.0001), nesterov=Bool(0), input_names=["parameters", "gradient", "learning_rate", "accum", "momentum", "stat"], output_names=["output"], side_effect_mem=Bool(1)](%para2, %14, %17, %para214, %para638, %para426, %1273) #(Ref[Tensor(F32)][64, 3, 7, 7], Undefined, Undefined, Ref[Tensor(F32)][64, 3, 7, 7], Ref[Tensor(F32)][], Ref[Tensor(F32)][64, 3, 7, 7], Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#[CNode]379
- %1275 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1274) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1276 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1272) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1277 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1267) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1278 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1262) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1279 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1258) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1280 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1253) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1281 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1248) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1282 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1243) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1283 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1238) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1284 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1233) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1285 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1228) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1286 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1223) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1287 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1218) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1288 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1213) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1289 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1208) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1290 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1203) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1291 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1198) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1292 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1193) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1293 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1188) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1294 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1183) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1295 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1178) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1296 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1173) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1297 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1168) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1298 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1163) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1299 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1158) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1300 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1153) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1301 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1148) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1302 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1143) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1303 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1138) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1304 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1133) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1305 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1128) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1306 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1123) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1307 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1118) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1308 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1113) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1309 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1109) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1310 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1104) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1311 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1099) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1312 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1094) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1313 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1089) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1314 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1084) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1315 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1079) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1316 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1074) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1317 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1069) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1318 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1065) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1319 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1060) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1320 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1055) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1321 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1050) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1322 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1045) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1323 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1040) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1324 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1035) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1325 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1030) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1326 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1025) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1327 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1020) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1328 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1015) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1329 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1010) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1330 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1005) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1331 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %1000) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1332 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %995) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1333 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %990) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1334 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %985) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1335 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %980) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1336 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %975) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1337 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %970) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1338 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %965) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1339 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %960) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1340 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %955) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1341 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %950) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1342 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %945) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1343 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %940) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1344 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %935) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1345 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %930) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1346 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %925) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1347 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %920) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1348 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %915) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1349 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %910) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1350 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %905) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1351 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %900) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1352 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %895) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1353 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %890) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1354 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %885) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1355 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %880) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1356 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %875) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1357 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %871) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1358 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %866) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1359 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %861) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1360 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %856) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1361 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %851) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1362 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %846) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1363 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %841) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1364 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %836) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1365 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %831) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1366 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %826) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1367 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %821) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1368 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %816) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1369 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %811) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1370 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %806) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1371 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %801) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1372 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %796) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1373 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %791) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1374 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %786) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1375 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %781) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1376 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %776) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1377 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %771) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1378 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %766) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1379 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %761) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1380 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %756) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1381 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %751) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1382 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %746) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1383 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %741) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1384 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %736) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1385 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %731) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1386 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %726) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1387 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %721) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1388 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %716) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1389 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %711) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1390 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %706) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1391 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %701) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1392 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %696) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1393 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %691) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1394 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %686) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1395 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %681) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1396 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %676) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1397 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %671) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1398 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %666) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1399 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %661) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1400 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %656) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1401 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %651) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1402 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %646) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1403 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %641) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1404 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %636) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1405 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %632) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1406 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %627) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1407 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %622) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1408 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %617) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1409 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %612) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1410 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %607) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1411 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %602) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1412 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %597) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1413 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %592) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1414 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %588) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1415 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %583) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1416 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %578) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1417 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %573) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1418 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %568) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1419 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %563) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1420 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %558) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1421 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %553) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1422 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %548) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1423 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %543) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1424 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %538) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1425 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %533) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1426 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %528) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1427 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %523) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1428 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %518) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1429 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %513) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1430 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %508) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1431 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %503) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1432 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %498) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1433 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %493) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1434 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %488) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1435 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %484) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1436 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %480) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1437 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %476) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1438 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %471) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1439 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %466) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1440 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %461) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1441 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %456) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1442 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %451) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1443 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %446) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1444 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %441) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1445 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %436) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1446 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %431) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1447 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %426) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1448 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %421) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1449 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %416) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1450 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %411) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1451 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %406) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1452 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %401) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1453 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %396) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1454 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %391) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1455 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %386) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1456 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %381) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1457 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %376) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1458 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %371) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1459 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %366) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1460 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %361) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1461 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %356) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1462 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %351) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1463 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %346) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1464 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %341) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1465 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %336) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1466 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %331) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1467 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %326) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1468 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %321) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1469 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %316) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1470 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %311) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1471 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %306) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1472 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %301) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1473 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %296) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1474 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %291) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1475 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %286) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1476 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %281) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1477 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %277) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1478 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %273) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1479 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %269) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1480 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %264) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1481 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %260) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1482 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %256) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1483 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %251) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1484 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %246) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1485 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %241) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1486 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](Bool(1), %236) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(31)/ success = F.depend(success, opt(weight, gradient, learning_rate, accum, momentum, stat))/#success
- %1487 = Primitive::MakeTuple{prim_type=1}(%1275, %1276, %1277, %1278, %1279, %1280, %1281, %1282, %1283, %1284, %1285, %1286, %1287, %1288, %1289, %1290, %1291, %1292, %1293, %1294, %1295, %1296, %1297, %1298, %1299, %1300, %1301, %1302, %1303, %1304, %1305, %1306, %1307, %1308, %1309, %1310, %1311, %1312, %1313, %1314, %1315, %1316, %1317, %1318, %1319, %1320, %1321, %1322, %1323, %1324, %1325, %1326, %1327, %1328, %1329, %1330, %1331, %1332, %1333, %1334, %1335, %1336, %1337, %1338, %1339, %1340, %1341, %1342, %1343, %1344, %1345, %1346, %1347, %1348, %1349, %1350, %1351, %1352, %1353, %1354, %1355, %1356, %1357, %1358, %1359, %1360, %1361, %1362, %1363, %1364, %1365, %1366, %1367, %1368, %1369, %1370, %1371, %1372, %1373, %1374, %1375, %1376, %1377, %1378, %1379, %1380, %1381, %1382, %1383, %1384, %1385, %1386, %1387, %1388, %1389, %1390, %1391, %1392, %1393, %1394, %1395, %1396, %1397, %1398, %1399, %1400, %1401, %1402, %1403, %1404, %1405, %1406, %1407, %1408, %1409, %1410, %1411, %1412, %1413, %1414, %1415, %1416, %1417, %1418, %1419, %1420, %1421, %1422, %1423, %1424, %1425, %1426, %1427, %1428, %1429, %1430, %1431, %1432, %1433, %1434, %1435, %1436, %1437, %1438, %1439, %1440, %1441, %1442, %1443, %1444, %1445, %1446, %1447, %1448, %1449, %1450, %1451, %1452, %1453, %1454, %1455, %1456, %1457, %1458, %1459, %1460, %1461, %1462, %1463, %1464, %1465, %1466, %1467, %1468, %1469, %1470, %1471, %1472, %1473, %1474, %1475, %1476, %1477, %1478, %1479, %1480, %1481, %1482, %1483, %1484, %1485, %1486) #(Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/optim/sgd.py(188)/ success = self.hyper_map_reverse(F.partial(_sgd_opt, self.opt, self.momentum, lr),/#[CNode]414
- %1488 = PrimitivePy::Depend{prim_type=1}[side_effect_propagate=I64(1)](%6, %1487) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/wrap/cell_wrapper.py(397)/ loss = F.depend(loss, self.optimizer(grads))/#loss
- %1489 = Primitive::UpdateState{prim_type=1}(%1273, %1274) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/optimizer-SGD
- # #[CNode]415
- %1490 = Primitive::Depend{prim_type=1}[side_effect_propagate=I64(1)](%1488, %1489) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]416
- Primitive::Return{prim_type=1}(%1490) #(Undefined) #scope: Default
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/train/dataset_helper.py(79)/ return self.network(*outputs)/#[CNode]417
- }
-
-
- # [No.2] ▶6144_8_construct.327
- # In file /home/zsl_2/model/fcos.py(211)/ def construct(self, input_imgs, input_boxes, input_classes)://
- funcgraph fg_327[fg_326](
- %para747 : Tensor(F32)[4, 3, 1344, 1344] # ▶batch_imgs
- , %para748 : Tensor(F32)[4, 90, 4] # ▶batch_boxes
- , %para749 : Tensor(I64)[4, 90] # ▶batch_classes
- , %para750 : UMonad # ▶u
- ) {
- %1 : Tuple[Tensor(F32),Func] = FuncGraph::fg_418(Tensor(43)[1, 80], (I64(0), I64(0)), (I64(1), I64(80)), (I64(1), I64(1))) #(Tensor(F32)[1, 80], Tuple[I64*2], Tuple[I64*2], Tuple[I64*2]) # fg_418=▶StridedSlice.418 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2 : Tensor(F32)[1, 80] = Primitive::TupleGetItem{prim_type=1}(%1, I64(0)) #(Tuple[Tensor(F32),Func], I64) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]420
-
- #------------------------> 1
- %3 = FuncGraph::fg_328([Tensor(34)[168, 168], Tensor(34)[168, 168]], I64(1)) #(List[Tensor(I32)*2], I64) # fg_328=▶TupleGetItem.328 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %4 = Primitive::TupleGetItem{prim_type=1}(%3, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]422
- %5 = FuncGraph::fg_423(%4, (I64(1), I64(0))) #(Undefined, Undefined) # fg_423=▶Transpose.423 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %6 = Primitive::TupleGetItem{prim_type=1}(%5, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]425
- %7 = FuncGraph::fg_426(%6, (I64(-1))) #(Undefined, Undefined) # fg_426=▶Reshape.426 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %8 = Primitive::TupleGetItem{prim_type=1}(%7, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]428
- %9 = FuncGraph::fg_429(%8, I64(-1)) #(Undefined, Undefined) # fg_429=▶ExpandDims.429 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %10 = Primitive::TupleGetItem{prim_type=1}(%9, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]431
- %11 = FuncGraph::fg_432([Tensor(34)[168, 168], Tensor(34)[168, 168]], I64(0)) #(List[Tensor(I32)*2], Undefined) # fg_432=▶TupleGetItem.432 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %12 = Primitive::TupleGetItem{prim_type=1}(%11, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]433
- %13 = FuncGraph::fg_423(%12, (I64(1), I64(0))) #(Undefined, Undefined) # fg_423=▶Transpose.423 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %14 = Primitive::TupleGetItem{prim_type=1}(%13, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]434
- %15 = FuncGraph::fg_426(%14, (I64(-1))) #(Undefined, Undefined) # fg_426=▶Reshape.426 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %16 = Primitive::TupleGetItem{prim_type=1}(%15, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]435
- %17 = FuncGraph::fg_436(%16, I64(-1)) #(Undefined, Undefined) # fg_436=▶ExpandDims.436 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %18 = Primitive::TupleGetItem{prim_type=1}(%17, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]437
- %19 = MakeTupleGradient::make_tuple_gradient(%10, %18) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲438
- %20 = Primitive::TupleGetItem{prim_type=1}(%19, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]439
- %21 = FuncGraph::fg_440(%20) #(Undefined) # fg_440=▶Concat.440 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(434)/ return P.Concat(axis)(arrays)/#▲[CNode]441
- %22 = Primitive::TupleGetItem{prim_type=1}(%21, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]442
- %23 = FuncGraph::fg_443(%22, Tensor(34)[]) #(Undefined, Undefined) # fg_443=▶Add.443 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]444
- %24 = Primitive::TupleGetItem{prim_type=1}(%23, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]445
- %25 = FuncGraph::fg_446(%24, F32) #(Undefined, Undefined) # fg_446=▶Cast.446 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(38)/ return ops.Cast()(coords, mstype.float32)/#▲[CNode]447
- %26 = Primitive::TupleGetItem{prim_type=1}(%25, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]448
- %27 = FuncGraph::fg_449(%26, (I64(0), I64(0)), (I64(28224), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_449=▶StridedSlice.449 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %28 = Primitive::TupleGetItem{prim_type=1}(%27, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]450
- %29 = FuncGraph::fg_451(%28, I64(0)) #(Undefined, Undefined) # fg_451=▶ExpandDims.451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %30 = Primitive::TupleGetItem{prim_type=1}(%29, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]452
- %31 = FuncGraph::fg_453(%30, I64(2)) #(Undefined, Undefined) # fg_453=▶ExpandDims.453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %32 = Primitive::TupleGetItem{prim_type=1}(%31, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]454
- %33 = FuncGraph::fg_455(%32, (I64(0), I64(0), I64(0)), (I64(1), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_455=▶StridedSlice.455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %34 = Primitive::TupleGetItem{prim_type=1}(%33, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]456
- %35 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %36 = Primitive::TupleGetItem{prim_type=1}(%35, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]458
- %37 = FuncGraph::fg_459(%36, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %38 = Primitive::TupleGetItem{prim_type=1}(%37, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]460
- %39 = FuncGraph::fg_461(%38, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %40 = Primitive::TupleGetItem{prim_type=1}(%39, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]462
- %41 = FuncGraph::fg_463(%34, %40) #(Undefined, Undefined) # fg_463=▶Sub.463 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %42 = Primitive::TupleGetItem{prim_type=1}(%41, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]465
- %43 = FuncGraph::fg_466(%26, (I64(0), I64(1)), (I64(28224), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_466=▶StridedSlice.466 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %44 = Primitive::TupleGetItem{prim_type=1}(%43, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]467
- %45 = FuncGraph::fg_451(%44, I64(0)) #(Undefined, Undefined) # fg_451=▶ExpandDims.451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %46 = Primitive::TupleGetItem{prim_type=1}(%45, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]468
- %47 = FuncGraph::fg_453(%46, I64(2)) #(Undefined, Undefined) # fg_453=▶ExpandDims.453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %48 = Primitive::TupleGetItem{prim_type=1}(%47, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]469
- %49 = FuncGraph::fg_455(%48, (I64(0), I64(0), I64(0)), (I64(1), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_455=▶StridedSlice.455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %50 = Primitive::TupleGetItem{prim_type=1}(%49, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]470
- %51 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %52 = Primitive::TupleGetItem{prim_type=1}(%51, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]472
- %53 = FuncGraph::fg_459(%52, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %54 = Primitive::TupleGetItem{prim_type=1}(%53, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]473
- %55 = FuncGraph::fg_461(%54, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %56 = Primitive::TupleGetItem{prim_type=1}(%55, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]474
- %57 = FuncGraph::fg_475(%50, %56) #(Undefined, Undefined) # fg_475=▶Sub.475 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %58 = Primitive::TupleGetItem{prim_type=1}(%57, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]476
- %59 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %60 = Primitive::TupleGetItem{prim_type=1}(%59, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]478
- %61 = FuncGraph::fg_459(%60, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %62 = Primitive::TupleGetItem{prim_type=1}(%61, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]479
- %63 = FuncGraph::fg_461(%62, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %64 = Primitive::TupleGetItem{prim_type=1}(%63, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]480
- %65 = FuncGraph::fg_451(%28, I64(0)) #(Undefined, Undefined) # fg_451=▶ExpandDims.451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %66 = Primitive::TupleGetItem{prim_type=1}(%65, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]481
- %67 = FuncGraph::fg_453(%66, I64(2)) #(Undefined, Undefined) # fg_453=▶ExpandDims.453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %68 = Primitive::TupleGetItem{prim_type=1}(%67, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]482
- %69 = FuncGraph::fg_455(%68, (I64(0), I64(0), I64(0)), (I64(1), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_455=▶StridedSlice.455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %70 = Primitive::TupleGetItem{prim_type=1}(%69, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]483
- %71 = FuncGraph::fg_484(%64, %70) #(Undefined, Undefined) # fg_484=▶Sub.484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %72 = Primitive::TupleGetItem{prim_type=1}(%71, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]485
- %73 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %74 = Primitive::TupleGetItem{prim_type=1}(%73, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]487
- %75 = FuncGraph::fg_459(%74, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %76 = Primitive::TupleGetItem{prim_type=1}(%75, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]488
- %77 = FuncGraph::fg_461(%76, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %78 = Primitive::TupleGetItem{prim_type=1}(%77, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]489
- %79 = FuncGraph::fg_451(%44, I64(0)) #(Undefined, Undefined) # fg_451=▶ExpandDims.451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %80 = Primitive::TupleGetItem{prim_type=1}(%79, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]490
- %81 = FuncGraph::fg_453(%80, I64(2)) #(Undefined, Undefined) # fg_453=▶ExpandDims.453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %82 = Primitive::TupleGetItem{prim_type=1}(%81, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]491
- %83 = FuncGraph::fg_455(%82, (I64(0), I64(0), I64(0)), (I64(1), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_455=▶StridedSlice.455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %84 = Primitive::TupleGetItem{prim_type=1}(%83, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]492
- %85 = FuncGraph::fg_493(%78, %84) #(Undefined, Undefined) # fg_493=▶Sub.493 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %86 = Primitive::TupleGetItem{prim_type=1}(%85, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]494
- %87 = MakeTupleGradient::make_tuple_gradient(%42, %58, %72, %86) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲[CNode]495
- %88 = Primitive::TupleGetItem{prim_type=1}(%87, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]496
- %89 = FuncGraph::fg_497(%88) #(Undefined) # fg_497=▶Stack.497 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲ltrb_off
- %90 = Primitive::TupleGetItem{prim_type=1}(%89, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]498
- %91 = FuncGraph::fg_499(%90, (I64(3))) #(Undefined, Undefined) # fg_499=▶ReduceMin.499 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %92 = Primitive::TupleGetItem{prim_type=1}(%91, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]501
- %93 = FuncGraph::fg_502(%92, Tensor(43)[]) #(Undefined, Undefined) # fg_502=▶Greater.502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %94 = Primitive::TupleGetItem{prim_type=1}(%93, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]504
- %95 = FuncGraph::fg_505(%94, I32) #(Undefined, Undefined) # fg_505=▶Cast.505 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(187)/ tempingtboxes = ops.Cast()(mask_in_gtboxes,mindspore.int32)/#▲tempingtboxes
- %96 = Primitive::TupleGetItem{prim_type=1}(%95, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]506
- %97 = FuncGraph::fg_507(%90, (I64(3))) #(Undefined, Undefined) # fg_507=▶ReduceMax.507 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %98 = Primitive::TupleGetItem{prim_type=1}(%97, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]508
- %99 = FuncGraph::fg_509(%98, Tensor(43)[]) #(Undefined, Undefined) # fg_509=▶Greater.509 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %100 = Primitive::TupleGetItem{prim_type=1}(%99, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]510
- %101 = FuncGraph::fg_511(%100, I32) #(Undefined, Undefined) # fg_511=▶Cast.511 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(162)/ tempmin = ops.Cast()(tempmin,mindspore.int32)/#▲tempmin
- %102 = Primitive::TupleGetItem{prim_type=1}(%101, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]512
- %103 = FuncGraph::fg_513(%98, Tensor(43)[]) #(Undefined, Undefined) # fg_513=▶LessEqual.513 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_equal_impl.py(54)/ return F.tensor_le(x, y)/#▲[CNode]514
- %104 = Primitive::TupleGetItem{prim_type=1}(%103, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]515
- %105 = FuncGraph::fg_516(%104, I32) #(Undefined, Undefined) # fg_516=▶Cast.516 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(163)/ tempmax = ops.Cast()(tempmax,mindspore.int32)/#▲tempmax
- %106 = Primitive::TupleGetItem{prim_type=1}(%105, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]517
- %107 = FuncGraph::fg_518(%102, %106) #(Undefined, Undefined) # fg_518=▶Mul.518 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(164)/ tempMask_in_level = ops.Mul()(tempmin,tempmax)/#▲tempMask_in_level
- %108 = Primitive::TupleGetItem{prim_type=1}(%107, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]519
- %109 = FuncGraph::fg_520(%96, %108) #(Undefined, Undefined) # fg_520=▶Mul.520 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲[CNode]521
- %110 = Primitive::TupleGetItem{prim_type=1}(%109, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]522
- %111 = FuncGraph::fg_451(%28, I64(0)) #(Undefined, Undefined) # fg_451=▶ExpandDims.451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %112 = Primitive::TupleGetItem{prim_type=1}(%111, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]523
- %113 = FuncGraph::fg_453(%112, I64(2)) #(Undefined, Undefined) # fg_453=▶ExpandDims.453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %114 = Primitive::TupleGetItem{prim_type=1}(%113, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]524
- %115 = FuncGraph::fg_455(%114, (I64(0), I64(0), I64(0)), (I64(1), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_455=▶StridedSlice.455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %116 = Primitive::TupleGetItem{prim_type=1}(%115, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]525
- %117 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %118 = Primitive::TupleGetItem{prim_type=1}(%117, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]526
- %119 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %120 = Primitive::TupleGetItem{prim_type=1}(%119, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]527
- %121 = FuncGraph::fg_528(%118, %120) #(Undefined, Undefined) # fg_528=▶Add.528 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %122 = Primitive::TupleGetItem{prim_type=1}(%121, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]530
- %123 = FuncGraph::fg_531(%122, Tensor(43)[]) #(Undefined, Undefined) # fg_531=▶RealDiv.531 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %124 = Primitive::TupleGetItem{prim_type=1}(%123, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]533
- %125 = FuncGraph::fg_459(%124, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %126 = Primitive::TupleGetItem{prim_type=1}(%125, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]534
- %127 = FuncGraph::fg_461(%126, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %128 = Primitive::TupleGetItem{prim_type=1}(%127, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]535
- %129 = FuncGraph::fg_536(%116, %128) #(Undefined, Undefined) # fg_536=▶Sub.536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %130 = Primitive::TupleGetItem{prim_type=1}(%129, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]537
- %131 = FuncGraph::fg_451(%44, I64(0)) #(Undefined, Undefined) # fg_451=▶ExpandDims.451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %132 = Primitive::TupleGetItem{prim_type=1}(%131, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]538
- %133 = FuncGraph::fg_453(%132, I64(2)) #(Undefined, Undefined) # fg_453=▶ExpandDims.453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %134 = Primitive::TupleGetItem{prim_type=1}(%133, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]539
- %135 = FuncGraph::fg_455(%134, (I64(0), I64(0), I64(0)), (I64(1), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_455=▶StridedSlice.455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %136 = Primitive::TupleGetItem{prim_type=1}(%135, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]540
- %137 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %138 = Primitive::TupleGetItem{prim_type=1}(%137, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]541
- %139 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %140 = Primitive::TupleGetItem{prim_type=1}(%139, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]542
- %141 = FuncGraph::fg_543(%138, %140) #(Undefined, Undefined) # fg_543=▶Add.543 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %142 = Primitive::TupleGetItem{prim_type=1}(%141, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]544
- %143 = FuncGraph::fg_545(%142, Tensor(43)[]) #(Undefined, Undefined) # fg_545=▶RealDiv.545 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %144 = Primitive::TupleGetItem{prim_type=1}(%143, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]546
- %145 = FuncGraph::fg_459(%144, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %146 = Primitive::TupleGetItem{prim_type=1}(%145, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]547
- %147 = FuncGraph::fg_461(%146, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %148 = Primitive::TupleGetItem{prim_type=1}(%147, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]548
- %149 = FuncGraph::fg_549(%136, %148) #(Undefined, Undefined) # fg_549=▶Sub.549 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %150 = Primitive::TupleGetItem{prim_type=1}(%149, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]550
- %151 = FuncGraph::fg_459(%124, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %152 = Primitive::TupleGetItem{prim_type=1}(%151, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]551
- %153 = FuncGraph::fg_461(%152, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %154 = Primitive::TupleGetItem{prim_type=1}(%153, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]552
- %155 = FuncGraph::fg_451(%28, I64(0)) #(Undefined, Undefined) # fg_451=▶ExpandDims.451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %156 = Primitive::TupleGetItem{prim_type=1}(%155, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]553
- %157 = FuncGraph::fg_453(%156, I64(2)) #(Undefined, Undefined) # fg_453=▶ExpandDims.453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %158 = Primitive::TupleGetItem{prim_type=1}(%157, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]554
- %159 = FuncGraph::fg_455(%158, (I64(0), I64(0), I64(0)), (I64(1), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_455=▶StridedSlice.455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %160 = Primitive::TupleGetItem{prim_type=1}(%159, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]555
- %161 = FuncGraph::fg_556(%154, %160) #(Undefined, Undefined) # fg_556=▶Sub.556 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %162 = Primitive::TupleGetItem{prim_type=1}(%161, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]557
- %163 = FuncGraph::fg_459(%144, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %164 = Primitive::TupleGetItem{prim_type=1}(%163, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]558
- %165 = FuncGraph::fg_461(%164, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %166 = Primitive::TupleGetItem{prim_type=1}(%165, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]559
- %167 = FuncGraph::fg_451(%44, I64(0)) #(Undefined, Undefined) # fg_451=▶ExpandDims.451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %168 = Primitive::TupleGetItem{prim_type=1}(%167, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]560
- %169 = FuncGraph::fg_453(%168, I64(2)) #(Undefined, Undefined) # fg_453=▶ExpandDims.453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %170 = Primitive::TupleGetItem{prim_type=1}(%169, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]561
- %171 = FuncGraph::fg_455(%170, (I64(0), I64(0), I64(0)), (I64(1), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_455=▶StridedSlice.455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %172 = Primitive::TupleGetItem{prim_type=1}(%171, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]562
- %173 = FuncGraph::fg_563(%166, %172) #(Undefined, Undefined) # fg_563=▶Sub.563 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %174 = Primitive::TupleGetItem{prim_type=1}(%173, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]564
- %175 = MakeTupleGradient::make_tuple_gradient(%130, %150, %162, %174) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲[CNode]565
- %176 = Primitive::TupleGetItem{prim_type=1}(%175, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]566
- %177 = FuncGraph::fg_567(%176) #(Undefined) # fg_567=▶Stack.567 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲c_ltrb_off
- %178 = Primitive::TupleGetItem{prim_type=1}(%177, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]568
- %179 = FuncGraph::fg_507(%178, (I64(3))) #(Undefined, Undefined) # fg_507=▶ReduceMax.507 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %180 = Primitive::TupleGetItem{prim_type=1}(%179, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]569
- %181 = FuncGraph::fg_570(%180, Tensor(43)[]) #(Undefined, Undefined) # fg_570=▶Less.570 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_impl.py(54)/ return F.tensor_lt(x, y)/#▲[CNode]571
- %182 = Primitive::TupleGetItem{prim_type=1}(%181, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]572
- %183 = FuncGraph::fg_573(%182, I32) #(Undefined, Undefined) # fg_573=▶Cast.573 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(189)/ tempmaskcenter = ops.Cast()(mask_center,mindspore.int32)/#▲tempmaskcenter
- %184 = Primitive::TupleGetItem{prim_type=1}(%183, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]574
- %185 = FuncGraph::fg_575(%110, %184) #(Undefined, Undefined) # fg_575=▶Mul.575 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲mask_pos
- %186 = Primitive::TupleGetItem{prim_type=1}(%185, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]576
- %187 = FuncGraph::fg_577(%186, F16) #(Undefined, Undefined) # fg_577=▶Cast.577 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(233)/ mask_pos_2 = ops.Cast()(mask_pos,mstype.float16)/#▲mask_pos_2
- %188 = Primitive::TupleGetItem{prim_type=1}(%187, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]578
- %189 = FuncGraph::fg_579(%188, I64(-1)) #(Undefined, Undefined) # fg_579=▶ReduceSum.579 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(234)/ mask_pos_2 = ops.ReduceSum()(mask_pos_2, -1)/#▲mask_pos_2
- %190 = Primitive::TupleGetItem{prim_type=1}(%189, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]580
- %191 = FuncGraph::fg_581(%190, Tensor(42)[]) #(Undefined, Undefined) # fg_581=▶GreaterEqual.581 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_equal_impl.py(54)/ return F.tensor_ge(x, y)/#▲[CNode]582
- %192 = Primitive::TupleGetItem{prim_type=1}(%191, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]583
- %193 = FuncGraph::fg_584(%192, I64(2)) #(Undefined, Undefined) # fg_584=▶ExpandDims.584 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(250)/ tempmask += (mask_pos_2,)/#▲Φmask_pos_2
- %194 = Primitive::TupleGetItem{prim_type=1}(%193, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]585
- %195 = FuncGraph::fg_586(%194) #(Undefined) # fg_586=▶LogicalNot.586 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(244)/ cls_targets[~mask_pos_2] = 0 # [batch_size,h*w,1]/#▲[CNode]587
- %196 = Primitive::TupleGetItem{prim_type=1}(%195, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]588
- %197 = FuncGraph::fg_589(%para749, I64(1)) #(Tensor(I64)[4, 90], Undefined) # fg_589=▶ExpandDims.589 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %198 = Primitive::TupleGetItem{prim_type=1}(%197, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]590
- %199 = FuncGraph::fg_591(%198, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_591=▶StridedSlice.591 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %200 = Primitive::TupleGetItem{prim_type=1}(%199, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]592
- %201 = FuncGraph::fg_593(%200, (I64(1), I64(28224), I64(1))) #(Undefined, Undefined) # fg_593=▶Tile.593 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/utils.py(87)/ return F.tile(x, size)/#▲[CNode]594
- %202 = Primitive::TupleGetItem{prim_type=1}(%201, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]595
- %203 = FuncGraph::fg_596(%202, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_596=▶Reshape.596 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %204 = Primitive::TupleGetItem{prim_type=1}(%203, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]597
- %205 = FuncGraph::fg_598(%186, Bool) #(Undefined, Undefined) # fg_598=▶Cast.598 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(193)/ mask_pos = ops.Cast()(mask_pos, mstype.bool_)/#▲mask_pos
- %206 = Primitive::TupleGetItem{prim_type=1}(%205, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]599
- %207 = FuncGraph::fg_600(%206) #(Undefined) # fg_600=▶LogicalNot.600 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(195)/ areas[~mask_pos] = 99999999/#▲[CNode]601
- %208 = Primitive::TupleGetItem{prim_type=1}(%207, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]602
- %209 = FuncGraph::fg_603(%90, (I64(0), I64(0), I64(0), I64(0)), (I64(4), I64(28224), I64(90), I64(1)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_603=▶StridedSlice.603 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %210 = Primitive::TupleGetItem{prim_type=1}(%209, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]604
- %211 = FuncGraph::fg_605(%90, (I64(0), I64(0), I64(0), I64(2)), (I64(4), I64(28224), I64(90), I64(3)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_605=▶StridedSlice.605 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %212 = Primitive::TupleGetItem{prim_type=1}(%211, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]606
- %213 = FuncGraph::fg_607(%210, %212) #(Undefined, Undefined) # fg_607=▶Add.607 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %214 = Primitive::TupleGetItem{prim_type=1}(%213, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]608
- %215 = FuncGraph::fg_609(%90, (I64(0), I64(0), I64(0), I64(1)), (I64(4), I64(28224), I64(90), I64(2)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_609=▶StridedSlice.609 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %216 = Primitive::TupleGetItem{prim_type=1}(%215, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]610
- %217 = FuncGraph::fg_611(%90, (I64(0), I64(0), I64(0), I64(3)), (I64(4), I64(28224), I64(90), I64(4)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_611=▶StridedSlice.611 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %218 = Primitive::TupleGetItem{prim_type=1}(%217, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]612
- %219 = FuncGraph::fg_613(%216, %218) #(Undefined, Undefined) # fg_613=▶Add.613 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %220 = Primitive::TupleGetItem{prim_type=1}(%219, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]614
- %221 = FuncGraph::fg_615(%214, %220) #(Undefined, Undefined) # fg_615=▶Mul.615 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %222 = Primitive::TupleGetItem{prim_type=1}(%221, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]617
- %223 = FuncGraph::fg_618(%222) #(Undefined) # fg_618=▶OnesLike.618 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %224 = Primitive::TupleGetItem{prim_type=1}(%223, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]619
- %225 = FuncGraph::fg_620(%224, Tensor(43)[]) #(Undefined, Undefined) # fg_620=▶Mul.620 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %226 = Primitive::TupleGetItem{prim_type=1}(%225, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]621
- %227 = FuncGraph::fg_622(%208, %226, %222) #(Undefined, Undefined, Undefined) # fg_622=▶Select.622 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %228 = Primitive::TupleGetItem{prim_type=1}(%227, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]623
- %229 = FuncGraph::fg_624(%228, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_624=▶Reshape.624 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %230 = Primitive::TupleGetItem{prim_type=1}(%229, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]625
- %231 = FuncGraph::fg_626(%230) #(Undefined) # fg_626=▶ArgMinWithValue.626 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(200)/ areas_min_ind = P.ArgMinWithValue(-1)(tempareas)/#▲areas_min_ind
- %232 = Primitive::TupleGetItem{prim_type=1}(%231, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]627
- %233 = FuncGraph::fg_628(%232, I64(0)) #(Undefined, Undefined) # fg_628=▶TupleGetItem.628 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]629
- %234 = Primitive::TupleGetItem{prim_type=1}(%233, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]630
- %235 = FuncGraph::fg_631(%234, I64(-1)) #(Undefined, Undefined) # fg_631=▶ExpandDims.631 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]632
- %236 = Primitive::TupleGetItem{prim_type=1}(%235, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]633
- %237 = MakeTupleGradient::make_tuple_gradient(Tensor(34)[112896, 1], %236) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]634
- %238 = Primitive::TupleGetItem{prim_type=1}(%237, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]635
- %239 = FuncGraph::fg_636(%238) #(Undefined) # fg_636=▶Concat.636 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲indices
- %240 = Primitive::TupleGetItem{prim_type=1}(%239, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]637
- %241 = FuncGraph::fg_638(%204, %240) #(Undefined, Undefined) # fg_638=▶GatherNd.638 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(213)/ cls_targets = P.GatherNd()(classes.reshape(-1, m), indices)/#▲cls_targets
- %242 = Primitive::TupleGetItem{prim_type=1}(%241, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]639
- %243 = FuncGraph::fg_640(%242, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_640=▶Reshape.640 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(214)/ cls_targets = ops.Reshape()(cls_targets,(batch_size,-1,1))/#▲cls_targets
- %244 = Primitive::TupleGetItem{prim_type=1}(%243, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]641
- %245 = FuncGraph::fg_642(%244) #(Undefined) # fg_642=▶OnesLike.642 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %246 = Primitive::TupleGetItem{prim_type=1}(%245, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]643
- %247 = FuncGraph::fg_644(%246, Tensor(35)[]) #(Undefined, Undefined) # fg_644=▶Mul.644 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %248 = Primitive::TupleGetItem{prim_type=1}(%247, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]645
- %249 = FuncGraph::fg_646(%196, %248, %244) #(Undefined, Undefined, Undefined) # fg_646=▶Select.646 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %250 = Primitive::TupleGetItem{prim_type=1}(%249, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]647
- %251 = FuncGraph::fg_648([Tensor(34)[84, 84], Tensor(34)[84, 84]], I64(1)) #(Undefined, Undefined) # fg_648=▶TupleGetItem.648 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %252 = Primitive::TupleGetItem{prim_type=1}(%251, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]649
- %253 = FuncGraph::fg_650(%252, (I64(1), I64(0))) #(Undefined, Undefined) # fg_650=▶Transpose.650 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %254 = Primitive::TupleGetItem{prim_type=1}(%253, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]651
- %255 = FuncGraph::fg_652(%254, (I64(-1))) #(Undefined, Undefined) # fg_652=▶Reshape.652 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %256 = Primitive::TupleGetItem{prim_type=1}(%255, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]653
- %257 = FuncGraph::fg_654(%256, I64(-1)) #(Undefined, Undefined) # fg_654=▶ExpandDims.654 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %258 = Primitive::TupleGetItem{prim_type=1}(%257, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]655
- %259 = FuncGraph::fg_656([Tensor(34)[84, 84], Tensor(34)[84, 84]], I64(0)) #(Undefined, Undefined) # fg_656=▶TupleGetItem.656 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %260 = Primitive::TupleGetItem{prim_type=1}(%259, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]657
- %261 = FuncGraph::fg_650(%260, (I64(1), I64(0))) #(Undefined, Undefined) # fg_650=▶Transpose.650 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %262 = Primitive::TupleGetItem{prim_type=1}(%261, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]658
- %263 = FuncGraph::fg_652(%262, (I64(-1))) #(Undefined, Undefined) # fg_652=▶Reshape.652 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %264 = Primitive::TupleGetItem{prim_type=1}(%263, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]659
- %265 = FuncGraph::fg_660(%264, I64(-1)) #(Undefined, Undefined) # fg_660=▶ExpandDims.660 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %266 = Primitive::TupleGetItem{prim_type=1}(%265, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]661
- %267 = MakeTupleGradient::make_tuple_gradient(%258, %266) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲662
- %268 = Primitive::TupleGetItem{prim_type=1}(%267, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]663
- %269 = FuncGraph::fg_664(%268) #(Undefined) # fg_664=▶Concat.664 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(434)/ return P.Concat(axis)(arrays)/#▲[CNode]441
- %270 = Primitive::TupleGetItem{prim_type=1}(%269, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]665
- %271 = FuncGraph::fg_666(%270, Tensor(34)[]) #(Undefined, Undefined) # fg_666=▶Add.666 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]444
- %272 = Primitive::TupleGetItem{prim_type=1}(%271, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]667
- %273 = FuncGraph::fg_668(%272, F32) #(Undefined, Undefined) # fg_668=▶Cast.668 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(38)/ return ops.Cast()(coords, mstype.float32)/#▲[CNode]447
- %274 = Primitive::TupleGetItem{prim_type=1}(%273, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]669
- %275 = FuncGraph::fg_670(%274, (I64(0), I64(0)), (I64(7056), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_670=▶StridedSlice.670 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %276 = Primitive::TupleGetItem{prim_type=1}(%275, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]671
- %277 = FuncGraph::fg_672(%276, I64(0)) #(Undefined, Undefined) # fg_672=▶ExpandDims.672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %278 = Primitive::TupleGetItem{prim_type=1}(%277, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]673
- %279 = FuncGraph::fg_674(%278, I64(2)) #(Undefined, Undefined) # fg_674=▶ExpandDims.674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %280 = Primitive::TupleGetItem{prim_type=1}(%279, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]675
- %281 = FuncGraph::fg_676(%280, (I64(0), I64(0), I64(0)), (I64(1), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_676=▶StridedSlice.676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %282 = Primitive::TupleGetItem{prim_type=1}(%281, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]677
- %283 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %284 = Primitive::TupleGetItem{prim_type=1}(%283, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]678
- %285 = FuncGraph::fg_459(%284, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %286 = Primitive::TupleGetItem{prim_type=1}(%285, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]679
- %287 = FuncGraph::fg_461(%286, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %288 = Primitive::TupleGetItem{prim_type=1}(%287, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]680
- %289 = FuncGraph::fg_681(%282, %288) #(Undefined, Undefined) # fg_681=▶Sub.681 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %290 = Primitive::TupleGetItem{prim_type=1}(%289, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]682
- %291 = FuncGraph::fg_683(%274, (I64(0), I64(1)), (I64(7056), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_683=▶StridedSlice.683 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %292 = Primitive::TupleGetItem{prim_type=1}(%291, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]684
- %293 = FuncGraph::fg_672(%292, I64(0)) #(Undefined, Undefined) # fg_672=▶ExpandDims.672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %294 = Primitive::TupleGetItem{prim_type=1}(%293, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]685
- %295 = FuncGraph::fg_674(%294, I64(2)) #(Undefined, Undefined) # fg_674=▶ExpandDims.674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %296 = Primitive::TupleGetItem{prim_type=1}(%295, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]686
- %297 = FuncGraph::fg_676(%296, (I64(0), I64(0), I64(0)), (I64(1), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_676=▶StridedSlice.676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %298 = Primitive::TupleGetItem{prim_type=1}(%297, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]687
- %299 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %300 = Primitive::TupleGetItem{prim_type=1}(%299, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]688
- %301 = FuncGraph::fg_459(%300, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %302 = Primitive::TupleGetItem{prim_type=1}(%301, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]689
- %303 = FuncGraph::fg_461(%302, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %304 = Primitive::TupleGetItem{prim_type=1}(%303, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]690
- %305 = FuncGraph::fg_691(%298, %304) #(Undefined, Undefined) # fg_691=▶Sub.691 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %306 = Primitive::TupleGetItem{prim_type=1}(%305, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]692
- %307 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %308 = Primitive::TupleGetItem{prim_type=1}(%307, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]693
- %309 = FuncGraph::fg_459(%308, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %310 = Primitive::TupleGetItem{prim_type=1}(%309, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]694
- %311 = FuncGraph::fg_461(%310, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %312 = Primitive::TupleGetItem{prim_type=1}(%311, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]695
- %313 = FuncGraph::fg_672(%276, I64(0)) #(Undefined, Undefined) # fg_672=▶ExpandDims.672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %314 = Primitive::TupleGetItem{prim_type=1}(%313, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]696
- %315 = FuncGraph::fg_674(%314, I64(2)) #(Undefined, Undefined) # fg_674=▶ExpandDims.674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %316 = Primitive::TupleGetItem{prim_type=1}(%315, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]697
- %317 = FuncGraph::fg_676(%316, (I64(0), I64(0), I64(0)), (I64(1), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_676=▶StridedSlice.676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %318 = Primitive::TupleGetItem{prim_type=1}(%317, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]698
- %319 = FuncGraph::fg_699(%312, %318) #(Undefined, Undefined) # fg_699=▶Sub.699 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %320 = Primitive::TupleGetItem{prim_type=1}(%319, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]700
- %321 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %322 = Primitive::TupleGetItem{prim_type=1}(%321, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]701
- %323 = FuncGraph::fg_459(%322, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %324 = Primitive::TupleGetItem{prim_type=1}(%323, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]702
- %325 = FuncGraph::fg_461(%324, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %326 = Primitive::TupleGetItem{prim_type=1}(%325, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]703
- %327 = FuncGraph::fg_672(%292, I64(0)) #(Undefined, Undefined) # fg_672=▶ExpandDims.672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %328 = Primitive::TupleGetItem{prim_type=1}(%327, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]704
- %329 = FuncGraph::fg_674(%328, I64(2)) #(Undefined, Undefined) # fg_674=▶ExpandDims.674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %330 = Primitive::TupleGetItem{prim_type=1}(%329, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]705
- %331 = FuncGraph::fg_676(%330, (I64(0), I64(0), I64(0)), (I64(1), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_676=▶StridedSlice.676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %332 = Primitive::TupleGetItem{prim_type=1}(%331, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]706
- %333 = FuncGraph::fg_707(%326, %332) #(Undefined, Undefined) # fg_707=▶Sub.707 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %334 = Primitive::TupleGetItem{prim_type=1}(%333, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]708
- %335 = MakeTupleGradient::make_tuple_gradient(%290, %306, %320, %334) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲[CNode]495
- %336 = Primitive::TupleGetItem{prim_type=1}(%335, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]709
- %337 = FuncGraph::fg_710(%336) #(Undefined) # fg_710=▶Stack.710 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲ltrb_off
- %338 = Primitive::TupleGetItem{prim_type=1}(%337, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]711
- %339 = FuncGraph::fg_712(%338, (I64(3))) #(Undefined, Undefined) # fg_712=▶ReduceMin.712 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %340 = Primitive::TupleGetItem{prim_type=1}(%339, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]713
- %341 = FuncGraph::fg_714(%340, Tensor(43)[]) #(Undefined, Undefined) # fg_714=▶Greater.714 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %342 = Primitive::TupleGetItem{prim_type=1}(%341, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]715
- %343 = FuncGraph::fg_716(%342, I32) #(Undefined, Undefined) # fg_716=▶Cast.716 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(187)/ tempingtboxes = ops.Cast()(mask_in_gtboxes,mindspore.int32)/#▲tempingtboxes
- %344 = Primitive::TupleGetItem{prim_type=1}(%343, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]717
- %345 = FuncGraph::fg_718(%338, (I64(3))) #(Undefined, Undefined) # fg_718=▶ReduceMax.718 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %346 = Primitive::TupleGetItem{prim_type=1}(%345, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]719
- %347 = FuncGraph::fg_720(%346, Tensor(43)[]) #(Undefined, Undefined) # fg_720=▶Greater.720 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %348 = Primitive::TupleGetItem{prim_type=1}(%347, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]721
- %349 = FuncGraph::fg_722(%348, I32) #(Undefined, Undefined) # fg_722=▶Cast.722 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(162)/ tempmin = ops.Cast()(tempmin,mindspore.int32)/#▲tempmin
- %350 = Primitive::TupleGetItem{prim_type=1}(%349, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]723
- %351 = FuncGraph::fg_724(%346, Tensor(43)[]) #(Undefined, Undefined) # fg_724=▶LessEqual.724 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_equal_impl.py(54)/ return F.tensor_le(x, y)/#▲[CNode]514
- %352 = Primitive::TupleGetItem{prim_type=1}(%351, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]725
- %353 = FuncGraph::fg_726(%352, I32) #(Undefined, Undefined) # fg_726=▶Cast.726 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(163)/ tempmax = ops.Cast()(tempmax,mindspore.int32)/#▲tempmax
- %354 = Primitive::TupleGetItem{prim_type=1}(%353, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]727
- %355 = FuncGraph::fg_728(%350, %354) #(Undefined, Undefined) # fg_728=▶Mul.728 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(164)/ tempMask_in_level = ops.Mul()(tempmin,tempmax)/#▲tempMask_in_level
- %356 = Primitive::TupleGetItem{prim_type=1}(%355, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]729
- %357 = FuncGraph::fg_730(%344, %356) #(Undefined, Undefined) # fg_730=▶Mul.730 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲[CNode]521
- %358 = Primitive::TupleGetItem{prim_type=1}(%357, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]731
- %359 = FuncGraph::fg_672(%276, I64(0)) #(Undefined, Undefined) # fg_672=▶ExpandDims.672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %360 = Primitive::TupleGetItem{prim_type=1}(%359, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]732
- %361 = FuncGraph::fg_674(%360, I64(2)) #(Undefined, Undefined) # fg_674=▶ExpandDims.674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %362 = Primitive::TupleGetItem{prim_type=1}(%361, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]733
- %363 = FuncGraph::fg_676(%362, (I64(0), I64(0), I64(0)), (I64(1), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_676=▶StridedSlice.676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %364 = Primitive::TupleGetItem{prim_type=1}(%363, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]734
- %365 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %366 = Primitive::TupleGetItem{prim_type=1}(%365, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]735
- %367 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %368 = Primitive::TupleGetItem{prim_type=1}(%367, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]736
- %369 = FuncGraph::fg_737(%366, %368) #(Undefined, Undefined) # fg_737=▶Add.737 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %370 = Primitive::TupleGetItem{prim_type=1}(%369, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]738
- %371 = FuncGraph::fg_739(%370, Tensor(43)[]) #(Undefined, Undefined) # fg_739=▶RealDiv.739 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %372 = Primitive::TupleGetItem{prim_type=1}(%371, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]740
- %373 = FuncGraph::fg_459(%372, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %374 = Primitive::TupleGetItem{prim_type=1}(%373, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]741
- %375 = FuncGraph::fg_461(%374, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %376 = Primitive::TupleGetItem{prim_type=1}(%375, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]742
- %377 = FuncGraph::fg_743(%364, %376) #(Undefined, Undefined) # fg_743=▶Sub.743 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %378 = Primitive::TupleGetItem{prim_type=1}(%377, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]744
- %379 = FuncGraph::fg_672(%292, I64(0)) #(Undefined, Undefined) # fg_672=▶ExpandDims.672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %380 = Primitive::TupleGetItem{prim_type=1}(%379, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]745
- %381 = FuncGraph::fg_674(%380, I64(2)) #(Undefined, Undefined) # fg_674=▶ExpandDims.674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %382 = Primitive::TupleGetItem{prim_type=1}(%381, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]746
- %383 = FuncGraph::fg_676(%382, (I64(0), I64(0), I64(0)), (I64(1), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_676=▶StridedSlice.676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %384 = Primitive::TupleGetItem{prim_type=1}(%383, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]747
- %385 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %386 = Primitive::TupleGetItem{prim_type=1}(%385, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]748
- %387 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %388 = Primitive::TupleGetItem{prim_type=1}(%387, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]749
- %389 = FuncGraph::fg_750(%386, %388) #(Undefined, Undefined) # fg_750=▶Add.750 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %390 = Primitive::TupleGetItem{prim_type=1}(%389, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]751
- %391 = FuncGraph::fg_752(%390, Tensor(43)[]) #(Undefined, Undefined) # fg_752=▶RealDiv.752 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %392 = Primitive::TupleGetItem{prim_type=1}(%391, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]753
- %393 = FuncGraph::fg_459(%392, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %394 = Primitive::TupleGetItem{prim_type=1}(%393, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]754
- %395 = FuncGraph::fg_461(%394, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %396 = Primitive::TupleGetItem{prim_type=1}(%395, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]755
- %397 = FuncGraph::fg_756(%384, %396) #(Undefined, Undefined) # fg_756=▶Sub.756 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %398 = Primitive::TupleGetItem{prim_type=1}(%397, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]757
- %399 = FuncGraph::fg_459(%372, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %400 = Primitive::TupleGetItem{prim_type=1}(%399, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]758
- %401 = FuncGraph::fg_461(%400, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %402 = Primitive::TupleGetItem{prim_type=1}(%401, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]759
- %403 = FuncGraph::fg_672(%276, I64(0)) #(Undefined, Undefined) # fg_672=▶ExpandDims.672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %404 = Primitive::TupleGetItem{prim_type=1}(%403, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]760
- %405 = FuncGraph::fg_674(%404, I64(2)) #(Undefined, Undefined) # fg_674=▶ExpandDims.674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %406 = Primitive::TupleGetItem{prim_type=1}(%405, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]761
- %407 = FuncGraph::fg_676(%406, (I64(0), I64(0), I64(0)), (I64(1), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_676=▶StridedSlice.676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %408 = Primitive::TupleGetItem{prim_type=1}(%407, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]762
- %409 = FuncGraph::fg_763(%402, %408) #(Undefined, Undefined) # fg_763=▶Sub.763 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %410 = Primitive::TupleGetItem{prim_type=1}(%409, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]764
- %411 = FuncGraph::fg_459(%392, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %412 = Primitive::TupleGetItem{prim_type=1}(%411, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]765
- %413 = FuncGraph::fg_461(%412, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %414 = Primitive::TupleGetItem{prim_type=1}(%413, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]766
- %415 = FuncGraph::fg_672(%292, I64(0)) #(Undefined, Undefined) # fg_672=▶ExpandDims.672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %416 = Primitive::TupleGetItem{prim_type=1}(%415, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]767
- %417 = FuncGraph::fg_674(%416, I64(2)) #(Undefined, Undefined) # fg_674=▶ExpandDims.674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %418 = Primitive::TupleGetItem{prim_type=1}(%417, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]768
- %419 = FuncGraph::fg_676(%418, (I64(0), I64(0), I64(0)), (I64(1), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_676=▶StridedSlice.676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %420 = Primitive::TupleGetItem{prim_type=1}(%419, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]769
- %421 = FuncGraph::fg_770(%414, %420) #(Undefined, Undefined) # fg_770=▶Sub.770 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %422 = Primitive::TupleGetItem{prim_type=1}(%421, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]771
- %423 = MakeTupleGradient::make_tuple_gradient(%378, %398, %410, %422) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲[CNode]565
- %424 = Primitive::TupleGetItem{prim_type=1}(%423, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]772
- %425 = FuncGraph::fg_773(%424) #(Undefined) # fg_773=▶Stack.773 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲c_ltrb_off
- %426 = Primitive::TupleGetItem{prim_type=1}(%425, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]774
- %427 = FuncGraph::fg_718(%426, (I64(3))) #(Undefined, Undefined) # fg_718=▶ReduceMax.718 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %428 = Primitive::TupleGetItem{prim_type=1}(%427, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]775
- %429 = FuncGraph::fg_776(%428, Tensor(43)[]) #(Undefined, Undefined) # fg_776=▶Less.776 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_impl.py(54)/ return F.tensor_lt(x, y)/#▲[CNode]571
- %430 = Primitive::TupleGetItem{prim_type=1}(%429, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]777
- %431 = FuncGraph::fg_778(%430, I32) #(Undefined, Undefined) # fg_778=▶Cast.778 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(189)/ tempmaskcenter = ops.Cast()(mask_center,mindspore.int32)/#▲tempmaskcenter
- %432 = Primitive::TupleGetItem{prim_type=1}(%431, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]779
- %433 = FuncGraph::fg_780(%358, %432) #(Undefined, Undefined) # fg_780=▶Mul.780 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲mask_pos
- %434 = Primitive::TupleGetItem{prim_type=1}(%433, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]781
- %435 = FuncGraph::fg_782(%434, F16) #(Undefined, Undefined) # fg_782=▶Cast.782 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(233)/ mask_pos_2 = ops.Cast()(mask_pos,mstype.float16)/#▲mask_pos_2
- %436 = Primitive::TupleGetItem{prim_type=1}(%435, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]783
- %437 = FuncGraph::fg_784(%436, I64(-1)) #(Undefined, Undefined) # fg_784=▶ReduceSum.784 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(234)/ mask_pos_2 = ops.ReduceSum()(mask_pos_2, -1)/#▲mask_pos_2
- %438 = Primitive::TupleGetItem{prim_type=1}(%437, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]785
- %439 = FuncGraph::fg_786(%438, Tensor(42)[]) #(Undefined, Undefined) # fg_786=▶GreaterEqual.786 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_equal_impl.py(54)/ return F.tensor_ge(x, y)/#▲[CNode]582
- %440 = Primitive::TupleGetItem{prim_type=1}(%439, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]787
- %441 = FuncGraph::fg_788(%440, I64(2)) #(Undefined, Undefined) # fg_788=▶ExpandDims.788 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(250)/ tempmask += (mask_pos_2,)/#▲Φmask_pos_2
- %442 = Primitive::TupleGetItem{prim_type=1}(%441, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]789
- %443 = FuncGraph::fg_790(%442) #(Undefined) # fg_790=▶LogicalNot.790 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(244)/ cls_targets[~mask_pos_2] = 0 # [batch_size,h*w,1]/#▲[CNode]587
- %444 = Primitive::TupleGetItem{prim_type=1}(%443, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]791
- %445 = FuncGraph::fg_589(%para749, I64(1)) #(Tensor(I64)[4, 90], Undefined) # fg_589=▶ExpandDims.589 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %446 = Primitive::TupleGetItem{prim_type=1}(%445, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]792
- %447 = FuncGraph::fg_591(%446, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_591=▶StridedSlice.591 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %448 = Primitive::TupleGetItem{prim_type=1}(%447, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]793
- %449 = FuncGraph::fg_794(%448, (I64(1), I64(7056), I64(1))) #(Undefined, Undefined) # fg_794=▶Tile.794 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/utils.py(87)/ return F.tile(x, size)/#▲[CNode]594
- %450 = Primitive::TupleGetItem{prim_type=1}(%449, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]795
- %451 = FuncGraph::fg_796(%450, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_796=▶Reshape.796 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %452 = Primitive::TupleGetItem{prim_type=1}(%451, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]797
- %453 = FuncGraph::fg_798(%434, Bool) #(Undefined, Undefined) # fg_798=▶Cast.798 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(193)/ mask_pos = ops.Cast()(mask_pos, mstype.bool_)/#▲mask_pos
- %454 = Primitive::TupleGetItem{prim_type=1}(%453, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]799
- %455 = FuncGraph::fg_800(%454) #(Undefined) # fg_800=▶LogicalNot.800 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(195)/ areas[~mask_pos] = 99999999/#▲[CNode]601
- %456 = Primitive::TupleGetItem{prim_type=1}(%455, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]801
- %457 = FuncGraph::fg_802(%338, (I64(0), I64(0), I64(0), I64(0)), (I64(4), I64(7056), I64(90), I64(1)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_802=▶StridedSlice.802 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %458 = Primitive::TupleGetItem{prim_type=1}(%457, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]803
- %459 = FuncGraph::fg_804(%338, (I64(0), I64(0), I64(0), I64(2)), (I64(4), I64(7056), I64(90), I64(3)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_804=▶StridedSlice.804 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %460 = Primitive::TupleGetItem{prim_type=1}(%459, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]805
- %461 = FuncGraph::fg_806(%458, %460) #(Undefined, Undefined) # fg_806=▶Add.806 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %462 = Primitive::TupleGetItem{prim_type=1}(%461, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]807
- %463 = FuncGraph::fg_808(%338, (I64(0), I64(0), I64(0), I64(1)), (I64(4), I64(7056), I64(90), I64(2)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_808=▶StridedSlice.808 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %464 = Primitive::TupleGetItem{prim_type=1}(%463, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]809
- %465 = FuncGraph::fg_810(%338, (I64(0), I64(0), I64(0), I64(3)), (I64(4), I64(7056), I64(90), I64(4)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_810=▶StridedSlice.810 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %466 = Primitive::TupleGetItem{prim_type=1}(%465, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]811
- %467 = FuncGraph::fg_812(%464, %466) #(Undefined, Undefined) # fg_812=▶Add.812 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %468 = Primitive::TupleGetItem{prim_type=1}(%467, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]813
- %469 = FuncGraph::fg_814(%462, %468) #(Undefined, Undefined) # fg_814=▶Mul.814 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %470 = Primitive::TupleGetItem{prim_type=1}(%469, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]815
- %471 = FuncGraph::fg_816(%470) #(Undefined) # fg_816=▶OnesLike.816 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %472 = Primitive::TupleGetItem{prim_type=1}(%471, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]817
- %473 = FuncGraph::fg_818(%472, Tensor(43)[]) #(Undefined, Undefined) # fg_818=▶Mul.818 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %474 = Primitive::TupleGetItem{prim_type=1}(%473, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]819
- %475 = FuncGraph::fg_820(%456, %474, %470) #(Undefined, Undefined, Undefined) # fg_820=▶Select.820 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %476 = Primitive::TupleGetItem{prim_type=1}(%475, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]821
- %477 = FuncGraph::fg_822(%476, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_822=▶Reshape.822 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %478 = Primitive::TupleGetItem{prim_type=1}(%477, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]823
- %479 = FuncGraph::fg_824(%478) #(Undefined) # fg_824=▶ArgMinWithValue.824 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(200)/ areas_min_ind = P.ArgMinWithValue(-1)(tempareas)/#▲areas_min_ind
- %480 = Primitive::TupleGetItem{prim_type=1}(%479, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]825
- %481 = FuncGraph::fg_826(%480, I64(0)) #(Undefined, Undefined) # fg_826=▶TupleGetItem.826 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]629
- %482 = Primitive::TupleGetItem{prim_type=1}(%481, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]827
- %483 = FuncGraph::fg_828(%482, I64(-1)) #(Undefined, Undefined) # fg_828=▶ExpandDims.828 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]632
- %484 = Primitive::TupleGetItem{prim_type=1}(%483, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]829
- %485 = MakeTupleGradient::make_tuple_gradient(Tensor(34)[28224, 1], %484) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]634
- %486 = Primitive::TupleGetItem{prim_type=1}(%485, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]830
- %487 = FuncGraph::fg_831(%486) #(Undefined) # fg_831=▶Concat.831 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲indices
- %488 = Primitive::TupleGetItem{prim_type=1}(%487, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]832
- %489 = FuncGraph::fg_833(%452, %488) #(Undefined, Undefined) # fg_833=▶GatherNd.833 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(213)/ cls_targets = P.GatherNd()(classes.reshape(-1, m), indices)/#▲cls_targets
- %490 = Primitive::TupleGetItem{prim_type=1}(%489, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]834
- %491 = FuncGraph::fg_835(%490, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_835=▶Reshape.835 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(214)/ cls_targets = ops.Reshape()(cls_targets,(batch_size,-1,1))/#▲cls_targets
- %492 = Primitive::TupleGetItem{prim_type=1}(%491, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]836
- %493 = FuncGraph::fg_837(%492) #(Undefined) # fg_837=▶OnesLike.837 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %494 = Primitive::TupleGetItem{prim_type=1}(%493, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]838
- %495 = FuncGraph::fg_839(%494, Tensor(35)[]) #(Undefined, Undefined) # fg_839=▶Mul.839 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %496 = Primitive::TupleGetItem{prim_type=1}(%495, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]840
- %497 = FuncGraph::fg_841(%444, %496, %492) #(Undefined, Undefined, Undefined) # fg_841=▶Select.841 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %498 = Primitive::TupleGetItem{prim_type=1}(%497, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]842
- %499 = FuncGraph::fg_843([Tensor(34)[42, 42], Tensor(34)[42, 42]], I64(1)) #(Undefined, Undefined) # fg_843=▶TupleGetItem.843 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %500 = Primitive::TupleGetItem{prim_type=1}(%499, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]844
- %501 = FuncGraph::fg_845(%500, (I64(1), I64(0))) #(Undefined, Undefined) # fg_845=▶Transpose.845 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %502 = Primitive::TupleGetItem{prim_type=1}(%501, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]846
- %503 = FuncGraph::fg_847(%502, (I64(-1))) #(Undefined, Undefined) # fg_847=▶Reshape.847 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %504 = Primitive::TupleGetItem{prim_type=1}(%503, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]848
- %505 = FuncGraph::fg_849(%504, I64(-1)) #(Undefined, Undefined) # fg_849=▶ExpandDims.849 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %506 = Primitive::TupleGetItem{prim_type=1}(%505, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]850
- %507 = FuncGraph::fg_851([Tensor(34)[42, 42], Tensor(34)[42, 42]], I64(0)) #(Undefined, Undefined) # fg_851=▶TupleGetItem.851 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %508 = Primitive::TupleGetItem{prim_type=1}(%507, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]852
- %509 = FuncGraph::fg_845(%508, (I64(1), I64(0))) #(Undefined, Undefined) # fg_845=▶Transpose.845 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %510 = Primitive::TupleGetItem{prim_type=1}(%509, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]853
- %511 = FuncGraph::fg_847(%510, (I64(-1))) #(Undefined, Undefined) # fg_847=▶Reshape.847 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %512 = Primitive::TupleGetItem{prim_type=1}(%511, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]854
- %513 = FuncGraph::fg_855(%512, I64(-1)) #(Undefined, Undefined) # fg_855=▶ExpandDims.855 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %514 = Primitive::TupleGetItem{prim_type=1}(%513, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]856
- %515 = MakeTupleGradient::make_tuple_gradient(%506, %514) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲857
- %516 = Primitive::TupleGetItem{prim_type=1}(%515, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]858
- %517 = FuncGraph::fg_859(%516) #(Undefined) # fg_859=▶Concat.859 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(434)/ return P.Concat(axis)(arrays)/#▲[CNode]441
- %518 = Primitive::TupleGetItem{prim_type=1}(%517, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]860
- %519 = FuncGraph::fg_861(%518, Tensor(34)[]) #(Undefined, Undefined) # fg_861=▶Add.861 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]444
- %520 = Primitive::TupleGetItem{prim_type=1}(%519, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]862
- %521 = FuncGraph::fg_863(%520, F32) #(Undefined, Undefined) # fg_863=▶Cast.863 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(38)/ return ops.Cast()(coords, mstype.float32)/#▲[CNode]447
- %522 = Primitive::TupleGetItem{prim_type=1}(%521, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]864
- %523 = FuncGraph::fg_865(%522, (I64(0), I64(0)), (I64(1764), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_865=▶StridedSlice.865 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %524 = Primitive::TupleGetItem{prim_type=1}(%523, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]866
- %525 = FuncGraph::fg_867(%524, I64(0)) #(Undefined, Undefined) # fg_867=▶ExpandDims.867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %526 = Primitive::TupleGetItem{prim_type=1}(%525, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]868
- %527 = FuncGraph::fg_869(%526, I64(2)) #(Undefined, Undefined) # fg_869=▶ExpandDims.869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %528 = Primitive::TupleGetItem{prim_type=1}(%527, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]870
- %529 = FuncGraph::fg_871(%528, (I64(0), I64(0), I64(0)), (I64(1), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_871=▶StridedSlice.871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %530 = Primitive::TupleGetItem{prim_type=1}(%529, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]872
- %531 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %532 = Primitive::TupleGetItem{prim_type=1}(%531, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]873
- %533 = FuncGraph::fg_459(%532, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %534 = Primitive::TupleGetItem{prim_type=1}(%533, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]874
- %535 = FuncGraph::fg_461(%534, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %536 = Primitive::TupleGetItem{prim_type=1}(%535, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]875
- %537 = FuncGraph::fg_876(%530, %536) #(Undefined, Undefined) # fg_876=▶Sub.876 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %538 = Primitive::TupleGetItem{prim_type=1}(%537, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]877
- %539 = FuncGraph::fg_878(%522, (I64(0), I64(1)), (I64(1764), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_878=▶StridedSlice.878 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %540 = Primitive::TupleGetItem{prim_type=1}(%539, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]879
- %541 = FuncGraph::fg_867(%540, I64(0)) #(Undefined, Undefined) # fg_867=▶ExpandDims.867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %542 = Primitive::TupleGetItem{prim_type=1}(%541, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]880
- %543 = FuncGraph::fg_869(%542, I64(2)) #(Undefined, Undefined) # fg_869=▶ExpandDims.869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %544 = Primitive::TupleGetItem{prim_type=1}(%543, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]881
- %545 = FuncGraph::fg_871(%544, (I64(0), I64(0), I64(0)), (I64(1), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_871=▶StridedSlice.871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %546 = Primitive::TupleGetItem{prim_type=1}(%545, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]882
- %547 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %548 = Primitive::TupleGetItem{prim_type=1}(%547, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]883
- %549 = FuncGraph::fg_459(%548, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %550 = Primitive::TupleGetItem{prim_type=1}(%549, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]884
- %551 = FuncGraph::fg_461(%550, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %552 = Primitive::TupleGetItem{prim_type=1}(%551, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]885
- %553 = FuncGraph::fg_886(%546, %552) #(Undefined, Undefined) # fg_886=▶Sub.886 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %554 = Primitive::TupleGetItem{prim_type=1}(%553, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]887
- %555 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %556 = Primitive::TupleGetItem{prim_type=1}(%555, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]888
- %557 = FuncGraph::fg_459(%556, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %558 = Primitive::TupleGetItem{prim_type=1}(%557, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]889
- %559 = FuncGraph::fg_461(%558, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %560 = Primitive::TupleGetItem{prim_type=1}(%559, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]890
- %561 = FuncGraph::fg_867(%524, I64(0)) #(Undefined, Undefined) # fg_867=▶ExpandDims.867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %562 = Primitive::TupleGetItem{prim_type=1}(%561, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]891
- %563 = FuncGraph::fg_869(%562, I64(2)) #(Undefined, Undefined) # fg_869=▶ExpandDims.869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %564 = Primitive::TupleGetItem{prim_type=1}(%563, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]892
- %565 = FuncGraph::fg_871(%564, (I64(0), I64(0), I64(0)), (I64(1), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_871=▶StridedSlice.871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %566 = Primitive::TupleGetItem{prim_type=1}(%565, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]893
- %567 = FuncGraph::fg_894(%560, %566) #(Undefined, Undefined) # fg_894=▶Sub.894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %568 = Primitive::TupleGetItem{prim_type=1}(%567, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]895
- %569 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %570 = Primitive::TupleGetItem{prim_type=1}(%569, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]896
- %571 = FuncGraph::fg_459(%570, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %572 = Primitive::TupleGetItem{prim_type=1}(%571, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]897
- %573 = FuncGraph::fg_461(%572, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %574 = Primitive::TupleGetItem{prim_type=1}(%573, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]898
- %575 = FuncGraph::fg_867(%540, I64(0)) #(Undefined, Undefined) # fg_867=▶ExpandDims.867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %576 = Primitive::TupleGetItem{prim_type=1}(%575, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]899
- %577 = FuncGraph::fg_869(%576, I64(2)) #(Undefined, Undefined) # fg_869=▶ExpandDims.869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %578 = Primitive::TupleGetItem{prim_type=1}(%577, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]900
- %579 = FuncGraph::fg_871(%578, (I64(0), I64(0), I64(0)), (I64(1), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_871=▶StridedSlice.871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %580 = Primitive::TupleGetItem{prim_type=1}(%579, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]901
- %581 = FuncGraph::fg_902(%574, %580) #(Undefined, Undefined) # fg_902=▶Sub.902 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %582 = Primitive::TupleGetItem{prim_type=1}(%581, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]903
- %583 = MakeTupleGradient::make_tuple_gradient(%538, %554, %568, %582) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲[CNode]495
- %584 = Primitive::TupleGetItem{prim_type=1}(%583, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]904
- %585 = FuncGraph::fg_905(%584) #(Undefined) # fg_905=▶Stack.905 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲ltrb_off
- %586 = Primitive::TupleGetItem{prim_type=1}(%585, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]906
- %587 = FuncGraph::fg_907(%586, (I64(3))) #(Undefined, Undefined) # fg_907=▶ReduceMin.907 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %588 = Primitive::TupleGetItem{prim_type=1}(%587, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]908
- %589 = FuncGraph::fg_909(%588, Tensor(43)[]) #(Undefined, Undefined) # fg_909=▶Greater.909 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %590 = Primitive::TupleGetItem{prim_type=1}(%589, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]910
- %591 = FuncGraph::fg_911(%590, I32) #(Undefined, Undefined) # fg_911=▶Cast.911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(187)/ tempingtboxes = ops.Cast()(mask_in_gtboxes,mindspore.int32)/#▲tempingtboxes
- %592 = Primitive::TupleGetItem{prim_type=1}(%591, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]912
- %593 = FuncGraph::fg_913(%586, (I64(3))) #(Undefined, Undefined) # fg_913=▶ReduceMax.913 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %594 = Primitive::TupleGetItem{prim_type=1}(%593, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]914
- %595 = FuncGraph::fg_915(%594, Tensor(43)[]) #(Undefined, Undefined) # fg_915=▶Greater.915 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %596 = Primitive::TupleGetItem{prim_type=1}(%595, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]916
- %597 = FuncGraph::fg_917(%596, I32) #(Undefined, Undefined) # fg_917=▶Cast.917 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(162)/ tempmin = ops.Cast()(tempmin,mindspore.int32)/#▲tempmin
- %598 = Primitive::TupleGetItem{prim_type=1}(%597, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]918
- %599 = FuncGraph::fg_919(%594, Tensor(43)[]) #(Undefined, Undefined) # fg_919=▶LessEqual.919 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_equal_impl.py(54)/ return F.tensor_le(x, y)/#▲[CNode]514
- %600 = Primitive::TupleGetItem{prim_type=1}(%599, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]920
- %601 = FuncGraph::fg_921(%600, I32) #(Undefined, Undefined) # fg_921=▶Cast.921 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(163)/ tempmax = ops.Cast()(tempmax,mindspore.int32)/#▲tempmax
- %602 = Primitive::TupleGetItem{prim_type=1}(%601, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]922
- %603 = FuncGraph::fg_923(%598, %602) #(Undefined, Undefined) # fg_923=▶Mul.923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(164)/ tempMask_in_level = ops.Mul()(tempmin,tempmax)/#▲tempMask_in_level
- %604 = Primitive::TupleGetItem{prim_type=1}(%603, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]924
- %605 = FuncGraph::fg_925(%592, %604) #(Undefined, Undefined) # fg_925=▶Mul.925 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲[CNode]521
- %606 = Primitive::TupleGetItem{prim_type=1}(%605, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]926
- %607 = FuncGraph::fg_867(%524, I64(0)) #(Undefined, Undefined) # fg_867=▶ExpandDims.867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %608 = Primitive::TupleGetItem{prim_type=1}(%607, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]927
- %609 = FuncGraph::fg_869(%608, I64(2)) #(Undefined, Undefined) # fg_869=▶ExpandDims.869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %610 = Primitive::TupleGetItem{prim_type=1}(%609, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]928
- %611 = FuncGraph::fg_871(%610, (I64(0), I64(0), I64(0)), (I64(1), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_871=▶StridedSlice.871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %612 = Primitive::TupleGetItem{prim_type=1}(%611, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]929
- %613 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %614 = Primitive::TupleGetItem{prim_type=1}(%613, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]930
- %615 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %616 = Primitive::TupleGetItem{prim_type=1}(%615, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]931
- %617 = FuncGraph::fg_932(%614, %616) #(Undefined, Undefined) # fg_932=▶Add.932 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %618 = Primitive::TupleGetItem{prim_type=1}(%617, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]933
- %619 = FuncGraph::fg_934(%618, Tensor(43)[]) #(Undefined, Undefined) # fg_934=▶RealDiv.934 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %620 = Primitive::TupleGetItem{prim_type=1}(%619, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]935
- %621 = FuncGraph::fg_459(%620, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %622 = Primitive::TupleGetItem{prim_type=1}(%621, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]936
- %623 = FuncGraph::fg_461(%622, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %624 = Primitive::TupleGetItem{prim_type=1}(%623, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]937
- %625 = FuncGraph::fg_938(%612, %624) #(Undefined, Undefined) # fg_938=▶Sub.938 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %626 = Primitive::TupleGetItem{prim_type=1}(%625, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]939
- %627 = FuncGraph::fg_867(%540, I64(0)) #(Undefined, Undefined) # fg_867=▶ExpandDims.867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %628 = Primitive::TupleGetItem{prim_type=1}(%627, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]940
- %629 = FuncGraph::fg_869(%628, I64(2)) #(Undefined, Undefined) # fg_869=▶ExpandDims.869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %630 = Primitive::TupleGetItem{prim_type=1}(%629, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]941
- %631 = FuncGraph::fg_871(%630, (I64(0), I64(0), I64(0)), (I64(1), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_871=▶StridedSlice.871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %632 = Primitive::TupleGetItem{prim_type=1}(%631, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]942
- %633 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %634 = Primitive::TupleGetItem{prim_type=1}(%633, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]943
- %635 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %636 = Primitive::TupleGetItem{prim_type=1}(%635, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]944
- %637 = FuncGraph::fg_945(%634, %636) #(Undefined, Undefined) # fg_945=▶Add.945 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %638 = Primitive::TupleGetItem{prim_type=1}(%637, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]946
- %639 = FuncGraph::fg_947(%638, Tensor(43)[]) #(Undefined, Undefined) # fg_947=▶RealDiv.947 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %640 = Primitive::TupleGetItem{prim_type=1}(%639, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]948
- %641 = FuncGraph::fg_459(%640, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %642 = Primitive::TupleGetItem{prim_type=1}(%641, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]949
- %643 = FuncGraph::fg_461(%642, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %644 = Primitive::TupleGetItem{prim_type=1}(%643, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]950
- %645 = FuncGraph::fg_951(%632, %644) #(Undefined, Undefined) # fg_951=▶Sub.951 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %646 = Primitive::TupleGetItem{prim_type=1}(%645, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]952
- %647 = FuncGraph::fg_459(%620, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %648 = Primitive::TupleGetItem{prim_type=1}(%647, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]953
- %649 = FuncGraph::fg_461(%648, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %650 = Primitive::TupleGetItem{prim_type=1}(%649, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]954
- %651 = FuncGraph::fg_867(%524, I64(0)) #(Undefined, Undefined) # fg_867=▶ExpandDims.867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %652 = Primitive::TupleGetItem{prim_type=1}(%651, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]955
- %653 = FuncGraph::fg_869(%652, I64(2)) #(Undefined, Undefined) # fg_869=▶ExpandDims.869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %654 = Primitive::TupleGetItem{prim_type=1}(%653, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]956
- %655 = FuncGraph::fg_871(%654, (I64(0), I64(0), I64(0)), (I64(1), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_871=▶StridedSlice.871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %656 = Primitive::TupleGetItem{prim_type=1}(%655, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]957
- %657 = FuncGraph::fg_958(%650, %656) #(Undefined, Undefined) # fg_958=▶Sub.958 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %658 = Primitive::TupleGetItem{prim_type=1}(%657, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]959
- %659 = FuncGraph::fg_459(%640, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %660 = Primitive::TupleGetItem{prim_type=1}(%659, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]960
- %661 = FuncGraph::fg_461(%660, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %662 = Primitive::TupleGetItem{prim_type=1}(%661, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]961
- %663 = FuncGraph::fg_867(%540, I64(0)) #(Undefined, Undefined) # fg_867=▶ExpandDims.867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %664 = Primitive::TupleGetItem{prim_type=1}(%663, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]962
- %665 = FuncGraph::fg_869(%664, I64(2)) #(Undefined, Undefined) # fg_869=▶ExpandDims.869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %666 = Primitive::TupleGetItem{prim_type=1}(%665, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]963
- %667 = FuncGraph::fg_871(%666, (I64(0), I64(0), I64(0)), (I64(1), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_871=▶StridedSlice.871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %668 = Primitive::TupleGetItem{prim_type=1}(%667, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]964
- %669 = FuncGraph::fg_965(%662, %668) #(Undefined, Undefined) # fg_965=▶Sub.965 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %670 = Primitive::TupleGetItem{prim_type=1}(%669, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]966
- %671 = MakeTupleGradient::make_tuple_gradient(%626, %646, %658, %670) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲[CNode]565
- %672 = Primitive::TupleGetItem{prim_type=1}(%671, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]967
- %673 = FuncGraph::fg_968(%672) #(Undefined) # fg_968=▶Stack.968 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲c_ltrb_off
- %674 = Primitive::TupleGetItem{prim_type=1}(%673, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]969
- %675 = FuncGraph::fg_913(%674, (I64(3))) #(Undefined, Undefined) # fg_913=▶ReduceMax.913 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %676 = Primitive::TupleGetItem{prim_type=1}(%675, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]970
- %677 = FuncGraph::fg_971(%676, Tensor(43)[]) #(Undefined, Undefined) # fg_971=▶Less.971 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_impl.py(54)/ return F.tensor_lt(x, y)/#▲[CNode]571
- %678 = Primitive::TupleGetItem{prim_type=1}(%677, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]972
- %679 = FuncGraph::fg_973(%678, I32) #(Undefined, Undefined) # fg_973=▶Cast.973 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(189)/ tempmaskcenter = ops.Cast()(mask_center,mindspore.int32)/#▲tempmaskcenter
- %680 = Primitive::TupleGetItem{prim_type=1}(%679, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]974
- %681 = FuncGraph::fg_975(%606, %680) #(Undefined, Undefined) # fg_975=▶Mul.975 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲mask_pos
- %682 = Primitive::TupleGetItem{prim_type=1}(%681, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]976
- %683 = FuncGraph::fg_977(%682, F16) #(Undefined, Undefined) # fg_977=▶Cast.977 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(233)/ mask_pos_2 = ops.Cast()(mask_pos,mstype.float16)/#▲mask_pos_2
- %684 = Primitive::TupleGetItem{prim_type=1}(%683, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]978
- %685 = FuncGraph::fg_979(%684, I64(-1)) #(Undefined, Undefined) # fg_979=▶ReduceSum.979 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(234)/ mask_pos_2 = ops.ReduceSum()(mask_pos_2, -1)/#▲mask_pos_2
- %686 = Primitive::TupleGetItem{prim_type=1}(%685, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]980
- %687 = FuncGraph::fg_981(%686, Tensor(42)[]) #(Undefined, Undefined) # fg_981=▶GreaterEqual.981 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_equal_impl.py(54)/ return F.tensor_ge(x, y)/#▲[CNode]582
- %688 = Primitive::TupleGetItem{prim_type=1}(%687, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]982
- %689 = FuncGraph::fg_983(%688, I64(2)) #(Undefined, Undefined) # fg_983=▶ExpandDims.983 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(250)/ tempmask += (mask_pos_2,)/#▲Φmask_pos_2
- %690 = Primitive::TupleGetItem{prim_type=1}(%689, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]984
- %691 = FuncGraph::fg_985(%690) #(Undefined) # fg_985=▶LogicalNot.985 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(244)/ cls_targets[~mask_pos_2] = 0 # [batch_size,h*w,1]/#▲[CNode]587
- %692 = Primitive::TupleGetItem{prim_type=1}(%691, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]986
- %693 = FuncGraph::fg_589(%para749, I64(1)) #(Tensor(I64)[4, 90], Undefined) # fg_589=▶ExpandDims.589 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %694 = Primitive::TupleGetItem{prim_type=1}(%693, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]987
- %695 = FuncGraph::fg_591(%694, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_591=▶StridedSlice.591 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %696 = Primitive::TupleGetItem{prim_type=1}(%695, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]988
- %697 = FuncGraph::fg_989(%696, (I64(1), I64(1764), I64(1))) #(Undefined, Undefined) # fg_989=▶Tile.989 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/utils.py(87)/ return F.tile(x, size)/#▲[CNode]594
- %698 = Primitive::TupleGetItem{prim_type=1}(%697, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]990
- %699 = FuncGraph::fg_991(%698, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_991=▶Reshape.991 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %700 = Primitive::TupleGetItem{prim_type=1}(%699, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]992
- %701 = FuncGraph::fg_993(%682, Bool) #(Undefined, Undefined) # fg_993=▶Cast.993 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(193)/ mask_pos = ops.Cast()(mask_pos, mstype.bool_)/#▲mask_pos
- %702 = Primitive::TupleGetItem{prim_type=1}(%701, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]994
- %703 = FuncGraph::fg_995(%702) #(Undefined) # fg_995=▶LogicalNot.995 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(195)/ areas[~mask_pos] = 99999999/#▲[CNode]601
- %704 = Primitive::TupleGetItem{prim_type=1}(%703, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]996
- %705 = FuncGraph::fg_997(%586, (I64(0), I64(0), I64(0), I64(0)), (I64(4), I64(1764), I64(90), I64(1)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_997=▶StridedSlice.997 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %706 = Primitive::TupleGetItem{prim_type=1}(%705, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]998
- %707 = FuncGraph::fg_999(%586, (I64(0), I64(0), I64(0), I64(2)), (I64(4), I64(1764), I64(90), I64(3)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_999=▶StridedSlice.999 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %708 = Primitive::TupleGetItem{prim_type=1}(%707, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1000
- %709 = FuncGraph::fg_1001(%706, %708) #(Undefined, Undefined) # fg_1001=▶Add.1001 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %710 = Primitive::TupleGetItem{prim_type=1}(%709, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1002
- %711 = FuncGraph::fg_1003(%586, (I64(0), I64(0), I64(0), I64(1)), (I64(4), I64(1764), I64(90), I64(2)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1003=▶StridedSlice.1003 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %712 = Primitive::TupleGetItem{prim_type=1}(%711, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1004
- %713 = FuncGraph::fg_1005(%586, (I64(0), I64(0), I64(0), I64(3)), (I64(4), I64(1764), I64(90), I64(4)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1005=▶StridedSlice.1005 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %714 = Primitive::TupleGetItem{prim_type=1}(%713, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1006
- %715 = FuncGraph::fg_1007(%712, %714) #(Undefined, Undefined) # fg_1007=▶Add.1007 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %716 = Primitive::TupleGetItem{prim_type=1}(%715, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1008
- %717 = FuncGraph::fg_1009(%710, %716) #(Undefined, Undefined) # fg_1009=▶Mul.1009 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %718 = Primitive::TupleGetItem{prim_type=1}(%717, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1010
- %719 = FuncGraph::fg_1011(%718) #(Undefined) # fg_1011=▶OnesLike.1011 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %720 = Primitive::TupleGetItem{prim_type=1}(%719, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1012
- %721 = FuncGraph::fg_1013(%720, Tensor(43)[]) #(Undefined, Undefined) # fg_1013=▶Mul.1013 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %722 = Primitive::TupleGetItem{prim_type=1}(%721, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1014
- %723 = FuncGraph::fg_1015(%704, %722, %718) #(Undefined, Undefined, Undefined) # fg_1015=▶Select.1015 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %724 = Primitive::TupleGetItem{prim_type=1}(%723, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1016
- %725 = FuncGraph::fg_1017(%724, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_1017=▶Reshape.1017 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %726 = Primitive::TupleGetItem{prim_type=1}(%725, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1018
- %727 = FuncGraph::fg_1019(%726) #(Undefined) # fg_1019=▶ArgMinWithValue.1019 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(200)/ areas_min_ind = P.ArgMinWithValue(-1)(tempareas)/#▲areas_min_ind
- %728 = Primitive::TupleGetItem{prim_type=1}(%727, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1020
- %729 = FuncGraph::fg_1021(%728, I64(0)) #(Undefined, Undefined) # fg_1021=▶TupleGetItem.1021 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]629
- %730 = Primitive::TupleGetItem{prim_type=1}(%729, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1022
- %731 = FuncGraph::fg_1023(%730, I64(-1)) #(Undefined, Undefined) # fg_1023=▶ExpandDims.1023 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]632
- %732 = Primitive::TupleGetItem{prim_type=1}(%731, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1024
- %733 = MakeTupleGradient::make_tuple_gradient(Tensor(34)[7056, 1], %732) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]634
- %734 = Primitive::TupleGetItem{prim_type=1}(%733, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1025
- %735 = FuncGraph::fg_1026(%734) #(Undefined) # fg_1026=▶Concat.1026 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲indices
- %736 = Primitive::TupleGetItem{prim_type=1}(%735, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1027
- %737 = FuncGraph::fg_1028(%700, %736) #(Undefined, Undefined) # fg_1028=▶GatherNd.1028 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(213)/ cls_targets = P.GatherNd()(classes.reshape(-1, m), indices)/#▲cls_targets
- %738 = Primitive::TupleGetItem{prim_type=1}(%737, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1029
- %739 = FuncGraph::fg_1030(%738, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_1030=▶Reshape.1030 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(214)/ cls_targets = ops.Reshape()(cls_targets,(batch_size,-1,1))/#▲cls_targets
- %740 = Primitive::TupleGetItem{prim_type=1}(%739, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1031
- %741 = FuncGraph::fg_1032(%740) #(Undefined) # fg_1032=▶OnesLike.1032 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %742 = Primitive::TupleGetItem{prim_type=1}(%741, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1033
- %743 = FuncGraph::fg_1034(%742, Tensor(35)[]) #(Undefined, Undefined) # fg_1034=▶Mul.1034 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %744 = Primitive::TupleGetItem{prim_type=1}(%743, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1035
- %745 = FuncGraph::fg_1036(%692, %744, %740) #(Undefined, Undefined, Undefined) # fg_1036=▶Select.1036 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %746 = Primitive::TupleGetItem{prim_type=1}(%745, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1037
- %747 = FuncGraph::fg_1038([Tensor(34)[21, 21], Tensor(34)[21, 21]], I64(1)) #(Undefined, Undefined) # fg_1038=▶TupleGetItem.1038 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %748 = Primitive::TupleGetItem{prim_type=1}(%747, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1039
- %749 = FuncGraph::fg_1040(%748, (I64(1), I64(0))) #(Undefined, Undefined) # fg_1040=▶Transpose.1040 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %750 = Primitive::TupleGetItem{prim_type=1}(%749, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1041
- %751 = FuncGraph::fg_1042(%750, (I64(-1))) #(Undefined, Undefined) # fg_1042=▶Reshape.1042 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %752 = Primitive::TupleGetItem{prim_type=1}(%751, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1043
- %753 = FuncGraph::fg_1044(%752, I64(-1)) #(Undefined, Undefined) # fg_1044=▶ExpandDims.1044 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %754 = Primitive::TupleGetItem{prim_type=1}(%753, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1045
- %755 = FuncGraph::fg_1046([Tensor(34)[21, 21], Tensor(34)[21, 21]], I64(0)) #(Undefined, Undefined) # fg_1046=▶TupleGetItem.1046 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %756 = Primitive::TupleGetItem{prim_type=1}(%755, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1047
- %757 = FuncGraph::fg_1040(%756, (I64(1), I64(0))) #(Undefined, Undefined) # fg_1040=▶Transpose.1040 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %758 = Primitive::TupleGetItem{prim_type=1}(%757, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1048
- %759 = FuncGraph::fg_1042(%758, (I64(-1))) #(Undefined, Undefined) # fg_1042=▶Reshape.1042 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %760 = Primitive::TupleGetItem{prim_type=1}(%759, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1049
- %761 = FuncGraph::fg_1050(%760, I64(-1)) #(Undefined, Undefined) # fg_1050=▶ExpandDims.1050 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %762 = Primitive::TupleGetItem{prim_type=1}(%761, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1051
- %763 = MakeTupleGradient::make_tuple_gradient(%754, %762) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲1052
- %764 = Primitive::TupleGetItem{prim_type=1}(%763, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1053
- %765 = FuncGraph::fg_1054(%764) #(Undefined) # fg_1054=▶Concat.1054 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(434)/ return P.Concat(axis)(arrays)/#▲[CNode]441
- %766 = Primitive::TupleGetItem{prim_type=1}(%765, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1055
- %767 = FuncGraph::fg_1056(%766, Tensor(34)[]) #(Undefined, Undefined) # fg_1056=▶Add.1056 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]444
- %768 = Primitive::TupleGetItem{prim_type=1}(%767, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1057
- %769 = FuncGraph::fg_1058(%768, F32) #(Undefined, Undefined) # fg_1058=▶Cast.1058 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(38)/ return ops.Cast()(coords, mstype.float32)/#▲[CNode]447
- %770 = Primitive::TupleGetItem{prim_type=1}(%769, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1059
- %771 = FuncGraph::fg_1060(%770, (I64(0), I64(0)), (I64(441), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1060=▶StridedSlice.1060 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %772 = Primitive::TupleGetItem{prim_type=1}(%771, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1061
- %773 = FuncGraph::fg_1062(%772, I64(0)) #(Undefined, Undefined) # fg_1062=▶ExpandDims.1062 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %774 = Primitive::TupleGetItem{prim_type=1}(%773, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1063
- %775 = FuncGraph::fg_1064(%774, I64(2)) #(Undefined, Undefined) # fg_1064=▶ExpandDims.1064 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %776 = Primitive::TupleGetItem{prim_type=1}(%775, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1065
- %777 = FuncGraph::fg_1066(%776, (I64(0), I64(0), I64(0)), (I64(1), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1066=▶StridedSlice.1066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %778 = Primitive::TupleGetItem{prim_type=1}(%777, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1067
- %779 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %780 = Primitive::TupleGetItem{prim_type=1}(%779, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1068
- %781 = FuncGraph::fg_459(%780, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %782 = Primitive::TupleGetItem{prim_type=1}(%781, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1069
- %783 = FuncGraph::fg_461(%782, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %784 = Primitive::TupleGetItem{prim_type=1}(%783, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1070
- %785 = FuncGraph::fg_1071(%778, %784) #(Undefined, Undefined) # fg_1071=▶Sub.1071 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %786 = Primitive::TupleGetItem{prim_type=1}(%785, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1072
- %787 = FuncGraph::fg_1073(%770, (I64(0), I64(1)), (I64(441), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1073=▶StridedSlice.1073 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %788 = Primitive::TupleGetItem{prim_type=1}(%787, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1074
- %789 = FuncGraph::fg_1062(%788, I64(0)) #(Undefined, Undefined) # fg_1062=▶ExpandDims.1062 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %790 = Primitive::TupleGetItem{prim_type=1}(%789, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1075
- %791 = FuncGraph::fg_1064(%790, I64(2)) #(Undefined, Undefined) # fg_1064=▶ExpandDims.1064 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %792 = Primitive::TupleGetItem{prim_type=1}(%791, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1076
- %793 = FuncGraph::fg_1066(%792, (I64(0), I64(0), I64(0)), (I64(1), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1066=▶StridedSlice.1066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %794 = Primitive::TupleGetItem{prim_type=1}(%793, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1077
- %795 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %796 = Primitive::TupleGetItem{prim_type=1}(%795, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1078
- %797 = FuncGraph::fg_459(%796, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %798 = Primitive::TupleGetItem{prim_type=1}(%797, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1079
- %799 = FuncGraph::fg_461(%798, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %800 = Primitive::TupleGetItem{prim_type=1}(%799, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1080
- %801 = FuncGraph::fg_1081(%794, %800) #(Undefined, Undefined) # fg_1081=▶Sub.1081 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %802 = Primitive::TupleGetItem{prim_type=1}(%801, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1082
- %803 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %804 = Primitive::TupleGetItem{prim_type=1}(%803, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1083
- %805 = FuncGraph::fg_459(%804, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %806 = Primitive::TupleGetItem{prim_type=1}(%805, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1084
- %807 = FuncGraph::fg_461(%806, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %808 = Primitive::TupleGetItem{prim_type=1}(%807, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1085
- %809 = FuncGraph::fg_1062(%772, I64(0)) #(Undefined, Undefined) # fg_1062=▶ExpandDims.1062 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %810 = Primitive::TupleGetItem{prim_type=1}(%809, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1086
- %811 = FuncGraph::fg_1064(%810, I64(2)) #(Undefined, Undefined) # fg_1064=▶ExpandDims.1064 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %812 = Primitive::TupleGetItem{prim_type=1}(%811, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1087
- %813 = FuncGraph::fg_1066(%812, (I64(0), I64(0), I64(0)), (I64(1), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1066=▶StridedSlice.1066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %814 = Primitive::TupleGetItem{prim_type=1}(%813, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1088
- %815 = FuncGraph::fg_1089(%808, %814) #(Undefined, Undefined) # fg_1089=▶Sub.1089 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %816 = Primitive::TupleGetItem{prim_type=1}(%815, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1090
- %817 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %818 = Primitive::TupleGetItem{prim_type=1}(%817, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1091
- %819 = FuncGraph::fg_459(%818, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %820 = Primitive::TupleGetItem{prim_type=1}(%819, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1092
- %821 = FuncGraph::fg_461(%820, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %822 = Primitive::TupleGetItem{prim_type=1}(%821, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1093
- %823 = FuncGraph::fg_1062(%788, I64(0)) #(Undefined, Undefined) # fg_1062=▶ExpandDims.1062 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %824 = Primitive::TupleGetItem{prim_type=1}(%823, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1094
- %825 = FuncGraph::fg_1064(%824, I64(2)) #(Undefined, Undefined) # fg_1064=▶ExpandDims.1064 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %826 = Primitive::TupleGetItem{prim_type=1}(%825, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1095
- %827 = FuncGraph::fg_1066(%826, (I64(0), I64(0), I64(0)), (I64(1), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1066=▶StridedSlice.1066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %828 = Primitive::TupleGetItem{prim_type=1}(%827, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1096
- %829 = FuncGraph::fg_1097(%822, %828) #(Undefined, Undefined) # fg_1097=▶Sub.1097 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %830 = Primitive::TupleGetItem{prim_type=1}(%829, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1098
- %831 = MakeTupleGradient::make_tuple_gradient(%786, %802, %816, %830) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲[CNode]495
- %832 = Primitive::TupleGetItem{prim_type=1}(%831, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1099
- %833 = FuncGraph::fg_1100(%832) #(Undefined) # fg_1100=▶Stack.1100 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲ltrb_off
- %834 = Primitive::TupleGetItem{prim_type=1}(%833, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1101
- %835 = FuncGraph::fg_1102(%834, (I64(3))) #(Undefined, Undefined) # fg_1102=▶ReduceMin.1102 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %836 = Primitive::TupleGetItem{prim_type=1}(%835, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1103
- %837 = FuncGraph::fg_1104(%836, Tensor(43)[]) #(Undefined, Undefined) # fg_1104=▶Greater.1104 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %838 = Primitive::TupleGetItem{prim_type=1}(%837, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1105
- %839 = FuncGraph::fg_1106(%838, I32) #(Undefined, Undefined) # fg_1106=▶Cast.1106 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(187)/ tempingtboxes = ops.Cast()(mask_in_gtboxes,mindspore.int32)/#▲tempingtboxes
- %840 = Primitive::TupleGetItem{prim_type=1}(%839, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1107
- %841 = FuncGraph::fg_1108(%834, (I64(3))) #(Undefined, Undefined) # fg_1108=▶ReduceMax.1108 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %842 = Primitive::TupleGetItem{prim_type=1}(%841, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1109
- %843 = FuncGraph::fg_1110(%842, Tensor(43)[]) #(Undefined, Undefined) # fg_1110=▶Greater.1110 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %844 = Primitive::TupleGetItem{prim_type=1}(%843, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1111
- %845 = FuncGraph::fg_1112(%844, I32) #(Undefined, Undefined) # fg_1112=▶Cast.1112 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(162)/ tempmin = ops.Cast()(tempmin,mindspore.int32)/#▲tempmin
- %846 = Primitive::TupleGetItem{prim_type=1}(%845, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1113
- %847 = FuncGraph::fg_1114(%842, Tensor(43)[]) #(Undefined, Undefined) # fg_1114=▶LessEqual.1114 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_equal_impl.py(54)/ return F.tensor_le(x, y)/#▲[CNode]514
- %848 = Primitive::TupleGetItem{prim_type=1}(%847, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1115
- %849 = FuncGraph::fg_1116(%848, I32) #(Undefined, Undefined) # fg_1116=▶Cast.1116 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(163)/ tempmax = ops.Cast()(tempmax,mindspore.int32)/#▲tempmax
- %850 = Primitive::TupleGetItem{prim_type=1}(%849, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1117
- %851 = FuncGraph::fg_1118(%846, %850) #(Undefined, Undefined) # fg_1118=▶Mul.1118 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(164)/ tempMask_in_level = ops.Mul()(tempmin,tempmax)/#▲tempMask_in_level
- %852 = Primitive::TupleGetItem{prim_type=1}(%851, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1119
- %853 = FuncGraph::fg_1120(%840, %852) #(Undefined, Undefined) # fg_1120=▶Mul.1120 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲[CNode]521
- %854 = Primitive::TupleGetItem{prim_type=1}(%853, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1121
- %855 = FuncGraph::fg_1062(%772, I64(0)) #(Undefined, Undefined) # fg_1062=▶ExpandDims.1062 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %856 = Primitive::TupleGetItem{prim_type=1}(%855, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1122
- %857 = FuncGraph::fg_1064(%856, I64(2)) #(Undefined, Undefined) # fg_1064=▶ExpandDims.1064 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %858 = Primitive::TupleGetItem{prim_type=1}(%857, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1123
- %859 = FuncGraph::fg_1066(%858, (I64(0), I64(0), I64(0)), (I64(1), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1066=▶StridedSlice.1066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %860 = Primitive::TupleGetItem{prim_type=1}(%859, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1124
- %861 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %862 = Primitive::TupleGetItem{prim_type=1}(%861, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1125
- %863 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %864 = Primitive::TupleGetItem{prim_type=1}(%863, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1126
- %865 = FuncGraph::fg_1127(%862, %864) #(Undefined, Undefined) # fg_1127=▶Add.1127 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %866 = Primitive::TupleGetItem{prim_type=1}(%865, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1128
- %867 = FuncGraph::fg_1129(%866, Tensor(43)[]) #(Undefined, Undefined) # fg_1129=▶RealDiv.1129 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %868 = Primitive::TupleGetItem{prim_type=1}(%867, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1130
- %869 = FuncGraph::fg_459(%868, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %870 = Primitive::TupleGetItem{prim_type=1}(%869, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1131
- %871 = FuncGraph::fg_461(%870, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %872 = Primitive::TupleGetItem{prim_type=1}(%871, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1132
- %873 = FuncGraph::fg_1133(%860, %872) #(Undefined, Undefined) # fg_1133=▶Sub.1133 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %874 = Primitive::TupleGetItem{prim_type=1}(%873, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1134
- %875 = FuncGraph::fg_1062(%788, I64(0)) #(Undefined, Undefined) # fg_1062=▶ExpandDims.1062 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %876 = Primitive::TupleGetItem{prim_type=1}(%875, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1135
- %877 = FuncGraph::fg_1064(%876, I64(2)) #(Undefined, Undefined) # fg_1064=▶ExpandDims.1064 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %878 = Primitive::TupleGetItem{prim_type=1}(%877, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1136
- %879 = FuncGraph::fg_1066(%878, (I64(0), I64(0), I64(0)), (I64(1), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1066=▶StridedSlice.1066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %880 = Primitive::TupleGetItem{prim_type=1}(%879, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1137
- %881 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %882 = Primitive::TupleGetItem{prim_type=1}(%881, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1138
- %883 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %884 = Primitive::TupleGetItem{prim_type=1}(%883, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1139
- %885 = FuncGraph::fg_1140(%882, %884) #(Undefined, Undefined) # fg_1140=▶Add.1140 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %886 = Primitive::TupleGetItem{prim_type=1}(%885, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1141
- %887 = FuncGraph::fg_1142(%886, Tensor(43)[]) #(Undefined, Undefined) # fg_1142=▶RealDiv.1142 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %888 = Primitive::TupleGetItem{prim_type=1}(%887, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1143
- %889 = FuncGraph::fg_459(%888, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %890 = Primitive::TupleGetItem{prim_type=1}(%889, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1144
- %891 = FuncGraph::fg_461(%890, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %892 = Primitive::TupleGetItem{prim_type=1}(%891, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1145
- %893 = FuncGraph::fg_1146(%880, %892) #(Undefined, Undefined) # fg_1146=▶Sub.1146 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %894 = Primitive::TupleGetItem{prim_type=1}(%893, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1147
- %895 = FuncGraph::fg_459(%868, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %896 = Primitive::TupleGetItem{prim_type=1}(%895, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1148
- %897 = FuncGraph::fg_461(%896, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %898 = Primitive::TupleGetItem{prim_type=1}(%897, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1149
- %899 = FuncGraph::fg_1062(%772, I64(0)) #(Undefined, Undefined) # fg_1062=▶ExpandDims.1062 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %900 = Primitive::TupleGetItem{prim_type=1}(%899, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1150
- %901 = FuncGraph::fg_1064(%900, I64(2)) #(Undefined, Undefined) # fg_1064=▶ExpandDims.1064 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %902 = Primitive::TupleGetItem{prim_type=1}(%901, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1151
- %903 = FuncGraph::fg_1066(%902, (I64(0), I64(0), I64(0)), (I64(1), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1066=▶StridedSlice.1066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %904 = Primitive::TupleGetItem{prim_type=1}(%903, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1152
- %905 = FuncGraph::fg_1153(%898, %904) #(Undefined, Undefined) # fg_1153=▶Sub.1153 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %906 = Primitive::TupleGetItem{prim_type=1}(%905, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1154
- %907 = FuncGraph::fg_459(%888, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %908 = Primitive::TupleGetItem{prim_type=1}(%907, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1155
- %909 = FuncGraph::fg_461(%908, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %910 = Primitive::TupleGetItem{prim_type=1}(%909, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1156
- %911 = FuncGraph::fg_1062(%788, I64(0)) #(Undefined, Undefined) # fg_1062=▶ExpandDims.1062 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %912 = Primitive::TupleGetItem{prim_type=1}(%911, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1157
- %913 = FuncGraph::fg_1064(%912, I64(2)) #(Undefined, Undefined) # fg_1064=▶ExpandDims.1064 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %914 = Primitive::TupleGetItem{prim_type=1}(%913, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1158
- %915 = FuncGraph::fg_1066(%914, (I64(0), I64(0), I64(0)), (I64(1), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1066=▶StridedSlice.1066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %916 = Primitive::TupleGetItem{prim_type=1}(%915, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1159
- %917 = FuncGraph::fg_1160(%910, %916) #(Undefined, Undefined) # fg_1160=▶Sub.1160 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %918 = Primitive::TupleGetItem{prim_type=1}(%917, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1161
- %919 = MakeTupleGradient::make_tuple_gradient(%874, %894, %906, %918) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲[CNode]565
- %920 = Primitive::TupleGetItem{prim_type=1}(%919, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1162
- %921 = FuncGraph::fg_1163(%920) #(Undefined) # fg_1163=▶Stack.1163 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲c_ltrb_off
- %922 = Primitive::TupleGetItem{prim_type=1}(%921, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1164
- %923 = FuncGraph::fg_1108(%922, (I64(3))) #(Undefined, Undefined) # fg_1108=▶ReduceMax.1108 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %924 = Primitive::TupleGetItem{prim_type=1}(%923, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1165
- %925 = FuncGraph::fg_1166(%924, Tensor(43)[]) #(Undefined, Undefined) # fg_1166=▶Less.1166 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_impl.py(54)/ return F.tensor_lt(x, y)/#▲[CNode]571
- %926 = Primitive::TupleGetItem{prim_type=1}(%925, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1167
- %927 = FuncGraph::fg_1168(%926, I32) #(Undefined, Undefined) # fg_1168=▶Cast.1168 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(189)/ tempmaskcenter = ops.Cast()(mask_center,mindspore.int32)/#▲tempmaskcenter
- %928 = Primitive::TupleGetItem{prim_type=1}(%927, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1169
- %929 = FuncGraph::fg_1170(%854, %928) #(Undefined, Undefined) # fg_1170=▶Mul.1170 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲mask_pos
- %930 = Primitive::TupleGetItem{prim_type=1}(%929, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1171
- %931 = FuncGraph::fg_1172(%930, F16) #(Undefined, Undefined) # fg_1172=▶Cast.1172 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(233)/ mask_pos_2 = ops.Cast()(mask_pos,mstype.float16)/#▲mask_pos_2
- %932 = Primitive::TupleGetItem{prim_type=1}(%931, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1173
- %933 = FuncGraph::fg_1174(%932, I64(-1)) #(Undefined, Undefined) # fg_1174=▶ReduceSum.1174 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(234)/ mask_pos_2 = ops.ReduceSum()(mask_pos_2, -1)/#▲mask_pos_2
- %934 = Primitive::TupleGetItem{prim_type=1}(%933, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1175
- %935 = FuncGraph::fg_1176(%934, Tensor(42)[]) #(Undefined, Undefined) # fg_1176=▶GreaterEqual.1176 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_equal_impl.py(54)/ return F.tensor_ge(x, y)/#▲[CNode]582
- %936 = Primitive::TupleGetItem{prim_type=1}(%935, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1177
- %937 = FuncGraph::fg_1178(%936, I64(2)) #(Undefined, Undefined) # fg_1178=▶ExpandDims.1178 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(250)/ tempmask += (mask_pos_2,)/#▲Φmask_pos_2
- %938 = Primitive::TupleGetItem{prim_type=1}(%937, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1179
- %939 = FuncGraph::fg_1180(%938) #(Undefined) # fg_1180=▶LogicalNot.1180 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(244)/ cls_targets[~mask_pos_2] = 0 # [batch_size,h*w,1]/#▲[CNode]587
- %940 = Primitive::TupleGetItem{prim_type=1}(%939, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1181
- %941 = FuncGraph::fg_589(%para749, I64(1)) #(Tensor(I64)[4, 90], Undefined) # fg_589=▶ExpandDims.589 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %942 = Primitive::TupleGetItem{prim_type=1}(%941, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1182
- %943 = FuncGraph::fg_591(%942, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_591=▶StridedSlice.591 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %944 = Primitive::TupleGetItem{prim_type=1}(%943, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1183
- %945 = FuncGraph::fg_1184(%944, (I64(1), I64(441), I64(1))) #(Undefined, Undefined) # fg_1184=▶Tile.1184 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/utils.py(87)/ return F.tile(x, size)/#▲[CNode]594
- %946 = Primitive::TupleGetItem{prim_type=1}(%945, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1185
- %947 = FuncGraph::fg_1186(%946, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_1186=▶Reshape.1186 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %948 = Primitive::TupleGetItem{prim_type=1}(%947, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1187
- %949 = FuncGraph::fg_1188(%930, Bool) #(Undefined, Undefined) # fg_1188=▶Cast.1188 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(193)/ mask_pos = ops.Cast()(mask_pos, mstype.bool_)/#▲mask_pos
- %950 = Primitive::TupleGetItem{prim_type=1}(%949, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1189
- %951 = FuncGraph::fg_1190(%950) #(Undefined) # fg_1190=▶LogicalNot.1190 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(195)/ areas[~mask_pos] = 99999999/#▲[CNode]601
- %952 = Primitive::TupleGetItem{prim_type=1}(%951, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1191
- %953 = FuncGraph::fg_1192(%834, (I64(0), I64(0), I64(0), I64(0)), (I64(4), I64(441), I64(90), I64(1)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1192=▶StridedSlice.1192 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %954 = Primitive::TupleGetItem{prim_type=1}(%953, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1193
- %955 = FuncGraph::fg_1194(%834, (I64(0), I64(0), I64(0), I64(2)), (I64(4), I64(441), I64(90), I64(3)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1194=▶StridedSlice.1194 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %956 = Primitive::TupleGetItem{prim_type=1}(%955, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1195
- %957 = FuncGraph::fg_1196(%954, %956) #(Undefined, Undefined) # fg_1196=▶Add.1196 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %958 = Primitive::TupleGetItem{prim_type=1}(%957, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1197
- %959 = FuncGraph::fg_1198(%834, (I64(0), I64(0), I64(0), I64(1)), (I64(4), I64(441), I64(90), I64(2)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1198=▶StridedSlice.1198 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %960 = Primitive::TupleGetItem{prim_type=1}(%959, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1199
- %961 = FuncGraph::fg_1200(%834, (I64(0), I64(0), I64(0), I64(3)), (I64(4), I64(441), I64(90), I64(4)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1200=▶StridedSlice.1200 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %962 = Primitive::TupleGetItem{prim_type=1}(%961, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1201
- %963 = FuncGraph::fg_1202(%960, %962) #(Undefined, Undefined) # fg_1202=▶Add.1202 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %964 = Primitive::TupleGetItem{prim_type=1}(%963, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1203
- %965 = FuncGraph::fg_1204(%958, %964) #(Undefined, Undefined) # fg_1204=▶Mul.1204 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %966 = Primitive::TupleGetItem{prim_type=1}(%965, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1205
- %967 = FuncGraph::fg_1206(%966) #(Undefined) # fg_1206=▶OnesLike.1206 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %968 = Primitive::TupleGetItem{prim_type=1}(%967, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1207
- %969 = FuncGraph::fg_1208(%968, Tensor(43)[]) #(Undefined, Undefined) # fg_1208=▶Mul.1208 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %970 = Primitive::TupleGetItem{prim_type=1}(%969, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1209
- %971 = FuncGraph::fg_1210(%952, %970, %966) #(Undefined, Undefined, Undefined) # fg_1210=▶Select.1210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %972 = Primitive::TupleGetItem{prim_type=1}(%971, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1211
- %973 = FuncGraph::fg_1212(%972, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_1212=▶Reshape.1212 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %974 = Primitive::TupleGetItem{prim_type=1}(%973, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1213
- %975 = FuncGraph::fg_1214(%974) #(Undefined) # fg_1214=▶ArgMinWithValue.1214 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(200)/ areas_min_ind = P.ArgMinWithValue(-1)(tempareas)/#▲areas_min_ind
- %976 = Primitive::TupleGetItem{prim_type=1}(%975, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1215
- %977 = FuncGraph::fg_1216(%976, I64(0)) #(Undefined, Undefined) # fg_1216=▶TupleGetItem.1216 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]629
- %978 = Primitive::TupleGetItem{prim_type=1}(%977, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1217
- %979 = FuncGraph::fg_1218(%978, I64(-1)) #(Undefined, Undefined) # fg_1218=▶ExpandDims.1218 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]632
- %980 = Primitive::TupleGetItem{prim_type=1}(%979, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1219
- %981 = MakeTupleGradient::make_tuple_gradient(Tensor(34)[1764, 1], %980) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]634
- %982 = Primitive::TupleGetItem{prim_type=1}(%981, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1220
- %983 = FuncGraph::fg_1221(%982) #(Undefined) # fg_1221=▶Concat.1221 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲indices
- %984 = Primitive::TupleGetItem{prim_type=1}(%983, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1222
- %985 = FuncGraph::fg_1223(%948, %984) #(Undefined, Undefined) # fg_1223=▶GatherNd.1223 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(213)/ cls_targets = P.GatherNd()(classes.reshape(-1, m), indices)/#▲cls_targets
- %986 = Primitive::TupleGetItem{prim_type=1}(%985, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1224
- %987 = FuncGraph::fg_1225(%986, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_1225=▶Reshape.1225 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(214)/ cls_targets = ops.Reshape()(cls_targets,(batch_size,-1,1))/#▲cls_targets
- %988 = Primitive::TupleGetItem{prim_type=1}(%987, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1226
- %989 = FuncGraph::fg_1227(%988) #(Undefined) # fg_1227=▶OnesLike.1227 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %990 = Primitive::TupleGetItem{prim_type=1}(%989, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1228
- %991 = FuncGraph::fg_1229(%990, Tensor(35)[]) #(Undefined, Undefined) # fg_1229=▶Mul.1229 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %992 = Primitive::TupleGetItem{prim_type=1}(%991, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1230
- %993 = FuncGraph::fg_1231(%940, %992, %988) #(Undefined, Undefined, Undefined) # fg_1231=▶Select.1231 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %994 = Primitive::TupleGetItem{prim_type=1}(%993, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1232
- %995 = FuncGraph::fg_1233([Tensor(34)[11, 11], Tensor(34)[11, 11]], I64(1)) #(Undefined, Undefined) # fg_1233=▶TupleGetItem.1233 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %996 = Primitive::TupleGetItem{prim_type=1}(%995, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1234
- %997 = FuncGraph::fg_1235(%996, (I64(1), I64(0))) #(Undefined, Undefined) # fg_1235=▶Transpose.1235 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %998 = Primitive::TupleGetItem{prim_type=1}(%997, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1236
- %999 = FuncGraph::fg_1237(%998, (I64(-1))) #(Undefined, Undefined) # fg_1237=▶Reshape.1237 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %1000 = Primitive::TupleGetItem{prim_type=1}(%999, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1238
- %1001 = FuncGraph::fg_1239(%1000, I64(-1)) #(Undefined, Undefined) # fg_1239=▶ExpandDims.1239 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %1002 = Primitive::TupleGetItem{prim_type=1}(%1001, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1240
- %1003 = FuncGraph::fg_1241([Tensor(34)[11, 11], Tensor(34)[11, 11]], I64(0)) #(Undefined, Undefined) # fg_1241=▶TupleGetItem.1241 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#▲[CNode]421
- %1004 = Primitive::TupleGetItem{prim_type=1}(%1003, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1242
- %1005 = FuncGraph::fg_1235(%1004, (I64(1), I64(0))) #(Undefined, Undefined) # fg_1235=▶Transpose.1235 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(257)/ return F.transpose(x, perm)/#▲[CNode]424
- %1006 = Primitive::TupleGetItem{prim_type=1}(%1005, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1243
- %1007 = FuncGraph::fg_1237(%1006, (I64(-1))) #(Undefined, Undefined) # fg_1237=▶Reshape.1237 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %1008 = Primitive::TupleGetItem{prim_type=1}(%1007, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1244
- %1009 = FuncGraph::fg_1245(%1008, I64(-1)) #(Undefined, Undefined) # fg_1245=▶ExpandDims.1245 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(933)/ seq += (F.expand_dims(arr, axis),)/#▲[CNode]430
- %1010 = Primitive::TupleGetItem{prim_type=1}(%1009, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1246
- %1011 = MakeTupleGradient::make_tuple_gradient(%1002, %1010) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲1247
- %1012 = Primitive::TupleGetItem{prim_type=1}(%1011, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1248
- %1013 = FuncGraph::fg_1249(%1012) #(Undefined) # fg_1249=▶Concat.1249 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(434)/ return P.Concat(axis)(arrays)/#▲[CNode]441
- %1014 = Primitive::TupleGetItem{prim_type=1}(%1013, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1250
- %1015 = FuncGraph::fg_1251(%1014, Tensor(34)[]) #(Undefined, Undefined) # fg_1251=▶Add.1251 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]444
- %1016 = Primitive::TupleGetItem{prim_type=1}(%1015, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1252
- %1017 = FuncGraph::fg_1253(%1016, F32) #(Undefined, Undefined) # fg_1253=▶Cast.1253 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(38)/ return ops.Cast()(coords, mstype.float32)/#▲[CNode]447
- %1018 = Primitive::TupleGetItem{prim_type=1}(%1017, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1254
- %1019 = FuncGraph::fg_1255(%1018, (I64(0), I64(0)), (I64(121), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1255=▶StridedSlice.1255 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1020 = Primitive::TupleGetItem{prim_type=1}(%1019, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1256
- %1021 = FuncGraph::fg_1257(%1020, I64(0)) #(Undefined, Undefined) # fg_1257=▶ExpandDims.1257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1022 = Primitive::TupleGetItem{prim_type=1}(%1021, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1258
- %1023 = FuncGraph::fg_1259(%1022, I64(2)) #(Undefined, Undefined) # fg_1259=▶ExpandDims.1259 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1024 = Primitive::TupleGetItem{prim_type=1}(%1023, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1260
- %1025 = FuncGraph::fg_1261(%1024, (I64(0), I64(0), I64(0)), (I64(1), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1261=▶StridedSlice.1261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1026 = Primitive::TupleGetItem{prim_type=1}(%1025, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1262
- %1027 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1028 = Primitive::TupleGetItem{prim_type=1}(%1027, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1263
- %1029 = FuncGraph::fg_459(%1028, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1030 = Primitive::TupleGetItem{prim_type=1}(%1029, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1264
- %1031 = FuncGraph::fg_461(%1030, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1032 = Primitive::TupleGetItem{prim_type=1}(%1031, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1265
- %1033 = FuncGraph::fg_1266(%1026, %1032) #(Undefined, Undefined) # fg_1266=▶Sub.1266 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %1034 = Primitive::TupleGetItem{prim_type=1}(%1033, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1267
- %1035 = FuncGraph::fg_1268(%1018, (I64(0), I64(1)), (I64(121), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1268=▶StridedSlice.1268 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1036 = Primitive::TupleGetItem{prim_type=1}(%1035, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1269
- %1037 = FuncGraph::fg_1257(%1036, I64(0)) #(Undefined, Undefined) # fg_1257=▶ExpandDims.1257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1038 = Primitive::TupleGetItem{prim_type=1}(%1037, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1270
- %1039 = FuncGraph::fg_1259(%1038, I64(2)) #(Undefined, Undefined) # fg_1259=▶ExpandDims.1259 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1040 = Primitive::TupleGetItem{prim_type=1}(%1039, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1271
- %1041 = FuncGraph::fg_1261(%1040, (I64(0), I64(0), I64(0)), (I64(1), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1261=▶StridedSlice.1261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1042 = Primitive::TupleGetItem{prim_type=1}(%1041, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1272
- %1043 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1044 = Primitive::TupleGetItem{prim_type=1}(%1043, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1273
- %1045 = FuncGraph::fg_459(%1044, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1046 = Primitive::TupleGetItem{prim_type=1}(%1045, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1274
- %1047 = FuncGraph::fg_461(%1046, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1048 = Primitive::TupleGetItem{prim_type=1}(%1047, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1275
- %1049 = FuncGraph::fg_1276(%1042, %1048) #(Undefined, Undefined) # fg_1276=▶Sub.1276 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %1050 = Primitive::TupleGetItem{prim_type=1}(%1049, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1277
- %1051 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1052 = Primitive::TupleGetItem{prim_type=1}(%1051, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1278
- %1053 = FuncGraph::fg_459(%1052, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1054 = Primitive::TupleGetItem{prim_type=1}(%1053, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1279
- %1055 = FuncGraph::fg_461(%1054, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1056 = Primitive::TupleGetItem{prim_type=1}(%1055, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1280
- %1057 = FuncGraph::fg_1257(%1020, I64(0)) #(Undefined, Undefined) # fg_1257=▶ExpandDims.1257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1058 = Primitive::TupleGetItem{prim_type=1}(%1057, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1281
- %1059 = FuncGraph::fg_1259(%1058, I64(2)) #(Undefined, Undefined) # fg_1259=▶ExpandDims.1259 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1060 = Primitive::TupleGetItem{prim_type=1}(%1059, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1282
- %1061 = FuncGraph::fg_1261(%1060, (I64(0), I64(0), I64(0)), (I64(1), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1261=▶StridedSlice.1261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1062 = Primitive::TupleGetItem{prim_type=1}(%1061, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1283
- %1063 = FuncGraph::fg_1284(%1056, %1062) #(Undefined, Undefined) # fg_1284=▶Sub.1284 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %1064 = Primitive::TupleGetItem{prim_type=1}(%1063, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1285
- %1065 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1066 = Primitive::TupleGetItem{prim_type=1}(%1065, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1286
- %1067 = FuncGraph::fg_459(%1066, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1068 = Primitive::TupleGetItem{prim_type=1}(%1067, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1287
- %1069 = FuncGraph::fg_461(%1068, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1070 = Primitive::TupleGetItem{prim_type=1}(%1069, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1288
- %1071 = FuncGraph::fg_1257(%1036, I64(0)) #(Undefined, Undefined) # fg_1257=▶ExpandDims.1257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1072 = Primitive::TupleGetItem{prim_type=1}(%1071, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1289
- %1073 = FuncGraph::fg_1259(%1072, I64(2)) #(Undefined, Undefined) # fg_1259=▶ExpandDims.1259 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1074 = Primitive::TupleGetItem{prim_type=1}(%1073, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1290
- %1075 = FuncGraph::fg_1261(%1074, (I64(0), I64(0), I64(0)), (I64(1), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1261=▶StridedSlice.1261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1076 = Primitive::TupleGetItem{prim_type=1}(%1075, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1291
- %1077 = FuncGraph::fg_1292(%1070, %1076) #(Undefined, Undefined) # fg_1292=▶Sub.1292 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %1078 = Primitive::TupleGetItem{prim_type=1}(%1077, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1293
- %1079 = MakeTupleGradient::make_tuple_gradient(%1034, %1050, %1064, %1078) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲[CNode]495
- %1080 = Primitive::TupleGetItem{prim_type=1}(%1079, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1294
- %1081 = FuncGraph::fg_1295(%1080) #(Undefined) # fg_1295=▶Stack.1295 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(141)/ ltrb_off = ops.Stack(axis=-1)((l_off, t_off, r_off, b_off)) # [batch_size,h*w,m,4]/#▲ltrb_off
- %1082 = Primitive::TupleGetItem{prim_type=1}(%1081, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1296
- %1083 = FuncGraph::fg_1297(%1082, (I64(3))) #(Undefined, Undefined) # fg_1297=▶ReduceMin.1297 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %1084 = Primitive::TupleGetItem{prim_type=1}(%1083, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1298
- %1085 = FuncGraph::fg_1299(%1084, Tensor(43)[]) #(Undefined, Undefined) # fg_1299=▶Greater.1299 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %1086 = Primitive::TupleGetItem{prim_type=1}(%1085, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1300
- %1087 = FuncGraph::fg_1301(%1086, I32) #(Undefined, Undefined) # fg_1301=▶Cast.1301 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(187)/ tempingtboxes = ops.Cast()(mask_in_gtboxes,mindspore.int32)/#▲tempingtboxes
- %1088 = Primitive::TupleGetItem{prim_type=1}(%1087, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1302
- %1089 = FuncGraph::fg_1303(%1082, (I64(3))) #(Undefined, Undefined) # fg_1303=▶ReduceMax.1303 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %1090 = Primitive::TupleGetItem{prim_type=1}(%1089, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1304
- %1091 = FuncGraph::fg_1305(%1090, Tensor(43)[]) #(Undefined, Undefined) # fg_1305=▶Greater.1305 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %1092 = Primitive::TupleGetItem{prim_type=1}(%1091, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1306
- %1093 = FuncGraph::fg_1307(%1092, I32) #(Undefined, Undefined) # fg_1307=▶Cast.1307 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(162)/ tempmin = ops.Cast()(tempmin,mindspore.int32)/#▲tempmin
- %1094 = Primitive::TupleGetItem{prim_type=1}(%1093, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1308
- %1095 = FuncGraph::fg_1309(%1090, Tensor(43)[]) #(Undefined, Undefined) # fg_1309=▶LessEqual.1309 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_equal_impl.py(54)/ return F.tensor_le(x, y)/#▲[CNode]514
- %1096 = Primitive::TupleGetItem{prim_type=1}(%1095, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1310
- %1097 = FuncGraph::fg_1311(%1096, I32) #(Undefined, Undefined) # fg_1311=▶Cast.1311 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(163)/ tempmax = ops.Cast()(tempmax,mindspore.int32)/#▲tempmax
- %1098 = Primitive::TupleGetItem{prim_type=1}(%1097, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1312
- %1099 = FuncGraph::fg_1313(%1094, %1098) #(Undefined, Undefined) # fg_1313=▶Mul.1313 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(164)/ tempMask_in_level = ops.Mul()(tempmin,tempmax)/#▲tempMask_in_level
- %1100 = Primitive::TupleGetItem{prim_type=1}(%1099, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1314
- %1101 = FuncGraph::fg_1315(%1088, %1100) #(Undefined, Undefined) # fg_1315=▶Mul.1315 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲[CNode]521
- %1102 = Primitive::TupleGetItem{prim_type=1}(%1101, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1316
- %1103 = FuncGraph::fg_1257(%1020, I64(0)) #(Undefined, Undefined) # fg_1257=▶ExpandDims.1257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1104 = Primitive::TupleGetItem{prim_type=1}(%1103, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1317
- %1105 = FuncGraph::fg_1259(%1104, I64(2)) #(Undefined, Undefined) # fg_1259=▶ExpandDims.1259 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1106 = Primitive::TupleGetItem{prim_type=1}(%1105, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1318
- %1107 = FuncGraph::fg_1261(%1106, (I64(0), I64(0), I64(0)), (I64(1), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1261=▶StridedSlice.1261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1108 = Primitive::TupleGetItem{prim_type=1}(%1107, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1319
- %1109 = FuncGraph::fg_457(%para748, (I64(0), I64(0), I64(0)), (I64(4), I64(90), I64(1)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_457=▶StridedSlice.457 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1110 = Primitive::TupleGetItem{prim_type=1}(%1109, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1320
- %1111 = FuncGraph::fg_477(%para748, (I64(0), I64(0), I64(2)), (I64(4), I64(90), I64(3)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_477=▶StridedSlice.477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1112 = Primitive::TupleGetItem{prim_type=1}(%1111, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1321
- %1113 = FuncGraph::fg_1322(%1110, %1112) #(Undefined, Undefined) # fg_1322=▶Add.1322 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1114 = Primitive::TupleGetItem{prim_type=1}(%1113, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1323
- %1115 = FuncGraph::fg_1324(%1114, Tensor(43)[]) #(Undefined, Undefined) # fg_1324=▶RealDiv.1324 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %1116 = Primitive::TupleGetItem{prim_type=1}(%1115, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1325
- %1117 = FuncGraph::fg_459(%1116, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1118 = Primitive::TupleGetItem{prim_type=1}(%1117, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1326
- %1119 = FuncGraph::fg_461(%1118, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1120 = Primitive::TupleGetItem{prim_type=1}(%1119, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1327
- %1121 = FuncGraph::fg_1328(%1108, %1120) #(Undefined, Undefined) # fg_1328=▶Sub.1328 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %1122 = Primitive::TupleGetItem{prim_type=1}(%1121, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1329
- %1123 = FuncGraph::fg_1257(%1036, I64(0)) #(Undefined, Undefined) # fg_1257=▶ExpandDims.1257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1124 = Primitive::TupleGetItem{prim_type=1}(%1123, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1330
- %1125 = FuncGraph::fg_1259(%1124, I64(2)) #(Undefined, Undefined) # fg_1259=▶ExpandDims.1259 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1126 = Primitive::TupleGetItem{prim_type=1}(%1125, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1331
- %1127 = FuncGraph::fg_1261(%1126, (I64(0), I64(0), I64(0)), (I64(1), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1261=▶StridedSlice.1261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1128 = Primitive::TupleGetItem{prim_type=1}(%1127, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1332
- %1129 = FuncGraph::fg_471(%para748, (I64(0), I64(0), I64(1)), (I64(4), I64(90), I64(2)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_471=▶StridedSlice.471 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1130 = Primitive::TupleGetItem{prim_type=1}(%1129, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1333
- %1131 = FuncGraph::fg_486(%para748, (I64(0), I64(0), I64(3)), (I64(4), I64(90), I64(4)), (I64(1), I64(1), I64(1))) #(Tensor(F32)[4, 90, 4], Undefined, Undefined, Undefined) # fg_486=▶StridedSlice.486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1132 = Primitive::TupleGetItem{prim_type=1}(%1131, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1334
- %1133 = FuncGraph::fg_1335(%1130, %1132) #(Undefined, Undefined) # fg_1335=▶Add.1335 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1134 = Primitive::TupleGetItem{prim_type=1}(%1133, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1336
- %1135 = FuncGraph::fg_1337(%1134, Tensor(43)[]) #(Undefined, Undefined) # fg_1337=▶RealDiv.1337 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %1136 = Primitive::TupleGetItem{prim_type=1}(%1135, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1338
- %1137 = FuncGraph::fg_459(%1136, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1138 = Primitive::TupleGetItem{prim_type=1}(%1137, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1339
- %1139 = FuncGraph::fg_461(%1138, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1140 = Primitive::TupleGetItem{prim_type=1}(%1139, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1340
- %1141 = FuncGraph::fg_1341(%1128, %1140) #(Undefined, Undefined) # fg_1341=▶Sub.1341 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %1142 = Primitive::TupleGetItem{prim_type=1}(%1141, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1342
- %1143 = FuncGraph::fg_459(%1116, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1144 = Primitive::TupleGetItem{prim_type=1}(%1143, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1343
- %1145 = FuncGraph::fg_461(%1144, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1146 = Primitive::TupleGetItem{prim_type=1}(%1145, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1344
- %1147 = FuncGraph::fg_1257(%1020, I64(0)) #(Undefined, Undefined) # fg_1257=▶ExpandDims.1257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1148 = Primitive::TupleGetItem{prim_type=1}(%1147, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1345
- %1149 = FuncGraph::fg_1259(%1148, I64(2)) #(Undefined, Undefined) # fg_1259=▶ExpandDims.1259 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1150 = Primitive::TupleGetItem{prim_type=1}(%1149, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1346
- %1151 = FuncGraph::fg_1261(%1150, (I64(0), I64(0), I64(0)), (I64(1), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1261=▶StridedSlice.1261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1152 = Primitive::TupleGetItem{prim_type=1}(%1151, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1347
- %1153 = FuncGraph::fg_1348(%1146, %1152) #(Undefined, Undefined) # fg_1348=▶Sub.1348 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %1154 = Primitive::TupleGetItem{prim_type=1}(%1153, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1349
- %1155 = FuncGraph::fg_459(%1136, I64(1)) #(Undefined, Undefined) # fg_459=▶ExpandDims.459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1156 = Primitive::TupleGetItem{prim_type=1}(%1155, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1350
- %1157 = FuncGraph::fg_461(%1156, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_461=▶StridedSlice.461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1158 = Primitive::TupleGetItem{prim_type=1}(%1157, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1351
- %1159 = FuncGraph::fg_1257(%1036, I64(0)) #(Undefined, Undefined) # fg_1257=▶ExpandDims.1257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1160 = Primitive::TupleGetItem{prim_type=1}(%1159, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1352
- %1161 = FuncGraph::fg_1259(%1160, I64(2)) #(Undefined, Undefined) # fg_1259=▶ExpandDims.1259 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1162 = Primitive::TupleGetItem{prim_type=1}(%1161, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1353
- %1163 = FuncGraph::fg_1261(%1162, (I64(0), I64(0), I64(0)), (I64(1), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1261=▶StridedSlice.1261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1164 = Primitive::TupleGetItem{prim_type=1}(%1163, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1354
- %1165 = FuncGraph::fg_1355(%1158, %1164) #(Undefined, Undefined) # fg_1355=▶Sub.1355 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %1166 = Primitive::TupleGetItem{prim_type=1}(%1165, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1356
- %1167 = MakeTupleGradient::make_tuple_gradient(%1122, %1142, %1154, %1166) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲[CNode]565
- %1168 = Primitive::TupleGetItem{prim_type=1}(%1167, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1357
- %1169 = FuncGraph::fg_1358(%1168) #(Undefined) # fg_1358=▶Stack.1358 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(175)/ c_ltrb_off = ops.Stack(axis=-1)((c_l_off, c_t_off, c_r_off, c_b_off)) # [batch_size,h*w,m,4]/#▲c_ltrb_off
- %1170 = Primitive::TupleGetItem{prim_type=1}(%1169, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1359
- %1171 = FuncGraph::fg_1303(%1170, (I64(3))) #(Undefined, Undefined) # fg_1303=▶ReduceMax.1303 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(957)/ return reduce_fn(a, axes).astype(dtype)/#▲[CNode]500
- %1172 = Primitive::TupleGetItem{prim_type=1}(%1171, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1360
- %1173 = FuncGraph::fg_1361(%1172, Tensor(43)[]) #(Undefined, Undefined) # fg_1361=▶Less.1361 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/less_impl.py(54)/ return F.tensor_lt(x, y)/#▲[CNode]571
- %1174 = Primitive::TupleGetItem{prim_type=1}(%1173, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1362
- %1175 = FuncGraph::fg_1363(%1174, I32) #(Undefined, Undefined) # fg_1363=▶Cast.1363 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(189)/ tempmaskcenter = ops.Cast()(mask_center,mindspore.int32)/#▲tempmaskcenter
- %1176 = Primitive::TupleGetItem{prim_type=1}(%1175, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1364
- %1177 = FuncGraph::fg_1365(%1102, %1176) #(Undefined, Undefined) # fg_1365=▶Mul.1365 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(191)/ mask_pos = ops.Mul()(ops.Mul()(tempingtboxes,tempmaskinlevel),tempmaskcenter)/#▲mask_pos
- %1178 = Primitive::TupleGetItem{prim_type=1}(%1177, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1366
- %1179 = FuncGraph::fg_1367(%1178, F16) #(Undefined, Undefined) # fg_1367=▶Cast.1367 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(233)/ mask_pos_2 = ops.Cast()(mask_pos,mstype.float16)/#▲mask_pos_2
- %1180 = Primitive::TupleGetItem{prim_type=1}(%1179, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1368
- %1181 = FuncGraph::fg_1369(%1180, I64(-1)) #(Undefined, Undefined) # fg_1369=▶ReduceSum.1369 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(234)/ mask_pos_2 = ops.ReduceSum()(mask_pos_2, -1)/#▲mask_pos_2
- %1182 = Primitive::TupleGetItem{prim_type=1}(%1181, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1370
- %1183 = FuncGraph::fg_1371(%1182, Tensor(42)[]) #(Undefined, Undefined) # fg_1371=▶GreaterEqual.1371 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_equal_impl.py(54)/ return F.tensor_ge(x, y)/#▲[CNode]582
- %1184 = Primitive::TupleGetItem{prim_type=1}(%1183, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1372
- %1185 = FuncGraph::fg_1373(%1184, I64(2)) #(Undefined, Undefined) # fg_1373=▶ExpandDims.1373 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(250)/ tempmask += (mask_pos_2,)/#▲Φmask_pos_2
- %1186 = Primitive::TupleGetItem{prim_type=1}(%1185, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1374
- %1187 = FuncGraph::fg_1375(%1186) #(Undefined) # fg_1375=▶LogicalNot.1375 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(244)/ cls_targets[~mask_pos_2] = 0 # [batch_size,h*w,1]/#▲[CNode]587
- %1188 = Primitive::TupleGetItem{prim_type=1}(%1187, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1376
- %1189 = FuncGraph::fg_589(%para749, I64(1)) #(Tensor(I64)[4, 90], Undefined) # fg_589=▶ExpandDims.589 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(267)/ data = F.expand_dims(data, dim)/#▲data
- %1190 = Primitive::TupleGetItem{prim_type=1}(%1189, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1377
- %1191 = FuncGraph::fg_591(%1190, (I64(0), I64(0), I64(0)), (I64(4), I64(1), I64(90)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_591=▶StridedSlice.591 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1192 = Primitive::TupleGetItem{prim_type=1}(%1191, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1378
- %1193 = FuncGraph::fg_1379(%1192, (I64(1), I64(121), I64(1))) #(Undefined, Undefined) # fg_1379=▶Tile.1379 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/utils.py(87)/ return F.tile(x, size)/#▲[CNode]594
- %1194 = Primitive::TupleGetItem{prim_type=1}(%1193, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1380
- %1195 = FuncGraph::fg_1381(%1194, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_1381=▶Reshape.1381 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %1196 = Primitive::TupleGetItem{prim_type=1}(%1195, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1382
- %1197 = FuncGraph::fg_1383(%1178, Bool) #(Undefined, Undefined) # fg_1383=▶Cast.1383 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(193)/ mask_pos = ops.Cast()(mask_pos, mstype.bool_)/#▲mask_pos
- %1198 = Primitive::TupleGetItem{prim_type=1}(%1197, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1384
- %1199 = FuncGraph::fg_1385(%1198) #(Undefined) # fg_1385=▶LogicalNot.1385 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(195)/ areas[~mask_pos] = 99999999/#▲[CNode]601
- %1200 = Primitive::TupleGetItem{prim_type=1}(%1199, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1386
- %1201 = FuncGraph::fg_1387(%1082, (I64(0), I64(0), I64(0), I64(0)), (I64(4), I64(121), I64(90), I64(1)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1387=▶StridedSlice.1387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1202 = Primitive::TupleGetItem{prim_type=1}(%1201, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1388
- %1203 = FuncGraph::fg_1389(%1082, (I64(0), I64(0), I64(0), I64(2)), (I64(4), I64(121), I64(90), I64(3)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1389=▶StridedSlice.1389 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1204 = Primitive::TupleGetItem{prim_type=1}(%1203, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1390
- %1205 = FuncGraph::fg_1391(%1202, %1204) #(Undefined, Undefined) # fg_1391=▶Add.1391 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1206 = Primitive::TupleGetItem{prim_type=1}(%1205, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1392
- %1207 = FuncGraph::fg_1393(%1082, (I64(0), I64(0), I64(0), I64(1)), (I64(4), I64(121), I64(90), I64(2)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1393=▶StridedSlice.1393 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1208 = Primitive::TupleGetItem{prim_type=1}(%1207, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1394
- %1209 = FuncGraph::fg_1395(%1082, (I64(0), I64(0), I64(0), I64(3)), (I64(4), I64(121), I64(90), I64(4)), (I64(1), I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1395=▶StridedSlice.1395 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %1210 = Primitive::TupleGetItem{prim_type=1}(%1209, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1396
- %1211 = FuncGraph::fg_1397(%1208, %1210) #(Undefined, Undefined) # fg_1397=▶Add.1397 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1212 = Primitive::TupleGetItem{prim_type=1}(%1211, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1398
- %1213 = FuncGraph::fg_1399(%1206, %1212) #(Undefined, Undefined) # fg_1399=▶Mul.1399 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %1214 = Primitive::TupleGetItem{prim_type=1}(%1213, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]1400
- %1215 = FuncGraph::fg_1401(%1214) #(Undefined) # fg_1401=▶OnesLike.1401 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %1216 = Primitive::TupleGetItem{prim_type=1}(%1215, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1402
- %1217 = FuncGraph::fg_1403(%1216, Tensor(43)[]) #(Undefined, Undefined) # fg_1403=▶Mul.1403 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %1218 = Primitive::TupleGetItem{prim_type=1}(%1217, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1404
- %1219 = FuncGraph::fg_1405(%1200, %1218, %1214) #(Undefined, Undefined, Undefined) # fg_1405=▶Select.1405 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %1220 = Primitive::TupleGetItem{prim_type=1}(%1219, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1406
- %1221 = FuncGraph::fg_1407(%1220, (I64(-1), I64(90))) #(Undefined, Undefined) # fg_1407=▶Reshape.1407 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %1222 = Primitive::TupleGetItem{prim_type=1}(%1221, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1408
- %1223 = FuncGraph::fg_1409(%1222) #(Undefined) # fg_1409=▶ArgMinWithValue.1409 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(200)/ areas_min_ind = P.ArgMinWithValue(-1)(tempareas)/#▲areas_min_ind
- %1224 = Primitive::TupleGetItem{prim_type=1}(%1223, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1410
- %1225 = FuncGraph::fg_1411(%1224, I64(0)) #(Undefined, Undefined) # fg_1411=▶TupleGetItem.1411 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]629
- %1226 = Primitive::TupleGetItem{prim_type=1}(%1225, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1412
- %1227 = FuncGraph::fg_1413(%1226, I64(-1)) #(Undefined, Undefined) # fg_1413=▶ExpandDims.1413 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]632
- %1228 = Primitive::TupleGetItem{prim_type=1}(%1227, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1414
- %1229 = MakeTupleGradient::make_tuple_gradient(Tensor(34)[484, 1], %1228) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲[CNode]634
- %1230 = Primitive::TupleGetItem{prim_type=1}(%1229, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1415
- %1231 = FuncGraph::fg_1416(%1230) #(Undefined) # fg_1416=▶Concat.1416 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(204)/ indices = P.Concat(-1)((P.ExpandDims()(x, -1), P.ExpandDims()(areas_min_ind[0], -1)))/#▲indices
- %1232 = Primitive::TupleGetItem{prim_type=1}(%1231, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1417
- %1233 = FuncGraph::fg_1418(%1196, %1232) #(Undefined, Undefined) # fg_1418=▶GatherNd.1418 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(213)/ cls_targets = P.GatherNd()(classes.reshape(-1, m), indices)/#▲cls_targets
- %1234 = Primitive::TupleGetItem{prim_type=1}(%1233, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1419
- %1235 = FuncGraph::fg_1420(%1234, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_1420=▶Reshape.1420 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(214)/ cls_targets = ops.Reshape()(cls_targets,(batch_size,-1,1))/#▲cls_targets
- %1236 = Primitive::TupleGetItem{prim_type=1}(%1235, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1421
- %1237 = FuncGraph::fg_1422(%1236) #(Undefined) # fg_1422=▶OnesLike.1422 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %1238 = Primitive::TupleGetItem{prim_type=1}(%1237, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1423
- %1239 = FuncGraph::fg_1424(%1238, Tensor(35)[]) #(Undefined, Undefined) # fg_1424=▶Mul.1424 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %1240 = Primitive::TupleGetItem{prim_type=1}(%1239, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1425
- %1241 = FuncGraph::fg_1426(%1188, %1240, %1236) #(Undefined, Undefined, Undefined) # fg_1426=▶Select.1426 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %1242 = Primitive::TupleGetItem{prim_type=1}(%1241, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1427
- %1243 = MakeTupleGradient::make_tuple_gradient(%250, %498, %746, %994, %1242) #(Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲1428
- %1244 = Primitive::TupleGetItem{prim_type=1}(%1243, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1429
- %1245 = FuncGraph::fg_1430(%1244) #(Undefined) # fg_1430=▶Concat.1430 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(83)/ return ops.Concat(axis=1)(cls_targets_all_level), ops.Concat(axis=1)(cnt_targets_all_level), ops.Concat(axis=1)(/#▲[CNode]1431
- %1246 = Primitive::TupleGetItem{prim_type=1}(%1245, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]1432
- %1247 = FuncGraph::fg_1433(%1246, (I64(0), I64(0), I64(0)), (I64(1), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_1433=▶StridedSlice.1433 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %1248 = Primitive::TupleGetItem{prim_type=1}(%1247, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1435
- %1249 = FuncGraph::fg_1436(%1248, F32) #(Undefined, Undefined) # fg_1436=▶Cast.1436 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]1437
- %1250 = Primitive::TupleGetItem{prim_type=1}(%1249, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1438
- %1251 = FuncGraph::fg_1439(%2, %1250) #(Tensor(F32)[1, 80], Undefined) # fg_1439=▶Equal.1439 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]1437
- %1252 = Primitive::TupleGetItem{prim_type=1}(%1251, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1440
- %1253 = FuncGraph::fg_1441(%1252, F32) #(Undefined, Undefined) # fg_1441=▶Cast.1441 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(315)/ target_pos = ops.Cast()(target_pos, mstype.float32)/#▲target_pos
- %1254 = Primitive::TupleGetItem{prim_type=1}(%1253, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1442
- %1255 = FuncGraph::fg_1443(Tensor(43)[], %1254) #(Undefined, Undefined) # fg_1443=▶Mul.1443 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(61)/ return F.tensor_mul(x, y)/#▲[CNode]1444
- %1256 = Primitive::TupleGetItem{prim_type=1}(%1255, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1445
- %1257 = FuncGraph::fg_1446(Tensor(43)[], %1254) #(Undefined, Undefined) # fg_1446=▶Sub.1446 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %1258 = Primitive::TupleGetItem{prim_type=1}(%1257, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1448
- %1259 = FuncGraph::fg_1449(Tensor(43)[], %1258) #(Undefined, Undefined) # fg_1449=▶Mul.1449 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(61)/ return F.tensor_mul(x, y)/#▲[CNode]1444
- %1260 = Primitive::TupleGetItem{prim_type=1}(%1259, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1450
- %1261 = FuncGraph::fg_1451(%1256, %1260) #(Undefined, Undefined) # fg_1451=▶Add.1451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1262 = Primitive::TupleGetItem{prim_type=1}(%1261, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1452
- %1263 = FuncGraph::fg_1453(%1262) #(Undefined) # fg_1453=▶Neg.1453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/negative_impl.py(48)/ return F.neg_tensor(x)/#▲[CNode]1454
- %1264 = Primitive::TupleGetItem{prim_type=1}(%1263, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]1455
- %1265 = FuncGraph::fg_1456(%para2, UMonad[U]) #(Ref[Tensor(F32)][64, 3, 7, 7], Undefined) # fg_1456=▶Load.1456 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet
- # #▲[CNode]1457
- %1266 = Primitive::TupleGetItem{prim_type=1}(%1265, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet
- # #[CNode]1458
- %1267 = FuncGraph::fg_1459(%para747, %1266) #(Tensor(F32)[4, 3, 1344, 1344], Undefined) # fg_1459=▶Conv2D.1459 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1268 = Primitive::TupleGetItem{prim_type=1}(%1267, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/conv1-Conv2d
- # #[CNode]1460
- %1269 = FuncGraph::fg_1461(%para3, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1461=▶Load.1461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #▲[CNode]1462
- %1270 = Primitive::TupleGetItem{prim_type=1}(%1269, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1463
- %1271 = FuncGraph::fg_1464(%para4, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1464=▶Load.1464 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #▲[CNode]1465
- %1272 = Primitive::TupleGetItem{prim_type=1}(%1271, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1466
- %1273 = FuncGraph::fg_1467(%para641, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1467=▶Load.1467 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #▲[CNode]1468
- %1274 = Primitive::TupleGetItem{prim_type=1}(%1273, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1469
- %1275 = FuncGraph::fg_1470(%para642, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1470=▶Load.1470 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #▲[CNode]1471
- %1276 = Primitive::TupleGetItem{prim_type=1}(%1275, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1472
- %1277 = FuncGraph::fg_1473(%1268, %1270, %1272, %1274, %1276) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1473=▶BatchNorm.1473 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1474
- %1278 = Primitive::TupleGetItem{prim_type=1}(%1277, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1475
- %1279 = FuncGraph::fg_1476(%1278, I64(0)) #(Undefined, Undefined) # fg_1476=▶TupleGetItem.1476 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1280 = Primitive::TupleGetItem{prim_type=1}(%1279, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1478
- %1281 = FuncGraph::fg_1479(%1280) #(Undefined) # fg_1479=▶ReLU.1479 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet
- # In file /home/zsl_2/model/backbone/resnet.py(693)/ x = self.relu(x)//#▲x
- %1282 = Primitive::TupleGetItem{prim_type=1}(%1281, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet
- # #[CNode]1480
- %1283 = FuncGraph::fg_1481(%1282) #(Undefined) # fg_1481=▶MaxPool.1481 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/maxpool-MaxPool2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/pooling.py(140)/ out = self.max_pool(x)/#▲out
- %1284 = Primitive::TupleGetItem{prim_type=1}(%1283, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/maxpool-MaxPool2d
- # #[CNode]1482
- %1285 = FuncGraph::fg_1483(%para5, UMonad[U]) #(Ref[Tensor(F32)][64, 64, 1, 1], Undefined) # fg_1483=▶Load.1483 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1484
- %1286 = Primitive::TupleGetItem{prim_type=1}(%1285, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1485
- %1287 = FuncGraph::fg_1486(%1284, %1286) #(Undefined, Undefined) # fg_1486=▶Conv2D.1486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1288 = Primitive::TupleGetItem{prim_type=1}(%1287, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/conv1-Conv2d
- # #[CNode]1487
- %1289 = FuncGraph::fg_1488(%para6, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1488=▶Load.1488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1489
- %1290 = Primitive::TupleGetItem{prim_type=1}(%1289, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1490
- %1291 = FuncGraph::fg_1491(%para7, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1491=▶Load.1491 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1492
- %1292 = Primitive::TupleGetItem{prim_type=1}(%1291, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1493
- %1293 = FuncGraph::fg_1494(%para701, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1494=▶Load.1494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1495
- %1294 = Primitive::TupleGetItem{prim_type=1}(%1293, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1496
- %1295 = FuncGraph::fg_1497(%para702, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1497=▶Load.1497 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1498
- %1296 = Primitive::TupleGetItem{prim_type=1}(%1295, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1499
- %1297 = FuncGraph::fg_1500(%1288, %1290, %1292, %1294, %1296) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1500=▶BatchNorm.1500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1474
- %1298 = Primitive::TupleGetItem{prim_type=1}(%1297, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1501
- %1299 = FuncGraph::fg_1502(%1298, I64(0)) #(Undefined, Undefined) # fg_1502=▶TupleGetItem.1502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1300 = Primitive::TupleGetItem{prim_type=1}(%1299, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1503
- %1301 = FuncGraph::fg_1504(%1300) #(Undefined) # fg_1504=▶ReLU.1504 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1505
- %1302 = Primitive::TupleGetItem{prim_type=1}(%1301, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1506
- %1303 = FuncGraph::fg_1507(%para8, UMonad[U]) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined) # fg_1507=▶Load.1507 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1508
- %1304 = Primitive::TupleGetItem{prim_type=1}(%1303, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1509
- %1305 = FuncGraph::fg_1510(%1302, %1304) #(Undefined, Undefined) # fg_1510=▶Conv2D.1510 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1306 = Primitive::TupleGetItem{prim_type=1}(%1305, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/conv2-Conv2d
- # #[CNode]1511
- %1307 = FuncGraph::fg_1488(%para9, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1488=▶Load.1488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1489
- %1308 = Primitive::TupleGetItem{prim_type=1}(%1307, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1512
- %1309 = FuncGraph::fg_1491(%para10, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1491=▶Load.1491 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1492
- %1310 = Primitive::TupleGetItem{prim_type=1}(%1309, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1513
- %1311 = FuncGraph::fg_1494(%para677, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1494=▶Load.1494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1495
- %1312 = Primitive::TupleGetItem{prim_type=1}(%1311, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1514
- %1313 = FuncGraph::fg_1497(%para678, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1497=▶Load.1497 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1498
- %1314 = Primitive::TupleGetItem{prim_type=1}(%1313, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1515
- %1315 = FuncGraph::fg_1500(%1306, %1308, %1310, %1312, %1314) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1500=▶BatchNorm.1500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1474
- %1316 = Primitive::TupleGetItem{prim_type=1}(%1315, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1516
- %1317 = FuncGraph::fg_1502(%1316, I64(0)) #(Undefined, Undefined) # fg_1502=▶TupleGetItem.1502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1318 = Primitive::TupleGetItem{prim_type=1}(%1317, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1517
- %1319 = FuncGraph::fg_1504(%1318) #(Undefined) # fg_1504=▶ReLU.1504 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1505
- %1320 = Primitive::TupleGetItem{prim_type=1}(%1319, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1518
- %1321 = FuncGraph::fg_1519(%para11, UMonad[U]) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined) # fg_1519=▶Load.1519 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1520
- %1322 = Primitive::TupleGetItem{prim_type=1}(%1321, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1521
- %1323 = FuncGraph::fg_1522(%1320, %1322) #(Undefined, Undefined) # fg_1522=▶Conv2D.1522 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1324 = Primitive::TupleGetItem{prim_type=1}(%1323, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/conv3-Conv2d
- # #[CNode]1523
- %1325 = FuncGraph::fg_1524(%para12, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1524=▶Load.1524 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1525
- %1326 = Primitive::TupleGetItem{prim_type=1}(%1325, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1526
- %1327 = FuncGraph::fg_1527(%para13, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1527=▶Load.1527 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1528
- %1328 = Primitive::TupleGetItem{prim_type=1}(%1327, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1529
- %1329 = FuncGraph::fg_1530(%para733, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1530=▶Load.1530 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1531
- %1330 = Primitive::TupleGetItem{prim_type=1}(%1329, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1532
- %1331 = FuncGraph::fg_1533(%para734, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1533=▶Load.1533 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #▲[CNode]1534
- %1332 = Primitive::TupleGetItem{prim_type=1}(%1331, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1535
- %1333 = FuncGraph::fg_1536(%1324, %1326, %1328, %1330, %1332) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1536=▶BatchNorm.1536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1334 = Primitive::TupleGetItem{prim_type=1}(%1333, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1538
- %1335 = FuncGraph::fg_1539(%1334, I64(0)) #(Undefined, Undefined) # fg_1539=▶TupleGetItem.1539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1336 = Primitive::TupleGetItem{prim_type=1}(%1335, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1540
- %1337 = FuncGraph::fg_1541(%para14, UMonad[U]) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined) # fg_1541=▶Load.1541 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1542
- %1338 = Primitive::TupleGetItem{prim_type=1}(%1337, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1543
- %1339 = FuncGraph::fg_1544(%1284, %1338) #(Undefined, Undefined) # fg_1544=▶Conv2D.1544 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1340 = Primitive::TupleGetItem{prim_type=1}(%1339, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell/0-Conv2d
- # #[CNode]1545
- %1341 = FuncGraph::fg_1524(%para15, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1524=▶Load.1524 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1525
- %1342 = Primitive::TupleGetItem{prim_type=1}(%1341, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1546
- %1343 = FuncGraph::fg_1527(%para16, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1527=▶Load.1527 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1528
- %1344 = Primitive::TupleGetItem{prim_type=1}(%1343, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1547
- %1345 = FuncGraph::fg_1530(%para745, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1530=▶Load.1530 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1531
- %1346 = Primitive::TupleGetItem{prim_type=1}(%1345, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1548
- %1347 = FuncGraph::fg_1533(%para746, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1533=▶Load.1533 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1534
- %1348 = Primitive::TupleGetItem{prim_type=1}(%1347, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1549
- %1349 = FuncGraph::fg_1536(%1340, %1342, %1344, %1346, %1348) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1536=▶BatchNorm.1536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1350 = Primitive::TupleGetItem{prim_type=1}(%1349, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1550
- %1351 = FuncGraph::fg_1539(%1350, I64(0)) #(Undefined, Undefined) # fg_1539=▶TupleGetItem.1539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1352 = Primitive::TupleGetItem{prim_type=1}(%1351, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1551
- %1353 = FuncGraph::fg_1552(%1336, %1352) #(Undefined, Undefined) # fg_1552=▶Add.1552 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1354 = Primitive::TupleGetItem{prim_type=1}(%1353, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1553
- %1355 = FuncGraph::fg_1554(%1354) #(Undefined) # fg_1554=▶ReLU.1554 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1505
- %1356 = Primitive::TupleGetItem{prim_type=1}(%1355, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1555
- %1357 = FuncGraph::fg_1556(%para17, UMonad[U]) #(Ref[Tensor(F32)][64, 256, 1, 1], Undefined) # fg_1556=▶Load.1556 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1557
- %1358 = Primitive::TupleGetItem{prim_type=1}(%1357, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1558
- %1359 = FuncGraph::fg_1559(%1356, %1358) #(Undefined, Undefined) # fg_1559=▶Conv2D.1559 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1360 = Primitive::TupleGetItem{prim_type=1}(%1359, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/conv1-Conv2d
- # #[CNode]1560
- %1361 = FuncGraph::fg_1488(%para18, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1488=▶Load.1488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1489
- %1362 = Primitive::TupleGetItem{prim_type=1}(%1361, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1561
- %1363 = FuncGraph::fg_1491(%para19, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1491=▶Load.1491 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1492
- %1364 = Primitive::TupleGetItem{prim_type=1}(%1363, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1562
- %1365 = FuncGraph::fg_1494(%para703, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1494=▶Load.1494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1495
- %1366 = Primitive::TupleGetItem{prim_type=1}(%1365, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1563
- %1367 = FuncGraph::fg_1497(%para704, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1497=▶Load.1497 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1498
- %1368 = Primitive::TupleGetItem{prim_type=1}(%1367, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1564
- %1369 = FuncGraph::fg_1500(%1360, %1362, %1364, %1366, %1368) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1500=▶BatchNorm.1500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1474
- %1370 = Primitive::TupleGetItem{prim_type=1}(%1369, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1565
- %1371 = FuncGraph::fg_1502(%1370, I64(0)) #(Undefined, Undefined) # fg_1502=▶TupleGetItem.1502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1372 = Primitive::TupleGetItem{prim_type=1}(%1371, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1566
- %1373 = FuncGraph::fg_1567(%1372) #(Undefined) # fg_1567=▶ReLU.1567 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1568
- %1374 = Primitive::TupleGetItem{prim_type=1}(%1373, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1569
- %1375 = FuncGraph::fg_1570(%para20, UMonad[U]) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined) # fg_1570=▶Load.1570 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1571
- %1376 = Primitive::TupleGetItem{prim_type=1}(%1375, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1572
- %1377 = FuncGraph::fg_1573(%1374, %1376) #(Undefined, Undefined) # fg_1573=▶Conv2D.1573 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1378 = Primitive::TupleGetItem{prim_type=1}(%1377, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/conv2-Conv2d
- # #[CNode]1574
- %1379 = FuncGraph::fg_1488(%para21, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1488=▶Load.1488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1489
- %1380 = Primitive::TupleGetItem{prim_type=1}(%1379, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1575
- %1381 = FuncGraph::fg_1491(%para22, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1491=▶Load.1491 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1492
- %1382 = Primitive::TupleGetItem{prim_type=1}(%1381, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1576
- %1383 = FuncGraph::fg_1494(%para679, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1494=▶Load.1494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1495
- %1384 = Primitive::TupleGetItem{prim_type=1}(%1383, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1577
- %1385 = FuncGraph::fg_1497(%para680, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1497=▶Load.1497 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1498
- %1386 = Primitive::TupleGetItem{prim_type=1}(%1385, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1578
- %1387 = FuncGraph::fg_1500(%1378, %1380, %1382, %1384, %1386) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1500=▶BatchNorm.1500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1474
- %1388 = Primitive::TupleGetItem{prim_type=1}(%1387, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1579
- %1389 = FuncGraph::fg_1502(%1388, I64(0)) #(Undefined, Undefined) # fg_1502=▶TupleGetItem.1502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1390 = Primitive::TupleGetItem{prim_type=1}(%1389, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1580
- %1391 = FuncGraph::fg_1567(%1390) #(Undefined) # fg_1567=▶ReLU.1567 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1568
- %1392 = Primitive::TupleGetItem{prim_type=1}(%1391, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1581
- %1393 = FuncGraph::fg_1582(%para23, UMonad[U]) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined) # fg_1582=▶Load.1582 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1583
- %1394 = Primitive::TupleGetItem{prim_type=1}(%1393, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1584
- %1395 = FuncGraph::fg_1585(%1392, %1394) #(Undefined, Undefined) # fg_1585=▶Conv2D.1585 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1396 = Primitive::TupleGetItem{prim_type=1}(%1395, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/conv3-Conv2d
- # #[CNode]1586
- %1397 = FuncGraph::fg_1524(%para24, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1524=▶Load.1524 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1525
- %1398 = Primitive::TupleGetItem{prim_type=1}(%1397, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1587
- %1399 = FuncGraph::fg_1527(%para25, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1527=▶Load.1527 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1528
- %1400 = Primitive::TupleGetItem{prim_type=1}(%1399, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1588
- %1401 = FuncGraph::fg_1530(%para735, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1530=▶Load.1530 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1531
- %1402 = Primitive::TupleGetItem{prim_type=1}(%1401, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1589
- %1403 = FuncGraph::fg_1533(%para736, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1533=▶Load.1533 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #▲[CNode]1534
- %1404 = Primitive::TupleGetItem{prim_type=1}(%1403, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock
- # #[CNode]1590
- %1405 = FuncGraph::fg_1536(%1396, %1398, %1400, %1402, %1404) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1536=▶BatchNorm.1536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1406 = Primitive::TupleGetItem{prim_type=1}(%1405, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1591
- %1407 = FuncGraph::fg_1539(%1406, I64(0)) #(Undefined, Undefined) # fg_1539=▶TupleGetItem.1539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1408 = Primitive::TupleGetItem{prim_type=1}(%1407, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1592
- %1409 = FuncGraph::fg_1593(%1408, %1356) #(Undefined, Undefined) # fg_1593=▶Add.1593 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1410 = Primitive::TupleGetItem{prim_type=1}(%1409, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1594
- %1411 = FuncGraph::fg_1595(%1410) #(Undefined) # fg_1595=▶ReLU.1595 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1568
- %1412 = Primitive::TupleGetItem{prim_type=1}(%1411, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1596
- %1413 = FuncGraph::fg_1597(%para26, UMonad[U]) #(Ref[Tensor(F32)][64, 256, 1, 1], Undefined) # fg_1597=▶Load.1597 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #▲[CNode]1598
- %1414 = Primitive::TupleGetItem{prim_type=1}(%1413, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #[CNode]1599
- %1415 = FuncGraph::fg_1600(%1412, %1414) #(Undefined, Undefined) # fg_1600=▶Conv2D.1600 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1416 = Primitive::TupleGetItem{prim_type=1}(%1415, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/conv1-Conv2d
- # #[CNode]1601
- %1417 = FuncGraph::fg_1488(%para27, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1488=▶Load.1488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #▲[CNode]1489
- %1418 = Primitive::TupleGetItem{prim_type=1}(%1417, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #[CNode]1602
- %1419 = FuncGraph::fg_1491(%para28, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1491=▶Load.1491 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #▲[CNode]1492
- %1420 = Primitive::TupleGetItem{prim_type=1}(%1419, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #[CNode]1603
- %1421 = FuncGraph::fg_1494(%para705, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1494=▶Load.1494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #▲[CNode]1495
- %1422 = Primitive::TupleGetItem{prim_type=1}(%1421, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #[CNode]1604
- %1423 = FuncGraph::fg_1497(%para706, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1497=▶Load.1497 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #▲[CNode]1498
- %1424 = Primitive::TupleGetItem{prim_type=1}(%1423, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #[CNode]1605
- %1425 = FuncGraph::fg_1500(%1416, %1418, %1420, %1422, %1424) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1500=▶BatchNorm.1500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1474
- %1426 = Primitive::TupleGetItem{prim_type=1}(%1425, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1606
- %1427 = FuncGraph::fg_1502(%1426, I64(0)) #(Undefined, Undefined) # fg_1502=▶TupleGetItem.1502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1428 = Primitive::TupleGetItem{prim_type=1}(%1427, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1607
- %1429 = FuncGraph::fg_1608(%1428) #(Undefined) # fg_1608=▶ReLU.1608 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1609
- %1430 = Primitive::TupleGetItem{prim_type=1}(%1429, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]1610
- %1431 = FuncGraph::fg_1611(%para29, UMonad[U]) #(Ref[Tensor(F32)][64, 64, 3, 3], Undefined) # fg_1611=▶Load.1611 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #▲[CNode]1612
- %1432 = Primitive::TupleGetItem{prim_type=1}(%1431, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #[CNode]1613
- %1433 = FuncGraph::fg_1614(%1430, %1432) #(Undefined, Undefined) # fg_1614=▶Conv2D.1614 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1434 = Primitive::TupleGetItem{prim_type=1}(%1433, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/conv2-Conv2d
- # #[CNode]1615
- %1435 = FuncGraph::fg_1488(%para30, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1488=▶Load.1488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #▲[CNode]1489
- %1436 = Primitive::TupleGetItem{prim_type=1}(%1435, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1616
- %1437 = FuncGraph::fg_1491(%para31, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1491=▶Load.1491 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #▲[CNode]1492
- %1438 = Primitive::TupleGetItem{prim_type=1}(%1437, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1617
- %1439 = FuncGraph::fg_1494(%para681, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1494=▶Load.1494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #▲[CNode]1495
- %1440 = Primitive::TupleGetItem{prim_type=1}(%1439, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1618
- %1441 = FuncGraph::fg_1497(%para682, UMonad[U]) #(Ref[Tensor(F32)][64], Undefined) # fg_1497=▶Load.1497 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #▲[CNode]1498
- %1442 = Primitive::TupleGetItem{prim_type=1}(%1441, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1619
- %1443 = FuncGraph::fg_1500(%1434, %1436, %1438, %1440, %1442) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1500=▶BatchNorm.1500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1474
- %1444 = Primitive::TupleGetItem{prim_type=1}(%1443, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1620
- %1445 = FuncGraph::fg_1502(%1444, I64(0)) #(Undefined, Undefined) # fg_1502=▶TupleGetItem.1502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1446 = Primitive::TupleGetItem{prim_type=1}(%1445, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1621
- %1447 = FuncGraph::fg_1608(%1446) #(Undefined) # fg_1608=▶ReLU.1608 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1609
- %1448 = Primitive::TupleGetItem{prim_type=1}(%1447, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]1622
- %1449 = FuncGraph::fg_1623(%para32, UMonad[U]) #(Ref[Tensor(F32)][256, 64, 1, 1], Undefined) # fg_1623=▶Load.1623 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #▲[CNode]1624
- %1450 = Primitive::TupleGetItem{prim_type=1}(%1449, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock
- # #[CNode]1625
- %1451 = FuncGraph::fg_1626(%1448, %1450) #(Undefined, Undefined) # fg_1626=▶Conv2D.1626 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1452 = Primitive::TupleGetItem{prim_type=1}(%1451, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/conv3-Conv2d
- # #[CNode]1627
- %1453 = FuncGraph::fg_1524(%para33, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1524=▶Load.1524 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1525
- %1454 = Primitive::TupleGetItem{prim_type=1}(%1453, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1628
- %1455 = FuncGraph::fg_1527(%para34, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1527=▶Load.1527 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1528
- %1456 = Primitive::TupleGetItem{prim_type=1}(%1455, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1629
- %1457 = FuncGraph::fg_1530(%para737, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1530=▶Load.1530 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1531
- %1458 = Primitive::TupleGetItem{prim_type=1}(%1457, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1630
- %1459 = FuncGraph::fg_1533(%para738, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1533=▶Load.1533 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1534
- %1460 = Primitive::TupleGetItem{prim_type=1}(%1459, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1631
- %1461 = FuncGraph::fg_1536(%1452, %1454, %1456, %1458, %1460) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1536=▶BatchNorm.1536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1462 = Primitive::TupleGetItem{prim_type=1}(%1461, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1632
- %1463 = FuncGraph::fg_1539(%1462, I64(0)) #(Undefined, Undefined) # fg_1539=▶TupleGetItem.1539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1464 = Primitive::TupleGetItem{prim_type=1}(%1463, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1633
- %1465 = FuncGraph::fg_1634(%1464, %1412) #(Undefined, Undefined) # fg_1634=▶Add.1634 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1466 = Primitive::TupleGetItem{prim_type=1}(%1465, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1635
- %1467 = FuncGraph::fg_1636(%1466) #(Undefined) # fg_1636=▶ReLU.1636 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1609
- %1468 = Primitive::TupleGetItem{prim_type=1}(%1467, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]1637
- %1469 = FuncGraph::fg_1638(%para35, UMonad[U]) #(Ref[Tensor(F32)][128, 256, 1, 1], Undefined) # fg_1638=▶Load.1638 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1639
- %1470 = Primitive::TupleGetItem{prim_type=1}(%1469, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1640
- %1471 = FuncGraph::fg_1641(%1468, %1470) #(Undefined, Undefined) # fg_1641=▶Conv2D.1641 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1472 = Primitive::TupleGetItem{prim_type=1}(%1471, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/conv1-Conv2d
- # #[CNode]1642
- %1473 = FuncGraph::fg_1643(%para36, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1643=▶Load.1643 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1644
- %1474 = Primitive::TupleGetItem{prim_type=1}(%1473, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1645
- %1475 = FuncGraph::fg_1646(%para37, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1646=▶Load.1646 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1647
- %1476 = Primitive::TupleGetItem{prim_type=1}(%1475, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1648
- %1477 = FuncGraph::fg_1649(%para669, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1649=▶Load.1649 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1650
- %1478 = Primitive::TupleGetItem{prim_type=1}(%1477, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1651
- %1479 = FuncGraph::fg_1652(%para670, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1652=▶Load.1652 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1653
- %1480 = Primitive::TupleGetItem{prim_type=1}(%1479, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1654
- %1481 = FuncGraph::fg_1655(%1472, %1474, %1476, %1478, %1480) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1655=▶BatchNorm.1655 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1656
- %1482 = Primitive::TupleGetItem{prim_type=1}(%1481, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1657
- %1483 = FuncGraph::fg_1658(%1482, I64(0)) #(Undefined, Undefined) # fg_1658=▶TupleGetItem.1658 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1484 = Primitive::TupleGetItem{prim_type=1}(%1483, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1659
- %1485 = FuncGraph::fg_1660(%1484) #(Undefined) # fg_1660=▶ReLU.1660 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1661
- %1486 = Primitive::TupleGetItem{prim_type=1}(%1485, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1662
- %1487 = FuncGraph::fg_1663(%para38, UMonad[U]) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined) # fg_1663=▶Load.1663 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1664
- %1488 = Primitive::TupleGetItem{prim_type=1}(%1487, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1665
- %1489 = FuncGraph::fg_1666(%1486, %1488) #(Undefined, Undefined) # fg_1666=▶Conv2D.1666 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1490 = Primitive::TupleGetItem{prim_type=1}(%1489, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/conv2-Conv2d
- # #[CNode]1667
- %1491 = FuncGraph::fg_1668(%para39, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1668=▶Load.1668 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1669
- %1492 = Primitive::TupleGetItem{prim_type=1}(%1491, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1670
- %1493 = FuncGraph::fg_1671(%para40, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1671=▶Load.1671 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1672
- %1494 = Primitive::TupleGetItem{prim_type=1}(%1493, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1673
- %1495 = FuncGraph::fg_1674(%para643, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1674=▶Load.1674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1675
- %1496 = Primitive::TupleGetItem{prim_type=1}(%1495, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1676
- %1497 = FuncGraph::fg_1677(%para644, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1677=▶Load.1677 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1678
- %1498 = Primitive::TupleGetItem{prim_type=1}(%1497, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1679
- %1499 = FuncGraph::fg_1680(%1490, %1492, %1494, %1496, %1498) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1680=▶BatchNorm.1680 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1656
- %1500 = Primitive::TupleGetItem{prim_type=1}(%1499, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1681
- %1501 = FuncGraph::fg_1682(%1500, I64(0)) #(Undefined, Undefined) # fg_1682=▶TupleGetItem.1682 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1502 = Primitive::TupleGetItem{prim_type=1}(%1501, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1683
- %1503 = FuncGraph::fg_1684(%1502) #(Undefined) # fg_1684=▶ReLU.1684 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1661
- %1504 = Primitive::TupleGetItem{prim_type=1}(%1503, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1685
- %1505 = FuncGraph::fg_1686(%para41, UMonad[U]) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined) # fg_1686=▶Load.1686 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1687
- %1506 = Primitive::TupleGetItem{prim_type=1}(%1505, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1688
- %1507 = FuncGraph::fg_1689(%1504, %1506) #(Undefined, Undefined) # fg_1689=▶Conv2D.1689 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1508 = Primitive::TupleGetItem{prim_type=1}(%1507, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/conv3-Conv2d
- # #[CNode]1690
- %1509 = FuncGraph::fg_1691(%para42, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1691=▶Load.1691 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1692
- %1510 = Primitive::TupleGetItem{prim_type=1}(%1509, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1693
- %1511 = FuncGraph::fg_1694(%para43, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1694=▶Load.1694 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1695
- %1512 = Primitive::TupleGetItem{prim_type=1}(%1511, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1696
- %1513 = FuncGraph::fg_1697(%para707, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1697=▶Load.1697 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1698
- %1514 = Primitive::TupleGetItem{prim_type=1}(%1513, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1699
- %1515 = FuncGraph::fg_1700(%para708, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1700=▶Load.1700 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #▲[CNode]1701
- %1516 = Primitive::TupleGetItem{prim_type=1}(%1515, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock
- # #[CNode]1702
- %1517 = FuncGraph::fg_1703(%1508, %1510, %1512, %1514, %1516) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1703=▶BatchNorm.1703 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %1518 = Primitive::TupleGetItem{prim_type=1}(%1517, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1705
- %1519 = FuncGraph::fg_1706(%1518, I64(0)) #(Undefined, Undefined) # fg_1706=▶TupleGetItem.1706 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1520 = Primitive::TupleGetItem{prim_type=1}(%1519, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1707
- %1521 = FuncGraph::fg_1708(%para44, UMonad[U]) #(Ref[Tensor(F32)][512, 256, 1, 1], Undefined) # fg_1708=▶Load.1708 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1709
- %1522 = Primitive::TupleGetItem{prim_type=1}(%1521, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1710
- %1523 = FuncGraph::fg_1711(%1468, %1522) #(Undefined, Undefined) # fg_1711=▶Conv2D.1711 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1524 = Primitive::TupleGetItem{prim_type=1}(%1523, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell/0-Conv2d
- # #[CNode]1712
- %1525 = FuncGraph::fg_1691(%para45, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1691=▶Load.1691 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1692
- %1526 = Primitive::TupleGetItem{prim_type=1}(%1525, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1713
- %1527 = FuncGraph::fg_1694(%para46, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1694=▶Load.1694 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1695
- %1528 = Primitive::TupleGetItem{prim_type=1}(%1527, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1714
- %1529 = FuncGraph::fg_1697(%para739, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1697=▶Load.1697 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1698
- %1530 = Primitive::TupleGetItem{prim_type=1}(%1529, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1715
- %1531 = FuncGraph::fg_1700(%para740, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1700=▶Load.1700 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1701
- %1532 = Primitive::TupleGetItem{prim_type=1}(%1531, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1716
- %1533 = FuncGraph::fg_1703(%1524, %1526, %1528, %1530, %1532) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1703=▶BatchNorm.1703 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %1534 = Primitive::TupleGetItem{prim_type=1}(%1533, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1717
- %1535 = FuncGraph::fg_1706(%1534, I64(0)) #(Undefined, Undefined) # fg_1706=▶TupleGetItem.1706 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1536 = Primitive::TupleGetItem{prim_type=1}(%1535, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1718
- %1537 = FuncGraph::fg_1719(%1520, %1536) #(Undefined, Undefined) # fg_1719=▶Add.1719 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1538 = Primitive::TupleGetItem{prim_type=1}(%1537, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1720
- %1539 = FuncGraph::fg_1721(%1538) #(Undefined) # fg_1721=▶ReLU.1721 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1661
- %1540 = Primitive::TupleGetItem{prim_type=1}(%1539, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1722
- %1541 = FuncGraph::fg_1723(%para47, UMonad[U]) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined) # fg_1723=▶Load.1723 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1724
- %1542 = Primitive::TupleGetItem{prim_type=1}(%1541, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1725
- %1543 = FuncGraph::fg_1726(%1540, %1542) #(Undefined, Undefined) # fg_1726=▶Conv2D.1726 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1544 = Primitive::TupleGetItem{prim_type=1}(%1543, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/conv1-Conv2d
- # #[CNode]1727
- %1545 = FuncGraph::fg_1668(%para48, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1668=▶Load.1668 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1669
- %1546 = Primitive::TupleGetItem{prim_type=1}(%1545, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1728
- %1547 = FuncGraph::fg_1671(%para49, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1671=▶Load.1671 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1672
- %1548 = Primitive::TupleGetItem{prim_type=1}(%1547, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1729
- %1549 = FuncGraph::fg_1674(%para671, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1674=▶Load.1674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1675
- %1550 = Primitive::TupleGetItem{prim_type=1}(%1549, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1730
- %1551 = FuncGraph::fg_1677(%para672, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1677=▶Load.1677 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1678
- %1552 = Primitive::TupleGetItem{prim_type=1}(%1551, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1731
- %1553 = FuncGraph::fg_1680(%1544, %1546, %1548, %1550, %1552) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1680=▶BatchNorm.1680 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1656
- %1554 = Primitive::TupleGetItem{prim_type=1}(%1553, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1732
- %1555 = FuncGraph::fg_1682(%1554, I64(0)) #(Undefined, Undefined) # fg_1682=▶TupleGetItem.1682 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1556 = Primitive::TupleGetItem{prim_type=1}(%1555, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1733
- %1557 = FuncGraph::fg_1734(%1556) #(Undefined) # fg_1734=▶ReLU.1734 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1735
- %1558 = Primitive::TupleGetItem{prim_type=1}(%1557, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1736
- %1559 = FuncGraph::fg_1737(%para50, UMonad[U]) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined) # fg_1737=▶Load.1737 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1738
- %1560 = Primitive::TupleGetItem{prim_type=1}(%1559, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1739
- %1561 = FuncGraph::fg_1740(%1558, %1560) #(Undefined, Undefined) # fg_1740=▶Conv2D.1740 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1562 = Primitive::TupleGetItem{prim_type=1}(%1561, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/conv2-Conv2d
- # #[CNode]1741
- %1563 = FuncGraph::fg_1668(%para51, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1668=▶Load.1668 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1669
- %1564 = Primitive::TupleGetItem{prim_type=1}(%1563, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1742
- %1565 = FuncGraph::fg_1671(%para52, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1671=▶Load.1671 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1672
- %1566 = Primitive::TupleGetItem{prim_type=1}(%1565, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1743
- %1567 = FuncGraph::fg_1674(%para645, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1674=▶Load.1674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1675
- %1568 = Primitive::TupleGetItem{prim_type=1}(%1567, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1744
- %1569 = FuncGraph::fg_1677(%para646, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1677=▶Load.1677 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1678
- %1570 = Primitive::TupleGetItem{prim_type=1}(%1569, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1745
- %1571 = FuncGraph::fg_1680(%1562, %1564, %1566, %1568, %1570) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1680=▶BatchNorm.1680 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1656
- %1572 = Primitive::TupleGetItem{prim_type=1}(%1571, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1746
- %1573 = FuncGraph::fg_1682(%1572, I64(0)) #(Undefined, Undefined) # fg_1682=▶TupleGetItem.1682 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1574 = Primitive::TupleGetItem{prim_type=1}(%1573, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1747
- %1575 = FuncGraph::fg_1734(%1574) #(Undefined) # fg_1734=▶ReLU.1734 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1735
- %1576 = Primitive::TupleGetItem{prim_type=1}(%1575, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1748
- %1577 = FuncGraph::fg_1749(%para53, UMonad[U]) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined) # fg_1749=▶Load.1749 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1750
- %1578 = Primitive::TupleGetItem{prim_type=1}(%1577, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1751
- %1579 = FuncGraph::fg_1752(%1576, %1578) #(Undefined, Undefined) # fg_1752=▶Conv2D.1752 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1580 = Primitive::TupleGetItem{prim_type=1}(%1579, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/conv3-Conv2d
- # #[CNode]1753
- %1581 = FuncGraph::fg_1691(%para54, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1691=▶Load.1691 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1692
- %1582 = Primitive::TupleGetItem{prim_type=1}(%1581, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1754
- %1583 = FuncGraph::fg_1694(%para55, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1694=▶Load.1694 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1695
- %1584 = Primitive::TupleGetItem{prim_type=1}(%1583, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1755
- %1585 = FuncGraph::fg_1697(%para709, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1697=▶Load.1697 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1698
- %1586 = Primitive::TupleGetItem{prim_type=1}(%1585, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1756
- %1587 = FuncGraph::fg_1700(%para710, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1700=▶Load.1700 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #▲[CNode]1701
- %1588 = Primitive::TupleGetItem{prim_type=1}(%1587, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock
- # #[CNode]1757
- %1589 = FuncGraph::fg_1703(%1580, %1582, %1584, %1586, %1588) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1703=▶BatchNorm.1703 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %1590 = Primitive::TupleGetItem{prim_type=1}(%1589, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1758
- %1591 = FuncGraph::fg_1706(%1590, I64(0)) #(Undefined, Undefined) # fg_1706=▶TupleGetItem.1706 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1592 = Primitive::TupleGetItem{prim_type=1}(%1591, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1759
- %1593 = FuncGraph::fg_1760(%1592, %1540) #(Undefined, Undefined) # fg_1760=▶Add.1760 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1594 = Primitive::TupleGetItem{prim_type=1}(%1593, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1761
- %1595 = FuncGraph::fg_1762(%1594) #(Undefined) # fg_1762=▶ReLU.1762 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1735
- %1596 = Primitive::TupleGetItem{prim_type=1}(%1595, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1763
- %1597 = FuncGraph::fg_1764(%para56, UMonad[U]) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined) # fg_1764=▶Load.1764 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1765
- %1598 = Primitive::TupleGetItem{prim_type=1}(%1597, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1766
- %1599 = FuncGraph::fg_1767(%1596, %1598) #(Undefined, Undefined) # fg_1767=▶Conv2D.1767 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1600 = Primitive::TupleGetItem{prim_type=1}(%1599, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/conv1-Conv2d
- # #[CNode]1768
- %1601 = FuncGraph::fg_1668(%para57, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1668=▶Load.1668 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1669
- %1602 = Primitive::TupleGetItem{prim_type=1}(%1601, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1769
- %1603 = FuncGraph::fg_1671(%para58, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1671=▶Load.1671 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1672
- %1604 = Primitive::TupleGetItem{prim_type=1}(%1603, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1770
- %1605 = FuncGraph::fg_1674(%para673, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1674=▶Load.1674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1675
- %1606 = Primitive::TupleGetItem{prim_type=1}(%1605, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1771
- %1607 = FuncGraph::fg_1677(%para674, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1677=▶Load.1677 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1678
- %1608 = Primitive::TupleGetItem{prim_type=1}(%1607, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1772
- %1609 = FuncGraph::fg_1680(%1600, %1602, %1604, %1606, %1608) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1680=▶BatchNorm.1680 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1656
- %1610 = Primitive::TupleGetItem{prim_type=1}(%1609, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1773
- %1611 = FuncGraph::fg_1682(%1610, I64(0)) #(Undefined, Undefined) # fg_1682=▶TupleGetItem.1682 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1612 = Primitive::TupleGetItem{prim_type=1}(%1611, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1774
- %1613 = FuncGraph::fg_1775(%1612) #(Undefined) # fg_1775=▶ReLU.1775 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1776
- %1614 = Primitive::TupleGetItem{prim_type=1}(%1613, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]1777
- %1615 = FuncGraph::fg_1778(%para59, UMonad[U]) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined) # fg_1778=▶Load.1778 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1779
- %1616 = Primitive::TupleGetItem{prim_type=1}(%1615, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1780
- %1617 = FuncGraph::fg_1781(%1614, %1616) #(Undefined, Undefined) # fg_1781=▶Conv2D.1781 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1618 = Primitive::TupleGetItem{prim_type=1}(%1617, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/conv2-Conv2d
- # #[CNode]1782
- %1619 = FuncGraph::fg_1668(%para60, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1668=▶Load.1668 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1669
- %1620 = Primitive::TupleGetItem{prim_type=1}(%1619, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1783
- %1621 = FuncGraph::fg_1671(%para61, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1671=▶Load.1671 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1672
- %1622 = Primitive::TupleGetItem{prim_type=1}(%1621, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1784
- %1623 = FuncGraph::fg_1674(%para647, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1674=▶Load.1674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1675
- %1624 = Primitive::TupleGetItem{prim_type=1}(%1623, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1785
- %1625 = FuncGraph::fg_1677(%para648, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1677=▶Load.1677 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1678
- %1626 = Primitive::TupleGetItem{prim_type=1}(%1625, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1786
- %1627 = FuncGraph::fg_1680(%1618, %1620, %1622, %1624, %1626) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1680=▶BatchNorm.1680 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1656
- %1628 = Primitive::TupleGetItem{prim_type=1}(%1627, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1787
- %1629 = FuncGraph::fg_1682(%1628, I64(0)) #(Undefined, Undefined) # fg_1682=▶TupleGetItem.1682 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1630 = Primitive::TupleGetItem{prim_type=1}(%1629, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1788
- %1631 = FuncGraph::fg_1775(%1630) #(Undefined) # fg_1775=▶ReLU.1775 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1776
- %1632 = Primitive::TupleGetItem{prim_type=1}(%1631, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]1789
- %1633 = FuncGraph::fg_1790(%para62, UMonad[U]) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined) # fg_1790=▶Load.1790 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1791
- %1634 = Primitive::TupleGetItem{prim_type=1}(%1633, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1792
- %1635 = FuncGraph::fg_1793(%1632, %1634) #(Undefined, Undefined) # fg_1793=▶Conv2D.1793 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1636 = Primitive::TupleGetItem{prim_type=1}(%1635, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/conv3-Conv2d
- # #[CNode]1794
- %1637 = FuncGraph::fg_1691(%para63, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1691=▶Load.1691 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1692
- %1638 = Primitive::TupleGetItem{prim_type=1}(%1637, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1795
- %1639 = FuncGraph::fg_1694(%para64, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1694=▶Load.1694 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1695
- %1640 = Primitive::TupleGetItem{prim_type=1}(%1639, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1796
- %1641 = FuncGraph::fg_1697(%para711, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1697=▶Load.1697 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1698
- %1642 = Primitive::TupleGetItem{prim_type=1}(%1641, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1797
- %1643 = FuncGraph::fg_1700(%para712, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1700=▶Load.1700 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #▲[CNode]1701
- %1644 = Primitive::TupleGetItem{prim_type=1}(%1643, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock
- # #[CNode]1798
- %1645 = FuncGraph::fg_1703(%1636, %1638, %1640, %1642, %1644) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1703=▶BatchNorm.1703 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %1646 = Primitive::TupleGetItem{prim_type=1}(%1645, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1799
- %1647 = FuncGraph::fg_1706(%1646, I64(0)) #(Undefined, Undefined) # fg_1706=▶TupleGetItem.1706 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1648 = Primitive::TupleGetItem{prim_type=1}(%1647, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1800
- %1649 = FuncGraph::fg_1801(%1648, %1596) #(Undefined, Undefined) # fg_1801=▶Add.1801 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1650 = Primitive::TupleGetItem{prim_type=1}(%1649, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1802
- %1651 = FuncGraph::fg_1803(%1650) #(Undefined) # fg_1803=▶ReLU.1803 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1776
- %1652 = Primitive::TupleGetItem{prim_type=1}(%1651, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]1804
- %1653 = FuncGraph::fg_1805(%para65, UMonad[U]) #(Ref[Tensor(F32)][128, 512, 1, 1], Undefined) # fg_1805=▶Load.1805 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #▲[CNode]1806
- %1654 = Primitive::TupleGetItem{prim_type=1}(%1653, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #[CNode]1807
- %1655 = FuncGraph::fg_1808(%1652, %1654) #(Undefined, Undefined) # fg_1808=▶Conv2D.1808 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1656 = Primitive::TupleGetItem{prim_type=1}(%1655, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/conv1-Conv2d
- # #[CNode]1809
- %1657 = FuncGraph::fg_1668(%para66, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1668=▶Load.1668 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #▲[CNode]1669
- %1658 = Primitive::TupleGetItem{prim_type=1}(%1657, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #[CNode]1810
- %1659 = FuncGraph::fg_1671(%para67, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1671=▶Load.1671 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #▲[CNode]1672
- %1660 = Primitive::TupleGetItem{prim_type=1}(%1659, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #[CNode]1811
- %1661 = FuncGraph::fg_1674(%para675, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1674=▶Load.1674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #▲[CNode]1675
- %1662 = Primitive::TupleGetItem{prim_type=1}(%1661, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #[CNode]1812
- %1663 = FuncGraph::fg_1677(%para676, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1677=▶Load.1677 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #▲[CNode]1678
- %1664 = Primitive::TupleGetItem{prim_type=1}(%1663, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #[CNode]1813
- %1665 = FuncGraph::fg_1680(%1656, %1658, %1660, %1662, %1664) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1680=▶BatchNorm.1680 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1656
- %1666 = Primitive::TupleGetItem{prim_type=1}(%1665, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1814
- %1667 = FuncGraph::fg_1682(%1666, I64(0)) #(Undefined, Undefined) # fg_1682=▶TupleGetItem.1682 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1668 = Primitive::TupleGetItem{prim_type=1}(%1667, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1815
- %1669 = FuncGraph::fg_1816(%1668) #(Undefined) # fg_1816=▶ReLU.1816 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1817
- %1670 = Primitive::TupleGetItem{prim_type=1}(%1669, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/relu-ReLU
- # #[CNode]1818
- %1671 = FuncGraph::fg_1819(%para68, UMonad[U]) #(Ref[Tensor(F32)][128, 128, 3, 3], Undefined) # fg_1819=▶Load.1819 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #▲[CNode]1820
- %1672 = Primitive::TupleGetItem{prim_type=1}(%1671, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #[CNode]1821
- %1673 = FuncGraph::fg_1822(%1670, %1672) #(Undefined, Undefined) # fg_1822=▶Conv2D.1822 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1674 = Primitive::TupleGetItem{prim_type=1}(%1673, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/conv2-Conv2d
- # #[CNode]1823
- %1675 = FuncGraph::fg_1668(%para69, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1668=▶Load.1668 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1669
- %1676 = Primitive::TupleGetItem{prim_type=1}(%1675, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1824
- %1677 = FuncGraph::fg_1671(%para70, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1671=▶Load.1671 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1672
- %1678 = Primitive::TupleGetItem{prim_type=1}(%1677, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1825
- %1679 = FuncGraph::fg_1674(%para649, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1674=▶Load.1674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1675
- %1680 = Primitive::TupleGetItem{prim_type=1}(%1679, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1826
- %1681 = FuncGraph::fg_1677(%para650, UMonad[U]) #(Ref[Tensor(F32)][128], Undefined) # fg_1677=▶Load.1677 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1678
- %1682 = Primitive::TupleGetItem{prim_type=1}(%1681, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1827
- %1683 = FuncGraph::fg_1680(%1674, %1676, %1678, %1680, %1682) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1680=▶BatchNorm.1680 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1656
- %1684 = Primitive::TupleGetItem{prim_type=1}(%1683, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1828
- %1685 = FuncGraph::fg_1682(%1684, I64(0)) #(Undefined, Undefined) # fg_1682=▶TupleGetItem.1682 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1686 = Primitive::TupleGetItem{prim_type=1}(%1685, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1829
- %1687 = FuncGraph::fg_1816(%1686) #(Undefined) # fg_1816=▶ReLU.1816 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1817
- %1688 = Primitive::TupleGetItem{prim_type=1}(%1687, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/relu-ReLU
- # #[CNode]1830
- %1689 = FuncGraph::fg_1831(%para71, UMonad[U]) #(Ref[Tensor(F32)][512, 128, 1, 1], Undefined) # fg_1831=▶Load.1831 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #▲[CNode]1832
- %1690 = Primitive::TupleGetItem{prim_type=1}(%1689, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock
- # #[CNode]1833
- %1691 = FuncGraph::fg_1834(%1688, %1690) #(Undefined, Undefined) # fg_1834=▶Conv2D.1834 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1692 = Primitive::TupleGetItem{prim_type=1}(%1691, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/conv3-Conv2d
- # #[CNode]1835
- %1693 = FuncGraph::fg_1691(%para72, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1691=▶Load.1691 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1692
- %1694 = Primitive::TupleGetItem{prim_type=1}(%1693, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1836
- %1695 = FuncGraph::fg_1694(%para73, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1694=▶Load.1694 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1695
- %1696 = Primitive::TupleGetItem{prim_type=1}(%1695, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1837
- %1697 = FuncGraph::fg_1697(%para713, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1697=▶Load.1697 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1698
- %1698 = Primitive::TupleGetItem{prim_type=1}(%1697, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1838
- %1699 = FuncGraph::fg_1700(%para714, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_1700=▶Load.1700 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1701
- %1700 = Primitive::TupleGetItem{prim_type=1}(%1699, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1839
- %1701 = FuncGraph::fg_1703(%1692, %1694, %1696, %1698, %1700) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1703=▶BatchNorm.1703 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %1702 = Primitive::TupleGetItem{prim_type=1}(%1701, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1840
- %1703 = FuncGraph::fg_1706(%1702, I64(0)) #(Undefined, Undefined) # fg_1706=▶TupleGetItem.1706 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1704 = Primitive::TupleGetItem{prim_type=1}(%1703, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1841
- %1705 = FuncGraph::fg_1842(%1704, %1652) #(Undefined, Undefined) # fg_1842=▶Add.1842 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1706 = Primitive::TupleGetItem{prim_type=1}(%1705, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1843
- %1707 = FuncGraph::fg_1844(%1706) #(Undefined) # fg_1844=▶ReLU.1844 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1817
- %1708 = Primitive::TupleGetItem{prim_type=1}(%1707, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer2-SequentialCell/3-ResidualBlock/relu-ReLU
- # #[CNode]1845
- %1709 = FuncGraph::fg_1846(%para167, UMonad[U]) #(Ref[Tensor(F32)][256, 512, 1, 1], Undefined) # fg_1846=▶Load.1846 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #▲[CNode]1847
- %1710 = Primitive::TupleGetItem{prim_type=1}(%1709, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]1848
- %1711 = FuncGraph::fg_1849(%1708, %1710) #(Undefined, Undefined) # fg_1849=▶Conv2D.1849 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1712 = Primitive::TupleGetItem{prim_type=1}(%1711, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_3-Conv2d
- # #[CNode]1850
- %1713 = FuncGraph::fg_1851(%para168, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1851=▶Load.1851 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_3-Conv2d
- # #▲[CNode]1852
- %1714 = Primitive::TupleGetItem{prim_type=1}(%1713, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_3-Conv2d
- # #[CNode]1853
- %1715 = FuncGraph::fg_1854(%1712, %1714) #(Undefined, Undefined) # fg_1854=▶BiasAdd.1854 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %1716 = Primitive::TupleGetItem{prim_type=1}(%1715, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_3-Conv2d
- # #[CNode]1855
- %1717 = FuncGraph::fg_1856(%para74, UMonad[U]) #(Ref[Tensor(F32)][256, 512, 1, 1], Undefined) # fg_1856=▶Load.1856 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1857
- %1718 = Primitive::TupleGetItem{prim_type=1}(%1717, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1858
- %1719 = FuncGraph::fg_1859(%1708, %1718) #(Undefined, Undefined) # fg_1859=▶Conv2D.1859 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1720 = Primitive::TupleGetItem{prim_type=1}(%1719, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/conv1-Conv2d
- # #[CNode]1860
- %1721 = FuncGraph::fg_1861(%para75, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1861=▶Load.1861 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1862
- %1722 = Primitive::TupleGetItem{prim_type=1}(%1721, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1863
- %1723 = FuncGraph::fg_1864(%para76, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1864=▶Load.1864 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1865
- %1724 = Primitive::TupleGetItem{prim_type=1}(%1723, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1866
- %1725 = FuncGraph::fg_1867(%para683, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1867=▶Load.1867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1868
- %1726 = Primitive::TupleGetItem{prim_type=1}(%1725, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1869
- %1727 = FuncGraph::fg_1870(%para684, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1870=▶Load.1870 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1871
- %1728 = Primitive::TupleGetItem{prim_type=1}(%1727, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1872
- %1729 = FuncGraph::fg_1873(%1720, %1722, %1724, %1726, %1728) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1873=▶BatchNorm.1873 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1730 = Primitive::TupleGetItem{prim_type=1}(%1729, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1874
- %1731 = FuncGraph::fg_1875(%1730, I64(0)) #(Undefined, Undefined) # fg_1875=▶TupleGetItem.1875 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1732 = Primitive::TupleGetItem{prim_type=1}(%1731, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1876
- %1733 = FuncGraph::fg_1877(%1732) #(Undefined) # fg_1877=▶ReLU.1877 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1878
- %1734 = Primitive::TupleGetItem{prim_type=1}(%1733, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1879
- %1735 = FuncGraph::fg_1880(%para77, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_1880=▶Load.1880 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1881
- %1736 = Primitive::TupleGetItem{prim_type=1}(%1735, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1882
- %1737 = FuncGraph::fg_1883(%1734, %1736) #(Undefined, Undefined) # fg_1883=▶Conv2D.1883 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1738 = Primitive::TupleGetItem{prim_type=1}(%1737, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/conv2-Conv2d
- # #[CNode]1884
- %1739 = FuncGraph::fg_1885(%para78, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1886
- %1740 = Primitive::TupleGetItem{prim_type=1}(%1739, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1887
- %1741 = FuncGraph::fg_1888(%para79, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1889
- %1742 = Primitive::TupleGetItem{prim_type=1}(%1741, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1890
- %1743 = FuncGraph::fg_1891(%para651, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1892
- %1744 = Primitive::TupleGetItem{prim_type=1}(%1743, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1893
- %1745 = FuncGraph::fg_1894(%para652, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1895
- %1746 = Primitive::TupleGetItem{prim_type=1}(%1745, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1896
- %1747 = FuncGraph::fg_1897(%1738, %1740, %1742, %1744, %1746) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1748 = Primitive::TupleGetItem{prim_type=1}(%1747, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1898
- %1749 = FuncGraph::fg_1899(%1748, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1750 = Primitive::TupleGetItem{prim_type=1}(%1749, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1900
- %1751 = FuncGraph::fg_1901(%1750) #(Undefined) # fg_1901=▶ReLU.1901 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1878
- %1752 = Primitive::TupleGetItem{prim_type=1}(%1751, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1902
- %1753 = FuncGraph::fg_1903(%para80, UMonad[U]) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) # fg_1903=▶Load.1903 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1904
- %1754 = Primitive::TupleGetItem{prim_type=1}(%1753, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1905
- %1755 = FuncGraph::fg_1906(%1752, %1754) #(Undefined, Undefined) # fg_1906=▶Conv2D.1906 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1756 = Primitive::TupleGetItem{prim_type=1}(%1755, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/conv3-Conv2d
- # #[CNode]1907
- %1757 = FuncGraph::fg_1908(%para81, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1908=▶Load.1908 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1909
- %1758 = Primitive::TupleGetItem{prim_type=1}(%1757, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1910
- %1759 = FuncGraph::fg_1911(%para82, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1911=▶Load.1911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1912
- %1760 = Primitive::TupleGetItem{prim_type=1}(%1759, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1913
- %1761 = FuncGraph::fg_1914(%para715, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1914=▶Load.1914 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1915
- %1762 = Primitive::TupleGetItem{prim_type=1}(%1761, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1916
- %1763 = FuncGraph::fg_1917(%para716, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1917=▶Load.1917 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #▲[CNode]1918
- %1764 = Primitive::TupleGetItem{prim_type=1}(%1763, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock
- # #[CNode]1919
- %1765 = FuncGraph::fg_1920(%1756, %1758, %1760, %1762, %1764) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1920=▶BatchNorm.1920 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1921
- %1766 = Primitive::TupleGetItem{prim_type=1}(%1765, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]1922
- %1767 = FuncGraph::fg_1923(%1766, I64(0)) #(Undefined, Undefined) # fg_1923=▶TupleGetItem.1923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1768 = Primitive::TupleGetItem{prim_type=1}(%1767, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1924
- %1769 = FuncGraph::fg_1925(%para83, UMonad[U]) #(Ref[Tensor(F32)][1024, 512, 1, 1], Undefined) # fg_1925=▶Load.1925 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1926
- %1770 = Primitive::TupleGetItem{prim_type=1}(%1769, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1927
- %1771 = FuncGraph::fg_1928(%1708, %1770) #(Undefined, Undefined) # fg_1928=▶Conv2D.1928 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1772 = Primitive::TupleGetItem{prim_type=1}(%1771, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell/0-Conv2d
- # #[CNode]1929
- %1773 = FuncGraph::fg_1908(%para84, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1908=▶Load.1908 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1909
- %1774 = Primitive::TupleGetItem{prim_type=1}(%1773, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1930
- %1775 = FuncGraph::fg_1911(%para85, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1911=▶Load.1911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1912
- %1776 = Primitive::TupleGetItem{prim_type=1}(%1775, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1931
- %1777 = FuncGraph::fg_1914(%para741, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1914=▶Load.1914 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1915
- %1778 = Primitive::TupleGetItem{prim_type=1}(%1777, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1932
- %1779 = FuncGraph::fg_1917(%para742, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1917=▶Load.1917 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]1918
- %1780 = Primitive::TupleGetItem{prim_type=1}(%1779, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]1933
- %1781 = FuncGraph::fg_1920(%1772, %1774, %1776, %1778, %1780) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1920=▶BatchNorm.1920 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1921
- %1782 = Primitive::TupleGetItem{prim_type=1}(%1781, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]1934
- %1783 = FuncGraph::fg_1923(%1782, I64(0)) #(Undefined, Undefined) # fg_1923=▶TupleGetItem.1923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1784 = Primitive::TupleGetItem{prim_type=1}(%1783, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1935
- %1785 = FuncGraph::fg_1936(%1768, %1784) #(Undefined, Undefined) # fg_1936=▶Add.1936 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1786 = Primitive::TupleGetItem{prim_type=1}(%1785, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1937
- %1787 = FuncGraph::fg_1938(%1786) #(Undefined) # fg_1938=▶ReLU.1938 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1878
- %1788 = Primitive::TupleGetItem{prim_type=1}(%1787, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]1939
- %1789 = FuncGraph::fg_1940(%para86, UMonad[U]) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) # fg_1940=▶Load.1940 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1941
- %1790 = Primitive::TupleGetItem{prim_type=1}(%1789, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1942
- %1791 = FuncGraph::fg_1943(%1788, %1790) #(Undefined, Undefined) # fg_1943=▶Conv2D.1943 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1792 = Primitive::TupleGetItem{prim_type=1}(%1791, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/conv1-Conv2d
- # #[CNode]1944
- %1793 = FuncGraph::fg_1885(%para87, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1886
- %1794 = Primitive::TupleGetItem{prim_type=1}(%1793, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1945
- %1795 = FuncGraph::fg_1888(%para88, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1889
- %1796 = Primitive::TupleGetItem{prim_type=1}(%1795, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1946
- %1797 = FuncGraph::fg_1891(%para685, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1892
- %1798 = Primitive::TupleGetItem{prim_type=1}(%1797, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1947
- %1799 = FuncGraph::fg_1894(%para686, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1895
- %1800 = Primitive::TupleGetItem{prim_type=1}(%1799, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1948
- %1801 = FuncGraph::fg_1897(%1792, %1794, %1796, %1798, %1800) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1802 = Primitive::TupleGetItem{prim_type=1}(%1801, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1949
- %1803 = FuncGraph::fg_1899(%1802, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1804 = Primitive::TupleGetItem{prim_type=1}(%1803, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1950
- %1805 = FuncGraph::fg_1951(%1804) #(Undefined) # fg_1951=▶ReLU.1951 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1952
- %1806 = Primitive::TupleGetItem{prim_type=1}(%1805, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1953
- %1807 = FuncGraph::fg_1954(%para89, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_1954=▶Load.1954 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1955
- %1808 = Primitive::TupleGetItem{prim_type=1}(%1807, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1956
- %1809 = FuncGraph::fg_1957(%1806, %1808) #(Undefined, Undefined) # fg_1957=▶Conv2D.1957 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1810 = Primitive::TupleGetItem{prim_type=1}(%1809, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/conv2-Conv2d
- # #[CNode]1958
- %1811 = FuncGraph::fg_1885(%para90, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1886
- %1812 = Primitive::TupleGetItem{prim_type=1}(%1811, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1959
- %1813 = FuncGraph::fg_1888(%para91, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1889
- %1814 = Primitive::TupleGetItem{prim_type=1}(%1813, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1960
- %1815 = FuncGraph::fg_1891(%para653, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1892
- %1816 = Primitive::TupleGetItem{prim_type=1}(%1815, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1961
- %1817 = FuncGraph::fg_1894(%para654, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1895
- %1818 = Primitive::TupleGetItem{prim_type=1}(%1817, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1962
- %1819 = FuncGraph::fg_1897(%1810, %1812, %1814, %1816, %1818) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1820 = Primitive::TupleGetItem{prim_type=1}(%1819, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1963
- %1821 = FuncGraph::fg_1899(%1820, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1822 = Primitive::TupleGetItem{prim_type=1}(%1821, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1964
- %1823 = FuncGraph::fg_1951(%1822) #(Undefined) # fg_1951=▶ReLU.1951 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1952
- %1824 = Primitive::TupleGetItem{prim_type=1}(%1823, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1965
- %1825 = FuncGraph::fg_1966(%para92, UMonad[U]) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) # fg_1966=▶Load.1966 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1967
- %1826 = Primitive::TupleGetItem{prim_type=1}(%1825, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1968
- %1827 = FuncGraph::fg_1969(%1824, %1826) #(Undefined, Undefined) # fg_1969=▶Conv2D.1969 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1828 = Primitive::TupleGetItem{prim_type=1}(%1827, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/conv3-Conv2d
- # #[CNode]1970
- %1829 = FuncGraph::fg_1908(%para93, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1908=▶Load.1908 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1909
- %1830 = Primitive::TupleGetItem{prim_type=1}(%1829, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1971
- %1831 = FuncGraph::fg_1911(%para94, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1911=▶Load.1911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1912
- %1832 = Primitive::TupleGetItem{prim_type=1}(%1831, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1972
- %1833 = FuncGraph::fg_1914(%para717, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1914=▶Load.1914 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1915
- %1834 = Primitive::TupleGetItem{prim_type=1}(%1833, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1973
- %1835 = FuncGraph::fg_1917(%para718, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1917=▶Load.1917 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #▲[CNode]1918
- %1836 = Primitive::TupleGetItem{prim_type=1}(%1835, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock
- # #[CNode]1974
- %1837 = FuncGraph::fg_1920(%1828, %1830, %1832, %1834, %1836) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1920=▶BatchNorm.1920 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1921
- %1838 = Primitive::TupleGetItem{prim_type=1}(%1837, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]1975
- %1839 = FuncGraph::fg_1923(%1838, I64(0)) #(Undefined, Undefined) # fg_1923=▶TupleGetItem.1923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1840 = Primitive::TupleGetItem{prim_type=1}(%1839, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1976
- %1841 = FuncGraph::fg_1977(%1840, %1788) #(Undefined, Undefined) # fg_1977=▶Add.1977 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1842 = Primitive::TupleGetItem{prim_type=1}(%1841, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]1978
- %1843 = FuncGraph::fg_1979(%1842) #(Undefined) # fg_1979=▶ReLU.1979 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1952
- %1844 = Primitive::TupleGetItem{prim_type=1}(%1843, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]1980
- %1845 = FuncGraph::fg_1981(%para95, UMonad[U]) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) # fg_1981=▶Load.1981 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1982
- %1846 = Primitive::TupleGetItem{prim_type=1}(%1845, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]1983
- %1847 = FuncGraph::fg_1984(%1844, %1846) #(Undefined, Undefined) # fg_1984=▶Conv2D.1984 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1848 = Primitive::TupleGetItem{prim_type=1}(%1847, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/conv1-Conv2d
- # #[CNode]1985
- %1849 = FuncGraph::fg_1885(%para96, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1886
- %1850 = Primitive::TupleGetItem{prim_type=1}(%1849, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]1986
- %1851 = FuncGraph::fg_1888(%para97, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1889
- %1852 = Primitive::TupleGetItem{prim_type=1}(%1851, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]1987
- %1853 = FuncGraph::fg_1891(%para687, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1892
- %1854 = Primitive::TupleGetItem{prim_type=1}(%1853, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]1988
- %1855 = FuncGraph::fg_1894(%para688, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1895
- %1856 = Primitive::TupleGetItem{prim_type=1}(%1855, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]1989
- %1857 = FuncGraph::fg_1897(%1848, %1850, %1852, %1854, %1856) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1858 = Primitive::TupleGetItem{prim_type=1}(%1857, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]1990
- %1859 = FuncGraph::fg_1899(%1858, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1860 = Primitive::TupleGetItem{prim_type=1}(%1859, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]1991
- %1861 = FuncGraph::fg_1992(%1860) #(Undefined) # fg_1992=▶ReLU.1992 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1993
- %1862 = Primitive::TupleGetItem{prim_type=1}(%1861, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]1994
- %1863 = FuncGraph::fg_1995(%para98, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_1995=▶Load.1995 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1996
- %1864 = Primitive::TupleGetItem{prim_type=1}(%1863, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]1997
- %1865 = FuncGraph::fg_1998(%1862, %1864) #(Undefined, Undefined) # fg_1998=▶Conv2D.1998 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1866 = Primitive::TupleGetItem{prim_type=1}(%1865, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/conv2-Conv2d
- # #[CNode]1999
- %1867 = FuncGraph::fg_1885(%para99, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1886
- %1868 = Primitive::TupleGetItem{prim_type=1}(%1867, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2000
- %1869 = FuncGraph::fg_1888(%para100, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1889
- %1870 = Primitive::TupleGetItem{prim_type=1}(%1869, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2001
- %1871 = FuncGraph::fg_1891(%para655, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1892
- %1872 = Primitive::TupleGetItem{prim_type=1}(%1871, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2002
- %1873 = FuncGraph::fg_1894(%para656, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1895
- %1874 = Primitive::TupleGetItem{prim_type=1}(%1873, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2003
- %1875 = FuncGraph::fg_1897(%1866, %1868, %1870, %1872, %1874) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1876 = Primitive::TupleGetItem{prim_type=1}(%1875, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2004
- %1877 = FuncGraph::fg_1899(%1876, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1878 = Primitive::TupleGetItem{prim_type=1}(%1877, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2005
- %1879 = FuncGraph::fg_1992(%1878) #(Undefined) # fg_1992=▶ReLU.1992 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1993
- %1880 = Primitive::TupleGetItem{prim_type=1}(%1879, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]2006
- %1881 = FuncGraph::fg_2007(%para101, UMonad[U]) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) # fg_2007=▶Load.2007 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]2008
- %1882 = Primitive::TupleGetItem{prim_type=1}(%1881, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2009
- %1883 = FuncGraph::fg_2010(%1880, %1882) #(Undefined, Undefined) # fg_2010=▶Conv2D.2010 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1884 = Primitive::TupleGetItem{prim_type=1}(%1883, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/conv3-Conv2d
- # #[CNode]2011
- %1885 = FuncGraph::fg_1908(%para102, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1908=▶Load.1908 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1909
- %1886 = Primitive::TupleGetItem{prim_type=1}(%1885, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2012
- %1887 = FuncGraph::fg_1911(%para103, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1911=▶Load.1911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1912
- %1888 = Primitive::TupleGetItem{prim_type=1}(%1887, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2013
- %1889 = FuncGraph::fg_1914(%para719, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1914=▶Load.1914 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1915
- %1890 = Primitive::TupleGetItem{prim_type=1}(%1889, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2014
- %1891 = FuncGraph::fg_1917(%para720, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1917=▶Load.1917 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #▲[CNode]1918
- %1892 = Primitive::TupleGetItem{prim_type=1}(%1891, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock
- # #[CNode]2015
- %1893 = FuncGraph::fg_1920(%1884, %1886, %1888, %1890, %1892) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1920=▶BatchNorm.1920 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1921
- %1894 = Primitive::TupleGetItem{prim_type=1}(%1893, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2016
- %1895 = FuncGraph::fg_1923(%1894, I64(0)) #(Undefined, Undefined) # fg_1923=▶TupleGetItem.1923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1896 = Primitive::TupleGetItem{prim_type=1}(%1895, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2017
- %1897 = FuncGraph::fg_2018(%1896, %1844) #(Undefined, Undefined) # fg_2018=▶Add.2018 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1898 = Primitive::TupleGetItem{prim_type=1}(%1897, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2019
- %1899 = FuncGraph::fg_2020(%1898) #(Undefined) # fg_2020=▶ReLU.2020 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]1993
- %1900 = Primitive::TupleGetItem{prim_type=1}(%1899, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]2021
- %1901 = FuncGraph::fg_2022(%para104, UMonad[U]) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) # fg_2022=▶Load.2022 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]2023
- %1902 = Primitive::TupleGetItem{prim_type=1}(%1901, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2024
- %1903 = FuncGraph::fg_2025(%1900, %1902) #(Undefined, Undefined) # fg_2025=▶Conv2D.2025 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1904 = Primitive::TupleGetItem{prim_type=1}(%1903, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/conv1-Conv2d
- # #[CNode]2026
- %1905 = FuncGraph::fg_1885(%para105, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1886
- %1906 = Primitive::TupleGetItem{prim_type=1}(%1905, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2027
- %1907 = FuncGraph::fg_1888(%para106, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1889
- %1908 = Primitive::TupleGetItem{prim_type=1}(%1907, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2028
- %1909 = FuncGraph::fg_1891(%para689, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1892
- %1910 = Primitive::TupleGetItem{prim_type=1}(%1909, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2029
- %1911 = FuncGraph::fg_1894(%para690, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1895
- %1912 = Primitive::TupleGetItem{prim_type=1}(%1911, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2030
- %1913 = FuncGraph::fg_1897(%1904, %1906, %1908, %1910, %1912) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1914 = Primitive::TupleGetItem{prim_type=1}(%1913, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2031
- %1915 = FuncGraph::fg_1899(%1914, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1916 = Primitive::TupleGetItem{prim_type=1}(%1915, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2032
- %1917 = FuncGraph::fg_2033(%1916) #(Undefined) # fg_2033=▶ReLU.2033 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2034
- %1918 = Primitive::TupleGetItem{prim_type=1}(%1917, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/relu-ReLU
- # #[CNode]2035
- %1919 = FuncGraph::fg_2036(%para107, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2036=▶Load.2036 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]2037
- %1920 = Primitive::TupleGetItem{prim_type=1}(%1919, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2038
- %1921 = FuncGraph::fg_2039(%1918, %1920) #(Undefined, Undefined) # fg_2039=▶Conv2D.2039 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1922 = Primitive::TupleGetItem{prim_type=1}(%1921, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/conv2-Conv2d
- # #[CNode]2040
- %1923 = FuncGraph::fg_1885(%para108, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1886
- %1924 = Primitive::TupleGetItem{prim_type=1}(%1923, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2041
- %1925 = FuncGraph::fg_1888(%para109, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1889
- %1926 = Primitive::TupleGetItem{prim_type=1}(%1925, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2042
- %1927 = FuncGraph::fg_1891(%para657, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1892
- %1928 = Primitive::TupleGetItem{prim_type=1}(%1927, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2043
- %1929 = FuncGraph::fg_1894(%para658, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1895
- %1930 = Primitive::TupleGetItem{prim_type=1}(%1929, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2044
- %1931 = FuncGraph::fg_1897(%1922, %1924, %1926, %1928, %1930) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1932 = Primitive::TupleGetItem{prim_type=1}(%1931, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2045
- %1933 = FuncGraph::fg_1899(%1932, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1934 = Primitive::TupleGetItem{prim_type=1}(%1933, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2046
- %1935 = FuncGraph::fg_2033(%1934) #(Undefined) # fg_2033=▶ReLU.2033 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2034
- %1936 = Primitive::TupleGetItem{prim_type=1}(%1935, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/relu-ReLU
- # #[CNode]2047
- %1937 = FuncGraph::fg_2048(%para110, UMonad[U]) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) # fg_2048=▶Load.2048 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]2049
- %1938 = Primitive::TupleGetItem{prim_type=1}(%1937, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2050
- %1939 = FuncGraph::fg_2051(%1936, %1938) #(Undefined, Undefined) # fg_2051=▶Conv2D.2051 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1940 = Primitive::TupleGetItem{prim_type=1}(%1939, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/conv3-Conv2d
- # #[CNode]2052
- %1941 = FuncGraph::fg_1908(%para111, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1908=▶Load.1908 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1909
- %1942 = Primitive::TupleGetItem{prim_type=1}(%1941, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2053
- %1943 = FuncGraph::fg_1911(%para112, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1911=▶Load.1911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1912
- %1944 = Primitive::TupleGetItem{prim_type=1}(%1943, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2054
- %1945 = FuncGraph::fg_1914(%para721, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1914=▶Load.1914 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1915
- %1946 = Primitive::TupleGetItem{prim_type=1}(%1945, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2055
- %1947 = FuncGraph::fg_1917(%para722, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1917=▶Load.1917 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #▲[CNode]1918
- %1948 = Primitive::TupleGetItem{prim_type=1}(%1947, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock
- # #[CNode]2056
- %1949 = FuncGraph::fg_1920(%1940, %1942, %1944, %1946, %1948) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1920=▶BatchNorm.1920 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1921
- %1950 = Primitive::TupleGetItem{prim_type=1}(%1949, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2057
- %1951 = FuncGraph::fg_1923(%1950, I64(0)) #(Undefined, Undefined) # fg_1923=▶TupleGetItem.1923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1952 = Primitive::TupleGetItem{prim_type=1}(%1951, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2058
- %1953 = FuncGraph::fg_2059(%1952, %1900) #(Undefined, Undefined) # fg_2059=▶Add.2059 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %1954 = Primitive::TupleGetItem{prim_type=1}(%1953, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2060
- %1955 = FuncGraph::fg_2061(%1954) #(Undefined) # fg_2061=▶ReLU.2061 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2034
- %1956 = Primitive::TupleGetItem{prim_type=1}(%1955, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/3-ResidualBlock/relu-ReLU
- # #[CNode]2062
- %1957 = FuncGraph::fg_2063(%para113, UMonad[U]) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) # fg_2063=▶Load.2063 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]2064
- %1958 = Primitive::TupleGetItem{prim_type=1}(%1957, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2065
- %1959 = FuncGraph::fg_2066(%1956, %1958) #(Undefined, Undefined) # fg_2066=▶Conv2D.2066 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1960 = Primitive::TupleGetItem{prim_type=1}(%1959, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/conv1-Conv2d
- # #[CNode]2067
- %1961 = FuncGraph::fg_1885(%para114, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1886
- %1962 = Primitive::TupleGetItem{prim_type=1}(%1961, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2068
- %1963 = FuncGraph::fg_1888(%para115, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1889
- %1964 = Primitive::TupleGetItem{prim_type=1}(%1963, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2069
- %1965 = FuncGraph::fg_1891(%para691, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1892
- %1966 = Primitive::TupleGetItem{prim_type=1}(%1965, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2070
- %1967 = FuncGraph::fg_1894(%para692, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1895
- %1968 = Primitive::TupleGetItem{prim_type=1}(%1967, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2071
- %1969 = FuncGraph::fg_1897(%1960, %1962, %1964, %1966, %1968) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1970 = Primitive::TupleGetItem{prim_type=1}(%1969, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2072
- %1971 = FuncGraph::fg_1899(%1970, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1972 = Primitive::TupleGetItem{prim_type=1}(%1971, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2073
- %1973 = FuncGraph::fg_2074(%1972) #(Undefined) # fg_2074=▶ReLU.2074 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2075
- %1974 = Primitive::TupleGetItem{prim_type=1}(%1973, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/relu-ReLU
- # #[CNode]2076
- %1975 = FuncGraph::fg_2077(%para116, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2077=▶Load.2077 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]2078
- %1976 = Primitive::TupleGetItem{prim_type=1}(%1975, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2079
- %1977 = FuncGraph::fg_2080(%1974, %1976) #(Undefined, Undefined) # fg_2080=▶Conv2D.2080 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1978 = Primitive::TupleGetItem{prim_type=1}(%1977, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/conv2-Conv2d
- # #[CNode]2081
- %1979 = FuncGraph::fg_1885(%para117, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1886
- %1980 = Primitive::TupleGetItem{prim_type=1}(%1979, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2082
- %1981 = FuncGraph::fg_1888(%para118, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1889
- %1982 = Primitive::TupleGetItem{prim_type=1}(%1981, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2083
- %1983 = FuncGraph::fg_1891(%para659, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1892
- %1984 = Primitive::TupleGetItem{prim_type=1}(%1983, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2084
- %1985 = FuncGraph::fg_1894(%para660, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1895
- %1986 = Primitive::TupleGetItem{prim_type=1}(%1985, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2085
- %1987 = FuncGraph::fg_1897(%1978, %1980, %1982, %1984, %1986) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %1988 = Primitive::TupleGetItem{prim_type=1}(%1987, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2086
- %1989 = FuncGraph::fg_1899(%1988, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %1990 = Primitive::TupleGetItem{prim_type=1}(%1989, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2087
- %1991 = FuncGraph::fg_2074(%1990) #(Undefined) # fg_2074=▶ReLU.2074 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2075
- %1992 = Primitive::TupleGetItem{prim_type=1}(%1991, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/relu-ReLU
- # #[CNode]2088
- %1993 = FuncGraph::fg_2089(%para119, UMonad[U]) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) # fg_2089=▶Load.2089 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]2090
- %1994 = Primitive::TupleGetItem{prim_type=1}(%1993, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2091
- %1995 = FuncGraph::fg_2092(%1992, %1994) #(Undefined, Undefined) # fg_2092=▶Conv2D.2092 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %1996 = Primitive::TupleGetItem{prim_type=1}(%1995, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/conv3-Conv2d
- # #[CNode]2093
- %1997 = FuncGraph::fg_1908(%para120, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1908=▶Load.1908 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1909
- %1998 = Primitive::TupleGetItem{prim_type=1}(%1997, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2094
- %1999 = FuncGraph::fg_1911(%para121, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1911=▶Load.1911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1912
- %2000 = Primitive::TupleGetItem{prim_type=1}(%1999, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2095
- %2001 = FuncGraph::fg_1914(%para723, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1914=▶Load.1914 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1915
- %2002 = Primitive::TupleGetItem{prim_type=1}(%2001, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2096
- %2003 = FuncGraph::fg_1917(%para724, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1917=▶Load.1917 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #▲[CNode]1918
- %2004 = Primitive::TupleGetItem{prim_type=1}(%2003, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock
- # #[CNode]2097
- %2005 = FuncGraph::fg_1920(%1996, %1998, %2000, %2002, %2004) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1920=▶BatchNorm.1920 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1921
- %2006 = Primitive::TupleGetItem{prim_type=1}(%2005, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2098
- %2007 = FuncGraph::fg_1923(%2006, I64(0)) #(Undefined, Undefined) # fg_1923=▶TupleGetItem.1923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2008 = Primitive::TupleGetItem{prim_type=1}(%2007, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2099
- %2009 = FuncGraph::fg_2100(%2008, %1956) #(Undefined, Undefined) # fg_2100=▶Add.2100 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2010 = Primitive::TupleGetItem{prim_type=1}(%2009, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2101
- %2011 = FuncGraph::fg_2102(%2010) #(Undefined) # fg_2102=▶ReLU.2102 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2075
- %2012 = Primitive::TupleGetItem{prim_type=1}(%2011, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/4-ResidualBlock/relu-ReLU
- # #[CNode]2103
- %2013 = FuncGraph::fg_2104(%para122, UMonad[U]) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) # fg_2104=▶Load.2104 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #▲[CNode]2105
- %2014 = Primitive::TupleGetItem{prim_type=1}(%2013, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #[CNode]2106
- %2015 = FuncGraph::fg_2107(%2012, %2014) #(Undefined, Undefined) # fg_2107=▶Conv2D.2107 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2016 = Primitive::TupleGetItem{prim_type=1}(%2015, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/conv1-Conv2d
- # #[CNode]2108
- %2017 = FuncGraph::fg_1885(%para123, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #▲[CNode]1886
- %2018 = Primitive::TupleGetItem{prim_type=1}(%2017, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #[CNode]2109
- %2019 = FuncGraph::fg_1888(%para124, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #▲[CNode]1889
- %2020 = Primitive::TupleGetItem{prim_type=1}(%2019, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #[CNode]2110
- %2021 = FuncGraph::fg_1891(%para693, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #▲[CNode]1892
- %2022 = Primitive::TupleGetItem{prim_type=1}(%2021, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #[CNode]2111
- %2023 = FuncGraph::fg_1894(%para694, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #▲[CNode]1895
- %2024 = Primitive::TupleGetItem{prim_type=1}(%2023, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #[CNode]2112
- %2025 = FuncGraph::fg_1897(%2016, %2018, %2020, %2022, %2024) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %2026 = Primitive::TupleGetItem{prim_type=1}(%2025, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2113
- %2027 = FuncGraph::fg_1899(%2026, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2028 = Primitive::TupleGetItem{prim_type=1}(%2027, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2114
- %2029 = FuncGraph::fg_2115(%2028) #(Undefined) # fg_2115=▶ReLU.2115 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2116
- %2030 = Primitive::TupleGetItem{prim_type=1}(%2029, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/relu-ReLU
- # #[CNode]2117
- %2031 = FuncGraph::fg_2118(%para125, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2118=▶Load.2118 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #▲[CNode]2119
- %2032 = Primitive::TupleGetItem{prim_type=1}(%2031, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #[CNode]2120
- %2033 = FuncGraph::fg_2121(%2030, %2032) #(Undefined, Undefined) # fg_2121=▶Conv2D.2121 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2034 = Primitive::TupleGetItem{prim_type=1}(%2033, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/conv2-Conv2d
- # #[CNode]2122
- %2035 = FuncGraph::fg_1885(%para126, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1885=▶Load.1885 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1886
- %2036 = Primitive::TupleGetItem{prim_type=1}(%2035, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2123
- %2037 = FuncGraph::fg_1888(%para127, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1888=▶Load.1888 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1889
- %2038 = Primitive::TupleGetItem{prim_type=1}(%2037, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2124
- %2039 = FuncGraph::fg_1891(%para661, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1891=▶Load.1891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1892
- %2040 = Primitive::TupleGetItem{prim_type=1}(%2039, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2125
- %2041 = FuncGraph::fg_1894(%para662, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_1894=▶Load.1894 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]1895
- %2042 = Primitive::TupleGetItem{prim_type=1}(%2041, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2126
- %2043 = FuncGraph::fg_1897(%2034, %2036, %2038, %2040, %2042) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1897=▶BatchNorm.1897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1537
- %2044 = Primitive::TupleGetItem{prim_type=1}(%2043, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2127
- %2045 = FuncGraph::fg_1899(%2044, I64(0)) #(Undefined, Undefined) # fg_1899=▶TupleGetItem.1899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2046 = Primitive::TupleGetItem{prim_type=1}(%2045, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2128
- %2047 = FuncGraph::fg_2115(%2046) #(Undefined) # fg_2115=▶ReLU.2115 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2116
- %2048 = Primitive::TupleGetItem{prim_type=1}(%2047, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/relu-ReLU
- # #[CNode]2129
- %2049 = FuncGraph::fg_2130(%para128, UMonad[U]) #(Ref[Tensor(F32)][1024, 256, 1, 1], Undefined) # fg_2130=▶Load.2130 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #▲[CNode]2131
- %2050 = Primitive::TupleGetItem{prim_type=1}(%2049, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock
- # #[CNode]2132
- %2051 = FuncGraph::fg_2133(%2048, %2050) #(Undefined, Undefined) # fg_2133=▶Conv2D.2133 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2052 = Primitive::TupleGetItem{prim_type=1}(%2051, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/conv3-Conv2d
- # #[CNode]2134
- %2053 = FuncGraph::fg_1908(%para129, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1908=▶Load.1908 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #▲[CNode]1909
- %2054 = Primitive::TupleGetItem{prim_type=1}(%2053, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2135
- %2055 = FuncGraph::fg_1911(%para130, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1911=▶Load.1911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #▲[CNode]1912
- %2056 = Primitive::TupleGetItem{prim_type=1}(%2055, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2136
- %2057 = FuncGraph::fg_1914(%para725, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1914=▶Load.1914 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #▲[CNode]1915
- %2058 = Primitive::TupleGetItem{prim_type=1}(%2057, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2137
- %2059 = FuncGraph::fg_1917(%para726, UMonad[U]) #(Ref[Tensor(F32)][1024], Undefined) # fg_1917=▶Load.1917 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #▲[CNode]1918
- %2060 = Primitive::TupleGetItem{prim_type=1}(%2059, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2138
- %2061 = FuncGraph::fg_1920(%2052, %2054, %2056, %2058, %2060) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_1920=▶BatchNorm.1920 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1921
- %2062 = Primitive::TupleGetItem{prim_type=1}(%2061, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2139
- %2063 = FuncGraph::fg_1923(%2062, I64(0)) #(Undefined, Undefined) # fg_1923=▶TupleGetItem.1923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2064 = Primitive::TupleGetItem{prim_type=1}(%2063, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2140
- %2065 = FuncGraph::fg_2141(%2064, %2012) #(Undefined, Undefined) # fg_2141=▶Add.2141 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2066 = Primitive::TupleGetItem{prim_type=1}(%2065, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2142
- %2067 = FuncGraph::fg_2143(%2066) #(Undefined) # fg_2143=▶ReLU.2143 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2116
- %2068 = Primitive::TupleGetItem{prim_type=1}(%2067, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer3-SequentialCell/5-ResidualBlock/relu-ReLU
- # #[CNode]2144
- %2069 = FuncGraph::fg_2145(%para165, UMonad[U]) #(Ref[Tensor(F32)][256, 1024, 1, 1], Undefined) # fg_2145=▶Load.2145 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #▲[CNode]2146
- %2070 = Primitive::TupleGetItem{prim_type=1}(%2069, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2147
- %2071 = FuncGraph::fg_2148(%2068, %2070) #(Undefined, Undefined) # fg_2148=▶Conv2D.2148 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2072 = Primitive::TupleGetItem{prim_type=1}(%2071, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_4-Conv2d
- # #[CNode]2149
- %2073 = FuncGraph::fg_2150(%para166, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2150=▶Load.2150 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_4-Conv2d
- # #▲[CNode]2151
- %2074 = Primitive::TupleGetItem{prim_type=1}(%2073, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_4-Conv2d
- # #[CNode]2152
- %2075 = FuncGraph::fg_2153(%2072, %2074) #(Undefined, Undefined) # fg_2153=▶BiasAdd.2153 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2076 = Primitive::TupleGetItem{prim_type=1}(%2075, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_4-Conv2d
- # #[CNode]2154
- %2077 = FuncGraph::fg_2155(%para131, UMonad[U]) #(Ref[Tensor(F32)][512, 1024, 1, 1], Undefined) # fg_2155=▶Load.2155 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2156
- %2078 = Primitive::TupleGetItem{prim_type=1}(%2077, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2157
- %2079 = FuncGraph::fg_2158(%2068, %2078) #(Undefined, Undefined) # fg_2158=▶Conv2D.2158 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2080 = Primitive::TupleGetItem{prim_type=1}(%2079, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/conv1-Conv2d
- # #[CNode]2159
- %2081 = FuncGraph::fg_2160(%para132, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2160=▶Load.2160 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]2161
- %2082 = Primitive::TupleGetItem{prim_type=1}(%2081, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2162
- %2083 = FuncGraph::fg_2163(%para133, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2163=▶Load.2163 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]2164
- %2084 = Primitive::TupleGetItem{prim_type=1}(%2083, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2165
- %2085 = FuncGraph::fg_2166(%para695, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2166=▶Load.2166 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]2167
- %2086 = Primitive::TupleGetItem{prim_type=1}(%2085, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2168
- %2087 = FuncGraph::fg_2169(%para696, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2169=▶Load.2169 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]2170
- %2088 = Primitive::TupleGetItem{prim_type=1}(%2087, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2171
- %2089 = FuncGraph::fg_2172(%2080, %2082, %2084, %2086, %2088) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2172=▶BatchNorm.2172 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %2090 = Primitive::TupleGetItem{prim_type=1}(%2089, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2173
- %2091 = FuncGraph::fg_2174(%2090, I64(0)) #(Undefined, Undefined) # fg_2174=▶TupleGetItem.2174 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2092 = Primitive::TupleGetItem{prim_type=1}(%2091, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2175
- %2093 = FuncGraph::fg_2176(%2092) #(Undefined) # fg_2176=▶ReLU.2176 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2177
- %2094 = Primitive::TupleGetItem{prim_type=1}(%2093, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]2178
- %2095 = FuncGraph::fg_2179(%para134, UMonad[U]) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined) # fg_2179=▶Load.2179 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2180
- %2096 = Primitive::TupleGetItem{prim_type=1}(%2095, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2181
- %2097 = FuncGraph::fg_2182(%2094, %2096) #(Undefined, Undefined) # fg_2182=▶Conv2D.2182 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2098 = Primitive::TupleGetItem{prim_type=1}(%2097, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/conv2-Conv2d
- # #[CNode]2183
- %2099 = FuncGraph::fg_2184(%para135, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2184=▶Load.2184 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2185
- %2100 = Primitive::TupleGetItem{prim_type=1}(%2099, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2186
- %2101 = FuncGraph::fg_2187(%para136, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2187=▶Load.2187 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2188
- %2102 = Primitive::TupleGetItem{prim_type=1}(%2101, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2189
- %2103 = FuncGraph::fg_2190(%para663, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2190=▶Load.2190 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2191
- %2104 = Primitive::TupleGetItem{prim_type=1}(%2103, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2192
- %2105 = FuncGraph::fg_2193(%para664, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2193=▶Load.2193 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2194
- %2106 = Primitive::TupleGetItem{prim_type=1}(%2105, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2195
- %2107 = FuncGraph::fg_2196(%2098, %2100, %2102, %2104, %2106) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2196=▶BatchNorm.2196 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %2108 = Primitive::TupleGetItem{prim_type=1}(%2107, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2197
- %2109 = FuncGraph::fg_2198(%2108, I64(0)) #(Undefined, Undefined) # fg_2198=▶TupleGetItem.2198 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2110 = Primitive::TupleGetItem{prim_type=1}(%2109, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2199
- %2111 = FuncGraph::fg_2200(%2110) #(Undefined) # fg_2200=▶ReLU.2200 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2177
- %2112 = Primitive::TupleGetItem{prim_type=1}(%2111, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]2201
- %2113 = FuncGraph::fg_2202(%para137, UMonad[U]) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) # fg_2202=▶Load.2202 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2203
- %2114 = Primitive::TupleGetItem{prim_type=1}(%2113, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2204
- %2115 = FuncGraph::fg_2205(%2112, %2114) #(Undefined, Undefined) # fg_2205=▶Conv2D.2205 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2116 = Primitive::TupleGetItem{prim_type=1}(%2115, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/conv3-Conv2d
- # #[CNode]2206
- %2117 = FuncGraph::fg_2207(%para138, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2207=▶Load.2207 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2208
- %2118 = Primitive::TupleGetItem{prim_type=1}(%2117, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2209
- %2119 = FuncGraph::fg_2210(%para139, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2210=▶Load.2210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2211
- %2120 = Primitive::TupleGetItem{prim_type=1}(%2119, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2212
- %2121 = FuncGraph::fg_2213(%para727, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2213=▶Load.2213 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2214
- %2122 = Primitive::TupleGetItem{prim_type=1}(%2121, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2215
- %2123 = FuncGraph::fg_2216(%para728, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2216=▶Load.2216 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #▲[CNode]2217
- %2124 = Primitive::TupleGetItem{prim_type=1}(%2123, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock
- # #[CNode]2218
- %2125 = FuncGraph::fg_2219(%2116, %2118, %2120, %2122, %2124) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2219=▶BatchNorm.2219 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲2220
- %2126 = Primitive::TupleGetItem{prim_type=1}(%2125, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2221
- %2127 = FuncGraph::fg_2222(%2126, I64(0)) #(Undefined, Undefined) # fg_2222=▶TupleGetItem.2222 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2128 = Primitive::TupleGetItem{prim_type=1}(%2127, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2223
- %2129 = FuncGraph::fg_2224(%para140, UMonad[U]) #(Ref[Tensor(F32)][2048, 1024, 1, 1], Undefined) # fg_2224=▶Load.2224 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]2225
- %2130 = Primitive::TupleGetItem{prim_type=1}(%2129, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]2226
- %2131 = FuncGraph::fg_2227(%2068, %2130) #(Undefined, Undefined) # fg_2227=▶Conv2D.2227 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2132 = Primitive::TupleGetItem{prim_type=1}(%2131, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell/0-Conv2d
- # #[CNode]2228
- %2133 = FuncGraph::fg_2207(%para141, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2207=▶Load.2207 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]2208
- %2134 = Primitive::TupleGetItem{prim_type=1}(%2133, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]2229
- %2135 = FuncGraph::fg_2210(%para142, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2210=▶Load.2210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]2211
- %2136 = Primitive::TupleGetItem{prim_type=1}(%2135, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]2230
- %2137 = FuncGraph::fg_2213(%para743, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2213=▶Load.2213 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]2214
- %2138 = Primitive::TupleGetItem{prim_type=1}(%2137, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]2231
- %2139 = FuncGraph::fg_2216(%para744, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2216=▶Load.2216 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #▲[CNode]2217
- %2140 = Primitive::TupleGetItem{prim_type=1}(%2139, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/down_sample_layer-SequentialCell
- # #[CNode]2232
- %2141 = FuncGraph::fg_2219(%2132, %2134, %2136, %2138, %2140) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2219=▶BatchNorm.2219 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲2220
- %2142 = Primitive::TupleGetItem{prim_type=1}(%2141, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2233
- %2143 = FuncGraph::fg_2222(%2142, I64(0)) #(Undefined, Undefined) # fg_2222=▶TupleGetItem.2222 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2144 = Primitive::TupleGetItem{prim_type=1}(%2143, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2234
- %2145 = FuncGraph::fg_2235(%2128, %2144) #(Undefined, Undefined) # fg_2235=▶Add.2235 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2146 = Primitive::TupleGetItem{prim_type=1}(%2145, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2236
- %2147 = FuncGraph::fg_2237(%2146) #(Undefined) # fg_2237=▶ReLU.2237 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2177
- %2148 = Primitive::TupleGetItem{prim_type=1}(%2147, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/relu-ReLU
- # #[CNode]2238
- %2149 = FuncGraph::fg_2239(%para143, UMonad[U]) #(Ref[Tensor(F32)][512, 2048, 1, 1], Undefined) # fg_2239=▶Load.2239 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2240
- %2150 = Primitive::TupleGetItem{prim_type=1}(%2149, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2241
- %2151 = FuncGraph::fg_2242(%2148, %2150) #(Undefined, Undefined) # fg_2242=▶Conv2D.2242 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2152 = Primitive::TupleGetItem{prim_type=1}(%2151, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/conv1-Conv2d
- # #[CNode]2243
- %2153 = FuncGraph::fg_2184(%para144, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2184=▶Load.2184 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2185
- %2154 = Primitive::TupleGetItem{prim_type=1}(%2153, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2244
- %2155 = FuncGraph::fg_2187(%para145, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2187=▶Load.2187 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2188
- %2156 = Primitive::TupleGetItem{prim_type=1}(%2155, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2245
- %2157 = FuncGraph::fg_2190(%para697, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2190=▶Load.2190 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2191
- %2158 = Primitive::TupleGetItem{prim_type=1}(%2157, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2246
- %2159 = FuncGraph::fg_2193(%para698, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2193=▶Load.2193 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2194
- %2160 = Primitive::TupleGetItem{prim_type=1}(%2159, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2247
- %2161 = FuncGraph::fg_2196(%2152, %2154, %2156, %2158, %2160) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2196=▶BatchNorm.2196 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %2162 = Primitive::TupleGetItem{prim_type=1}(%2161, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2248
- %2163 = FuncGraph::fg_2198(%2162, I64(0)) #(Undefined, Undefined) # fg_2198=▶TupleGetItem.2198 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2164 = Primitive::TupleGetItem{prim_type=1}(%2163, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2249
- %2165 = FuncGraph::fg_2250(%2164) #(Undefined) # fg_2250=▶ReLU.2250 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2251
- %2166 = Primitive::TupleGetItem{prim_type=1}(%2165, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]2252
- %2167 = FuncGraph::fg_2253(%para146, UMonad[U]) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined) # fg_2253=▶Load.2253 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2254
- %2168 = Primitive::TupleGetItem{prim_type=1}(%2167, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2255
- %2169 = FuncGraph::fg_2256(%2166, %2168) #(Undefined, Undefined) # fg_2256=▶Conv2D.2256 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2170 = Primitive::TupleGetItem{prim_type=1}(%2169, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/conv2-Conv2d
- # #[CNode]2257
- %2171 = FuncGraph::fg_2184(%para147, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2184=▶Load.2184 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2185
- %2172 = Primitive::TupleGetItem{prim_type=1}(%2171, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2258
- %2173 = FuncGraph::fg_2187(%para148, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2187=▶Load.2187 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2188
- %2174 = Primitive::TupleGetItem{prim_type=1}(%2173, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2259
- %2175 = FuncGraph::fg_2190(%para665, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2190=▶Load.2190 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2191
- %2176 = Primitive::TupleGetItem{prim_type=1}(%2175, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2260
- %2177 = FuncGraph::fg_2193(%para666, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2193=▶Load.2193 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2194
- %2178 = Primitive::TupleGetItem{prim_type=1}(%2177, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2261
- %2179 = FuncGraph::fg_2196(%2170, %2172, %2174, %2176, %2178) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2196=▶BatchNorm.2196 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %2180 = Primitive::TupleGetItem{prim_type=1}(%2179, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2262
- %2181 = FuncGraph::fg_2198(%2180, I64(0)) #(Undefined, Undefined) # fg_2198=▶TupleGetItem.2198 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2182 = Primitive::TupleGetItem{prim_type=1}(%2181, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2263
- %2183 = FuncGraph::fg_2250(%2182) #(Undefined) # fg_2250=▶ReLU.2250 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2251
- %2184 = Primitive::TupleGetItem{prim_type=1}(%2183, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]2264
- %2185 = FuncGraph::fg_2265(%para149, UMonad[U]) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) # fg_2265=▶Load.2265 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2266
- %2186 = Primitive::TupleGetItem{prim_type=1}(%2185, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2267
- %2187 = FuncGraph::fg_2268(%2184, %2186) #(Undefined, Undefined) # fg_2268=▶Conv2D.2268 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2188 = Primitive::TupleGetItem{prim_type=1}(%2187, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/conv3-Conv2d
- # #[CNode]2269
- %2189 = FuncGraph::fg_2207(%para150, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2207=▶Load.2207 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2208
- %2190 = Primitive::TupleGetItem{prim_type=1}(%2189, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2270
- %2191 = FuncGraph::fg_2210(%para151, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2210=▶Load.2210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2211
- %2192 = Primitive::TupleGetItem{prim_type=1}(%2191, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2271
- %2193 = FuncGraph::fg_2213(%para729, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2213=▶Load.2213 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2214
- %2194 = Primitive::TupleGetItem{prim_type=1}(%2193, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2272
- %2195 = FuncGraph::fg_2216(%para730, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2216=▶Load.2216 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #▲[CNode]2217
- %2196 = Primitive::TupleGetItem{prim_type=1}(%2195, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock
- # #[CNode]2273
- %2197 = FuncGraph::fg_2219(%2188, %2190, %2192, %2194, %2196) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2219=▶BatchNorm.2219 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲2220
- %2198 = Primitive::TupleGetItem{prim_type=1}(%2197, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2274
- %2199 = FuncGraph::fg_2222(%2198, I64(0)) #(Undefined, Undefined) # fg_2222=▶TupleGetItem.2222 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2200 = Primitive::TupleGetItem{prim_type=1}(%2199, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2275
- %2201 = FuncGraph::fg_2276(%2200, %2148) #(Undefined, Undefined) # fg_2276=▶Add.2276 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2202 = Primitive::TupleGetItem{prim_type=1}(%2201, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2277
- %2203 = FuncGraph::fg_2278(%2202) #(Undefined) # fg_2278=▶ReLU.2278 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2251
- %2204 = Primitive::TupleGetItem{prim_type=1}(%2203, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/1-ResidualBlock/relu-ReLU
- # #[CNode]2279
- %2205 = FuncGraph::fg_2280(%para152, UMonad[U]) #(Ref[Tensor(F32)][512, 2048, 1, 1], Undefined) # fg_2280=▶Load.2280 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #▲[CNode]2281
- %2206 = Primitive::TupleGetItem{prim_type=1}(%2205, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #[CNode]2282
- %2207 = FuncGraph::fg_2283(%2204, %2206) #(Undefined, Undefined) # fg_2283=▶Conv2D.2283 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/conv1-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2208 = Primitive::TupleGetItem{prim_type=1}(%2207, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/conv1-Conv2d
- # #[CNode]2284
- %2209 = FuncGraph::fg_2184(%para153, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2184=▶Load.2184 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #▲[CNode]2185
- %2210 = Primitive::TupleGetItem{prim_type=1}(%2209, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #[CNode]2285
- %2211 = FuncGraph::fg_2187(%para154, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2187=▶Load.2187 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #▲[CNode]2188
- %2212 = Primitive::TupleGetItem{prim_type=1}(%2211, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #[CNode]2286
- %2213 = FuncGraph::fg_2190(%para699, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2190=▶Load.2190 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #▲[CNode]2191
- %2214 = Primitive::TupleGetItem{prim_type=1}(%2213, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #[CNode]2287
- %2215 = FuncGraph::fg_2193(%para700, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2193=▶Load.2193 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #▲[CNode]2194
- %2216 = Primitive::TupleGetItem{prim_type=1}(%2215, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #[CNode]2288
- %2217 = FuncGraph::fg_2196(%2208, %2210, %2212, %2214, %2216) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2196=▶BatchNorm.2196 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %2218 = Primitive::TupleGetItem{prim_type=1}(%2217, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2289
- %2219 = FuncGraph::fg_2198(%2218, I64(0)) #(Undefined, Undefined) # fg_2198=▶TupleGetItem.2198 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2220 = Primitive::TupleGetItem{prim_type=1}(%2219, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2290
- %2221 = FuncGraph::fg_2291(%2220) #(Undefined) # fg_2291=▶ReLU.2291 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2292
- %2222 = Primitive::TupleGetItem{prim_type=1}(%2221, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]2293
- %2223 = FuncGraph::fg_2294(%para155, UMonad[U]) #(Ref[Tensor(F32)][512, 512, 3, 3], Undefined) # fg_2294=▶Load.2294 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #▲[CNode]2295
- %2224 = Primitive::TupleGetItem{prim_type=1}(%2223, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #[CNode]2296
- %2225 = FuncGraph::fg_2297(%2222, %2224) #(Undefined, Undefined) # fg_2297=▶Conv2D.2297 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/conv2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2226 = Primitive::TupleGetItem{prim_type=1}(%2225, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/conv2-Conv2d
- # #[CNode]2298
- %2227 = FuncGraph::fg_2184(%para156, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2184=▶Load.2184 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]2185
- %2228 = Primitive::TupleGetItem{prim_type=1}(%2227, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2299
- %2229 = FuncGraph::fg_2187(%para157, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2187=▶Load.2187 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]2188
- %2230 = Primitive::TupleGetItem{prim_type=1}(%2229, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2300
- %2231 = FuncGraph::fg_2190(%para667, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2190=▶Load.2190 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]2191
- %2232 = Primitive::TupleGetItem{prim_type=1}(%2231, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2301
- %2233 = FuncGraph::fg_2193(%para668, UMonad[U]) #(Ref[Tensor(F32)][512], Undefined) # fg_2193=▶Load.2193 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #▲[CNode]2194
- %2234 = Primitive::TupleGetItem{prim_type=1}(%2233, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2302
- %2235 = FuncGraph::fg_2196(%2226, %2228, %2230, %2232, %2234) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2196=▶BatchNorm.2196 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲1704
- %2236 = Primitive::TupleGetItem{prim_type=1}(%2235, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn2-BatchNorm2d
- # #[CNode]2303
- %2237 = FuncGraph::fg_2198(%2236, I64(0)) #(Undefined, Undefined) # fg_2198=▶TupleGetItem.2198 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2238 = Primitive::TupleGetItem{prim_type=1}(%2237, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2304
- %2239 = FuncGraph::fg_2291(%2238) #(Undefined) # fg_2291=▶ReLU.2291 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2292
- %2240 = Primitive::TupleGetItem{prim_type=1}(%2239, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]2305
- %2241 = FuncGraph::fg_2306(%para158, UMonad[U]) #(Ref[Tensor(F32)][2048, 512, 1, 1], Undefined) # fg_2306=▶Load.2306 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #▲[CNode]2307
- %2242 = Primitive::TupleGetItem{prim_type=1}(%2241, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock
- # #[CNode]2308
- %2243 = FuncGraph::fg_2309(%2240, %2242) #(Undefined, Undefined) # fg_2309=▶Conv2D.2309 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/conv3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2244 = Primitive::TupleGetItem{prim_type=1}(%2243, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/conv3-Conv2d
- # #[CNode]2310
- %2245 = FuncGraph::fg_2207(%para159, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2207=▶Load.2207 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #▲[CNode]2208
- %2246 = Primitive::TupleGetItem{prim_type=1}(%2245, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2311
- %2247 = FuncGraph::fg_2210(%para160, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2210=▶Load.2210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #▲[CNode]2211
- %2248 = Primitive::TupleGetItem{prim_type=1}(%2247, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2312
- %2249 = FuncGraph::fg_2213(%para731, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2213=▶Load.2213 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #▲[CNode]2214
- %2250 = Primitive::TupleGetItem{prim_type=1}(%2249, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2313
- %2251 = FuncGraph::fg_2216(%para732, UMonad[U]) #(Ref[Tensor(F32)][2048], Undefined) # fg_2216=▶Load.2216 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #▲[CNode]2217
- %2252 = Primitive::TupleGetItem{prim_type=1}(%2251, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2314
- %2253 = FuncGraph::fg_2219(%2244, %2246, %2248, %2250, %2252) #(Undefined, Undefined, Undefined, Undefined, Undefined) # fg_2219=▶BatchNorm.2219 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(199)/ return self.bn_train(x,/#▲2220
- %2254 = Primitive::TupleGetItem{prim_type=1}(%2253, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/0-ResidualBlock/bn3-BatchNorm2d
- # #[CNode]2315
- %2255 = FuncGraph::fg_2222(%2254, I64(0)) #(Undefined, Undefined) # fg_2222=▶TupleGetItem.2222 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(88)/ return F.tuple_getitem(data, number_index)/#▲[CNode]1477
- %2256 = Primitive::TupleGetItem{prim_type=1}(%2255, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/bn1-BatchNorm2d
- # #[CNode]2316
- %2257 = FuncGraph::fg_2317(%2256, %2204) #(Undefined, Undefined) # fg_2317=▶Add.2317 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2258 = Primitive::TupleGetItem{prim_type=1}(%2257, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2318
- %2259 = FuncGraph::fg_2319(%2258) #(Undefined) # fg_2319=▶ReLU.2319 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/relu-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2292
- %2260 = Primitive::TupleGetItem{prim_type=1}(%2259, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer4-SequentialCell/2-ResidualBlock/relu-ReLU
- # #[CNode]2320
- %2261 = FuncGraph::fg_2321(%para163, UMonad[U]) #(Ref[Tensor(F32)][256, 2048, 1, 1], Undefined) # fg_2321=▶Load.2321 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #▲[CNode]2322
- %2262 = Primitive::TupleGetItem{prim_type=1}(%2261, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2323
- %2263 = FuncGraph::fg_2324(%2260, %2262) #(Undefined, Undefined) # fg_2324=▶Conv2D.2324 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_5-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2264 = Primitive::TupleGetItem{prim_type=1}(%2263, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_5-Conv2d
- # #[CNode]2325
- %2265 = FuncGraph::fg_2326(%para164, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2326=▶Load.2326 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_5-Conv2d
- # #▲[CNode]2327
- %2266 = Primitive::TupleGetItem{prim_type=1}(%2265, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_5-Conv2d
- # #[CNode]2328
- %2267 = FuncGraph::fg_2329(%2264, %2266) #(Undefined, Undefined) # fg_2329=▶BiasAdd.2329 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_5-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2268 = Primitive::TupleGetItem{prim_type=1}(%2267, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/prj_5-Conv2d
- # #[CNode]2330
- %2269 = FuncGraph::fg_2331(%2268) #(Undefined) # fg_2331=▶ResizeNearestNeighbor.2331 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # In file /home/zsl_2/model/fpn_neck.py(50)/ return resize(src)//#▲[CNode]2332
- %2270 = Primitive::TupleGetItem{prim_type=1}(%2269, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2333
- %2271 = FuncGraph::fg_2334(%2076, %2270) #(Undefined, Undefined) # fg_2334=▶Add.2334 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2272 = Primitive::TupleGetItem{prim_type=1}(%2271, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2335
- %2273 = FuncGraph::fg_2336(%2272) #(Undefined) # fg_2336=▶ResizeNearestNeighbor.2336 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # In file /home/zsl_2/model/fpn_neck.py(50)/ return resize(src)//#▲[CNode]2332
- %2274 = Primitive::TupleGetItem{prim_type=1}(%2273, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2337
- %2275 = FuncGraph::fg_2338(%1716, %2274) #(Undefined, Undefined) # fg_2338=▶Add.2338 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2276 = Primitive::TupleGetItem{prim_type=1}(%2275, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2339
- %2277 = FuncGraph::fg_2340(%para173, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2340=▶Load.2340 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #▲[CNode]2341
- %2278 = Primitive::TupleGetItem{prim_type=1}(%2277, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2342
- %2279 = FuncGraph::fg_2343(%2276, %2278) #(Undefined, Undefined) # fg_2343=▶Conv2D.2343 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2280 = Primitive::TupleGetItem{prim_type=1}(%2279, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_3-Conv2d
- # #[CNode]2344
- %2281 = FuncGraph::fg_2345(%para174, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2345=▶Load.2345 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_3-Conv2d
- # #▲[CNode]2346
- %2282 = Primitive::TupleGetItem{prim_type=1}(%2281, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_3-Conv2d
- # #[CNode]2347
- %2283 = FuncGraph::fg_2348(%2280, %2282) #(Undefined, Undefined) # fg_2348=▶BiasAdd.2348 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2284 = Primitive::TupleGetItem{prim_type=1}(%2283, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_3-Conv2d
- # #[CNode]2349
- %2285 = FuncGraph::fg_2350(%para179, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2350=▶Load.2350 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2351
- %2286 = Primitive::TupleGetItem{prim_type=1}(%2285, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2352
- %2287 = FuncGraph::fg_2353(%2284, %2286) #(Undefined, Undefined) # fg_2353=▶Conv2D.2353 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2288 = Primitive::TupleGetItem{prim_type=1}(%2287, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2354
- %2289 = FuncGraph::fg_2355(%para180, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2355=▶Load.2355 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #▲[CNode]2356
- %2290 = Primitive::TupleGetItem{prim_type=1}(%2289, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2357
- %2291 = FuncGraph::fg_2358(%2288, %2290) #(Undefined, Undefined) # fg_2358=▶BiasAdd.2358 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2292 = Primitive::TupleGetItem{prim_type=1}(%2291, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2359
- %2293 = FuncGraph::fg_2360(%2292) #(Undefined) # fg_2360=▶ReLU.2360 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2361
- %2294 = Primitive::TupleGetItem{prim_type=1}(%2293, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # #[CNode]2362
- %2295 = FuncGraph::fg_2363(%para181, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2363=▶Load.2363 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2364
- %2296 = Primitive::TupleGetItem{prim_type=1}(%2295, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2365
- %2297 = FuncGraph::fg_2366(%2294, %2296) #(Undefined, Undefined) # fg_2366=▶Conv2D.2366 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2298 = Primitive::TupleGetItem{prim_type=1}(%2297, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2367
- %2299 = FuncGraph::fg_2368(%para182, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2368=▶Load.2368 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #▲[CNode]2369
- %2300 = Primitive::TupleGetItem{prim_type=1}(%2299, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2370
- %2301 = FuncGraph::fg_2371(%2298, %2300) #(Undefined, Undefined) # fg_2371=▶BiasAdd.2371 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2302 = Primitive::TupleGetItem{prim_type=1}(%2301, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2372
- %2303 = FuncGraph::fg_2373(%2302) #(Undefined) # fg_2373=▶ReLU.2373 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2374
- %2304 = Primitive::TupleGetItem{prim_type=1}(%2303, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # #[CNode]2375
- %2305 = FuncGraph::fg_2376(%para183, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2376=▶Load.2376 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2377
- %2306 = Primitive::TupleGetItem{prim_type=1}(%2305, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2378
- %2307 = FuncGraph::fg_2379(%2304, %2306) #(Undefined, Undefined) # fg_2379=▶Conv2D.2379 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2308 = Primitive::TupleGetItem{prim_type=1}(%2307, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2380
- %2309 = FuncGraph::fg_2381(%para184, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2381=▶Load.2381 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #▲[CNode]2382
- %2310 = Primitive::TupleGetItem{prim_type=1}(%2309, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2383
- %2311 = FuncGraph::fg_2384(%2308, %2310) #(Undefined, Undefined) # fg_2384=▶BiasAdd.2384 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2312 = Primitive::TupleGetItem{prim_type=1}(%2311, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2385
- %2313 = FuncGraph::fg_2386(%2312) #(Undefined) # fg_2386=▶ReLU.2386 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2387
- %2314 = Primitive::TupleGetItem{prim_type=1}(%2313, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # #[CNode]2388
- %2315 = FuncGraph::fg_2389(%para185, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2389=▶Load.2389 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2390
- %2316 = Primitive::TupleGetItem{prim_type=1}(%2315, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2391
- %2317 = FuncGraph::fg_2392(%2314, %2316) #(Undefined, Undefined) # fg_2392=▶Conv2D.2392 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2318 = Primitive::TupleGetItem{prim_type=1}(%2317, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2393
- %2319 = FuncGraph::fg_2394(%para186, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2394=▶Load.2394 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #▲[CNode]2395
- %2320 = Primitive::TupleGetItem{prim_type=1}(%2319, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2396
- %2321 = FuncGraph::fg_2397(%2318, %2320) #(Undefined, Undefined) # fg_2397=▶BiasAdd.2397 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2322 = Primitive::TupleGetItem{prim_type=1}(%2321, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2398
- %2323 = FuncGraph::fg_2399(%2322) #(Undefined) # fg_2399=▶ReLU.2399 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2400
- %2324 = Primitive::TupleGetItem{prim_type=1}(%2323, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # #[CNode]2401
- %2325 = FuncGraph::fg_2402(%para203, UMonad[U]) #(Ref[Tensor(F32)][80, 256, 3, 3], Undefined) # fg_2402=▶Load.2402 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]2403
- %2326 = Primitive::TupleGetItem{prim_type=1}(%2325, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2404
- %2327 = FuncGraph::fg_2405(%2324, %2326) #(Undefined, Undefined) # fg_2405=▶Conv2D.2405 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2328 = Primitive::TupleGetItem{prim_type=1}(%2327, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2406
- %2329 = FuncGraph::fg_2407(%para204, UMonad[U]) #(Ref[Tensor(F32)][80], Undefined) # fg_2407=▶Load.2407 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #▲[CNode]2408
- %2330 = Primitive::TupleGetItem{prim_type=1}(%2329, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2409
- %2331 = FuncGraph::fg_2410(%2328, %2330) #(Undefined, Undefined) # fg_2410=▶BiasAdd.2410 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2332 = Primitive::TupleGetItem{prim_type=1}(%2331, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2411
- %2333 = FuncGraph::fg_2412(%2332, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_2412=▶Transpose.2412 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(299)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %2334 = Primitive::TupleGetItem{prim_type=1}(%2333, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2413
- %2335 = FuncGraph::fg_2414(%2334, (I64(4), I64(-1), I64(80))) #(Undefined, Undefined) # fg_2414=▶Reshape.2414 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(300)/ pred = ops.Reshape()(pred, (batch_size, -1, class_num))/#▲pred
- %2336 = Primitive::TupleGetItem{prim_type=1}(%2335, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2415
- %2337 = FuncGraph::fg_2416(%para171, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2416=▶Load.2416 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #▲[CNode]2417
- %2338 = Primitive::TupleGetItem{prim_type=1}(%2337, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2418
- %2339 = FuncGraph::fg_2419(%2272, %2338) #(Undefined, Undefined) # fg_2419=▶Conv2D.2419 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2340 = Primitive::TupleGetItem{prim_type=1}(%2339, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_4-Conv2d
- # #[CNode]2420
- %2341 = FuncGraph::fg_2421(%para172, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2421=▶Load.2421 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_4-Conv2d
- # #▲[CNode]2422
- %2342 = Primitive::TupleGetItem{prim_type=1}(%2341, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_4-Conv2d
- # #[CNode]2423
- %2343 = FuncGraph::fg_2424(%2340, %2342) #(Undefined, Undefined) # fg_2424=▶BiasAdd.2424 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2344 = Primitive::TupleGetItem{prim_type=1}(%2343, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_4-Conv2d
- # #[CNode]2425
- %2345 = FuncGraph::fg_2426(%para179, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2426=▶Load.2426 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2427
- %2346 = Primitive::TupleGetItem{prim_type=1}(%2345, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2428
- %2347 = FuncGraph::fg_2429(%2344, %2346) #(Undefined, Undefined) # fg_2429=▶Conv2D.2429 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2348 = Primitive::TupleGetItem{prim_type=1}(%2347, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2430
- %2349 = FuncGraph::fg_2431(%para180, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2431=▶Load.2431 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #▲[CNode]2432
- %2350 = Primitive::TupleGetItem{prim_type=1}(%2349, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2433
- %2351 = FuncGraph::fg_2434(%2348, %2350) #(Undefined, Undefined) # fg_2434=▶BiasAdd.2434 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2352 = Primitive::TupleGetItem{prim_type=1}(%2351, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2435
- %2353 = FuncGraph::fg_2436(%2352) #(Undefined) # fg_2436=▶ReLU.2436 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2361
- %2354 = Primitive::TupleGetItem{prim_type=1}(%2353, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # #[CNode]2437
- %2355 = FuncGraph::fg_2438(%para181, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2438=▶Load.2438 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2439
- %2356 = Primitive::TupleGetItem{prim_type=1}(%2355, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2440
- %2357 = FuncGraph::fg_2441(%2354, %2356) #(Undefined, Undefined) # fg_2441=▶Conv2D.2441 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2358 = Primitive::TupleGetItem{prim_type=1}(%2357, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2442
- %2359 = FuncGraph::fg_2443(%para182, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2443=▶Load.2443 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #▲[CNode]2444
- %2360 = Primitive::TupleGetItem{prim_type=1}(%2359, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2445
- %2361 = FuncGraph::fg_2446(%2358, %2360) #(Undefined, Undefined) # fg_2446=▶BiasAdd.2446 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2362 = Primitive::TupleGetItem{prim_type=1}(%2361, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2447
- %2363 = FuncGraph::fg_2448(%2362) #(Undefined) # fg_2448=▶ReLU.2448 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2374
- %2364 = Primitive::TupleGetItem{prim_type=1}(%2363, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # #[CNode]2449
- %2365 = FuncGraph::fg_2450(%para183, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2450=▶Load.2450 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2451
- %2366 = Primitive::TupleGetItem{prim_type=1}(%2365, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2452
- %2367 = FuncGraph::fg_2453(%2364, %2366) #(Undefined, Undefined) # fg_2453=▶Conv2D.2453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2368 = Primitive::TupleGetItem{prim_type=1}(%2367, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2454
- %2369 = FuncGraph::fg_2455(%para184, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2455=▶Load.2455 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #▲[CNode]2456
- %2370 = Primitive::TupleGetItem{prim_type=1}(%2369, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2457
- %2371 = FuncGraph::fg_2458(%2368, %2370) #(Undefined, Undefined) # fg_2458=▶BiasAdd.2458 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2372 = Primitive::TupleGetItem{prim_type=1}(%2371, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2459
- %2373 = FuncGraph::fg_2460(%2372) #(Undefined) # fg_2460=▶ReLU.2460 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2387
- %2374 = Primitive::TupleGetItem{prim_type=1}(%2373, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # #[CNode]2461
- %2375 = FuncGraph::fg_2462(%para185, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2462=▶Load.2462 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2463
- %2376 = Primitive::TupleGetItem{prim_type=1}(%2375, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2464
- %2377 = FuncGraph::fg_2465(%2374, %2376) #(Undefined, Undefined) # fg_2465=▶Conv2D.2465 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2378 = Primitive::TupleGetItem{prim_type=1}(%2377, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2466
- %2379 = FuncGraph::fg_2467(%para186, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2467=▶Load.2467 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #▲[CNode]2468
- %2380 = Primitive::TupleGetItem{prim_type=1}(%2379, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2469
- %2381 = FuncGraph::fg_2470(%2378, %2380) #(Undefined, Undefined) # fg_2470=▶BiasAdd.2470 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2382 = Primitive::TupleGetItem{prim_type=1}(%2381, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2471
- %2383 = FuncGraph::fg_2472(%2382) #(Undefined) # fg_2472=▶ReLU.2472 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2400
- %2384 = Primitive::TupleGetItem{prim_type=1}(%2383, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # #[CNode]2473
- %2385 = FuncGraph::fg_2474(%para203, UMonad[U]) #(Ref[Tensor(F32)][80, 256, 3, 3], Undefined) # fg_2474=▶Load.2474 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]2475
- %2386 = Primitive::TupleGetItem{prim_type=1}(%2385, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2476
- %2387 = FuncGraph::fg_2477(%2384, %2386) #(Undefined, Undefined) # fg_2477=▶Conv2D.2477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2388 = Primitive::TupleGetItem{prim_type=1}(%2387, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2478
- %2389 = FuncGraph::fg_2479(%para204, UMonad[U]) #(Ref[Tensor(F32)][80], Undefined) # fg_2479=▶Load.2479 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #▲[CNode]2480
- %2390 = Primitive::TupleGetItem{prim_type=1}(%2389, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2481
- %2391 = FuncGraph::fg_2482(%2388, %2390) #(Undefined, Undefined) # fg_2482=▶BiasAdd.2482 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2392 = Primitive::TupleGetItem{prim_type=1}(%2391, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2483
- %2393 = FuncGraph::fg_2484(%para212, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_2484=▶Load.2484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/3-ScaleExp
- # #▲[CNode]2485
- %2394 = Primitive::TupleGetItem{prim_type=1}(%2393, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/3-ScaleExp
- # #[CNode]2486
- %2395 = FuncGraph::fg_2487(%para211, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_2487=▶Load.2487 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/2-ScaleExp
- # #▲[CNode]2488
- %2396 = Primitive::TupleGetItem{prim_type=1}(%2395, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/2-ScaleExp
- # #[CNode]2489
- %2397 = FuncGraph::fg_2490(%para209, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_2490=▶Load.2490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/0-ScaleExp
- # #▲[CNode]2491
- %2398 = Primitive::TupleGetItem{prim_type=1}(%2397, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/0-ScaleExp
- # #[CNode]2492
- %2399 = FuncGraph::fg_2493(%para206, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_2493=▶Load.2493 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #▲[CNode]2494
- %2400 = Primitive::TupleGetItem{prim_type=1}(%2399, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]2495
- %2401 = FuncGraph::fg_2496(%para205, UMonad[U]) #(Ref[Tensor(F32)][1, 256, 3, 3], Undefined) # fg_2496=▶Load.2496 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]2497
- %2402 = Primitive::TupleGetItem{prim_type=1}(%2401, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2498
- %2403 = FuncGraph::fg_2499(%para207, UMonad[U]) #(Ref[Tensor(F32)][4, 256, 3, 3], Undefined) # fg_2499=▶Load.2499 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]2500
- %2404 = Primitive::TupleGetItem{prim_type=1}(%2403, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2501
- %2405 = FuncGraph::fg_2502(%para208, UMonad[U]) #(Ref[Tensor(F32)][4], Undefined) # fg_2502=▶Load.2502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #▲[CNode]2503
- %2406 = Primitive::TupleGetItem{prim_type=1}(%2405, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]2504
- %2407 = FuncGraph::fg_2505(%para202, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2505=▶Load.2505 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]2506
- %2408 = Primitive::TupleGetItem{prim_type=1}(%2407, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]2507
- %2409 = FuncGraph::fg_2508(%para201, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2508=▶Load.2508 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]2509
- %2410 = Primitive::TupleGetItem{prim_type=1}(%2409, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]2510
- %2411 = FuncGraph::fg_2511(%para196, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2511=▶Load.2511 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #▲[CNode]2512
- %2412 = Primitive::TupleGetItem{prim_type=1}(%2411, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]2513
- %2413 = FuncGraph::fg_2514(%para161, UMonad[U]) #(Ref[Tensor(F32)][1001, 2048], Undefined) # fg_2514=▶Load.2514 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/end_point-Dense
- # #▲[CNode]2515
- %2414 = Primitive::TupleGetItem{prim_type=1}(%2413, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/end_point-Dense
- # #[CNode]2516
- %2415 = FuncGraph::fg_2517(%para162, UMonad[U]) #(Ref[Tensor(F32)][1001], Undefined) # fg_2517=▶Load.2517 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/end_point-Dense
- # #▲[CNode]2518
- %2416 = Primitive::TupleGetItem{prim_type=1}(%2415, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/end_point-Dense
- # #[CNode]2519
- %2417 = FuncGraph::fg_2520(%para176, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2520=▶Load.2520 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out6-Conv2d
- # #▲[CNode]2521
- %2418 = Primitive::TupleGetItem{prim_type=1}(%2417, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out6-Conv2d
- # #[CNode]2522
- %2419 = FuncGraph::fg_2523(%para175, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2523=▶Load.2523 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #▲[CNode]2524
- %2420 = Primitive::TupleGetItem{prim_type=1}(%2419, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2525
- %2421 = FuncGraph::fg_2526(%para178, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2526=▶Load.2526 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out7-Conv2d
- # #▲[CNode]2527
- %2422 = Primitive::TupleGetItem{prim_type=1}(%2421, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out7-Conv2d
- # #[CNode]2528
- %2423 = FuncGraph::fg_2529(%para177, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2529=▶Load.2529 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #▲[CNode]2530
- %2424 = Primitive::TupleGetItem{prim_type=1}(%2423, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2531
- %2425 = FuncGraph::fg_2532(%para170, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2532=▶Load.2532 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_5-Conv2d
- # #▲[CNode]2533
- %2426 = Primitive::TupleGetItem{prim_type=1}(%2425, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_5-Conv2d
- # #[CNode]2534
- %2427 = FuncGraph::fg_2535(%para169, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2535=▶Load.2535 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #▲[CNode]2536
- %2428 = Primitive::TupleGetItem{prim_type=1}(%2427, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2537
- %2429 = FuncGraph::fg_2538(%para194, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2538=▶Load.2538 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]2539
- %2430 = Primitive::TupleGetItem{prim_type=1}(%2429, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]2540
- %2431 = FuncGraph::fg_2541(%para193, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2541=▶Load.2541 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]2542
- %2432 = Primitive::TupleGetItem{prim_type=1}(%2431, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]2543
- %2433 = FuncGraph::fg_2544(%para191, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2544=▶Load.2544 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]2545
- %2434 = Primitive::TupleGetItem{prim_type=1}(%2433, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]2546
- %2435 = FuncGraph::fg_2547(%para188, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2547=▶Load.2547 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #▲[CNode]2548
- %2436 = Primitive::TupleGetItem{prim_type=1}(%2435, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]2549
- %2437 = FuncGraph::fg_2550(%para187, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2550=▶Load.2550 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]2551
- %2438 = Primitive::TupleGetItem{prim_type=1}(%2437, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]2552
- %2439 = FuncGraph::fg_2553(%para189, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2553=▶Load.2553 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]2554
- %2440 = Primitive::TupleGetItem{prim_type=1}(%2439, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2555
- %2441 = FuncGraph::fg_2556(%para190, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2556=▶Load.2556 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]2557
- %2442 = Primitive::TupleGetItem{prim_type=1}(%2441, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2558
- %2443 = FuncGraph::fg_2559(%para192, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2559=▶Load.2559 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #▲[CNode]2560
- %2444 = Primitive::TupleGetItem{prim_type=1}(%2443, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]2561
- %2445 = FuncGraph::fg_2562(%para195, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2562=▶Load.2562 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]2563
- %2446 = Primitive::TupleGetItem{prim_type=1}(%2445, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]2564
- %2447 = FuncGraph::fg_2565(%para197, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2565=▶Load.2565 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]2566
- %2448 = Primitive::TupleGetItem{prim_type=1}(%2447, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]2567
- %2449 = FuncGraph::fg_2568(%para198, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2568=▶Load.2568 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]2569
- %2450 = Primitive::TupleGetItem{prim_type=1}(%2449, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]2570
- %2451 = FuncGraph::fg_2571(%para199, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2571=▶Load.2571 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]2572
- %2452 = Primitive::TupleGetItem{prim_type=1}(%2451, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]2573
- %2453 = FuncGraph::fg_2574(%para200, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2574=▶Load.2574 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #▲[CNode]2575
- %2454 = Primitive::TupleGetItem{prim_type=1}(%2453, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]2576
- %2455 = FuncGraph::fg_2577(%para210, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_2577=▶Load.2577 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/1-ScaleExp
- # #▲[CNode]2578
- %2456 = Primitive::TupleGetItem{prim_type=1}(%2455, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/1-ScaleExp
- # #[CNode]2579
- %2457 = FuncGraph::fg_2580(%para213, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_2580=▶Load.2580 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/4-ScaleExp
- # #▲[CNode]2581
- %2458 = Primitive::TupleGetItem{prim_type=1}(%2457, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/4-ScaleExp
- # #[CNode]2582
- %2459 = MakeTupleGradient::make_tuple_gradient(%2394, %2396, %2398, %2400, %2330, %2326, %2402, %2404, %2406, %2408, %2410, %2412, %2316, %2306, %2296, %2414, %2416, %2290, %1710, %1714, %2418, %2420, %2422, %2424, %2426, %2342, %2278, %2282, %2338, %2428, %2074, %2070, %2262, %2266, %2286, %2300, %2310, %2246, %2248, %2250, %2252, %2320, %2430, %2432, %2434, %2436, %2438, %2440, %2442, %2444, %2186, %2168, %2150, %2160, %2158, %2156, %2154, %2178, %2176, %2174, %2172, %2242, %2224, %2206, %2190, %2192, %2194, %2196, %2216, %2214, %2212, %2210, %2234, %2232, %2230, %2228, %2446, %2134, %2136, %2138, %2140, %2448, %2450, %1532, %1530, %1528, %1526, %1758, %1760, %1762, %1764, %1676, %1678, %1680, %1682, %1658, %1660, %1662, %1664, %1654, %1672, %1690, %1638, %1640, %1642, %1644, %1578, %1560, %1542, %1552, %1550, %1548, %1546, %1570, %1568, %1566, %1564, %1634, %1616, %1598, %1582, %1584, %1586, %1588, %1608, %1606, %1604, %1602, %1626, %1624, %1622, %1620, %1754, %1736, %1718, %1728, %1726, %1724, %1722, %1746, %1744, %1742, %1740, %1694, %1696, %1698, %1700, %1770, %1510, %1512, %1514, %1516, %1450, %1394, %1376, %1358, %1368, %1366, %1364, %1362, %1386, %1384, %1382, %1380, %1436, %1438, %1440, %1442, %1418, %1420, %1422, %1424, %1404, %1402, %1400, %1398, %1414, %1432, %1506, %1492, %1494, %1496, %1498, %1460, %1458, %1456, %1454, %1488, %1470, %1480, %1478, %1476, %1474, %1522, %1780, %1778, %1776, %1774, %2130, %1994, %1976, %1958, %1968, %1966, %1964, %1962, %1986, %1984, %1982, %1980, %2004, %2002, %2000, %1998, %1924, %1926, %1928, %1930, %1906, %1908, %1910, %1912, %1902, %1920, %1938, %1886, %1888, %1890, %1892, %1826, %1808, %1790, %1800, %1798, %1796, %1794, %1818, %1816, %1814, %1812, %1882, %1864, %1846, %1830, %1832, %1834, %1836, %1856, %1854, %1852, %1850, %1874, %1872, %1870, %1868, %1948, %1946, %1944, %1942, %2054, %2056, %2058, %2060, %2036, %2038, %2040, %2042, %2018, %2020, %2022, %2024, %2014, %2032, %2050, %2118, %2120, %2122, %2124, %2100, %2102, %2104, %2106, %2082, %2084, %2086, %2088, %2078, %2096, %2114, %2452, %1342, %1344, %1346, %1348, %1326, %1328, %1330, %1332, %1308, %1310, %1312, %1314, %1290, %1292, %1294, %1296, %1270, %1272, %1274, %1276, %1266, %1286, %1304, %1322, %1338, %2454, %2456, %2458) #(Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/4-ScaleExp
- # #▲[CNode]2583
- %2460 = Primitive::TupleGetItem{prim_type=1}(%2459, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/4-ScaleExp
- # #[CNode]2584
- %2461 = FuncGraph::fg_2585(UMonad[U], %2460) #(Undefined, Undefined) # fg_2585=▶UpdateState.2585 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/4-ScaleExp
- # #▲[CNode]2583
- %2462 = Primitive::TupleGetItem{prim_type=1}(%2461, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/4-ScaleExp
- # #[CNode]2586
- %2463 = FuncGraph::fg_2587(%2392, %2462) #(Undefined, Undefined) # fg_2587=▶Depend.2587 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(1760)/ return xs[0], tail(xs)/#▲2588
- %2464 = Primitive::TupleGetItem{prim_type=1}(%2463, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2589
- %2465 = FuncGraph::fg_2590(%2464, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_2590=▶Transpose.2590 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(299)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %2466 = Primitive::TupleGetItem{prim_type=1}(%2465, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2591
- %2467 = FuncGraph::fg_2592(%2466, (I64(4), I64(-1), I64(80))) #(Undefined, Undefined) # fg_2592=▶Reshape.2592 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(300)/ pred = ops.Reshape()(pred, (batch_size, -1, class_num))/#▲pred
- %2468 = Primitive::TupleGetItem{prim_type=1}(%2467, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2593
- %2469 = FuncGraph::fg_2594(%2268, %2428) #(Undefined, Undefined) # fg_2594=▶Conv2D.2594 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_5-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2470 = Primitive::TupleGetItem{prim_type=1}(%2469, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_5-Conv2d
- # #[CNode]2595
- %2471 = FuncGraph::fg_2596(%2470, %2426) #(Undefined, Undefined) # fg_2596=▶BiasAdd.2596 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_5-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2472 = Primitive::TupleGetItem{prim_type=1}(%2471, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_5-Conv2d
- # #[CNode]2597
- %2473 = FuncGraph::fg_2598(%para179, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2598=▶Load.2598 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2599
- %2474 = Primitive::TupleGetItem{prim_type=1}(%2473, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2600
- %2475 = FuncGraph::fg_2601(%2472, %2474) #(Undefined, Undefined) # fg_2601=▶Conv2D.2601 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2476 = Primitive::TupleGetItem{prim_type=1}(%2475, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2602
- %2477 = FuncGraph::fg_2603(%para180, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2603=▶Load.2603 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #▲[CNode]2604
- %2478 = Primitive::TupleGetItem{prim_type=1}(%2477, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2605
- %2479 = FuncGraph::fg_2606(%2476, %2478) #(Undefined, Undefined) # fg_2606=▶BiasAdd.2606 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2480 = Primitive::TupleGetItem{prim_type=1}(%2479, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2607
- %2481 = FuncGraph::fg_2608(%2480) #(Undefined) # fg_2608=▶ReLU.2608 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2361
- %2482 = Primitive::TupleGetItem{prim_type=1}(%2481, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # #[CNode]2609
- %2483 = FuncGraph::fg_2610(%para181, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2610=▶Load.2610 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2611
- %2484 = Primitive::TupleGetItem{prim_type=1}(%2483, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2612
- %2485 = FuncGraph::fg_2613(%2482, %2484) #(Undefined, Undefined) # fg_2613=▶Conv2D.2613 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2486 = Primitive::TupleGetItem{prim_type=1}(%2485, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2614
- %2487 = FuncGraph::fg_2615(%para182, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2615=▶Load.2615 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #▲[CNode]2616
- %2488 = Primitive::TupleGetItem{prim_type=1}(%2487, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2617
- %2489 = FuncGraph::fg_2618(%2486, %2488) #(Undefined, Undefined) # fg_2618=▶BiasAdd.2618 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2490 = Primitive::TupleGetItem{prim_type=1}(%2489, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2619
- %2491 = FuncGraph::fg_2620(%2490) #(Undefined) # fg_2620=▶ReLU.2620 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2374
- %2492 = Primitive::TupleGetItem{prim_type=1}(%2491, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # #[CNode]2621
- %2493 = FuncGraph::fg_2622(%para183, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2622=▶Load.2622 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2623
- %2494 = Primitive::TupleGetItem{prim_type=1}(%2493, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2624
- %2495 = FuncGraph::fg_2625(%2492, %2494) #(Undefined, Undefined) # fg_2625=▶Conv2D.2625 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2496 = Primitive::TupleGetItem{prim_type=1}(%2495, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2626
- %2497 = FuncGraph::fg_2627(%para184, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2627=▶Load.2627 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #▲[CNode]2628
- %2498 = Primitive::TupleGetItem{prim_type=1}(%2497, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2629
- %2499 = FuncGraph::fg_2630(%2496, %2498) #(Undefined, Undefined) # fg_2630=▶BiasAdd.2630 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2500 = Primitive::TupleGetItem{prim_type=1}(%2499, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2631
- %2501 = FuncGraph::fg_2632(%2500) #(Undefined) # fg_2632=▶ReLU.2632 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2387
- %2502 = Primitive::TupleGetItem{prim_type=1}(%2501, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # #[CNode]2633
- %2503 = FuncGraph::fg_2634(%para185, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2634=▶Load.2634 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2635
- %2504 = Primitive::TupleGetItem{prim_type=1}(%2503, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2636
- %2505 = FuncGraph::fg_2637(%2502, %2504) #(Undefined, Undefined) # fg_2637=▶Conv2D.2637 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2506 = Primitive::TupleGetItem{prim_type=1}(%2505, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2638
- %2507 = FuncGraph::fg_2639(%para186, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2639=▶Load.2639 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #▲[CNode]2640
- %2508 = Primitive::TupleGetItem{prim_type=1}(%2507, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2641
- %2509 = FuncGraph::fg_2642(%2506, %2508) #(Undefined, Undefined) # fg_2642=▶BiasAdd.2642 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2510 = Primitive::TupleGetItem{prim_type=1}(%2509, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2643
- %2511 = FuncGraph::fg_2644(%2510) #(Undefined) # fg_2644=▶ReLU.2644 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2400
- %2512 = Primitive::TupleGetItem{prim_type=1}(%2511, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # #[CNode]2645
- %2513 = FuncGraph::fg_2646(%para203, UMonad[U]) #(Ref[Tensor(F32)][80, 256, 3, 3], Undefined) # fg_2646=▶Load.2646 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]2647
- %2514 = Primitive::TupleGetItem{prim_type=1}(%2513, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2648
- %2515 = FuncGraph::fg_2649(%2512, %2514) #(Undefined, Undefined) # fg_2649=▶Conv2D.2649 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2516 = Primitive::TupleGetItem{prim_type=1}(%2515, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2650
- %2517 = FuncGraph::fg_2651(%para204, UMonad[U]) #(Ref[Tensor(F32)][80], Undefined) # fg_2651=▶Load.2651 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #▲[CNode]2652
- %2518 = Primitive::TupleGetItem{prim_type=1}(%2517, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2653
- %2519 = FuncGraph::fg_2654(%2516, %2518) #(Undefined, Undefined) # fg_2654=▶BiasAdd.2654 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2520 = Primitive::TupleGetItem{prim_type=1}(%2519, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2655
- %2521 = FuncGraph::fg_2656(%2520, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_2656=▶Transpose.2656 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(299)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %2522 = Primitive::TupleGetItem{prim_type=1}(%2521, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2657
- %2523 = FuncGraph::fg_2658(%2522, (I64(4), I64(-1), I64(80))) #(Undefined, Undefined) # fg_2658=▶Reshape.2658 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(300)/ pred = ops.Reshape()(pred, (batch_size, -1, class_num))/#▲pred
- %2524 = Primitive::TupleGetItem{prim_type=1}(%2523, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2659
- %2525 = FuncGraph::fg_2660(%2472, %2420) #(Undefined, Undefined) # fg_2660=▶Conv2D.2660 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2526 = Primitive::TupleGetItem{prim_type=1}(%2525, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out6-Conv2d
- # #[CNode]2661
- %2527 = FuncGraph::fg_2662(%2526, %2418) #(Undefined, Undefined) # fg_2662=▶BiasAdd.2662 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2528 = Primitive::TupleGetItem{prim_type=1}(%2527, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out6-Conv2d
- # #[CNode]2663
- %2529 = FuncGraph::fg_2664(%para179, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2664=▶Load.2664 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2665
- %2530 = Primitive::TupleGetItem{prim_type=1}(%2529, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2666
- %2531 = FuncGraph::fg_2667(%2528, %2530) #(Undefined, Undefined) # fg_2667=▶Conv2D.2667 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2532 = Primitive::TupleGetItem{prim_type=1}(%2531, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2668
- %2533 = FuncGraph::fg_2669(%para180, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2669=▶Load.2669 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #▲[CNode]2670
- %2534 = Primitive::TupleGetItem{prim_type=1}(%2533, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2671
- %2535 = FuncGraph::fg_2672(%2532, %2534) #(Undefined, Undefined) # fg_2672=▶BiasAdd.2672 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2536 = Primitive::TupleGetItem{prim_type=1}(%2535, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2673
- %2537 = FuncGraph::fg_2674(%2536) #(Undefined) # fg_2674=▶ReLU.2674 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2361
- %2538 = Primitive::TupleGetItem{prim_type=1}(%2537, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # #[CNode]2675
- %2539 = FuncGraph::fg_2676(%para181, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2676=▶Load.2676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2677
- %2540 = Primitive::TupleGetItem{prim_type=1}(%2539, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2678
- %2541 = FuncGraph::fg_2679(%2538, %2540) #(Undefined, Undefined) # fg_2679=▶Conv2D.2679 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2542 = Primitive::TupleGetItem{prim_type=1}(%2541, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2680
- %2543 = FuncGraph::fg_2681(%para182, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2681=▶Load.2681 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #▲[CNode]2682
- %2544 = Primitive::TupleGetItem{prim_type=1}(%2543, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2683
- %2545 = FuncGraph::fg_2684(%2542, %2544) #(Undefined, Undefined) # fg_2684=▶BiasAdd.2684 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2546 = Primitive::TupleGetItem{prim_type=1}(%2545, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2685
- %2547 = FuncGraph::fg_2686(%2546) #(Undefined) # fg_2686=▶ReLU.2686 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2374
- %2548 = Primitive::TupleGetItem{prim_type=1}(%2547, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # #[CNode]2687
- %2549 = FuncGraph::fg_2688(%para183, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2688=▶Load.2688 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2689
- %2550 = Primitive::TupleGetItem{prim_type=1}(%2549, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2690
- %2551 = FuncGraph::fg_2691(%2548, %2550) #(Undefined, Undefined) # fg_2691=▶Conv2D.2691 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2552 = Primitive::TupleGetItem{prim_type=1}(%2551, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2692
- %2553 = FuncGraph::fg_2693(%para184, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2693=▶Load.2693 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #▲[CNode]2694
- %2554 = Primitive::TupleGetItem{prim_type=1}(%2553, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2695
- %2555 = FuncGraph::fg_2696(%2552, %2554) #(Undefined, Undefined) # fg_2696=▶BiasAdd.2696 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2556 = Primitive::TupleGetItem{prim_type=1}(%2555, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2697
- %2557 = FuncGraph::fg_2698(%2556) #(Undefined) # fg_2698=▶ReLU.2698 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2387
- %2558 = Primitive::TupleGetItem{prim_type=1}(%2557, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # #[CNode]2699
- %2559 = FuncGraph::fg_2700(%para185, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2700=▶Load.2700 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2701
- %2560 = Primitive::TupleGetItem{prim_type=1}(%2559, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2702
- %2561 = FuncGraph::fg_2703(%2558, %2560) #(Undefined, Undefined) # fg_2703=▶Conv2D.2703 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2562 = Primitive::TupleGetItem{prim_type=1}(%2561, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2704
- %2563 = FuncGraph::fg_2705(%para186, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2705=▶Load.2705 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #▲[CNode]2706
- %2564 = Primitive::TupleGetItem{prim_type=1}(%2563, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2707
- %2565 = FuncGraph::fg_2708(%2562, %2564) #(Undefined, Undefined) # fg_2708=▶BiasAdd.2708 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2566 = Primitive::TupleGetItem{prim_type=1}(%2565, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2709
- %2567 = FuncGraph::fg_2710(%2566) #(Undefined) # fg_2710=▶ReLU.2710 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2400
- %2568 = Primitive::TupleGetItem{prim_type=1}(%2567, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # #[CNode]2711
- %2569 = FuncGraph::fg_2712(%para203, UMonad[U]) #(Ref[Tensor(F32)][80, 256, 3, 3], Undefined) # fg_2712=▶Load.2712 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]2713
- %2570 = Primitive::TupleGetItem{prim_type=1}(%2569, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2714
- %2571 = FuncGraph::fg_2715(%2568, %2570) #(Undefined, Undefined) # fg_2715=▶Conv2D.2715 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2572 = Primitive::TupleGetItem{prim_type=1}(%2571, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2716
- %2573 = FuncGraph::fg_2717(%para204, UMonad[U]) #(Ref[Tensor(F32)][80], Undefined) # fg_2717=▶Load.2717 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #▲[CNode]2718
- %2574 = Primitive::TupleGetItem{prim_type=1}(%2573, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2719
- %2575 = FuncGraph::fg_2720(%2572, %2574) #(Undefined, Undefined) # fg_2720=▶BiasAdd.2720 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2576 = Primitive::TupleGetItem{prim_type=1}(%2575, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2721
- %2577 = FuncGraph::fg_2722(%2576, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_2722=▶Transpose.2722 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(299)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %2578 = Primitive::TupleGetItem{prim_type=1}(%2577, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2723
- %2579 = FuncGraph::fg_2724(%2578, (I64(4), I64(-1), I64(80))) #(Undefined, Undefined) # fg_2724=▶Reshape.2724 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(300)/ pred = ops.Reshape()(pred, (batch_size, -1, class_num))/#▲pred
- %2580 = Primitive::TupleGetItem{prim_type=1}(%2579, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2725
- %2581 = FuncGraph::fg_2726(%2528) #(Undefined) # fg_2726=▶ReLU.2726 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # In file /home/zsl_2/model/fpn_neck.py(68)/ P7 = self.conv_out7(relu(P6))//#▲[CNode]2727
- %2582 = Primitive::TupleGetItem{prim_type=1}(%2581, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN
- # #[CNode]2728
- %2583 = FuncGraph::fg_2729(%2582, %2424) #(Undefined, Undefined) # fg_2729=▶Conv2D.2729 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out7-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2584 = Primitive::TupleGetItem{prim_type=1}(%2583, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out7-Conv2d
- # #[CNode]2730
- %2585 = FuncGraph::fg_2731(%2584, %2422) #(Undefined, Undefined) # fg_2731=▶BiasAdd.2731 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out7-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2586 = Primitive::TupleGetItem{prim_type=1}(%2585, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/fpn-FPN/conv_out7-Conv2d
- # #[CNode]2732
- %2587 = FuncGraph::fg_2733(%para179, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2733=▶Load.2733 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2734
- %2588 = Primitive::TupleGetItem{prim_type=1}(%2587, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2735
- %2589 = FuncGraph::fg_2736(%2586, %2588) #(Undefined, Undefined) # fg_2736=▶Conv2D.2736 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2590 = Primitive::TupleGetItem{prim_type=1}(%2589, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2737
- %2591 = FuncGraph::fg_2738(%para180, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2738=▶Load.2738 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #▲[CNode]2739
- %2592 = Primitive::TupleGetItem{prim_type=1}(%2591, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2740
- %2593 = FuncGraph::fg_2741(%2590, %2592) #(Undefined, Undefined) # fg_2741=▶BiasAdd.2741 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2594 = Primitive::TupleGetItem{prim_type=1}(%2593, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/0-Conv2d
- # #[CNode]2742
- %2595 = FuncGraph::fg_2743(%2594) #(Undefined) # fg_2743=▶ReLU.2743 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2361
- %2596 = Primitive::TupleGetItem{prim_type=1}(%2595, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/1-ReLU
- # #[CNode]2744
- %2597 = FuncGraph::fg_2745(%para181, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2745=▶Load.2745 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2746
- %2598 = Primitive::TupleGetItem{prim_type=1}(%2597, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2747
- %2599 = FuncGraph::fg_2748(%2596, %2598) #(Undefined, Undefined) # fg_2748=▶Conv2D.2748 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2600 = Primitive::TupleGetItem{prim_type=1}(%2599, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2749
- %2601 = FuncGraph::fg_2750(%para182, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2750=▶Load.2750 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #▲[CNode]2751
- %2602 = Primitive::TupleGetItem{prim_type=1}(%2601, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2752
- %2603 = FuncGraph::fg_2753(%2600, %2602) #(Undefined, Undefined) # fg_2753=▶BiasAdd.2753 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2604 = Primitive::TupleGetItem{prim_type=1}(%2603, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/2-Conv2d
- # #[CNode]2754
- %2605 = FuncGraph::fg_2755(%2604) #(Undefined) # fg_2755=▶ReLU.2755 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2374
- %2606 = Primitive::TupleGetItem{prim_type=1}(%2605, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/3-ReLU
- # #[CNode]2756
- %2607 = FuncGraph::fg_2757(%para183, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2757=▶Load.2757 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2758
- %2608 = Primitive::TupleGetItem{prim_type=1}(%2607, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2759
- %2609 = FuncGraph::fg_2760(%2606, %2608) #(Undefined, Undefined) # fg_2760=▶Conv2D.2760 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2610 = Primitive::TupleGetItem{prim_type=1}(%2609, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2761
- %2611 = FuncGraph::fg_2762(%para184, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2762=▶Load.2762 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #▲[CNode]2763
- %2612 = Primitive::TupleGetItem{prim_type=1}(%2611, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2764
- %2613 = FuncGraph::fg_2765(%2610, %2612) #(Undefined, Undefined) # fg_2765=▶BiasAdd.2765 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2614 = Primitive::TupleGetItem{prim_type=1}(%2613, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/4-Conv2d
- # #[CNode]2766
- %2615 = FuncGraph::fg_2767(%2614) #(Undefined) # fg_2767=▶ReLU.2767 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2387
- %2616 = Primitive::TupleGetItem{prim_type=1}(%2615, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/5-ReLU
- # #[CNode]2768
- %2617 = FuncGraph::fg_2769(%para185, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_2769=▶Load.2769 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #▲[CNode]2770
- %2618 = Primitive::TupleGetItem{prim_type=1}(%2617, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell
- # #[CNode]2771
- %2619 = FuncGraph::fg_2772(%2616, %2618) #(Undefined, Undefined) # fg_2772=▶Conv2D.2772 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2620 = Primitive::TupleGetItem{prim_type=1}(%2619, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2773
- %2621 = FuncGraph::fg_2774(%para186, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_2774=▶Load.2774 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #▲[CNode]2775
- %2622 = Primitive::TupleGetItem{prim_type=1}(%2621, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2776
- %2623 = FuncGraph::fg_2777(%2620, %2622) #(Undefined, Undefined) # fg_2777=▶BiasAdd.2777 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2624 = Primitive::TupleGetItem{prim_type=1}(%2623, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/6-Conv2d
- # #[CNode]2778
- %2625 = FuncGraph::fg_2779(%2624) #(Undefined) # fg_2779=▶ReLU.2779 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]2400
- %2626 = Primitive::TupleGetItem{prim_type=1}(%2625, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_conv-SequentialCell/7-ReLU
- # #[CNode]2780
- %2627 = FuncGraph::fg_2781(%para203, UMonad[U]) #(Ref[Tensor(F32)][80, 256, 3, 3], Undefined) # fg_2781=▶Load.2781 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]2782
- %2628 = Primitive::TupleGetItem{prim_type=1}(%2627, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2783
- %2629 = FuncGraph::fg_2784(%2626, %2628) #(Undefined, Undefined) # fg_2784=▶Conv2D.2784 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %2630 = Primitive::TupleGetItem{prim_type=1}(%2629, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2785
- %2631 = FuncGraph::fg_2786(%para204, UMonad[U]) #(Ref[Tensor(F32)][80], Undefined) # fg_2786=▶Load.2786 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #▲[CNode]2787
- %2632 = Primitive::TupleGetItem{prim_type=1}(%2631, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2788
- %2633 = FuncGraph::fg_2789(%2630, %2632) #(Undefined, Undefined) # fg_2789=▶BiasAdd.2789 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %2634 = Primitive::TupleGetItem{prim_type=1}(%2633, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cls_logits-Conv2d
- # #[CNode]2790
- %2635 = FuncGraph::fg_2791(%2634, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_2791=▶Transpose.2791 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(299)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %2636 = Primitive::TupleGetItem{prim_type=1}(%2635, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2792
- %2637 = FuncGraph::fg_2793(%2636, (I64(4), I64(-1), I64(80))) #(Undefined, Undefined) # fg_2793=▶Reshape.2793 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(300)/ pred = ops.Reshape()(pred, (batch_size, -1, class_num))/#▲pred
- %2638 = Primitive::TupleGetItem{prim_type=1}(%2637, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2794
- %2639 = MakeTupleGradient::make_tuple_gradient(%2336, %2468, %2524, %2580, %2638) #(Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲2795
- %2640 = Primitive::TupleGetItem{prim_type=1}(%2639, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2796
- %2641 = FuncGraph::fg_2797(%2640) #(Undefined) # fg_2797=▶Concat.2797 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(307)/ pred_pos = preds[batch_index] # [sum(_h*_w),class_num]/#▲Φpreds
- %2642 = Primitive::TupleGetItem{prim_type=1}(%2641, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2798
- %2643 = FuncGraph::fg_2799(%2642, (I64(0), I64(0), I64(0)), (I64(1), I64(37606), I64(80)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2799=▶StridedSlice.2799 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %2644 = Primitive::TupleGetItem{prim_type=1}(%2643, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2800
- %2645 = FuncGraph::fg_2801(%2644) #(Undefined) # fg_2801=▶Sigmoid.2801 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(595)/ preds = ops.Sigmoid()(preds)/#▲preds
- %2646 = Primitive::TupleGetItem{prim_type=1}(%2645, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2802
- %2647 = FuncGraph::fg_2803(%2646, %1254) #(Undefined, Undefined) # fg_2803=▶Mul.2803 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2648 = Primitive::TupleGetItem{prim_type=1}(%2647, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2804
- %2649 = FuncGraph::fg_2805(Tensor(43)[], %2646) #(Undefined, Undefined) # fg_2805=▶Sub.2805 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2650 = Primitive::TupleGetItem{prim_type=1}(%2649, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2806
- %2651 = FuncGraph::fg_2807(Tensor(43)[], %1254) #(Undefined, Undefined) # fg_2807=▶Sub.2807 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2652 = Primitive::TupleGetItem{prim_type=1}(%2651, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2808
- %2653 = FuncGraph::fg_2809(%2650, %2652) #(Undefined, Undefined) # fg_2809=▶Mul.2809 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2654 = Primitive::TupleGetItem{prim_type=1}(%2653, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2810
- %2655 = FuncGraph::fg_2811(%2648, %2654) #(Undefined, Undefined) # fg_2811=▶Add.2811 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2656 = Primitive::TupleGetItem{prim_type=1}(%2655, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2812
- %2657 = FuncGraph::fg_2813(Tensor(43)[], %2656) #(Undefined, Undefined) # fg_2813=▶Sub.2813 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2658 = Primitive::TupleGetItem{prim_type=1}(%2657, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2814
- %2659 = FuncGraph::fg_2815(%2658, Tensor(43)[]) #(Undefined, Undefined) # fg_2815=▶Pow.2815 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(598)/ loss = -w * ops.Pow()((1.0 - pt), gamma) * ops.Log()(pt+1e-8) #back2/#▲[CNode]2816
- %2660 = Primitive::TupleGetItem{prim_type=1}(%2659, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2817
- %2661 = FuncGraph::fg_2818(%1264, %2660) #(Undefined, Undefined) # fg_2818=▶Mul.2818 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2662 = Primitive::TupleGetItem{prim_type=1}(%2661, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2819
- %2663 = FuncGraph::fg_2820(%2656, Tensor(43)[]) #(Undefined, Undefined) # fg_2820=▶Add.2820 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2664 = Primitive::TupleGetItem{prim_type=1}(%2663, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2822
- %2665 = FuncGraph::fg_2823(%2664) #(Undefined) # fg_2823=▶Log.2823 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(598)/ loss = -w * ops.Pow()((1.0 - pt), gamma) * ops.Log()(pt+1e-8) #back2/#▲[CNode]2824
- %2666 = Primitive::TupleGetItem{prim_type=1}(%2665, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2825
- %2667 = FuncGraph::fg_2826(%2662, %2666) #(Undefined, Undefined) # fg_2826=▶Mul.2826 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2668 = Primitive::TupleGetItem{prim_type=1}(%2667, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2827
- %2669 = FuncGraph::fg_2828(%2668, ()) #(Undefined, Undefined) # fg_2828=▶ReduceSum.2828 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(600)/ return ops.ReduceSum()(loss)/#▲[CNode]2829
- %2670 = Primitive::TupleGetItem{prim_type=1}(%2669, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2830
- %2671 = FuncGraph::fg_2831(%2670, (I64(1))) #(Undefined, Undefined) # fg_2831=▶Reshape.2831 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(317)/ fl_result = ops.Reshape()(fl_result, (1,))/#▲fl_result
- %2672 = Primitive::TupleGetItem{prim_type=1}(%2671, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2832
- %2673 = FuncGraph::fg_418(Tensor(43)[1, 80], (I64(0), I64(0)), (I64(1), I64(80)), (I64(1), I64(1))) #(Tensor(F32)[1, 80], Tuple[I64*2], Tuple[I64*2], Tuple[I64*2]) # fg_418=▶StridedSlice.418 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2674 = Primitive::TupleGetItem{prim_type=1}(%2673, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2833
- %2675 = FuncGraph::fg_2834(%1246, (I64(1), I64(0), I64(0)), (I64(2), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2834=▶StridedSlice.2834 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %2676 = Primitive::TupleGetItem{prim_type=1}(%2675, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2835
- %2677 = FuncGraph::fg_2836(%2676, F32) #(Undefined, Undefined) # fg_2836=▶Cast.2836 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]1437
- %2678 = Primitive::TupleGetItem{prim_type=1}(%2677, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2837
- %2679 = FuncGraph::fg_2838(%2674, %2678) #(Undefined, Undefined) # fg_2838=▶Equal.2838 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]1437
- %2680 = Primitive::TupleGetItem{prim_type=1}(%2679, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2839
- %2681 = FuncGraph::fg_2840(%2680, F32) #(Undefined, Undefined) # fg_2840=▶Cast.2840 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(315)/ target_pos = ops.Cast()(target_pos, mstype.float32)/#▲target_pos
- %2682 = Primitive::TupleGetItem{prim_type=1}(%2681, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2841
- %2683 = FuncGraph::fg_1443(Tensor(43)[], %2682) #(Undefined, Undefined) # fg_1443=▶Mul.1443 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(61)/ return F.tensor_mul(x, y)/#▲[CNode]1444
- %2684 = Primitive::TupleGetItem{prim_type=1}(%2683, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2842
- %2685 = FuncGraph::fg_1446(Tensor(43)[], %2682) #(Undefined, Undefined) # fg_1446=▶Sub.1446 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2686 = Primitive::TupleGetItem{prim_type=1}(%2685, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2843
- %2687 = FuncGraph::fg_1449(Tensor(43)[], %2686) #(Undefined, Undefined) # fg_1449=▶Mul.1449 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(61)/ return F.tensor_mul(x, y)/#▲[CNode]1444
- %2688 = Primitive::TupleGetItem{prim_type=1}(%2687, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2844
- %2689 = FuncGraph::fg_1451(%2684, %2688) #(Undefined, Undefined) # fg_1451=▶Add.1451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2690 = Primitive::TupleGetItem{prim_type=1}(%2689, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2845
- %2691 = FuncGraph::fg_1453(%2690) #(Undefined) # fg_1453=▶Neg.1453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/negative_impl.py(48)/ return F.neg_tensor(x)/#▲[CNode]1454
- %2692 = Primitive::TupleGetItem{prim_type=1}(%2691, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2846
- %2693 = FuncGraph::fg_2847(%2642, (I64(1), I64(0), I64(0)), (I64(2), I64(37606), I64(80)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2847=▶StridedSlice.2847 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %2694 = Primitive::TupleGetItem{prim_type=1}(%2693, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2848
- %2695 = FuncGraph::fg_2801(%2694) #(Undefined) # fg_2801=▶Sigmoid.2801 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(595)/ preds = ops.Sigmoid()(preds)/#▲preds
- %2696 = Primitive::TupleGetItem{prim_type=1}(%2695, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2849
- %2697 = FuncGraph::fg_2803(%2696, %2682) #(Undefined, Undefined) # fg_2803=▶Mul.2803 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2698 = Primitive::TupleGetItem{prim_type=1}(%2697, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2850
- %2699 = FuncGraph::fg_2805(Tensor(43)[], %2696) #(Undefined, Undefined) # fg_2805=▶Sub.2805 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2700 = Primitive::TupleGetItem{prim_type=1}(%2699, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2851
- %2701 = FuncGraph::fg_2807(Tensor(43)[], %2682) #(Undefined, Undefined) # fg_2807=▶Sub.2807 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2702 = Primitive::TupleGetItem{prim_type=1}(%2701, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2852
- %2703 = FuncGraph::fg_2809(%2700, %2702) #(Undefined, Undefined) # fg_2809=▶Mul.2809 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2704 = Primitive::TupleGetItem{prim_type=1}(%2703, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2853
- %2705 = FuncGraph::fg_2811(%2698, %2704) #(Undefined, Undefined) # fg_2811=▶Add.2811 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2706 = Primitive::TupleGetItem{prim_type=1}(%2705, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2854
- %2707 = FuncGraph::fg_2813(Tensor(43)[], %2706) #(Undefined, Undefined) # fg_2813=▶Sub.2813 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2708 = Primitive::TupleGetItem{prim_type=1}(%2707, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2855
- %2709 = FuncGraph::fg_2815(%2708, Tensor(43)[]) #(Undefined, Undefined) # fg_2815=▶Pow.2815 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(598)/ loss = -w * ops.Pow()((1.0 - pt), gamma) * ops.Log()(pt+1e-8) #back2/#▲[CNode]2816
- %2710 = Primitive::TupleGetItem{prim_type=1}(%2709, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2856
- %2711 = FuncGraph::fg_2818(%2692, %2710) #(Undefined, Undefined) # fg_2818=▶Mul.2818 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2712 = Primitive::TupleGetItem{prim_type=1}(%2711, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2857
- %2713 = FuncGraph::fg_2820(%2706, Tensor(43)[]) #(Undefined, Undefined) # fg_2820=▶Add.2820 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2714 = Primitive::TupleGetItem{prim_type=1}(%2713, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2858
- %2715 = FuncGraph::fg_2823(%2714) #(Undefined) # fg_2823=▶Log.2823 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(598)/ loss = -w * ops.Pow()((1.0 - pt), gamma) * ops.Log()(pt+1e-8) #back2/#▲[CNode]2824
- %2716 = Primitive::TupleGetItem{prim_type=1}(%2715, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2859
- %2717 = FuncGraph::fg_2826(%2712, %2716) #(Undefined, Undefined) # fg_2826=▶Mul.2826 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2718 = Primitive::TupleGetItem{prim_type=1}(%2717, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2860
- %2719 = FuncGraph::fg_2828(%2718, ()) #(Undefined, Undefined) # fg_2828=▶ReduceSum.2828 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(600)/ return ops.ReduceSum()(loss)/#▲[CNode]2829
- %2720 = Primitive::TupleGetItem{prim_type=1}(%2719, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2861
- %2721 = FuncGraph::fg_2862(%2720, (I64(1))) #(Undefined, Undefined) # fg_2862=▶Reshape.2862 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(317)/ fl_result = ops.Reshape()(fl_result, (1,))/#▲fl_result
- %2722 = Primitive::TupleGetItem{prim_type=1}(%2721, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2863
- %2723 = FuncGraph::fg_418(Tensor(43)[1, 80], (I64(0), I64(0)), (I64(1), I64(80)), (I64(1), I64(1))) #(Tensor(F32)[1, 80], Tuple[I64*2], Tuple[I64*2], Tuple[I64*2]) # fg_418=▶StridedSlice.418 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2724 = Primitive::TupleGetItem{prim_type=1}(%2723, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2864
- %2725 = FuncGraph::fg_2865(%1246, (I64(2), I64(0), I64(0)), (I64(3), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2865=▶StridedSlice.2865 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %2726 = Primitive::TupleGetItem{prim_type=1}(%2725, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2866
- %2727 = FuncGraph::fg_2867(%2726, F32) #(Undefined, Undefined) # fg_2867=▶Cast.2867 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]1437
- %2728 = Primitive::TupleGetItem{prim_type=1}(%2727, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2868
- %2729 = FuncGraph::fg_2869(%2724, %2728) #(Undefined, Undefined) # fg_2869=▶Equal.2869 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]1437
- %2730 = Primitive::TupleGetItem{prim_type=1}(%2729, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2870
- %2731 = FuncGraph::fg_2871(%2730, F32) #(Undefined, Undefined) # fg_2871=▶Cast.2871 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(315)/ target_pos = ops.Cast()(target_pos, mstype.float32)/#▲target_pos
- %2732 = Primitive::TupleGetItem{prim_type=1}(%2731, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2872
- %2733 = FuncGraph::fg_1443(Tensor(43)[], %2732) #(Undefined, Undefined) # fg_1443=▶Mul.1443 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(61)/ return F.tensor_mul(x, y)/#▲[CNode]1444
- %2734 = Primitive::TupleGetItem{prim_type=1}(%2733, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2873
- %2735 = FuncGraph::fg_1446(Tensor(43)[], %2732) #(Undefined, Undefined) # fg_1446=▶Sub.1446 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2736 = Primitive::TupleGetItem{prim_type=1}(%2735, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2874
- %2737 = FuncGraph::fg_1449(Tensor(43)[], %2736) #(Undefined, Undefined) # fg_1449=▶Mul.1449 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(61)/ return F.tensor_mul(x, y)/#▲[CNode]1444
- %2738 = Primitive::TupleGetItem{prim_type=1}(%2737, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2875
- %2739 = FuncGraph::fg_1451(%2734, %2738) #(Undefined, Undefined) # fg_1451=▶Add.1451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2740 = Primitive::TupleGetItem{prim_type=1}(%2739, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2876
- %2741 = FuncGraph::fg_1453(%2740) #(Undefined) # fg_1453=▶Neg.1453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/negative_impl.py(48)/ return F.neg_tensor(x)/#▲[CNode]1454
- %2742 = Primitive::TupleGetItem{prim_type=1}(%2741, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2877
- %2743 = FuncGraph::fg_2878(%2642, (I64(2), I64(0), I64(0)), (I64(3), I64(37606), I64(80)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2878=▶StridedSlice.2878 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %2744 = Primitive::TupleGetItem{prim_type=1}(%2743, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2879
- %2745 = FuncGraph::fg_2801(%2744) #(Undefined) # fg_2801=▶Sigmoid.2801 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(595)/ preds = ops.Sigmoid()(preds)/#▲preds
- %2746 = Primitive::TupleGetItem{prim_type=1}(%2745, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2880
- %2747 = FuncGraph::fg_2803(%2746, %2732) #(Undefined, Undefined) # fg_2803=▶Mul.2803 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2748 = Primitive::TupleGetItem{prim_type=1}(%2747, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2881
- %2749 = FuncGraph::fg_2805(Tensor(43)[], %2746) #(Undefined, Undefined) # fg_2805=▶Sub.2805 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2750 = Primitive::TupleGetItem{prim_type=1}(%2749, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2882
- %2751 = FuncGraph::fg_2807(Tensor(43)[], %2732) #(Undefined, Undefined) # fg_2807=▶Sub.2807 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2752 = Primitive::TupleGetItem{prim_type=1}(%2751, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2883
- %2753 = FuncGraph::fg_2809(%2750, %2752) #(Undefined, Undefined) # fg_2809=▶Mul.2809 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2754 = Primitive::TupleGetItem{prim_type=1}(%2753, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2884
- %2755 = FuncGraph::fg_2811(%2748, %2754) #(Undefined, Undefined) # fg_2811=▶Add.2811 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2756 = Primitive::TupleGetItem{prim_type=1}(%2755, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2885
- %2757 = FuncGraph::fg_2813(Tensor(43)[], %2756) #(Undefined, Undefined) # fg_2813=▶Sub.2813 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2758 = Primitive::TupleGetItem{prim_type=1}(%2757, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2886
- %2759 = FuncGraph::fg_2815(%2758, Tensor(43)[]) #(Undefined, Undefined) # fg_2815=▶Pow.2815 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(598)/ loss = -w * ops.Pow()((1.0 - pt), gamma) * ops.Log()(pt+1e-8) #back2/#▲[CNode]2816
- %2760 = Primitive::TupleGetItem{prim_type=1}(%2759, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2887
- %2761 = FuncGraph::fg_2818(%2742, %2760) #(Undefined, Undefined) # fg_2818=▶Mul.2818 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2762 = Primitive::TupleGetItem{prim_type=1}(%2761, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2888
- %2763 = FuncGraph::fg_2820(%2756, Tensor(43)[]) #(Undefined, Undefined) # fg_2820=▶Add.2820 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2764 = Primitive::TupleGetItem{prim_type=1}(%2763, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2889
- %2765 = FuncGraph::fg_2823(%2764) #(Undefined) # fg_2823=▶Log.2823 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(598)/ loss = -w * ops.Pow()((1.0 - pt), gamma) * ops.Log()(pt+1e-8) #back2/#▲[CNode]2824
- %2766 = Primitive::TupleGetItem{prim_type=1}(%2765, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2890
- %2767 = FuncGraph::fg_2826(%2762, %2766) #(Undefined, Undefined) # fg_2826=▶Mul.2826 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2768 = Primitive::TupleGetItem{prim_type=1}(%2767, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2891
- %2769 = FuncGraph::fg_2828(%2768, ()) #(Undefined, Undefined) # fg_2828=▶ReduceSum.2828 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(600)/ return ops.ReduceSum()(loss)/#▲[CNode]2829
- %2770 = Primitive::TupleGetItem{prim_type=1}(%2769, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2892
- %2771 = FuncGraph::fg_2893(%2770, (I64(1))) #(Undefined, Undefined) # fg_2893=▶Reshape.2893 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(317)/ fl_result = ops.Reshape()(fl_result, (1,))/#▲fl_result
- %2772 = Primitive::TupleGetItem{prim_type=1}(%2771, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2894
- %2773 = FuncGraph::fg_418(Tensor(43)[1, 80], (I64(0), I64(0)), (I64(1), I64(80)), (I64(1), I64(1))) #(Tensor(F32)[1, 80], Tuple[I64*2], Tuple[I64*2], Tuple[I64*2]) # fg_418=▶StridedSlice.418 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2774 = Primitive::TupleGetItem{prim_type=1}(%2773, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2895
- %2775 = FuncGraph::fg_2896(%1246, (I64(3), I64(0), I64(0)), (I64(4), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2896=▶StridedSlice.2896 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %2776 = Primitive::TupleGetItem{prim_type=1}(%2775, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2897
- %2777 = FuncGraph::fg_2898(%2776, F32) #(Undefined, Undefined) # fg_2898=▶Cast.2898 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]1437
- %2778 = Primitive::TupleGetItem{prim_type=1}(%2777, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2899
- %2779 = FuncGraph::fg_2900(%2774, %2778) #(Undefined, Undefined) # fg_2900=▶Equal.2900 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]1437
- %2780 = Primitive::TupleGetItem{prim_type=1}(%2779, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2901
- %2781 = FuncGraph::fg_2902(%2780, F32) #(Undefined, Undefined) # fg_2902=▶Cast.2902 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(315)/ target_pos = ops.Cast()(target_pos, mstype.float32)/#▲target_pos
- %2782 = Primitive::TupleGetItem{prim_type=1}(%2781, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2903
- %2783 = FuncGraph::fg_1443(Tensor(43)[], %2782) #(Undefined, Undefined) # fg_1443=▶Mul.1443 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(61)/ return F.tensor_mul(x, y)/#▲[CNode]1444
- %2784 = Primitive::TupleGetItem{prim_type=1}(%2783, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2904
- %2785 = FuncGraph::fg_1446(Tensor(43)[], %2782) #(Undefined, Undefined) # fg_1446=▶Sub.1446 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2786 = Primitive::TupleGetItem{prim_type=1}(%2785, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2905
- %2787 = FuncGraph::fg_1449(Tensor(43)[], %2786) #(Undefined, Undefined) # fg_1449=▶Mul.1449 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(61)/ return F.tensor_mul(x, y)/#▲[CNode]1444
- %2788 = Primitive::TupleGetItem{prim_type=1}(%2787, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2906
- %2789 = FuncGraph::fg_1451(%2784, %2788) #(Undefined, Undefined) # fg_1451=▶Add.1451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2790 = Primitive::TupleGetItem{prim_type=1}(%2789, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2907
- %2791 = FuncGraph::fg_1453(%2790) #(Undefined) # fg_1453=▶Neg.1453 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/negative_impl.py(48)/ return F.neg_tensor(x)/#▲[CNode]1454
- %2792 = Primitive::TupleGetItem{prim_type=1}(%2791, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2908
- %2793 = FuncGraph::fg_2909(%2642, (I64(3), I64(0), I64(0)), (I64(4), I64(37606), I64(80)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2909=▶StridedSlice.2909 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %2794 = Primitive::TupleGetItem{prim_type=1}(%2793, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2910
- %2795 = FuncGraph::fg_2801(%2794) #(Undefined) # fg_2801=▶Sigmoid.2801 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(595)/ preds = ops.Sigmoid()(preds)/#▲preds
- %2796 = Primitive::TupleGetItem{prim_type=1}(%2795, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2911
- %2797 = FuncGraph::fg_2803(%2796, %2782) #(Undefined, Undefined) # fg_2803=▶Mul.2803 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2798 = Primitive::TupleGetItem{prim_type=1}(%2797, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2912
- %2799 = FuncGraph::fg_2805(Tensor(43)[], %2796) #(Undefined, Undefined) # fg_2805=▶Sub.2805 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2800 = Primitive::TupleGetItem{prim_type=1}(%2799, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2913
- %2801 = FuncGraph::fg_2807(Tensor(43)[], %2782) #(Undefined, Undefined) # fg_2807=▶Sub.2807 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2802 = Primitive::TupleGetItem{prim_type=1}(%2801, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2914
- %2803 = FuncGraph::fg_2809(%2800, %2802) #(Undefined, Undefined) # fg_2809=▶Mul.2809 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2804 = Primitive::TupleGetItem{prim_type=1}(%2803, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2915
- %2805 = FuncGraph::fg_2811(%2798, %2804) #(Undefined, Undefined) # fg_2811=▶Add.2811 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %2806 = Primitive::TupleGetItem{prim_type=1}(%2805, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]2916
- %2807 = FuncGraph::fg_2813(Tensor(43)[], %2806) #(Undefined, Undefined) # fg_2813=▶Sub.2813 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %2808 = Primitive::TupleGetItem{prim_type=1}(%2807, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2917
- %2809 = FuncGraph::fg_2815(%2808, Tensor(43)[]) #(Undefined, Undefined) # fg_2815=▶Pow.2815 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(598)/ loss = -w * ops.Pow()((1.0 - pt), gamma) * ops.Log()(pt+1e-8) #back2/#▲[CNode]2816
- %2810 = Primitive::TupleGetItem{prim_type=1}(%2809, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2918
- %2811 = FuncGraph::fg_2818(%2792, %2810) #(Undefined, Undefined) # fg_2818=▶Mul.2818 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2812 = Primitive::TupleGetItem{prim_type=1}(%2811, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2919
- %2813 = FuncGraph::fg_2820(%2806, Tensor(43)[]) #(Undefined, Undefined) # fg_2820=▶Add.2820 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2814 = Primitive::TupleGetItem{prim_type=1}(%2813, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2920
- %2815 = FuncGraph::fg_2823(%2814) #(Undefined) # fg_2823=▶Log.2823 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(598)/ loss = -w * ops.Pow()((1.0 - pt), gamma) * ops.Log()(pt+1e-8) #back2/#▲[CNode]2824
- %2816 = Primitive::TupleGetItem{prim_type=1}(%2815, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2921
- %2817 = FuncGraph::fg_2826(%2812, %2816) #(Undefined, Undefined) # fg_2826=▶Mul.2826 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2818 = Primitive::TupleGetItem{prim_type=1}(%2817, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2922
- %2819 = FuncGraph::fg_2828(%2818, ()) #(Undefined, Undefined) # fg_2828=▶ReduceSum.2828 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(600)/ return ops.ReduceSum()(loss)/#▲[CNode]2829
- %2820 = Primitive::TupleGetItem{prim_type=1}(%2819, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2923
- %2821 = FuncGraph::fg_2924(%2820, (I64(1))) #(Undefined, Undefined) # fg_2924=▶Reshape.2924 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(317)/ fl_result = ops.Reshape()(fl_result, (1,))/#▲fl_result
- %2822 = Primitive::TupleGetItem{prim_type=1}(%2821, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2925
- %2823 = MakeTupleGradient::make_tuple_gradient(%2672, %2722, %2772, %2822) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲2926
- %2824 = Primitive::TupleGetItem{prim_type=1}(%2823, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]2927
- %2825 = FuncGraph::fg_2928(%2824) #(Undefined) # fg_2928=▶Concat.2928 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(321)/ return ops.Concat()(loss) / num_pos/#▲[CNode]2929
- %2826 = Primitive::TupleGetItem{prim_type=1}(%2825, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]2930
- %2827 = FuncGraph::fg_2931(%194) #(Undefined) # fg_2931=▶LogicalNot.2931 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(245)/ cnt_targets[~mask_pos_2] = -1/#▲[CNode]2932
- %2828 = Primitive::TupleGetItem{prim_type=1}(%2827, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2933
- %2829 = FuncGraph::fg_2934(%90, (I64(-1), I64(90), I64(4))) #(Undefined, Undefined) # fg_2934=▶Reshape.2934 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %2830 = Primitive::TupleGetItem{prim_type=1}(%2829, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2935
- %2831 = FuncGraph::fg_2936(%2830, %240) #(Undefined, Undefined) # fg_2936=▶GatherNd.2936 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(206)/ reg_targets = P.GatherNd()(ltrb_off.reshape(-1, m, 4), indices)/#▲reg_targets
- %2832 = Primitive::TupleGetItem{prim_type=1}(%2831, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2937
- %2833 = FuncGraph::fg_2938(%2832, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_2938=▶Reshape.2938 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲Φreg_targets
- %2834 = Primitive::TupleGetItem{prim_type=1}(%2833, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2939
- %2835 = FuncGraph::fg_2940(%2834, (I64(0), I64(0), I64(0)), (I64(4), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2940=▶StridedSlice.2940 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2836 = Primitive::TupleGetItem{prim_type=1}(%2835, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2941
- %2837 = FuncGraph::fg_2942(%2834, (I64(0), I64(0), I64(2)), (I64(4), I64(28224), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2942=▶StridedSlice.2942 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2838 = Primitive::TupleGetItem{prim_type=1}(%2837, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2943
- %2839 = FuncGraph::fg_2944(%2836, %2838) #(Undefined, Undefined) # fg_2944=▶Minimum.2944 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(218)/ left_right_min = ops.Minimum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_min
- %2840 = Primitive::TupleGetItem{prim_type=1}(%2839, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2945
- %2841 = FuncGraph::fg_2946(%2834, (I64(0), I64(0), I64(1)), (I64(4), I64(28224), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2946=▶StridedSlice.2946 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2842 = Primitive::TupleGetItem{prim_type=1}(%2841, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2947
- %2843 = FuncGraph::fg_2948(%2834, (I64(0), I64(0), I64(3)), (I64(4), I64(28224), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2948=▶StridedSlice.2948 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2844 = Primitive::TupleGetItem{prim_type=1}(%2843, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2949
- %2845 = FuncGraph::fg_2950(%2842, %2844) #(Undefined, Undefined) # fg_2950=▶Minimum.2950 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(220)/ top_bottom_min = ops.Minimum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_min
- %2846 = Primitive::TupleGetItem{prim_type=1}(%2845, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2951
- %2847 = FuncGraph::fg_2952(%2840, %2846) #(Undefined, Undefined) # fg_2952=▶Mul.2952 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2848 = Primitive::TupleGetItem{prim_type=1}(%2847, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2953
- %2849 = FuncGraph::fg_2954(%2848, Tensor(43)[]) #(Undefined, Undefined) # fg_2954=▶Add.2954 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2850 = Primitive::TupleGetItem{prim_type=1}(%2849, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2955
- %2851 = FuncGraph::fg_2940(%2834, (I64(0), I64(0), I64(0)), (I64(4), I64(28224), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2940=▶StridedSlice.2940 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2852 = Primitive::TupleGetItem{prim_type=1}(%2851, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2956
- %2853 = FuncGraph::fg_2942(%2834, (I64(0), I64(0), I64(2)), (I64(4), I64(28224), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2942=▶StridedSlice.2942 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2854 = Primitive::TupleGetItem{prim_type=1}(%2853, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2957
- %2855 = FuncGraph::fg_2958(%2852, %2854) #(Undefined, Undefined) # fg_2958=▶Maximum.2958 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(219)/ left_right_max = ops.Maximum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_max
- %2856 = Primitive::TupleGetItem{prim_type=1}(%2855, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2959
- %2857 = FuncGraph::fg_2946(%2834, (I64(0), I64(0), I64(1)), (I64(4), I64(28224), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2946=▶StridedSlice.2946 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2858 = Primitive::TupleGetItem{prim_type=1}(%2857, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2960
- %2859 = FuncGraph::fg_2948(%2834, (I64(0), I64(0), I64(3)), (I64(4), I64(28224), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2948=▶StridedSlice.2948 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2860 = Primitive::TupleGetItem{prim_type=1}(%2859, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2961
- %2861 = FuncGraph::fg_2962(%2858, %2860) #(Undefined, Undefined) # fg_2962=▶Maximum.2962 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(221)/ top_bottom_max = ops.Maximum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_max
- %2862 = Primitive::TupleGetItem{prim_type=1}(%2861, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2963
- %2863 = FuncGraph::fg_2964(%2856, %2862) #(Undefined, Undefined) # fg_2964=▶Mul.2964 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2864 = Primitive::TupleGetItem{prim_type=1}(%2863, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2965
- %2865 = FuncGraph::fg_2966(%2864, Tensor(43)[]) #(Undefined, Undefined) # fg_2966=▶Add.2966 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2866 = Primitive::TupleGetItem{prim_type=1}(%2865, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2967
- %2867 = FuncGraph::fg_2968(%2850, %2866) #(Undefined, Undefined) # fg_2968=▶RealDiv.2968 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %2868 = Primitive::TupleGetItem{prim_type=1}(%2867, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]2970
- %2869 = FuncGraph::fg_2971(%2868) #(Undefined) # fg_2971=▶Sqrt.2971 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(225)/ cnt_targets = ops.Sqrt()((left_right_min * top_bottom_min + 1e-8) / (left_right_max * top_bottom_max + 1e-8))/#▲cnt_targets
- %2870 = Primitive::TupleGetItem{prim_type=1}(%2869, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2972
- %2871 = FuncGraph::fg_2973(%2870, I64(-1)) #(Undefined, Undefined) # fg_2973=▶ExpandDims.2973 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(226)/ cnt_targets = ops.ExpandDims()(cnt_targets, -1)/#▲cnt_targets
- %2872 = Primitive::TupleGetItem{prim_type=1}(%2871, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2974
- %2873 = FuncGraph::fg_2975(%2872) #(Undefined) # fg_2975=▶OnesLike.2975 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %2874 = Primitive::TupleGetItem{prim_type=1}(%2873, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2976
- %2875 = FuncGraph::fg_2977(%2874, Tensor(43)[]) #(Undefined, Undefined) # fg_2977=▶Mul.2977 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %2876 = Primitive::TupleGetItem{prim_type=1}(%2875, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2978
- %2877 = FuncGraph::fg_2979(%2828, %2876, %2872) #(Undefined, Undefined, Undefined) # fg_2979=▶Select.2979 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %2878 = Primitive::TupleGetItem{prim_type=1}(%2877, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2980
- %2879 = FuncGraph::fg_2981(%442) #(Undefined) # fg_2981=▶LogicalNot.2981 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(245)/ cnt_targets[~mask_pos_2] = -1/#▲[CNode]2932
- %2880 = Primitive::TupleGetItem{prim_type=1}(%2879, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2982
- %2881 = FuncGraph::fg_2983(%338, (I64(-1), I64(90), I64(4))) #(Undefined, Undefined) # fg_2983=▶Reshape.2983 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %2882 = Primitive::TupleGetItem{prim_type=1}(%2881, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2984
- %2883 = FuncGraph::fg_2985(%2882, %488) #(Undefined, Undefined) # fg_2985=▶GatherNd.2985 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(206)/ reg_targets = P.GatherNd()(ltrb_off.reshape(-1, m, 4), indices)/#▲reg_targets
- %2884 = Primitive::TupleGetItem{prim_type=1}(%2883, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2986
- %2885 = FuncGraph::fg_2987(%2884, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_2987=▶Reshape.2987 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲Φreg_targets
- %2886 = Primitive::TupleGetItem{prim_type=1}(%2885, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2988
- %2887 = FuncGraph::fg_2989(%2886, (I64(0), I64(0), I64(0)), (I64(4), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2989=▶StridedSlice.2989 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2888 = Primitive::TupleGetItem{prim_type=1}(%2887, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2990
- %2889 = FuncGraph::fg_2991(%2886, (I64(0), I64(0), I64(2)), (I64(4), I64(7056), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2991=▶StridedSlice.2991 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2890 = Primitive::TupleGetItem{prim_type=1}(%2889, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2992
- %2891 = FuncGraph::fg_2993(%2888, %2890) #(Undefined, Undefined) # fg_2993=▶Minimum.2993 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(218)/ left_right_min = ops.Minimum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_min
- %2892 = Primitive::TupleGetItem{prim_type=1}(%2891, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2994
- %2893 = FuncGraph::fg_2995(%2886, (I64(0), I64(0), I64(1)), (I64(4), I64(7056), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2995=▶StridedSlice.2995 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2894 = Primitive::TupleGetItem{prim_type=1}(%2893, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2996
- %2895 = FuncGraph::fg_2997(%2886, (I64(0), I64(0), I64(3)), (I64(4), I64(7056), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2997=▶StridedSlice.2997 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2896 = Primitive::TupleGetItem{prim_type=1}(%2895, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]2998
- %2897 = FuncGraph::fg_2999(%2894, %2896) #(Undefined, Undefined) # fg_2999=▶Minimum.2999 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(220)/ top_bottom_min = ops.Minimum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_min
- %2898 = Primitive::TupleGetItem{prim_type=1}(%2897, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3000
- %2899 = FuncGraph::fg_3001(%2892, %2898) #(Undefined, Undefined) # fg_3001=▶Mul.3001 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2900 = Primitive::TupleGetItem{prim_type=1}(%2899, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3002
- %2901 = FuncGraph::fg_3003(%2900, Tensor(43)[]) #(Undefined, Undefined) # fg_3003=▶Add.3003 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2902 = Primitive::TupleGetItem{prim_type=1}(%2901, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3004
- %2903 = FuncGraph::fg_2989(%2886, (I64(0), I64(0), I64(0)), (I64(4), I64(7056), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2989=▶StridedSlice.2989 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2904 = Primitive::TupleGetItem{prim_type=1}(%2903, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3005
- %2905 = FuncGraph::fg_2991(%2886, (I64(0), I64(0), I64(2)), (I64(4), I64(7056), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2991=▶StridedSlice.2991 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2906 = Primitive::TupleGetItem{prim_type=1}(%2905, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3006
- %2907 = FuncGraph::fg_3007(%2904, %2906) #(Undefined, Undefined) # fg_3007=▶Maximum.3007 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(219)/ left_right_max = ops.Maximum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_max
- %2908 = Primitive::TupleGetItem{prim_type=1}(%2907, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3008
- %2909 = FuncGraph::fg_2995(%2886, (I64(0), I64(0), I64(1)), (I64(4), I64(7056), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2995=▶StridedSlice.2995 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2910 = Primitive::TupleGetItem{prim_type=1}(%2909, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3009
- %2911 = FuncGraph::fg_2997(%2886, (I64(0), I64(0), I64(3)), (I64(4), I64(7056), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_2997=▶StridedSlice.2997 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2912 = Primitive::TupleGetItem{prim_type=1}(%2911, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3010
- %2913 = FuncGraph::fg_3011(%2910, %2912) #(Undefined, Undefined) # fg_3011=▶Maximum.3011 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(221)/ top_bottom_max = ops.Maximum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_max
- %2914 = Primitive::TupleGetItem{prim_type=1}(%2913, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3012
- %2915 = FuncGraph::fg_3013(%2908, %2914) #(Undefined, Undefined) # fg_3013=▶Mul.3013 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2916 = Primitive::TupleGetItem{prim_type=1}(%2915, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3014
- %2917 = FuncGraph::fg_3015(%2916, Tensor(43)[]) #(Undefined, Undefined) # fg_3015=▶Add.3015 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2918 = Primitive::TupleGetItem{prim_type=1}(%2917, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3016
- %2919 = FuncGraph::fg_3017(%2902, %2918) #(Undefined, Undefined) # fg_3017=▶RealDiv.3017 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %2920 = Primitive::TupleGetItem{prim_type=1}(%2919, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3018
- %2921 = FuncGraph::fg_3019(%2920) #(Undefined) # fg_3019=▶Sqrt.3019 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(225)/ cnt_targets = ops.Sqrt()((left_right_min * top_bottom_min + 1e-8) / (left_right_max * top_bottom_max + 1e-8))/#▲cnt_targets
- %2922 = Primitive::TupleGetItem{prim_type=1}(%2921, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3020
- %2923 = FuncGraph::fg_3021(%2922, I64(-1)) #(Undefined, Undefined) # fg_3021=▶ExpandDims.3021 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(226)/ cnt_targets = ops.ExpandDims()(cnt_targets, -1)/#▲cnt_targets
- %2924 = Primitive::TupleGetItem{prim_type=1}(%2923, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3022
- %2925 = FuncGraph::fg_3023(%2924) #(Undefined) # fg_3023=▶OnesLike.3023 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %2926 = Primitive::TupleGetItem{prim_type=1}(%2925, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3024
- %2927 = FuncGraph::fg_3025(%2926, Tensor(43)[]) #(Undefined, Undefined) # fg_3025=▶Mul.3025 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %2928 = Primitive::TupleGetItem{prim_type=1}(%2927, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3026
- %2929 = FuncGraph::fg_3027(%2880, %2928, %2924) #(Undefined, Undefined, Undefined) # fg_3027=▶Select.3027 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %2930 = Primitive::TupleGetItem{prim_type=1}(%2929, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3028
- %2931 = FuncGraph::fg_3029(%690) #(Undefined) # fg_3029=▶LogicalNot.3029 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(245)/ cnt_targets[~mask_pos_2] = -1/#▲[CNode]2932
- %2932 = Primitive::TupleGetItem{prim_type=1}(%2931, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3030
- %2933 = FuncGraph::fg_3031(%586, (I64(-1), I64(90), I64(4))) #(Undefined, Undefined) # fg_3031=▶Reshape.3031 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %2934 = Primitive::TupleGetItem{prim_type=1}(%2933, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3032
- %2935 = FuncGraph::fg_3033(%2934, %736) #(Undefined, Undefined) # fg_3033=▶GatherNd.3033 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(206)/ reg_targets = P.GatherNd()(ltrb_off.reshape(-1, m, 4), indices)/#▲reg_targets
- %2936 = Primitive::TupleGetItem{prim_type=1}(%2935, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3034
- %2937 = FuncGraph::fg_3035(%2936, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_3035=▶Reshape.3035 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲Φreg_targets
- %2938 = Primitive::TupleGetItem{prim_type=1}(%2937, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3036
- %2939 = FuncGraph::fg_3037(%2938, (I64(0), I64(0), I64(0)), (I64(4), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3037=▶StridedSlice.3037 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2940 = Primitive::TupleGetItem{prim_type=1}(%2939, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3038
- %2941 = FuncGraph::fg_3039(%2938, (I64(0), I64(0), I64(2)), (I64(4), I64(1764), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3039=▶StridedSlice.3039 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2942 = Primitive::TupleGetItem{prim_type=1}(%2941, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3040
- %2943 = FuncGraph::fg_3041(%2940, %2942) #(Undefined, Undefined) # fg_3041=▶Minimum.3041 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(218)/ left_right_min = ops.Minimum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_min
- %2944 = Primitive::TupleGetItem{prim_type=1}(%2943, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3042
- %2945 = FuncGraph::fg_3043(%2938, (I64(0), I64(0), I64(1)), (I64(4), I64(1764), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3043=▶StridedSlice.3043 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2946 = Primitive::TupleGetItem{prim_type=1}(%2945, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3044
- %2947 = FuncGraph::fg_3045(%2938, (I64(0), I64(0), I64(3)), (I64(4), I64(1764), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3045=▶StridedSlice.3045 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2948 = Primitive::TupleGetItem{prim_type=1}(%2947, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3046
- %2949 = FuncGraph::fg_3047(%2946, %2948) #(Undefined, Undefined) # fg_3047=▶Minimum.3047 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(220)/ top_bottom_min = ops.Minimum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_min
- %2950 = Primitive::TupleGetItem{prim_type=1}(%2949, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3048
- %2951 = FuncGraph::fg_3049(%2944, %2950) #(Undefined, Undefined) # fg_3049=▶Mul.3049 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2952 = Primitive::TupleGetItem{prim_type=1}(%2951, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3050
- %2953 = FuncGraph::fg_3051(%2952, Tensor(43)[]) #(Undefined, Undefined) # fg_3051=▶Add.3051 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2954 = Primitive::TupleGetItem{prim_type=1}(%2953, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3052
- %2955 = FuncGraph::fg_3037(%2938, (I64(0), I64(0), I64(0)), (I64(4), I64(1764), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3037=▶StridedSlice.3037 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2956 = Primitive::TupleGetItem{prim_type=1}(%2955, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3053
- %2957 = FuncGraph::fg_3039(%2938, (I64(0), I64(0), I64(2)), (I64(4), I64(1764), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3039=▶StridedSlice.3039 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2958 = Primitive::TupleGetItem{prim_type=1}(%2957, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3054
- %2959 = FuncGraph::fg_3055(%2956, %2958) #(Undefined, Undefined) # fg_3055=▶Maximum.3055 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(219)/ left_right_max = ops.Maximum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_max
- %2960 = Primitive::TupleGetItem{prim_type=1}(%2959, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3056
- %2961 = FuncGraph::fg_3043(%2938, (I64(0), I64(0), I64(1)), (I64(4), I64(1764), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3043=▶StridedSlice.3043 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2962 = Primitive::TupleGetItem{prim_type=1}(%2961, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3057
- %2963 = FuncGraph::fg_3045(%2938, (I64(0), I64(0), I64(3)), (I64(4), I64(1764), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3045=▶StridedSlice.3045 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2964 = Primitive::TupleGetItem{prim_type=1}(%2963, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3058
- %2965 = FuncGraph::fg_3059(%2962, %2964) #(Undefined, Undefined) # fg_3059=▶Maximum.3059 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(221)/ top_bottom_max = ops.Maximum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_max
- %2966 = Primitive::TupleGetItem{prim_type=1}(%2965, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3060
- %2967 = FuncGraph::fg_3061(%2960, %2966) #(Undefined, Undefined) # fg_3061=▶Mul.3061 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %2968 = Primitive::TupleGetItem{prim_type=1}(%2967, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3062
- %2969 = FuncGraph::fg_3063(%2968, Tensor(43)[]) #(Undefined, Undefined) # fg_3063=▶Add.3063 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %2970 = Primitive::TupleGetItem{prim_type=1}(%2969, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3064
- %2971 = FuncGraph::fg_3065(%2954, %2970) #(Undefined, Undefined) # fg_3065=▶RealDiv.3065 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %2972 = Primitive::TupleGetItem{prim_type=1}(%2971, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3066
- %2973 = FuncGraph::fg_3067(%2972) #(Undefined) # fg_3067=▶Sqrt.3067 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(225)/ cnt_targets = ops.Sqrt()((left_right_min * top_bottom_min + 1e-8) / (left_right_max * top_bottom_max + 1e-8))/#▲cnt_targets
- %2974 = Primitive::TupleGetItem{prim_type=1}(%2973, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3068
- %2975 = FuncGraph::fg_3069(%2974, I64(-1)) #(Undefined, Undefined) # fg_3069=▶ExpandDims.3069 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(226)/ cnt_targets = ops.ExpandDims()(cnt_targets, -1)/#▲cnt_targets
- %2976 = Primitive::TupleGetItem{prim_type=1}(%2975, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3070
- %2977 = FuncGraph::fg_3071(%2976) #(Undefined) # fg_3071=▶OnesLike.3071 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %2978 = Primitive::TupleGetItem{prim_type=1}(%2977, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3072
- %2979 = FuncGraph::fg_3073(%2978, Tensor(43)[]) #(Undefined, Undefined) # fg_3073=▶Mul.3073 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %2980 = Primitive::TupleGetItem{prim_type=1}(%2979, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3074
- %2981 = FuncGraph::fg_3075(%2932, %2980, %2976) #(Undefined, Undefined, Undefined) # fg_3075=▶Select.3075 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %2982 = Primitive::TupleGetItem{prim_type=1}(%2981, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3076
- %2983 = FuncGraph::fg_3077(%938) #(Undefined) # fg_3077=▶LogicalNot.3077 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(245)/ cnt_targets[~mask_pos_2] = -1/#▲[CNode]2932
- %2984 = Primitive::TupleGetItem{prim_type=1}(%2983, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3078
- %2985 = FuncGraph::fg_3079(%834, (I64(-1), I64(90), I64(4))) #(Undefined, Undefined) # fg_3079=▶Reshape.3079 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %2986 = Primitive::TupleGetItem{prim_type=1}(%2985, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3080
- %2987 = FuncGraph::fg_3081(%2986, %984) #(Undefined, Undefined) # fg_3081=▶GatherNd.3081 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(206)/ reg_targets = P.GatherNd()(ltrb_off.reshape(-1, m, 4), indices)/#▲reg_targets
- %2988 = Primitive::TupleGetItem{prim_type=1}(%2987, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3082
- %2989 = FuncGraph::fg_3083(%2988, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_3083=▶Reshape.3083 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲Φreg_targets
- %2990 = Primitive::TupleGetItem{prim_type=1}(%2989, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3084
- %2991 = FuncGraph::fg_3085(%2990, (I64(0), I64(0), I64(0)), (I64(4), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3085=▶StridedSlice.3085 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2992 = Primitive::TupleGetItem{prim_type=1}(%2991, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3086
- %2993 = FuncGraph::fg_3087(%2990, (I64(0), I64(0), I64(2)), (I64(4), I64(441), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3087=▶StridedSlice.3087 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2994 = Primitive::TupleGetItem{prim_type=1}(%2993, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3088
- %2995 = FuncGraph::fg_3089(%2992, %2994) #(Undefined, Undefined) # fg_3089=▶Minimum.3089 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(218)/ left_right_min = ops.Minimum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_min
- %2996 = Primitive::TupleGetItem{prim_type=1}(%2995, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3090
- %2997 = FuncGraph::fg_3091(%2990, (I64(0), I64(0), I64(1)), (I64(4), I64(441), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3091=▶StridedSlice.3091 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %2998 = Primitive::TupleGetItem{prim_type=1}(%2997, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3092
- %2999 = FuncGraph::fg_3093(%2990, (I64(0), I64(0), I64(3)), (I64(4), I64(441), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3093=▶StridedSlice.3093 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3000 = Primitive::TupleGetItem{prim_type=1}(%2999, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3094
- %3001 = FuncGraph::fg_3095(%2998, %3000) #(Undefined, Undefined) # fg_3095=▶Minimum.3095 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(220)/ top_bottom_min = ops.Minimum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_min
- %3002 = Primitive::TupleGetItem{prim_type=1}(%3001, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3096
- %3003 = FuncGraph::fg_3097(%2996, %3002) #(Undefined, Undefined) # fg_3097=▶Mul.3097 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3004 = Primitive::TupleGetItem{prim_type=1}(%3003, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3098
- %3005 = FuncGraph::fg_3099(%3004, Tensor(43)[]) #(Undefined, Undefined) # fg_3099=▶Add.3099 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3006 = Primitive::TupleGetItem{prim_type=1}(%3005, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3100
- %3007 = FuncGraph::fg_3085(%2990, (I64(0), I64(0), I64(0)), (I64(4), I64(441), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3085=▶StridedSlice.3085 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3008 = Primitive::TupleGetItem{prim_type=1}(%3007, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3101
- %3009 = FuncGraph::fg_3087(%2990, (I64(0), I64(0), I64(2)), (I64(4), I64(441), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3087=▶StridedSlice.3087 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3010 = Primitive::TupleGetItem{prim_type=1}(%3009, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3102
- %3011 = FuncGraph::fg_3103(%3008, %3010) #(Undefined, Undefined) # fg_3103=▶Maximum.3103 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(219)/ left_right_max = ops.Maximum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_max
- %3012 = Primitive::TupleGetItem{prim_type=1}(%3011, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3104
- %3013 = FuncGraph::fg_3091(%2990, (I64(0), I64(0), I64(1)), (I64(4), I64(441), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3091=▶StridedSlice.3091 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3014 = Primitive::TupleGetItem{prim_type=1}(%3013, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3105
- %3015 = FuncGraph::fg_3093(%2990, (I64(0), I64(0), I64(3)), (I64(4), I64(441), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3093=▶StridedSlice.3093 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3016 = Primitive::TupleGetItem{prim_type=1}(%3015, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3106
- %3017 = FuncGraph::fg_3107(%3014, %3016) #(Undefined, Undefined) # fg_3107=▶Maximum.3107 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(221)/ top_bottom_max = ops.Maximum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_max
- %3018 = Primitive::TupleGetItem{prim_type=1}(%3017, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3108
- %3019 = FuncGraph::fg_3109(%3012, %3018) #(Undefined, Undefined) # fg_3109=▶Mul.3109 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3020 = Primitive::TupleGetItem{prim_type=1}(%3019, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3110
- %3021 = FuncGraph::fg_3111(%3020, Tensor(43)[]) #(Undefined, Undefined) # fg_3111=▶Add.3111 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3022 = Primitive::TupleGetItem{prim_type=1}(%3021, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3112
- %3023 = FuncGraph::fg_3113(%3006, %3022) #(Undefined, Undefined) # fg_3113=▶RealDiv.3113 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3024 = Primitive::TupleGetItem{prim_type=1}(%3023, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3114
- %3025 = FuncGraph::fg_3115(%3024) #(Undefined) # fg_3115=▶Sqrt.3115 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(225)/ cnt_targets = ops.Sqrt()((left_right_min * top_bottom_min + 1e-8) / (left_right_max * top_bottom_max + 1e-8))/#▲cnt_targets
- %3026 = Primitive::TupleGetItem{prim_type=1}(%3025, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3116
- %3027 = FuncGraph::fg_3117(%3026, I64(-1)) #(Undefined, Undefined) # fg_3117=▶ExpandDims.3117 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(226)/ cnt_targets = ops.ExpandDims()(cnt_targets, -1)/#▲cnt_targets
- %3028 = Primitive::TupleGetItem{prim_type=1}(%3027, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3118
- %3029 = FuncGraph::fg_3119(%3028) #(Undefined) # fg_3119=▶OnesLike.3119 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %3030 = Primitive::TupleGetItem{prim_type=1}(%3029, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3120
- %3031 = FuncGraph::fg_3121(%3030, Tensor(43)[]) #(Undefined, Undefined) # fg_3121=▶Mul.3121 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %3032 = Primitive::TupleGetItem{prim_type=1}(%3031, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3122
- %3033 = FuncGraph::fg_3123(%2984, %3032, %3028) #(Undefined, Undefined, Undefined) # fg_3123=▶Select.3123 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %3034 = Primitive::TupleGetItem{prim_type=1}(%3033, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3124
- %3035 = FuncGraph::fg_3125(%1186) #(Undefined) # fg_3125=▶LogicalNot.3125 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(245)/ cnt_targets[~mask_pos_2] = -1/#▲[CNode]2932
- %3036 = Primitive::TupleGetItem{prim_type=1}(%3035, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3126
- %3037 = FuncGraph::fg_3127(%1082, (I64(-1), I64(90), I64(4))) #(Undefined, Undefined) # fg_3127=▶Reshape.3127 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %3038 = Primitive::TupleGetItem{prim_type=1}(%3037, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3128
- %3039 = FuncGraph::fg_3129(%3038, %1232) #(Undefined, Undefined) # fg_3129=▶GatherNd.3129 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(206)/ reg_targets = P.GatherNd()(ltrb_off.reshape(-1, m, 4), indices)/#▲reg_targets
- %3040 = Primitive::TupleGetItem{prim_type=1}(%3039, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3130
- %3041 = FuncGraph::fg_3131(%3040, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_3131=▶Reshape.3131 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲Φreg_targets
- %3042 = Primitive::TupleGetItem{prim_type=1}(%3041, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3132
- %3043 = FuncGraph::fg_3133(%3042, (I64(0), I64(0), I64(0)), (I64(4), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3133=▶StridedSlice.3133 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3044 = Primitive::TupleGetItem{prim_type=1}(%3043, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3134
- %3045 = FuncGraph::fg_3135(%3042, (I64(0), I64(0), I64(2)), (I64(4), I64(121), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3135=▶StridedSlice.3135 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3046 = Primitive::TupleGetItem{prim_type=1}(%3045, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3136
- %3047 = FuncGraph::fg_3137(%3044, %3046) #(Undefined, Undefined) # fg_3137=▶Minimum.3137 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(218)/ left_right_min = ops.Minimum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_min
- %3048 = Primitive::TupleGetItem{prim_type=1}(%3047, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3138
- %3049 = FuncGraph::fg_3139(%3042, (I64(0), I64(0), I64(1)), (I64(4), I64(121), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3139=▶StridedSlice.3139 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3050 = Primitive::TupleGetItem{prim_type=1}(%3049, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3140
- %3051 = FuncGraph::fg_3141(%3042, (I64(0), I64(0), I64(3)), (I64(4), I64(121), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3141=▶StridedSlice.3141 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3052 = Primitive::TupleGetItem{prim_type=1}(%3051, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3142
- %3053 = FuncGraph::fg_3143(%3050, %3052) #(Undefined, Undefined) # fg_3143=▶Minimum.3143 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(220)/ top_bottom_min = ops.Minimum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_min
- %3054 = Primitive::TupleGetItem{prim_type=1}(%3053, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3144
- %3055 = FuncGraph::fg_3145(%3048, %3054) #(Undefined, Undefined) # fg_3145=▶Mul.3145 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3056 = Primitive::TupleGetItem{prim_type=1}(%3055, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3146
- %3057 = FuncGraph::fg_3147(%3056, Tensor(43)[]) #(Undefined, Undefined) # fg_3147=▶Add.3147 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3058 = Primitive::TupleGetItem{prim_type=1}(%3057, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3148
- %3059 = FuncGraph::fg_3133(%3042, (I64(0), I64(0), I64(0)), (I64(4), I64(121), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3133=▶StridedSlice.3133 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3060 = Primitive::TupleGetItem{prim_type=1}(%3059, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3149
- %3061 = FuncGraph::fg_3135(%3042, (I64(0), I64(0), I64(2)), (I64(4), I64(121), I64(3)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3135=▶StridedSlice.3135 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3062 = Primitive::TupleGetItem{prim_type=1}(%3061, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3150
- %3063 = FuncGraph::fg_3151(%3060, %3062) #(Undefined, Undefined) # fg_3151=▶Maximum.3151 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(219)/ left_right_max = ops.Maximum()(reg_targets[..., 0], reg_targets[..., 2])/#▲left_right_max
- %3064 = Primitive::TupleGetItem{prim_type=1}(%3063, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3152
- %3065 = FuncGraph::fg_3139(%3042, (I64(0), I64(0), I64(1)), (I64(4), I64(121), I64(2)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3139=▶StridedSlice.3139 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3066 = Primitive::TupleGetItem{prim_type=1}(%3065, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3153
- %3067 = FuncGraph::fg_3141(%3042, (I64(0), I64(0), I64(3)), (I64(4), I64(121), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_3141=▶StridedSlice.3141 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %3068 = Primitive::TupleGetItem{prim_type=1}(%3067, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3154
- %3069 = FuncGraph::fg_3155(%3066, %3068) #(Undefined, Undefined) # fg_3155=▶Maximum.3155 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(221)/ top_bottom_max = ops.Maximum()(reg_targets[..., 1], reg_targets[..., 3])/#▲top_bottom_max
- %3070 = Primitive::TupleGetItem{prim_type=1}(%3069, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3156
- %3071 = FuncGraph::fg_3157(%3064, %3070) #(Undefined, Undefined) # fg_3157=▶Mul.3157 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3072 = Primitive::TupleGetItem{prim_type=1}(%3071, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3158
- %3073 = FuncGraph::fg_3159(%3072, Tensor(43)[]) #(Undefined, Undefined) # fg_3159=▶Add.3159 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3074 = Primitive::TupleGetItem{prim_type=1}(%3073, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3160
- %3075 = FuncGraph::fg_3161(%3058, %3074) #(Undefined, Undefined) # fg_3161=▶RealDiv.3161 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3076 = Primitive::TupleGetItem{prim_type=1}(%3075, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3162
- %3077 = FuncGraph::fg_3163(%3076) #(Undefined) # fg_3163=▶Sqrt.3163 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(225)/ cnt_targets = ops.Sqrt()((left_right_min * top_bottom_min + 1e-8) / (left_right_max * top_bottom_max + 1e-8))/#▲cnt_targets
- %3078 = Primitive::TupleGetItem{prim_type=1}(%3077, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3164
- %3079 = FuncGraph::fg_3165(%3078, I64(-1)) #(Undefined, Undefined) # fg_3165=▶ExpandDims.3165 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(226)/ cnt_targets = ops.ExpandDims()(cnt_targets, -1)/#▲cnt_targets
- %3080 = Primitive::TupleGetItem{prim_type=1}(%3079, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3166
- %3081 = FuncGraph::fg_3167(%3080) #(Undefined) # fg_3167=▶OnesLike.3167 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %3082 = Primitive::TupleGetItem{prim_type=1}(%3081, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3168
- %3083 = FuncGraph::fg_3169(%3082, Tensor(43)[]) #(Undefined, Undefined) # fg_3169=▶Mul.3169 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %3084 = Primitive::TupleGetItem{prim_type=1}(%3083, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3170
- %3085 = FuncGraph::fg_3171(%3036, %3084, %3080) #(Undefined, Undefined, Undefined) # fg_3171=▶Select.3171 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %3086 = Primitive::TupleGetItem{prim_type=1}(%3085, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3172
- %3087 = MakeTupleGradient::make_tuple_gradient(%2878, %2930, %2982, %3034, %3086) #(Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲3173
- %3088 = Primitive::TupleGetItem{prim_type=1}(%3087, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]3174
- %3089 = FuncGraph::fg_3175(%3088) #(Undefined) # fg_3175=▶Concat.3175 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(83)/ return ops.Concat(axis=1)(cls_targets_all_level), ops.Concat(axis=1)(cnt_targets_all_level), ops.Concat(axis=1)(/#▲[CNode]3176
- %3090 = Primitive::TupleGetItem{prim_type=1}(%3089, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3177
- %3091 = FuncGraph::fg_3178(%3090, Tensor(43)[]) #(Undefined, Undefined) # fg_3178=▶Greater.3178 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/greater_impl.py(54)/ return F.tensor_gt(x, y)/#▲[CNode]503
- %3092 = Primitive::TupleGetItem{prim_type=1}(%3091, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]3179
- %3093 = FuncGraph::fg_3180(%3092) #(Undefined) # fg_3180=▶Squeeze.3180 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(625)/ mask_pos = ops.Squeeze(axis=-1)(cnt_targets > -1) # [batch_size,sum(_h*_w)]/#▲mask_pos
- %3094 = Primitive::TupleGetItem{prim_type=1}(%3093, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3181
- %3095 = FuncGraph::fg_3182(%3094, I64(-1)) #(Undefined, Undefined) # fg_3182=▶ExpandDims.3182 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(286)/ mask = ops.ExpandDims()(mask, -1)/#▲mask
- %3096 = Primitive::TupleGetItem{prim_type=1}(%3095, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3183
- %3097 = FuncGraph::fg_3184(%3096, F32) #(Undefined, Undefined) # fg_3184=▶Cast.3184 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(289)/ mask = ops.Cast()(mask, mstype.float32)/#▲mask
- %3098 = Primitive::TupleGetItem{prim_type=1}(%3097, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3185
- %3099 = FuncGraph::fg_3186(%3098, (I64(1), I64(2))) #(Undefined, Undefined) # fg_3186=▶ReduceSum.3186 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(290)/ num_pos = ops.ReduceSum()(mask, (1, 2))/#▲num_pos
- %3100 = Primitive::TupleGetItem{prim_type=1}(%3099, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3187
- %3101 = FuncGraph::fg_3188(%3100, Tensor(43)[]) #(Undefined, Undefined) # fg_3188=▶Equal.3188 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]3189
- %3102 = Primitive::TupleGetItem{prim_type=1}(%3101, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3190
- %3103 = FuncGraph::fg_3191(%3102, Tensor(43)[4], %3100) #(Undefined, Undefined, Undefined) # fg_3191=▶Select.3191 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(727)/ res = F.select(condition, x, y)/#▲res
- %3104 = Primitive::TupleGetItem{prim_type=1}(%3103, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3192
- %3105 = FuncGraph::fg_3193(%2826, %3104) #(Undefined, Undefined) # fg_3193=▶RealDiv.3193 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3106 = Primitive::TupleGetItem{prim_type=1}(%3105, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3194
- %3107 = FuncGraph::fg_3195(%3106, ()) #(Undefined, Undefined) # fg_3195=▶ReduceMean.3195 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(627)/ cls_loss = mean(compute_cls_loss(cls_logits, cls_targets, mask_pos))/#▲cls_loss
- %3108 = Primitive::TupleGetItem{prim_type=1}(%3107, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3196
- %3109 = FuncGraph::fg_3197(%3108, (I64(1))) #(Undefined, Undefined) # fg_3197=▶Reshape.3197 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(630)/ cls_loss = ops.Reshape()(cls_loss, (1,))/#▲cls_loss
- %3110 = Primitive::TupleGetItem{prim_type=1}(%3109, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3198
- %3111 = FuncGraph::fg_3199(%2284, %2438) #(Undefined, Undefined) # fg_3199=▶Conv2D.3199 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3112 = Primitive::TupleGetItem{prim_type=1}(%3111, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3200
- %3113 = FuncGraph::fg_3201(%3112, %2436) #(Undefined, Undefined) # fg_3201=▶BiasAdd.3201 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3114 = Primitive::TupleGetItem{prim_type=1}(%3113, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3202
- %3115 = FuncGraph::fg_3203(%3114, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3203=▶Reshape.3203 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3116 = Primitive::TupleGetItem{prim_type=1}(%3115, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3204
- %3117 = FuncGraph::fg_3205(%3116, I64(2)) #(Undefined, Undefined) # fg_3205=▶ReduceMean.3205 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3118 = Primitive::TupleGetItem{prim_type=1}(%3117, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3206
- %3119 = FuncGraph::fg_3207(%3116, %3118) #(Undefined, Undefined) # fg_3207=▶Sub.3207 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3120 = Primitive::TupleGetItem{prim_type=1}(%3119, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3208
- %3121 = FuncGraph::fg_3209(%3116, %3118) #(Undefined, Undefined) # fg_3209=▶Sub.3209 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3122 = Primitive::TupleGetItem{prim_type=1}(%3121, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3210
- %3123 = FuncGraph::fg_3211(%3122) #(Undefined) # fg_3211=▶Square.3211 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3212
- %3124 = Primitive::TupleGetItem{prim_type=1}(%3123, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3213
- %3125 = FuncGraph::fg_3214(%3124, I64(2)) #(Undefined, Undefined) # fg_3214=▶ReduceSum.3214 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3215
- %3126 = Primitive::TupleGetItem{prim_type=1}(%3125, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3216
- %3127 = FuncGraph::fg_3217(%3126, Tensor(43)[]) #(Undefined, Undefined) # fg_3217=▶RealDiv.3217 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3128 = Primitive::TupleGetItem{prim_type=1}(%3127, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3218
- %3129 = FuncGraph::fg_3219(%3128, Tensor(43)[]) #(Undefined, Undefined) # fg_3219=▶Add.3219 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3130 = Primitive::TupleGetItem{prim_type=1}(%3129, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3220
- %3131 = FuncGraph::fg_3221(%3130) #(Undefined) # fg_3221=▶Sqrt.3221 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3132 = Primitive::TupleGetItem{prim_type=1}(%3131, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3222
- %3133 = FuncGraph::fg_3223(%3120, %3132) #(Undefined, Undefined) # fg_3223=▶RealDiv.3223 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3134 = Primitive::TupleGetItem{prim_type=1}(%3133, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3224
- %3135 = FuncGraph::fg_3225(%3134, (I64(4), I64(256), I64(168), I64(168))) #(Undefined, Undefined) # fg_3225=▶Reshape.3225 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3136 = Primitive::TupleGetItem{prim_type=1}(%3135, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3226
- %3137 = FuncGraph::fg_3227(%2440, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3227=▶Reshape.3227 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3228
- %3138 = Primitive::TupleGetItem{prim_type=1}(%3137, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3229
- %3139 = FuncGraph::fg_3230(%3136, %3138) #(Undefined, Undefined) # fg_3230=▶Mul.3230 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3140 = Primitive::TupleGetItem{prim_type=1}(%3139, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3231
- %3141 = FuncGraph::fg_3232(%2442, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3232=▶Reshape.3232 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3233
- %3142 = Primitive::TupleGetItem{prim_type=1}(%3141, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3234
- %3143 = FuncGraph::fg_3235(%3140, %3142) #(Undefined, Undefined) # fg_3235=▶Add.3235 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3144 = Primitive::TupleGetItem{prim_type=1}(%3143, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3236
- %3145 = FuncGraph::fg_3237(%3144) #(Undefined) # fg_3237=▶ReLU.3237 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3238
- %3146 = Primitive::TupleGetItem{prim_type=1}(%3145, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # #[CNode]3239
- %3147 = FuncGraph::fg_3240(%3146, %2434) #(Undefined, Undefined) # fg_3240=▶Conv2D.3240 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3148 = Primitive::TupleGetItem{prim_type=1}(%3147, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3241
- %3149 = FuncGraph::fg_3242(%3148, %2444) #(Undefined, Undefined) # fg_3242=▶BiasAdd.3242 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3150 = Primitive::TupleGetItem{prim_type=1}(%3149, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3243
- %3151 = FuncGraph::fg_3244(%3150, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3244=▶Reshape.3244 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3152 = Primitive::TupleGetItem{prim_type=1}(%3151, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3245
- %3153 = FuncGraph::fg_3246(%3152, I64(2)) #(Undefined, Undefined) # fg_3246=▶ReduceMean.3246 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3154 = Primitive::TupleGetItem{prim_type=1}(%3153, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3247
- %3155 = FuncGraph::fg_3248(%3152, %3154) #(Undefined, Undefined) # fg_3248=▶Sub.3248 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3156 = Primitive::TupleGetItem{prim_type=1}(%3155, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3249
- %3157 = FuncGraph::fg_3250(%3152, %3154) #(Undefined, Undefined) # fg_3250=▶Sub.3250 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3158 = Primitive::TupleGetItem{prim_type=1}(%3157, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3251
- %3159 = FuncGraph::fg_3252(%3158) #(Undefined) # fg_3252=▶Square.3252 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3253
- %3160 = Primitive::TupleGetItem{prim_type=1}(%3159, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3254
- %3161 = FuncGraph::fg_3255(%3160, I64(2)) #(Undefined, Undefined) # fg_3255=▶ReduceSum.3255 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3256
- %3162 = Primitive::TupleGetItem{prim_type=1}(%3161, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3257
- %3163 = FuncGraph::fg_3258(%3162, Tensor(43)[]) #(Undefined, Undefined) # fg_3258=▶RealDiv.3258 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3164 = Primitive::TupleGetItem{prim_type=1}(%3163, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3259
- %3165 = FuncGraph::fg_3260(%3164, Tensor(43)[]) #(Undefined, Undefined) # fg_3260=▶Add.3260 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3166 = Primitive::TupleGetItem{prim_type=1}(%3165, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3261
- %3167 = FuncGraph::fg_3262(%3166) #(Undefined) # fg_3262=▶Sqrt.3262 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3168 = Primitive::TupleGetItem{prim_type=1}(%3167, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3263
- %3169 = FuncGraph::fg_3264(%3156, %3168) #(Undefined, Undefined) # fg_3264=▶RealDiv.3264 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3170 = Primitive::TupleGetItem{prim_type=1}(%3169, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3265
- %3171 = FuncGraph::fg_3266(%3170, (I64(4), I64(256), I64(168), I64(168))) #(Undefined, Undefined) # fg_3266=▶Reshape.3266 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3172 = Primitive::TupleGetItem{prim_type=1}(%3171, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3267
- %3173 = FuncGraph::fg_3268(%2432, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3268=▶Reshape.3268 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3269
- %3174 = Primitive::TupleGetItem{prim_type=1}(%3173, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3270
- %3175 = FuncGraph::fg_3271(%3172, %3174) #(Undefined, Undefined) # fg_3271=▶Mul.3271 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3176 = Primitive::TupleGetItem{prim_type=1}(%3175, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3272
- %3177 = FuncGraph::fg_3273(%2430, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3273=▶Reshape.3273 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3274
- %3178 = Primitive::TupleGetItem{prim_type=1}(%3177, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3275
- %3179 = FuncGraph::fg_3276(%3176, %3178) #(Undefined, Undefined) # fg_3276=▶Add.3276 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3180 = Primitive::TupleGetItem{prim_type=1}(%3179, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3277
- %3181 = FuncGraph::fg_3278(%3180) #(Undefined) # fg_3278=▶ReLU.3278 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3279
- %3182 = Primitive::TupleGetItem{prim_type=1}(%3181, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # #[CNode]3280
- %3183 = FuncGraph::fg_3281(%3182, %2446) #(Undefined, Undefined) # fg_3281=▶Conv2D.3281 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3184 = Primitive::TupleGetItem{prim_type=1}(%3183, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3282
- %3185 = FuncGraph::fg_3283(%3184, %2412) #(Undefined, Undefined) # fg_3283=▶BiasAdd.3283 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3186 = Primitive::TupleGetItem{prim_type=1}(%3185, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3284
- %3187 = FuncGraph::fg_3285(%3186, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3285=▶Reshape.3285 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3188 = Primitive::TupleGetItem{prim_type=1}(%3187, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3286
- %3189 = FuncGraph::fg_3287(%3188, I64(2)) #(Undefined, Undefined) # fg_3287=▶ReduceMean.3287 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3190 = Primitive::TupleGetItem{prim_type=1}(%3189, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3288
- %3191 = FuncGraph::fg_3289(%3188, %3190) #(Undefined, Undefined) # fg_3289=▶Sub.3289 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3192 = Primitive::TupleGetItem{prim_type=1}(%3191, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3290
- %3193 = FuncGraph::fg_3291(%3188, %3190) #(Undefined, Undefined) # fg_3291=▶Sub.3291 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3194 = Primitive::TupleGetItem{prim_type=1}(%3193, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3292
- %3195 = FuncGraph::fg_3293(%3194) #(Undefined) # fg_3293=▶Square.3293 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3294
- %3196 = Primitive::TupleGetItem{prim_type=1}(%3195, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3295
- %3197 = FuncGraph::fg_3296(%3196, I64(2)) #(Undefined, Undefined) # fg_3296=▶ReduceSum.3296 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3297
- %3198 = Primitive::TupleGetItem{prim_type=1}(%3197, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3298
- %3199 = FuncGraph::fg_3299(%3198, Tensor(43)[]) #(Undefined, Undefined) # fg_3299=▶RealDiv.3299 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3200 = Primitive::TupleGetItem{prim_type=1}(%3199, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3300
- %3201 = FuncGraph::fg_3301(%3200, Tensor(43)[]) #(Undefined, Undefined) # fg_3301=▶Add.3301 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3202 = Primitive::TupleGetItem{prim_type=1}(%3201, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3302
- %3203 = FuncGraph::fg_3303(%3202) #(Undefined) # fg_3303=▶Sqrt.3303 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3204 = Primitive::TupleGetItem{prim_type=1}(%3203, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3304
- %3205 = FuncGraph::fg_3305(%3192, %3204) #(Undefined, Undefined) # fg_3305=▶RealDiv.3305 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3206 = Primitive::TupleGetItem{prim_type=1}(%3205, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3306
- %3207 = FuncGraph::fg_3307(%3206, (I64(4), I64(256), I64(168), I64(168))) #(Undefined, Undefined) # fg_3307=▶Reshape.3307 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3208 = Primitive::TupleGetItem{prim_type=1}(%3207, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3308
- %3209 = FuncGraph::fg_3309(%2448, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3309=▶Reshape.3309 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3310
- %3210 = Primitive::TupleGetItem{prim_type=1}(%3209, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3311
- %3211 = FuncGraph::fg_3312(%3208, %3210) #(Undefined, Undefined) # fg_3312=▶Mul.3312 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3212 = Primitive::TupleGetItem{prim_type=1}(%3211, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3313
- %3213 = FuncGraph::fg_3314(%2450, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3314=▶Reshape.3314 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3315
- %3214 = Primitive::TupleGetItem{prim_type=1}(%3213, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3316
- %3215 = FuncGraph::fg_3317(%3212, %3214) #(Undefined, Undefined) # fg_3317=▶Add.3317 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3216 = Primitive::TupleGetItem{prim_type=1}(%3215, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3318
- %3217 = FuncGraph::fg_3319(%3216) #(Undefined) # fg_3319=▶ReLU.3319 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3320
- %3218 = Primitive::TupleGetItem{prim_type=1}(%3217, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # #[CNode]3321
- %3219 = FuncGraph::fg_3322(%3218, %2452) #(Undefined, Undefined) # fg_3322=▶Conv2D.3322 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3220 = Primitive::TupleGetItem{prim_type=1}(%3219, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3323
- %3221 = FuncGraph::fg_3324(%3220, %2454) #(Undefined, Undefined) # fg_3324=▶BiasAdd.3324 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3222 = Primitive::TupleGetItem{prim_type=1}(%3221, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3325
- %3223 = FuncGraph::fg_3326(%3222, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3326=▶Reshape.3326 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3224 = Primitive::TupleGetItem{prim_type=1}(%3223, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3327
- %3225 = FuncGraph::fg_3328(%3224, I64(2)) #(Undefined, Undefined) # fg_3328=▶ReduceMean.3328 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3226 = Primitive::TupleGetItem{prim_type=1}(%3225, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3329
- %3227 = FuncGraph::fg_3330(%3224, %3226) #(Undefined, Undefined) # fg_3330=▶Sub.3330 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3228 = Primitive::TupleGetItem{prim_type=1}(%3227, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3331
- %3229 = FuncGraph::fg_3332(%3224, %3226) #(Undefined, Undefined) # fg_3332=▶Sub.3332 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3230 = Primitive::TupleGetItem{prim_type=1}(%3229, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3333
- %3231 = FuncGraph::fg_3334(%3230) #(Undefined) # fg_3334=▶Square.3334 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3335
- %3232 = Primitive::TupleGetItem{prim_type=1}(%3231, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3336
- %3233 = FuncGraph::fg_3337(%3232, I64(2)) #(Undefined, Undefined) # fg_3337=▶ReduceSum.3337 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3338
- %3234 = Primitive::TupleGetItem{prim_type=1}(%3233, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3339
- %3235 = FuncGraph::fg_3340(%3234, Tensor(43)[]) #(Undefined, Undefined) # fg_3340=▶RealDiv.3340 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3236 = Primitive::TupleGetItem{prim_type=1}(%3235, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3341
- %3237 = FuncGraph::fg_3342(%3236, Tensor(43)[]) #(Undefined, Undefined) # fg_3342=▶Add.3342 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3238 = Primitive::TupleGetItem{prim_type=1}(%3237, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3343
- %3239 = FuncGraph::fg_3344(%3238) #(Undefined) # fg_3344=▶Sqrt.3344 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3240 = Primitive::TupleGetItem{prim_type=1}(%3239, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3345
- %3241 = FuncGraph::fg_3346(%3228, %3240) #(Undefined, Undefined) # fg_3346=▶RealDiv.3346 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3242 = Primitive::TupleGetItem{prim_type=1}(%3241, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3347
- %3243 = FuncGraph::fg_3348(%3242, (I64(4), I64(256), I64(168), I64(168))) #(Undefined, Undefined) # fg_3348=▶Reshape.3348 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3244 = Primitive::TupleGetItem{prim_type=1}(%3243, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3349
- %3245 = FuncGraph::fg_3350(%2410, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3350=▶Reshape.3350 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3351
- %3246 = Primitive::TupleGetItem{prim_type=1}(%3245, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3352
- %3247 = FuncGraph::fg_3353(%3244, %3246) #(Undefined, Undefined) # fg_3353=▶Mul.3353 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3248 = Primitive::TupleGetItem{prim_type=1}(%3247, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3354
- %3249 = FuncGraph::fg_3355(%2408, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3355=▶Reshape.3355 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3356
- %3250 = Primitive::TupleGetItem{prim_type=1}(%3249, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3357
- %3251 = FuncGraph::fg_3358(%3248, %3250) #(Undefined, Undefined) # fg_3358=▶Add.3358 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3252 = Primitive::TupleGetItem{prim_type=1}(%3251, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3359
- %3253 = FuncGraph::fg_3360(%3252) #(Undefined) # fg_3360=▶ReLU.3360 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3361
- %3254 = Primitive::TupleGetItem{prim_type=1}(%3253, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # #[CNode]3362
- %3255 = FuncGraph::fg_3363(%3254, %2402) #(Undefined, Undefined) # fg_3363=▶Conv2D.3363 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3256 = Primitive::TupleGetItem{prim_type=1}(%3255, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3364
- %3257 = FuncGraph::fg_3365(%3256, %2400) #(Undefined, Undefined) # fg_3365=▶BiasAdd.3365 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3258 = Primitive::TupleGetItem{prim_type=1}(%3257, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3366
- %3259 = FuncGraph::fg_3367(%3258, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_3367=▶Transpose.3367 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(420)/ pred = P.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %3260 = Primitive::TupleGetItem{prim_type=1}(%3259, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3368
- %3261 = FuncGraph::fg_3369(%3260, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_3369=▶Reshape.3369 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(421)/ pred = P.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %3262 = Primitive::TupleGetItem{prim_type=1}(%3261, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3370
- %3263 = FuncGraph::fg_3371(%para187, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3371=▶Load.3371 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3372
- %3264 = Primitive::TupleGetItem{prim_type=1}(%3263, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3373
- %3265 = FuncGraph::fg_3374(%2344, %3264) #(Undefined, Undefined) # fg_3374=▶Conv2D.3374 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3266 = Primitive::TupleGetItem{prim_type=1}(%3265, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3375
- %3267 = FuncGraph::fg_3376(%para188, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3376=▶Load.3376 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #▲[CNode]3377
- %3268 = Primitive::TupleGetItem{prim_type=1}(%3267, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3378
- %3269 = FuncGraph::fg_3379(%3266, %3268) #(Undefined, Undefined) # fg_3379=▶BiasAdd.3379 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3270 = Primitive::TupleGetItem{prim_type=1}(%3269, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3380
- %3271 = FuncGraph::fg_3381(%3270, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3381=▶Reshape.3381 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3272 = Primitive::TupleGetItem{prim_type=1}(%3271, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3382
- %3273 = FuncGraph::fg_3383(%3272, I64(2)) #(Undefined, Undefined) # fg_3383=▶ReduceMean.3383 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3274 = Primitive::TupleGetItem{prim_type=1}(%3273, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3384
- %3275 = FuncGraph::fg_3385(%3272, %3274) #(Undefined, Undefined) # fg_3385=▶Sub.3385 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3276 = Primitive::TupleGetItem{prim_type=1}(%3275, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3386
- %3277 = FuncGraph::fg_3387(%3272, %3274) #(Undefined, Undefined) # fg_3387=▶Sub.3387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3278 = Primitive::TupleGetItem{prim_type=1}(%3277, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3388
- %3279 = FuncGraph::fg_3389(%3278) #(Undefined) # fg_3389=▶Square.3389 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3212
- %3280 = Primitive::TupleGetItem{prim_type=1}(%3279, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3390
- %3281 = FuncGraph::fg_3391(%3280, I64(2)) #(Undefined, Undefined) # fg_3391=▶ReduceSum.3391 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3215
- %3282 = Primitive::TupleGetItem{prim_type=1}(%3281, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3392
- %3283 = FuncGraph::fg_3393(%3282, Tensor(43)[]) #(Undefined, Undefined) # fg_3393=▶RealDiv.3393 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3284 = Primitive::TupleGetItem{prim_type=1}(%3283, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3394
- %3285 = FuncGraph::fg_3395(%3284, Tensor(43)[]) #(Undefined, Undefined) # fg_3395=▶Add.3395 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3286 = Primitive::TupleGetItem{prim_type=1}(%3285, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3396
- %3287 = FuncGraph::fg_3397(%3286) #(Undefined) # fg_3397=▶Sqrt.3397 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3288 = Primitive::TupleGetItem{prim_type=1}(%3287, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3398
- %3289 = FuncGraph::fg_3399(%3276, %3288) #(Undefined, Undefined) # fg_3399=▶RealDiv.3399 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3290 = Primitive::TupleGetItem{prim_type=1}(%3289, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3400
- %3291 = FuncGraph::fg_3401(%3290, (I64(4), I64(256), I64(84), I64(84))) #(Undefined, Undefined) # fg_3401=▶Reshape.3401 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3292 = Primitive::TupleGetItem{prim_type=1}(%3291, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3402
- %3293 = FuncGraph::fg_3403(%para189, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3403=▶Load.3403 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]3404
- %3294 = Primitive::TupleGetItem{prim_type=1}(%3293, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3405
- %3295 = FuncGraph::fg_3406(%3294, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3406=▶Reshape.3406 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3228
- %3296 = Primitive::TupleGetItem{prim_type=1}(%3295, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3407
- %3297 = FuncGraph::fg_3408(%3292, %3296) #(Undefined, Undefined) # fg_3408=▶Mul.3408 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3298 = Primitive::TupleGetItem{prim_type=1}(%3297, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3409
- %3299 = FuncGraph::fg_3410(%para190, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3410=▶Load.3410 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]3411
- %3300 = Primitive::TupleGetItem{prim_type=1}(%3299, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3412
- %3301 = FuncGraph::fg_3413(%3300, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3413=▶Reshape.3413 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3233
- %3302 = Primitive::TupleGetItem{prim_type=1}(%3301, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3414
- %3303 = FuncGraph::fg_3415(%3298, %3302) #(Undefined, Undefined) # fg_3415=▶Add.3415 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3304 = Primitive::TupleGetItem{prim_type=1}(%3303, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3416
- %3305 = FuncGraph::fg_3417(%3304) #(Undefined) # fg_3417=▶ReLU.3417 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3238
- %3306 = Primitive::TupleGetItem{prim_type=1}(%3305, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # #[CNode]3418
- %3307 = FuncGraph::fg_3419(%para191, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3419=▶Load.3419 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3420
- %3308 = Primitive::TupleGetItem{prim_type=1}(%3307, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3421
- %3309 = FuncGraph::fg_3422(%3306, %3308) #(Undefined, Undefined) # fg_3422=▶Conv2D.3422 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3310 = Primitive::TupleGetItem{prim_type=1}(%3309, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3423
- %3311 = FuncGraph::fg_3424(%para192, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3424=▶Load.3424 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #▲[CNode]3425
- %3312 = Primitive::TupleGetItem{prim_type=1}(%3311, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3426
- %3313 = FuncGraph::fg_3427(%3310, %3312) #(Undefined, Undefined) # fg_3427=▶BiasAdd.3427 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3314 = Primitive::TupleGetItem{prim_type=1}(%3313, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3428
- %3315 = FuncGraph::fg_3429(%3314, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3429=▶Reshape.3429 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3316 = Primitive::TupleGetItem{prim_type=1}(%3315, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3430
- %3317 = FuncGraph::fg_3431(%3316, I64(2)) #(Undefined, Undefined) # fg_3431=▶ReduceMean.3431 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3318 = Primitive::TupleGetItem{prim_type=1}(%3317, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3432
- %3319 = FuncGraph::fg_3433(%3316, %3318) #(Undefined, Undefined) # fg_3433=▶Sub.3433 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3320 = Primitive::TupleGetItem{prim_type=1}(%3319, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3434
- %3321 = FuncGraph::fg_3435(%3316, %3318) #(Undefined, Undefined) # fg_3435=▶Sub.3435 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3322 = Primitive::TupleGetItem{prim_type=1}(%3321, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3436
- %3323 = FuncGraph::fg_3437(%3322) #(Undefined) # fg_3437=▶Square.3437 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3253
- %3324 = Primitive::TupleGetItem{prim_type=1}(%3323, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3438
- %3325 = FuncGraph::fg_3439(%3324, I64(2)) #(Undefined, Undefined) # fg_3439=▶ReduceSum.3439 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3256
- %3326 = Primitive::TupleGetItem{prim_type=1}(%3325, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3440
- %3327 = FuncGraph::fg_3441(%3326, Tensor(43)[]) #(Undefined, Undefined) # fg_3441=▶RealDiv.3441 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3328 = Primitive::TupleGetItem{prim_type=1}(%3327, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3442
- %3329 = FuncGraph::fg_3443(%3328, Tensor(43)[]) #(Undefined, Undefined) # fg_3443=▶Add.3443 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3330 = Primitive::TupleGetItem{prim_type=1}(%3329, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3444
- %3331 = FuncGraph::fg_3445(%3330) #(Undefined) # fg_3445=▶Sqrt.3445 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3332 = Primitive::TupleGetItem{prim_type=1}(%3331, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3446
- %3333 = FuncGraph::fg_3447(%3320, %3332) #(Undefined, Undefined) # fg_3447=▶RealDiv.3447 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3334 = Primitive::TupleGetItem{prim_type=1}(%3333, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3448
- %3335 = FuncGraph::fg_3449(%3334, (I64(4), I64(256), I64(84), I64(84))) #(Undefined, Undefined) # fg_3449=▶Reshape.3449 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3336 = Primitive::TupleGetItem{prim_type=1}(%3335, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3450
- %3337 = FuncGraph::fg_3451(%para193, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3451=▶Load.3451 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]3452
- %3338 = Primitive::TupleGetItem{prim_type=1}(%3337, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3453
- %3339 = FuncGraph::fg_3454(%3338, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3454=▶Reshape.3454 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3269
- %3340 = Primitive::TupleGetItem{prim_type=1}(%3339, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3455
- %3341 = FuncGraph::fg_3456(%3336, %3340) #(Undefined, Undefined) # fg_3456=▶Mul.3456 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3342 = Primitive::TupleGetItem{prim_type=1}(%3341, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3457
- %3343 = FuncGraph::fg_3458(%para194, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3458=▶Load.3458 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]3459
- %3344 = Primitive::TupleGetItem{prim_type=1}(%3343, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3460
- %3345 = FuncGraph::fg_3461(%3344, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3461=▶Reshape.3461 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3274
- %3346 = Primitive::TupleGetItem{prim_type=1}(%3345, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3462
- %3347 = FuncGraph::fg_3463(%3342, %3346) #(Undefined, Undefined) # fg_3463=▶Add.3463 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3348 = Primitive::TupleGetItem{prim_type=1}(%3347, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3464
- %3349 = FuncGraph::fg_3465(%3348) #(Undefined) # fg_3465=▶ReLU.3465 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3279
- %3350 = Primitive::TupleGetItem{prim_type=1}(%3349, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # #[CNode]3466
- %3351 = FuncGraph::fg_3467(%para195, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3467=▶Load.3467 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3468
- %3352 = Primitive::TupleGetItem{prim_type=1}(%3351, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3469
- %3353 = FuncGraph::fg_3470(%3350, %3352) #(Undefined, Undefined) # fg_3470=▶Conv2D.3470 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3354 = Primitive::TupleGetItem{prim_type=1}(%3353, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3471
- %3355 = FuncGraph::fg_3472(%para196, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3472=▶Load.3472 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #▲[CNode]3473
- %3356 = Primitive::TupleGetItem{prim_type=1}(%3355, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3474
- %3357 = FuncGraph::fg_3475(%3354, %3356) #(Undefined, Undefined) # fg_3475=▶BiasAdd.3475 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3358 = Primitive::TupleGetItem{prim_type=1}(%3357, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3476
- %3359 = FuncGraph::fg_3477(%3358, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3477=▶Reshape.3477 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3360 = Primitive::TupleGetItem{prim_type=1}(%3359, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3478
- %3361 = FuncGraph::fg_3479(%3360, I64(2)) #(Undefined, Undefined) # fg_3479=▶ReduceMean.3479 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3362 = Primitive::TupleGetItem{prim_type=1}(%3361, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3480
- %3363 = FuncGraph::fg_3481(%3360, %3362) #(Undefined, Undefined) # fg_3481=▶Sub.3481 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3364 = Primitive::TupleGetItem{prim_type=1}(%3363, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3482
- %3365 = FuncGraph::fg_3483(%3360, %3362) #(Undefined, Undefined) # fg_3483=▶Sub.3483 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3366 = Primitive::TupleGetItem{prim_type=1}(%3365, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3484
- %3367 = FuncGraph::fg_3485(%3366) #(Undefined) # fg_3485=▶Square.3485 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3294
- %3368 = Primitive::TupleGetItem{prim_type=1}(%3367, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3486
- %3369 = FuncGraph::fg_3487(%3368, I64(2)) #(Undefined, Undefined) # fg_3487=▶ReduceSum.3487 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3297
- %3370 = Primitive::TupleGetItem{prim_type=1}(%3369, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3488
- %3371 = FuncGraph::fg_3489(%3370, Tensor(43)[]) #(Undefined, Undefined) # fg_3489=▶RealDiv.3489 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3372 = Primitive::TupleGetItem{prim_type=1}(%3371, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3490
- %3373 = FuncGraph::fg_3491(%3372, Tensor(43)[]) #(Undefined, Undefined) # fg_3491=▶Add.3491 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3374 = Primitive::TupleGetItem{prim_type=1}(%3373, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3492
- %3375 = FuncGraph::fg_3493(%3374) #(Undefined) # fg_3493=▶Sqrt.3493 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3376 = Primitive::TupleGetItem{prim_type=1}(%3375, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3494
- %3377 = FuncGraph::fg_3495(%3364, %3376) #(Undefined, Undefined) # fg_3495=▶RealDiv.3495 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3378 = Primitive::TupleGetItem{prim_type=1}(%3377, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3496
- %3379 = FuncGraph::fg_3497(%3378, (I64(4), I64(256), I64(84), I64(84))) #(Undefined, Undefined) # fg_3497=▶Reshape.3497 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3380 = Primitive::TupleGetItem{prim_type=1}(%3379, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3498
- %3381 = FuncGraph::fg_3499(%para197, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3499=▶Load.3499 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]3500
- %3382 = Primitive::TupleGetItem{prim_type=1}(%3381, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3501
- %3383 = FuncGraph::fg_3502(%3382, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3502=▶Reshape.3502 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3310
- %3384 = Primitive::TupleGetItem{prim_type=1}(%3383, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3503
- %3385 = FuncGraph::fg_3504(%3380, %3384) #(Undefined, Undefined) # fg_3504=▶Mul.3504 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3386 = Primitive::TupleGetItem{prim_type=1}(%3385, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3505
- %3387 = FuncGraph::fg_3506(%para198, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3506=▶Load.3506 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]3507
- %3388 = Primitive::TupleGetItem{prim_type=1}(%3387, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3508
- %3389 = FuncGraph::fg_3509(%3388, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3509=▶Reshape.3509 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3315
- %3390 = Primitive::TupleGetItem{prim_type=1}(%3389, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3510
- %3391 = FuncGraph::fg_3511(%3386, %3390) #(Undefined, Undefined) # fg_3511=▶Add.3511 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3392 = Primitive::TupleGetItem{prim_type=1}(%3391, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3512
- %3393 = FuncGraph::fg_3513(%3392) #(Undefined) # fg_3513=▶ReLU.3513 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3320
- %3394 = Primitive::TupleGetItem{prim_type=1}(%3393, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # #[CNode]3514
- %3395 = FuncGraph::fg_3515(%para199, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3515=▶Load.3515 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3516
- %3396 = Primitive::TupleGetItem{prim_type=1}(%3395, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3517
- %3397 = FuncGraph::fg_3518(%3394, %3396) #(Undefined, Undefined) # fg_3518=▶Conv2D.3518 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3398 = Primitive::TupleGetItem{prim_type=1}(%3397, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3519
- %3399 = FuncGraph::fg_3520(%para200, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3520=▶Load.3520 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #▲[CNode]3521
- %3400 = Primitive::TupleGetItem{prim_type=1}(%3399, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3522
- %3401 = FuncGraph::fg_3523(%3398, %3400) #(Undefined, Undefined) # fg_3523=▶BiasAdd.3523 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3402 = Primitive::TupleGetItem{prim_type=1}(%3401, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3524
- %3403 = FuncGraph::fg_3525(%3402, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3525=▶Reshape.3525 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3404 = Primitive::TupleGetItem{prim_type=1}(%3403, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3526
- %3405 = FuncGraph::fg_3527(%3404, I64(2)) #(Undefined, Undefined) # fg_3527=▶ReduceMean.3527 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3406 = Primitive::TupleGetItem{prim_type=1}(%3405, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3528
- %3407 = FuncGraph::fg_3529(%3404, %3406) #(Undefined, Undefined) # fg_3529=▶Sub.3529 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3408 = Primitive::TupleGetItem{prim_type=1}(%3407, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3530
- %3409 = FuncGraph::fg_3531(%3404, %3406) #(Undefined, Undefined) # fg_3531=▶Sub.3531 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3410 = Primitive::TupleGetItem{prim_type=1}(%3409, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3532
- %3411 = FuncGraph::fg_3533(%3410) #(Undefined) # fg_3533=▶Square.3533 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3335
- %3412 = Primitive::TupleGetItem{prim_type=1}(%3411, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3534
- %3413 = FuncGraph::fg_3535(%3412, I64(2)) #(Undefined, Undefined) # fg_3535=▶ReduceSum.3535 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3338
- %3414 = Primitive::TupleGetItem{prim_type=1}(%3413, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3536
- %3415 = FuncGraph::fg_3537(%3414, Tensor(43)[]) #(Undefined, Undefined) # fg_3537=▶RealDiv.3537 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3416 = Primitive::TupleGetItem{prim_type=1}(%3415, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3538
- %3417 = FuncGraph::fg_3539(%3416, Tensor(43)[]) #(Undefined, Undefined) # fg_3539=▶Add.3539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3418 = Primitive::TupleGetItem{prim_type=1}(%3417, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3540
- %3419 = FuncGraph::fg_3541(%3418) #(Undefined) # fg_3541=▶Sqrt.3541 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3420 = Primitive::TupleGetItem{prim_type=1}(%3419, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3542
- %3421 = FuncGraph::fg_3543(%3408, %3420) #(Undefined, Undefined) # fg_3543=▶RealDiv.3543 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3422 = Primitive::TupleGetItem{prim_type=1}(%3421, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3544
- %3423 = FuncGraph::fg_3545(%3422, (I64(4), I64(256), I64(84), I64(84))) #(Undefined, Undefined) # fg_3545=▶Reshape.3545 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3424 = Primitive::TupleGetItem{prim_type=1}(%3423, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3546
- %3425 = FuncGraph::fg_3547(%para201, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3547=▶Load.3547 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]3548
- %3426 = Primitive::TupleGetItem{prim_type=1}(%3425, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3549
- %3427 = FuncGraph::fg_3550(%3426, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3550=▶Reshape.3550 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3351
- %3428 = Primitive::TupleGetItem{prim_type=1}(%3427, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3551
- %3429 = FuncGraph::fg_3552(%3424, %3428) #(Undefined, Undefined) # fg_3552=▶Mul.3552 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3430 = Primitive::TupleGetItem{prim_type=1}(%3429, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3553
- %3431 = FuncGraph::fg_3554(%para202, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3554=▶Load.3554 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]3555
- %3432 = Primitive::TupleGetItem{prim_type=1}(%3431, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3556
- %3433 = FuncGraph::fg_3557(%3432, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3557=▶Reshape.3557 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3356
- %3434 = Primitive::TupleGetItem{prim_type=1}(%3433, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3558
- %3435 = FuncGraph::fg_3559(%3430, %3434) #(Undefined, Undefined) # fg_3559=▶Add.3559 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3436 = Primitive::TupleGetItem{prim_type=1}(%3435, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3560
- %3437 = FuncGraph::fg_3561(%3436) #(Undefined) # fg_3561=▶ReLU.3561 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3361
- %3438 = Primitive::TupleGetItem{prim_type=1}(%3437, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # #[CNode]3562
- %3439 = FuncGraph::fg_3563(%para205, UMonad[U]) #(Ref[Tensor(F32)][1, 256, 3, 3], Undefined) # fg_3563=▶Load.3563 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]3564
- %3440 = Primitive::TupleGetItem{prim_type=1}(%3439, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]3565
- %3441 = FuncGraph::fg_3566(%3438, %3440) #(Undefined, Undefined) # fg_3566=▶Conv2D.3566 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3442 = Primitive::TupleGetItem{prim_type=1}(%3441, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3567
- %3443 = FuncGraph::fg_3568(%para206, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_3568=▶Load.3568 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #▲[CNode]3569
- %3444 = Primitive::TupleGetItem{prim_type=1}(%3443, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3570
- %3445 = FuncGraph::fg_3571(%3442, %3444) #(Undefined, Undefined) # fg_3571=▶BiasAdd.3571 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3446 = Primitive::TupleGetItem{prim_type=1}(%3445, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3572
- %3447 = FuncGraph::fg_3573(%3446, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_3573=▶Transpose.3573 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(420)/ pred = P.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %3448 = Primitive::TupleGetItem{prim_type=1}(%3447, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3574
- %3449 = FuncGraph::fg_3575(%3448, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_3575=▶Reshape.3575 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(421)/ pred = P.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %3450 = Primitive::TupleGetItem{prim_type=1}(%3449, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3576
- %3451 = FuncGraph::fg_3577(%para187, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3577=▶Load.3577 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3578
- %3452 = Primitive::TupleGetItem{prim_type=1}(%3451, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3579
- %3453 = FuncGraph::fg_3580(%2472, %3452) #(Undefined, Undefined) # fg_3580=▶Conv2D.3580 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3454 = Primitive::TupleGetItem{prim_type=1}(%3453, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3581
- %3455 = FuncGraph::fg_3582(%para188, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3582=▶Load.3582 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #▲[CNode]3583
- %3456 = Primitive::TupleGetItem{prim_type=1}(%3455, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3584
- %3457 = FuncGraph::fg_3585(%3454, %3456) #(Undefined, Undefined) # fg_3585=▶BiasAdd.3585 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3458 = Primitive::TupleGetItem{prim_type=1}(%3457, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3586
- %3459 = FuncGraph::fg_3587(%3458, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3587=▶Reshape.3587 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3460 = Primitive::TupleGetItem{prim_type=1}(%3459, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3588
- %3461 = FuncGraph::fg_3589(%3460, I64(2)) #(Undefined, Undefined) # fg_3589=▶ReduceMean.3589 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3462 = Primitive::TupleGetItem{prim_type=1}(%3461, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3590
- %3463 = FuncGraph::fg_3591(%3460, %3462) #(Undefined, Undefined) # fg_3591=▶Sub.3591 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3464 = Primitive::TupleGetItem{prim_type=1}(%3463, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3592
- %3465 = FuncGraph::fg_3593(%3460, %3462) #(Undefined, Undefined) # fg_3593=▶Sub.3593 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3466 = Primitive::TupleGetItem{prim_type=1}(%3465, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3594
- %3467 = FuncGraph::fg_3595(%3466) #(Undefined) # fg_3595=▶Square.3595 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3212
- %3468 = Primitive::TupleGetItem{prim_type=1}(%3467, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3596
- %3469 = FuncGraph::fg_3597(%3468, I64(2)) #(Undefined, Undefined) # fg_3597=▶ReduceSum.3597 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3215
- %3470 = Primitive::TupleGetItem{prim_type=1}(%3469, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3598
- %3471 = FuncGraph::fg_3599(%3470, Tensor(43)[]) #(Undefined, Undefined) # fg_3599=▶RealDiv.3599 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3472 = Primitive::TupleGetItem{prim_type=1}(%3471, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3600
- %3473 = FuncGraph::fg_3601(%3472, Tensor(43)[]) #(Undefined, Undefined) # fg_3601=▶Add.3601 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3474 = Primitive::TupleGetItem{prim_type=1}(%3473, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3602
- %3475 = FuncGraph::fg_3603(%3474) #(Undefined) # fg_3603=▶Sqrt.3603 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3476 = Primitive::TupleGetItem{prim_type=1}(%3475, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3604
- %3477 = FuncGraph::fg_3605(%3464, %3476) #(Undefined, Undefined) # fg_3605=▶RealDiv.3605 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3478 = Primitive::TupleGetItem{prim_type=1}(%3477, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3606
- %3479 = FuncGraph::fg_3607(%3478, (I64(4), I64(256), I64(42), I64(42))) #(Undefined, Undefined) # fg_3607=▶Reshape.3607 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3480 = Primitive::TupleGetItem{prim_type=1}(%3479, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3608
- %3481 = FuncGraph::fg_3609(%para189, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3609=▶Load.3609 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]3610
- %3482 = Primitive::TupleGetItem{prim_type=1}(%3481, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3611
- %3483 = FuncGraph::fg_3612(%3482, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3612=▶Reshape.3612 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3228
- %3484 = Primitive::TupleGetItem{prim_type=1}(%3483, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3613
- %3485 = FuncGraph::fg_3614(%3480, %3484) #(Undefined, Undefined) # fg_3614=▶Mul.3614 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3486 = Primitive::TupleGetItem{prim_type=1}(%3485, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3615
- %3487 = FuncGraph::fg_3616(%para190, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3616=▶Load.3616 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]3617
- %3488 = Primitive::TupleGetItem{prim_type=1}(%3487, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3618
- %3489 = FuncGraph::fg_3619(%3488, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3619=▶Reshape.3619 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3233
- %3490 = Primitive::TupleGetItem{prim_type=1}(%3489, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3620
- %3491 = FuncGraph::fg_3621(%3486, %3490) #(Undefined, Undefined) # fg_3621=▶Add.3621 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3492 = Primitive::TupleGetItem{prim_type=1}(%3491, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3622
- %3493 = FuncGraph::fg_3623(%3492) #(Undefined) # fg_3623=▶ReLU.3623 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3238
- %3494 = Primitive::TupleGetItem{prim_type=1}(%3493, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # #[CNode]3624
- %3495 = FuncGraph::fg_3625(%para191, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3625=▶Load.3625 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3626
- %3496 = Primitive::TupleGetItem{prim_type=1}(%3495, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3627
- %3497 = FuncGraph::fg_3628(%3494, %3496) #(Undefined, Undefined) # fg_3628=▶Conv2D.3628 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3498 = Primitive::TupleGetItem{prim_type=1}(%3497, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3629
- %3499 = FuncGraph::fg_3630(%para192, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3630=▶Load.3630 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #▲[CNode]3631
- %3500 = Primitive::TupleGetItem{prim_type=1}(%3499, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3632
- %3501 = FuncGraph::fg_3633(%3498, %3500) #(Undefined, Undefined) # fg_3633=▶BiasAdd.3633 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3502 = Primitive::TupleGetItem{prim_type=1}(%3501, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3634
- %3503 = FuncGraph::fg_3635(%3502, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3635=▶Reshape.3635 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3504 = Primitive::TupleGetItem{prim_type=1}(%3503, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3636
- %3505 = FuncGraph::fg_3637(%3504, I64(2)) #(Undefined, Undefined) # fg_3637=▶ReduceMean.3637 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3506 = Primitive::TupleGetItem{prim_type=1}(%3505, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3638
- %3507 = FuncGraph::fg_3639(%3504, %3506) #(Undefined, Undefined) # fg_3639=▶Sub.3639 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3508 = Primitive::TupleGetItem{prim_type=1}(%3507, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3640
- %3509 = FuncGraph::fg_3641(%3504, %3506) #(Undefined, Undefined) # fg_3641=▶Sub.3641 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3510 = Primitive::TupleGetItem{prim_type=1}(%3509, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3642
- %3511 = FuncGraph::fg_3643(%3510) #(Undefined) # fg_3643=▶Square.3643 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3253
- %3512 = Primitive::TupleGetItem{prim_type=1}(%3511, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3644
- %3513 = FuncGraph::fg_3645(%3512, I64(2)) #(Undefined, Undefined) # fg_3645=▶ReduceSum.3645 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3256
- %3514 = Primitive::TupleGetItem{prim_type=1}(%3513, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3646
- %3515 = FuncGraph::fg_3647(%3514, Tensor(43)[]) #(Undefined, Undefined) # fg_3647=▶RealDiv.3647 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3516 = Primitive::TupleGetItem{prim_type=1}(%3515, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3648
- %3517 = FuncGraph::fg_3649(%3516, Tensor(43)[]) #(Undefined, Undefined) # fg_3649=▶Add.3649 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3518 = Primitive::TupleGetItem{prim_type=1}(%3517, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3650
- %3519 = FuncGraph::fg_3651(%3518) #(Undefined) # fg_3651=▶Sqrt.3651 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3520 = Primitive::TupleGetItem{prim_type=1}(%3519, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3652
- %3521 = FuncGraph::fg_3653(%3508, %3520) #(Undefined, Undefined) # fg_3653=▶RealDiv.3653 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3522 = Primitive::TupleGetItem{prim_type=1}(%3521, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3654
- %3523 = FuncGraph::fg_3655(%3522, (I64(4), I64(256), I64(42), I64(42))) #(Undefined, Undefined) # fg_3655=▶Reshape.3655 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3524 = Primitive::TupleGetItem{prim_type=1}(%3523, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3656
- %3525 = FuncGraph::fg_3657(%para193, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3657=▶Load.3657 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]3658
- %3526 = Primitive::TupleGetItem{prim_type=1}(%3525, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3659
- %3527 = FuncGraph::fg_3660(%3526, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3660=▶Reshape.3660 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3269
- %3528 = Primitive::TupleGetItem{prim_type=1}(%3527, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3661
- %3529 = FuncGraph::fg_3662(%3524, %3528) #(Undefined, Undefined) # fg_3662=▶Mul.3662 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3530 = Primitive::TupleGetItem{prim_type=1}(%3529, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3663
- %3531 = FuncGraph::fg_3664(%para194, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3664=▶Load.3664 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]3665
- %3532 = Primitive::TupleGetItem{prim_type=1}(%3531, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3666
- %3533 = FuncGraph::fg_3667(%3532, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3667=▶Reshape.3667 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3274
- %3534 = Primitive::TupleGetItem{prim_type=1}(%3533, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3668
- %3535 = FuncGraph::fg_3669(%3530, %3534) #(Undefined, Undefined) # fg_3669=▶Add.3669 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3536 = Primitive::TupleGetItem{prim_type=1}(%3535, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3670
- %3537 = FuncGraph::fg_3671(%3536) #(Undefined) # fg_3671=▶ReLU.3671 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3279
- %3538 = Primitive::TupleGetItem{prim_type=1}(%3537, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # #[CNode]3672
- %3539 = FuncGraph::fg_3673(%para195, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3673=▶Load.3673 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3674
- %3540 = Primitive::TupleGetItem{prim_type=1}(%3539, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3675
- %3541 = FuncGraph::fg_3676(%3538, %3540) #(Undefined, Undefined) # fg_3676=▶Conv2D.3676 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3542 = Primitive::TupleGetItem{prim_type=1}(%3541, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3677
- %3543 = FuncGraph::fg_3678(%para196, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3678=▶Load.3678 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #▲[CNode]3679
- %3544 = Primitive::TupleGetItem{prim_type=1}(%3543, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3680
- %3545 = FuncGraph::fg_3681(%3542, %3544) #(Undefined, Undefined) # fg_3681=▶BiasAdd.3681 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3546 = Primitive::TupleGetItem{prim_type=1}(%3545, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3682
- %3547 = FuncGraph::fg_3683(%3546, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3683=▶Reshape.3683 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3548 = Primitive::TupleGetItem{prim_type=1}(%3547, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3684
- %3549 = FuncGraph::fg_3685(%3548, I64(2)) #(Undefined, Undefined) # fg_3685=▶ReduceMean.3685 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3550 = Primitive::TupleGetItem{prim_type=1}(%3549, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3686
- %3551 = FuncGraph::fg_3687(%3548, %3550) #(Undefined, Undefined) # fg_3687=▶Sub.3687 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3552 = Primitive::TupleGetItem{prim_type=1}(%3551, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3688
- %3553 = FuncGraph::fg_3689(%3548, %3550) #(Undefined, Undefined) # fg_3689=▶Sub.3689 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3554 = Primitive::TupleGetItem{prim_type=1}(%3553, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3690
- %3555 = FuncGraph::fg_3691(%3554) #(Undefined) # fg_3691=▶Square.3691 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3294
- %3556 = Primitive::TupleGetItem{prim_type=1}(%3555, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3692
- %3557 = FuncGraph::fg_3693(%3556, I64(2)) #(Undefined, Undefined) # fg_3693=▶ReduceSum.3693 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3297
- %3558 = Primitive::TupleGetItem{prim_type=1}(%3557, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3694
- %3559 = FuncGraph::fg_3695(%3558, Tensor(43)[]) #(Undefined, Undefined) # fg_3695=▶RealDiv.3695 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3560 = Primitive::TupleGetItem{prim_type=1}(%3559, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3696
- %3561 = FuncGraph::fg_3697(%3560, Tensor(43)[]) #(Undefined, Undefined) # fg_3697=▶Add.3697 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3562 = Primitive::TupleGetItem{prim_type=1}(%3561, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3698
- %3563 = FuncGraph::fg_3699(%3562) #(Undefined) # fg_3699=▶Sqrt.3699 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3564 = Primitive::TupleGetItem{prim_type=1}(%3563, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3700
- %3565 = FuncGraph::fg_3701(%3552, %3564) #(Undefined, Undefined) # fg_3701=▶RealDiv.3701 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3566 = Primitive::TupleGetItem{prim_type=1}(%3565, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3702
- %3567 = FuncGraph::fg_3703(%3566, (I64(4), I64(256), I64(42), I64(42))) #(Undefined, Undefined) # fg_3703=▶Reshape.3703 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3568 = Primitive::TupleGetItem{prim_type=1}(%3567, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3704
- %3569 = FuncGraph::fg_3705(%para197, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3705=▶Load.3705 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]3706
- %3570 = Primitive::TupleGetItem{prim_type=1}(%3569, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3707
- %3571 = FuncGraph::fg_3708(%3570, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3708=▶Reshape.3708 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3310
- %3572 = Primitive::TupleGetItem{prim_type=1}(%3571, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3709
- %3573 = FuncGraph::fg_3710(%3568, %3572) #(Undefined, Undefined) # fg_3710=▶Mul.3710 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3574 = Primitive::TupleGetItem{prim_type=1}(%3573, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3711
- %3575 = FuncGraph::fg_3712(%para198, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3712=▶Load.3712 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]3713
- %3576 = Primitive::TupleGetItem{prim_type=1}(%3575, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3714
- %3577 = FuncGraph::fg_3715(%3576, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3715=▶Reshape.3715 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3315
- %3578 = Primitive::TupleGetItem{prim_type=1}(%3577, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3716
- %3579 = FuncGraph::fg_3717(%3574, %3578) #(Undefined, Undefined) # fg_3717=▶Add.3717 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3580 = Primitive::TupleGetItem{prim_type=1}(%3579, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3718
- %3581 = FuncGraph::fg_3719(%3580) #(Undefined) # fg_3719=▶ReLU.3719 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3320
- %3582 = Primitive::TupleGetItem{prim_type=1}(%3581, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # #[CNode]3720
- %3583 = FuncGraph::fg_3721(%para199, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3721=▶Load.3721 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3722
- %3584 = Primitive::TupleGetItem{prim_type=1}(%3583, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3723
- %3585 = FuncGraph::fg_3724(%3582, %3584) #(Undefined, Undefined) # fg_3724=▶Conv2D.3724 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3586 = Primitive::TupleGetItem{prim_type=1}(%3585, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3725
- %3587 = FuncGraph::fg_3726(%para200, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3726=▶Load.3726 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #▲[CNode]3727
- %3588 = Primitive::TupleGetItem{prim_type=1}(%3587, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3728
- %3589 = FuncGraph::fg_3729(%3586, %3588) #(Undefined, Undefined) # fg_3729=▶BiasAdd.3729 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3590 = Primitive::TupleGetItem{prim_type=1}(%3589, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3730
- %3591 = FuncGraph::fg_3731(%3590, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3731=▶Reshape.3731 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3592 = Primitive::TupleGetItem{prim_type=1}(%3591, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3732
- %3593 = FuncGraph::fg_3733(%3592, I64(2)) #(Undefined, Undefined) # fg_3733=▶ReduceMean.3733 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3594 = Primitive::TupleGetItem{prim_type=1}(%3593, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3734
- %3595 = FuncGraph::fg_3735(%3592, %3594) #(Undefined, Undefined) # fg_3735=▶Sub.3735 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3596 = Primitive::TupleGetItem{prim_type=1}(%3595, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3736
- %3597 = FuncGraph::fg_3737(%3592, %3594) #(Undefined, Undefined) # fg_3737=▶Sub.3737 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3598 = Primitive::TupleGetItem{prim_type=1}(%3597, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3738
- %3599 = FuncGraph::fg_3739(%3598) #(Undefined) # fg_3739=▶Square.3739 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3335
- %3600 = Primitive::TupleGetItem{prim_type=1}(%3599, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3740
- %3601 = FuncGraph::fg_3741(%3600, I64(2)) #(Undefined, Undefined) # fg_3741=▶ReduceSum.3741 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3338
- %3602 = Primitive::TupleGetItem{prim_type=1}(%3601, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3742
- %3603 = FuncGraph::fg_3743(%3602, Tensor(43)[]) #(Undefined, Undefined) # fg_3743=▶RealDiv.3743 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3604 = Primitive::TupleGetItem{prim_type=1}(%3603, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3744
- %3605 = FuncGraph::fg_3745(%3604, Tensor(43)[]) #(Undefined, Undefined) # fg_3745=▶Add.3745 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3606 = Primitive::TupleGetItem{prim_type=1}(%3605, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3746
- %3607 = FuncGraph::fg_3747(%3606) #(Undefined) # fg_3747=▶Sqrt.3747 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3608 = Primitive::TupleGetItem{prim_type=1}(%3607, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3748
- %3609 = FuncGraph::fg_3749(%3596, %3608) #(Undefined, Undefined) # fg_3749=▶RealDiv.3749 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3610 = Primitive::TupleGetItem{prim_type=1}(%3609, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3750
- %3611 = FuncGraph::fg_3751(%3610, (I64(4), I64(256), I64(42), I64(42))) #(Undefined, Undefined) # fg_3751=▶Reshape.3751 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3612 = Primitive::TupleGetItem{prim_type=1}(%3611, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3752
- %3613 = FuncGraph::fg_3753(%para201, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3753=▶Load.3753 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]3754
- %3614 = Primitive::TupleGetItem{prim_type=1}(%3613, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3755
- %3615 = FuncGraph::fg_3756(%3614, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3756=▶Reshape.3756 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3351
- %3616 = Primitive::TupleGetItem{prim_type=1}(%3615, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3757
- %3617 = FuncGraph::fg_3758(%3612, %3616) #(Undefined, Undefined) # fg_3758=▶Mul.3758 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3618 = Primitive::TupleGetItem{prim_type=1}(%3617, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3759
- %3619 = FuncGraph::fg_3760(%para202, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3760=▶Load.3760 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]3761
- %3620 = Primitive::TupleGetItem{prim_type=1}(%3619, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3762
- %3621 = FuncGraph::fg_3763(%3620, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3763=▶Reshape.3763 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3356
- %3622 = Primitive::TupleGetItem{prim_type=1}(%3621, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3764
- %3623 = FuncGraph::fg_3765(%3618, %3622) #(Undefined, Undefined) # fg_3765=▶Add.3765 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3624 = Primitive::TupleGetItem{prim_type=1}(%3623, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3766
- %3625 = FuncGraph::fg_3767(%3624) #(Undefined) # fg_3767=▶ReLU.3767 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3361
- %3626 = Primitive::TupleGetItem{prim_type=1}(%3625, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # #[CNode]3768
- %3627 = FuncGraph::fg_3769(%para205, UMonad[U]) #(Ref[Tensor(F32)][1, 256, 3, 3], Undefined) # fg_3769=▶Load.3769 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]3770
- %3628 = Primitive::TupleGetItem{prim_type=1}(%3627, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]3771
- %3629 = FuncGraph::fg_3772(%3626, %3628) #(Undefined, Undefined) # fg_3772=▶Conv2D.3772 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3630 = Primitive::TupleGetItem{prim_type=1}(%3629, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3773
- %3631 = FuncGraph::fg_3774(%para206, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_3774=▶Load.3774 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #▲[CNode]3775
- %3632 = Primitive::TupleGetItem{prim_type=1}(%3631, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3776
- %3633 = FuncGraph::fg_3777(%3630, %3632) #(Undefined, Undefined) # fg_3777=▶BiasAdd.3777 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3634 = Primitive::TupleGetItem{prim_type=1}(%3633, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3778
- %3635 = FuncGraph::fg_3779(%3634, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_3779=▶Transpose.3779 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(420)/ pred = P.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %3636 = Primitive::TupleGetItem{prim_type=1}(%3635, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3780
- %3637 = FuncGraph::fg_3781(%3636, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_3781=▶Reshape.3781 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(421)/ pred = P.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %3638 = Primitive::TupleGetItem{prim_type=1}(%3637, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3782
- %3639 = FuncGraph::fg_3783(%para187, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3783=▶Load.3783 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3784
- %3640 = Primitive::TupleGetItem{prim_type=1}(%3639, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3785
- %3641 = FuncGraph::fg_3786(%2528, %3640) #(Undefined, Undefined) # fg_3786=▶Conv2D.3786 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3642 = Primitive::TupleGetItem{prim_type=1}(%3641, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3787
- %3643 = FuncGraph::fg_3788(%para188, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3788=▶Load.3788 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #▲[CNode]3789
- %3644 = Primitive::TupleGetItem{prim_type=1}(%3643, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3790
- %3645 = FuncGraph::fg_3791(%3642, %3644) #(Undefined, Undefined) # fg_3791=▶BiasAdd.3791 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3646 = Primitive::TupleGetItem{prim_type=1}(%3645, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3792
- %3647 = FuncGraph::fg_3793(%3646, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3793=▶Reshape.3793 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3648 = Primitive::TupleGetItem{prim_type=1}(%3647, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3794
- %3649 = FuncGraph::fg_3795(%3648, I64(2)) #(Undefined, Undefined) # fg_3795=▶ReduceMean.3795 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3650 = Primitive::TupleGetItem{prim_type=1}(%3649, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3796
- %3651 = FuncGraph::fg_3797(%3648, %3650) #(Undefined, Undefined) # fg_3797=▶Sub.3797 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3652 = Primitive::TupleGetItem{prim_type=1}(%3651, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3798
- %3653 = FuncGraph::fg_3799(%3648, %3650) #(Undefined, Undefined) # fg_3799=▶Sub.3799 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3654 = Primitive::TupleGetItem{prim_type=1}(%3653, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3800
- %3655 = FuncGraph::fg_3801(%3654) #(Undefined) # fg_3801=▶Square.3801 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3212
- %3656 = Primitive::TupleGetItem{prim_type=1}(%3655, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3802
- %3657 = FuncGraph::fg_3803(%3656, I64(2)) #(Undefined, Undefined) # fg_3803=▶ReduceSum.3803 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3215
- %3658 = Primitive::TupleGetItem{prim_type=1}(%3657, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3804
- %3659 = FuncGraph::fg_3805(%3658, Tensor(43)[]) #(Undefined, Undefined) # fg_3805=▶RealDiv.3805 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3660 = Primitive::TupleGetItem{prim_type=1}(%3659, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3806
- %3661 = FuncGraph::fg_3807(%3660, Tensor(43)[]) #(Undefined, Undefined) # fg_3807=▶Add.3807 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3662 = Primitive::TupleGetItem{prim_type=1}(%3661, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3808
- %3663 = FuncGraph::fg_3809(%3662) #(Undefined) # fg_3809=▶Sqrt.3809 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3664 = Primitive::TupleGetItem{prim_type=1}(%3663, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3810
- %3665 = FuncGraph::fg_3811(%3652, %3664) #(Undefined, Undefined) # fg_3811=▶RealDiv.3811 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3666 = Primitive::TupleGetItem{prim_type=1}(%3665, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3812
- %3667 = FuncGraph::fg_3813(%3666, (I64(4), I64(256), I64(21), I64(21))) #(Undefined, Undefined) # fg_3813=▶Reshape.3813 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3668 = Primitive::TupleGetItem{prim_type=1}(%3667, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3814
- %3669 = FuncGraph::fg_3815(%para189, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3815=▶Load.3815 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]3816
- %3670 = Primitive::TupleGetItem{prim_type=1}(%3669, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3817
- %3671 = FuncGraph::fg_3818(%3670, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3818=▶Reshape.3818 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3228
- %3672 = Primitive::TupleGetItem{prim_type=1}(%3671, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3819
- %3673 = FuncGraph::fg_3820(%3668, %3672) #(Undefined, Undefined) # fg_3820=▶Mul.3820 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3674 = Primitive::TupleGetItem{prim_type=1}(%3673, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3821
- %3675 = FuncGraph::fg_3822(%para190, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3822=▶Load.3822 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]3823
- %3676 = Primitive::TupleGetItem{prim_type=1}(%3675, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3824
- %3677 = FuncGraph::fg_3825(%3676, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3825=▶Reshape.3825 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3233
- %3678 = Primitive::TupleGetItem{prim_type=1}(%3677, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3826
- %3679 = FuncGraph::fg_3827(%3674, %3678) #(Undefined, Undefined) # fg_3827=▶Add.3827 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3680 = Primitive::TupleGetItem{prim_type=1}(%3679, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3828
- %3681 = FuncGraph::fg_3829(%3680) #(Undefined) # fg_3829=▶ReLU.3829 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3238
- %3682 = Primitive::TupleGetItem{prim_type=1}(%3681, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # #[CNode]3830
- %3683 = FuncGraph::fg_3831(%para191, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3831=▶Load.3831 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3832
- %3684 = Primitive::TupleGetItem{prim_type=1}(%3683, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3833
- %3685 = FuncGraph::fg_3834(%3682, %3684) #(Undefined, Undefined) # fg_3834=▶Conv2D.3834 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3686 = Primitive::TupleGetItem{prim_type=1}(%3685, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3835
- %3687 = FuncGraph::fg_3836(%para192, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3836=▶Load.3836 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #▲[CNode]3837
- %3688 = Primitive::TupleGetItem{prim_type=1}(%3687, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3838
- %3689 = FuncGraph::fg_3839(%3686, %3688) #(Undefined, Undefined) # fg_3839=▶BiasAdd.3839 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3690 = Primitive::TupleGetItem{prim_type=1}(%3689, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]3840
- %3691 = FuncGraph::fg_3841(%3690, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3841=▶Reshape.3841 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3692 = Primitive::TupleGetItem{prim_type=1}(%3691, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3842
- %3693 = FuncGraph::fg_3843(%3692, I64(2)) #(Undefined, Undefined) # fg_3843=▶ReduceMean.3843 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3694 = Primitive::TupleGetItem{prim_type=1}(%3693, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3844
- %3695 = FuncGraph::fg_3845(%3692, %3694) #(Undefined, Undefined) # fg_3845=▶Sub.3845 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3696 = Primitive::TupleGetItem{prim_type=1}(%3695, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3846
- %3697 = FuncGraph::fg_3847(%3692, %3694) #(Undefined, Undefined) # fg_3847=▶Sub.3847 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3698 = Primitive::TupleGetItem{prim_type=1}(%3697, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3848
- %3699 = FuncGraph::fg_3849(%3698) #(Undefined) # fg_3849=▶Square.3849 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3253
- %3700 = Primitive::TupleGetItem{prim_type=1}(%3699, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3850
- %3701 = FuncGraph::fg_3851(%3700, I64(2)) #(Undefined, Undefined) # fg_3851=▶ReduceSum.3851 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3256
- %3702 = Primitive::TupleGetItem{prim_type=1}(%3701, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3852
- %3703 = FuncGraph::fg_3853(%3702, Tensor(43)[]) #(Undefined, Undefined) # fg_3853=▶RealDiv.3853 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3704 = Primitive::TupleGetItem{prim_type=1}(%3703, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3854
- %3705 = FuncGraph::fg_3855(%3704, Tensor(43)[]) #(Undefined, Undefined) # fg_3855=▶Add.3855 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3706 = Primitive::TupleGetItem{prim_type=1}(%3705, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3856
- %3707 = FuncGraph::fg_3857(%3706) #(Undefined) # fg_3857=▶Sqrt.3857 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3708 = Primitive::TupleGetItem{prim_type=1}(%3707, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3858
- %3709 = FuncGraph::fg_3859(%3696, %3708) #(Undefined, Undefined) # fg_3859=▶RealDiv.3859 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3710 = Primitive::TupleGetItem{prim_type=1}(%3709, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3860
- %3711 = FuncGraph::fg_3861(%3710, (I64(4), I64(256), I64(21), I64(21))) #(Undefined, Undefined) # fg_3861=▶Reshape.3861 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3712 = Primitive::TupleGetItem{prim_type=1}(%3711, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3862
- %3713 = FuncGraph::fg_3863(%para193, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3863=▶Load.3863 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]3864
- %3714 = Primitive::TupleGetItem{prim_type=1}(%3713, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3865
- %3715 = FuncGraph::fg_3866(%3714, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3866=▶Reshape.3866 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3269
- %3716 = Primitive::TupleGetItem{prim_type=1}(%3715, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3867
- %3717 = FuncGraph::fg_3868(%3712, %3716) #(Undefined, Undefined) # fg_3868=▶Mul.3868 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3718 = Primitive::TupleGetItem{prim_type=1}(%3717, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3869
- %3719 = FuncGraph::fg_3870(%para194, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3870=▶Load.3870 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]3871
- %3720 = Primitive::TupleGetItem{prim_type=1}(%3719, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3872
- %3721 = FuncGraph::fg_3873(%3720, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3873=▶Reshape.3873 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3274
- %3722 = Primitive::TupleGetItem{prim_type=1}(%3721, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]3874
- %3723 = FuncGraph::fg_3875(%3718, %3722) #(Undefined, Undefined) # fg_3875=▶Add.3875 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3724 = Primitive::TupleGetItem{prim_type=1}(%3723, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3876
- %3725 = FuncGraph::fg_3877(%3724) #(Undefined) # fg_3877=▶ReLU.3877 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3279
- %3726 = Primitive::TupleGetItem{prim_type=1}(%3725, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # #[CNode]3878
- %3727 = FuncGraph::fg_3879(%para195, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3879=▶Load.3879 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3880
- %3728 = Primitive::TupleGetItem{prim_type=1}(%3727, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3881
- %3729 = FuncGraph::fg_3882(%3726, %3728) #(Undefined, Undefined) # fg_3882=▶Conv2D.3882 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3730 = Primitive::TupleGetItem{prim_type=1}(%3729, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3883
- %3731 = FuncGraph::fg_3884(%para196, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3884=▶Load.3884 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #▲[CNode]3885
- %3732 = Primitive::TupleGetItem{prim_type=1}(%3731, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3886
- %3733 = FuncGraph::fg_3887(%3730, %3732) #(Undefined, Undefined) # fg_3887=▶BiasAdd.3887 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3734 = Primitive::TupleGetItem{prim_type=1}(%3733, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]3888
- %3735 = FuncGraph::fg_3889(%3734, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3889=▶Reshape.3889 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3736 = Primitive::TupleGetItem{prim_type=1}(%3735, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3890
- %3737 = FuncGraph::fg_3891(%3736, I64(2)) #(Undefined, Undefined) # fg_3891=▶ReduceMean.3891 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3738 = Primitive::TupleGetItem{prim_type=1}(%3737, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3892
- %3739 = FuncGraph::fg_3893(%3736, %3738) #(Undefined, Undefined) # fg_3893=▶Sub.3893 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3740 = Primitive::TupleGetItem{prim_type=1}(%3739, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3894
- %3741 = FuncGraph::fg_3895(%3736, %3738) #(Undefined, Undefined) # fg_3895=▶Sub.3895 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3742 = Primitive::TupleGetItem{prim_type=1}(%3741, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3896
- %3743 = FuncGraph::fg_3897(%3742) #(Undefined) # fg_3897=▶Square.3897 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3294
- %3744 = Primitive::TupleGetItem{prim_type=1}(%3743, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3898
- %3745 = FuncGraph::fg_3899(%3744, I64(2)) #(Undefined, Undefined) # fg_3899=▶ReduceSum.3899 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3297
- %3746 = Primitive::TupleGetItem{prim_type=1}(%3745, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3900
- %3747 = FuncGraph::fg_3901(%3746, Tensor(43)[]) #(Undefined, Undefined) # fg_3901=▶RealDiv.3901 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3748 = Primitive::TupleGetItem{prim_type=1}(%3747, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3902
- %3749 = FuncGraph::fg_3903(%3748, Tensor(43)[]) #(Undefined, Undefined) # fg_3903=▶Add.3903 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3750 = Primitive::TupleGetItem{prim_type=1}(%3749, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3904
- %3751 = FuncGraph::fg_3905(%3750) #(Undefined) # fg_3905=▶Sqrt.3905 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3752 = Primitive::TupleGetItem{prim_type=1}(%3751, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3906
- %3753 = FuncGraph::fg_3907(%3740, %3752) #(Undefined, Undefined) # fg_3907=▶RealDiv.3907 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3754 = Primitive::TupleGetItem{prim_type=1}(%3753, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3908
- %3755 = FuncGraph::fg_3909(%3754, (I64(4), I64(256), I64(21), I64(21))) #(Undefined, Undefined) # fg_3909=▶Reshape.3909 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3756 = Primitive::TupleGetItem{prim_type=1}(%3755, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3910
- %3757 = FuncGraph::fg_3911(%para197, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3911=▶Load.3911 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]3912
- %3758 = Primitive::TupleGetItem{prim_type=1}(%3757, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3913
- %3759 = FuncGraph::fg_3914(%3758, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3914=▶Reshape.3914 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3310
- %3760 = Primitive::TupleGetItem{prim_type=1}(%3759, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3915
- %3761 = FuncGraph::fg_3916(%3756, %3760) #(Undefined, Undefined) # fg_3916=▶Mul.3916 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3762 = Primitive::TupleGetItem{prim_type=1}(%3761, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3917
- %3763 = FuncGraph::fg_3918(%para198, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3918=▶Load.3918 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]3919
- %3764 = Primitive::TupleGetItem{prim_type=1}(%3763, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3920
- %3765 = FuncGraph::fg_3921(%3764, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3921=▶Reshape.3921 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3315
- %3766 = Primitive::TupleGetItem{prim_type=1}(%3765, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]3922
- %3767 = FuncGraph::fg_3923(%3762, %3766) #(Undefined, Undefined) # fg_3923=▶Add.3923 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3768 = Primitive::TupleGetItem{prim_type=1}(%3767, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3924
- %3769 = FuncGraph::fg_3925(%3768) #(Undefined) # fg_3925=▶ReLU.3925 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3320
- %3770 = Primitive::TupleGetItem{prim_type=1}(%3769, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # #[CNode]3926
- %3771 = FuncGraph::fg_3927(%para199, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3927=▶Load.3927 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3928
- %3772 = Primitive::TupleGetItem{prim_type=1}(%3771, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3929
- %3773 = FuncGraph::fg_3930(%3770, %3772) #(Undefined, Undefined) # fg_3930=▶Conv2D.3930 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3774 = Primitive::TupleGetItem{prim_type=1}(%3773, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3931
- %3775 = FuncGraph::fg_3932(%para200, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3932=▶Load.3932 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #▲[CNode]3933
- %3776 = Primitive::TupleGetItem{prim_type=1}(%3775, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3934
- %3777 = FuncGraph::fg_3935(%3774, %3776) #(Undefined, Undefined) # fg_3935=▶BiasAdd.3935 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3778 = Primitive::TupleGetItem{prim_type=1}(%3777, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]3936
- %3779 = FuncGraph::fg_3937(%3778, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3937=▶Reshape.3937 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3780 = Primitive::TupleGetItem{prim_type=1}(%3779, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3938
- %3781 = FuncGraph::fg_3939(%3780, I64(2)) #(Undefined, Undefined) # fg_3939=▶ReduceMean.3939 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3782 = Primitive::TupleGetItem{prim_type=1}(%3781, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3940
- %3783 = FuncGraph::fg_3941(%3780, %3782) #(Undefined, Undefined) # fg_3941=▶Sub.3941 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3784 = Primitive::TupleGetItem{prim_type=1}(%3783, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3942
- %3785 = FuncGraph::fg_3943(%3780, %3782) #(Undefined, Undefined) # fg_3943=▶Sub.3943 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3786 = Primitive::TupleGetItem{prim_type=1}(%3785, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3944
- %3787 = FuncGraph::fg_3945(%3786) #(Undefined) # fg_3945=▶Square.3945 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3335
- %3788 = Primitive::TupleGetItem{prim_type=1}(%3787, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3946
- %3789 = FuncGraph::fg_3947(%3788, I64(2)) #(Undefined, Undefined) # fg_3947=▶ReduceSum.3947 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3338
- %3790 = Primitive::TupleGetItem{prim_type=1}(%3789, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3948
- %3791 = FuncGraph::fg_3949(%3790, Tensor(43)[]) #(Undefined, Undefined) # fg_3949=▶RealDiv.3949 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3792 = Primitive::TupleGetItem{prim_type=1}(%3791, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3950
- %3793 = FuncGraph::fg_3951(%3792, Tensor(43)[]) #(Undefined, Undefined) # fg_3951=▶Add.3951 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3794 = Primitive::TupleGetItem{prim_type=1}(%3793, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3952
- %3795 = FuncGraph::fg_3953(%3794) #(Undefined) # fg_3953=▶Sqrt.3953 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3796 = Primitive::TupleGetItem{prim_type=1}(%3795, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3954
- %3797 = FuncGraph::fg_3955(%3784, %3796) #(Undefined, Undefined) # fg_3955=▶RealDiv.3955 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3798 = Primitive::TupleGetItem{prim_type=1}(%3797, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3956
- %3799 = FuncGraph::fg_3957(%3798, (I64(4), I64(256), I64(21), I64(21))) #(Undefined, Undefined) # fg_3957=▶Reshape.3957 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3800 = Primitive::TupleGetItem{prim_type=1}(%3799, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3958
- %3801 = FuncGraph::fg_3959(%para201, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3959=▶Load.3959 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]3960
- %3802 = Primitive::TupleGetItem{prim_type=1}(%3801, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3961
- %3803 = FuncGraph::fg_3962(%3802, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3962=▶Reshape.3962 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3351
- %3804 = Primitive::TupleGetItem{prim_type=1}(%3803, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3963
- %3805 = FuncGraph::fg_3964(%3800, %3804) #(Undefined, Undefined) # fg_3964=▶Mul.3964 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3806 = Primitive::TupleGetItem{prim_type=1}(%3805, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]3965
- %3807 = FuncGraph::fg_3966(%para202, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3966=▶Load.3966 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]3967
- %3808 = Primitive::TupleGetItem{prim_type=1}(%3807, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3968
- %3809 = FuncGraph::fg_3969(%3808, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_3969=▶Reshape.3969 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3356
- %3810 = Primitive::TupleGetItem{prim_type=1}(%3809, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]3970
- %3811 = FuncGraph::fg_3971(%3806, %3810) #(Undefined, Undefined) # fg_3971=▶Add.3971 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3812 = Primitive::TupleGetItem{prim_type=1}(%3811, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]3972
- %3813 = FuncGraph::fg_3973(%3812) #(Undefined) # fg_3973=▶ReLU.3973 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3361
- %3814 = Primitive::TupleGetItem{prim_type=1}(%3813, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # #[CNode]3974
- %3815 = FuncGraph::fg_3975(%para205, UMonad[U]) #(Ref[Tensor(F32)][1, 256, 3, 3], Undefined) # fg_3975=▶Load.3975 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]3976
- %3816 = Primitive::TupleGetItem{prim_type=1}(%3815, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]3977
- %3817 = FuncGraph::fg_3978(%3814, %3816) #(Undefined, Undefined) # fg_3978=▶Conv2D.3978 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3818 = Primitive::TupleGetItem{prim_type=1}(%3817, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3979
- %3819 = FuncGraph::fg_3980(%para206, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_3980=▶Load.3980 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #▲[CNode]3981
- %3820 = Primitive::TupleGetItem{prim_type=1}(%3819, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3982
- %3821 = FuncGraph::fg_3983(%3818, %3820) #(Undefined, Undefined) # fg_3983=▶BiasAdd.3983 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3822 = Primitive::TupleGetItem{prim_type=1}(%3821, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]3984
- %3823 = FuncGraph::fg_3985(%3822, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_3985=▶Transpose.3985 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(420)/ pred = P.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %3824 = Primitive::TupleGetItem{prim_type=1}(%3823, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3986
- %3825 = FuncGraph::fg_3987(%3824, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_3987=▶Reshape.3987 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(421)/ pred = P.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %3826 = Primitive::TupleGetItem{prim_type=1}(%3825, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]3988
- %3827 = FuncGraph::fg_3989(%para187, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_3989=▶Load.3989 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]3990
- %3828 = Primitive::TupleGetItem{prim_type=1}(%3827, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]3991
- %3829 = FuncGraph::fg_3992(%2586, %3828) #(Undefined, Undefined) # fg_3992=▶Conv2D.3992 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3830 = Primitive::TupleGetItem{prim_type=1}(%3829, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3993
- %3831 = FuncGraph::fg_3994(%para188, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_3994=▶Load.3994 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #▲[CNode]3995
- %3832 = Primitive::TupleGetItem{prim_type=1}(%3831, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3996
- %3833 = FuncGraph::fg_3997(%3830, %3832) #(Undefined, Undefined) # fg_3997=▶BiasAdd.3997 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3834 = Primitive::TupleGetItem{prim_type=1}(%3833, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/0-Conv2d
- # #[CNode]3998
- %3835 = FuncGraph::fg_3999(%3834, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_3999=▶Reshape.3999 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3836 = Primitive::TupleGetItem{prim_type=1}(%3835, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4000
- %3837 = FuncGraph::fg_4001(%3836, I64(2)) #(Undefined, Undefined) # fg_4001=▶ReduceMean.4001 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3838 = Primitive::TupleGetItem{prim_type=1}(%3837, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4002
- %3839 = FuncGraph::fg_4003(%3836, %3838) #(Undefined, Undefined) # fg_4003=▶Sub.4003 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3840 = Primitive::TupleGetItem{prim_type=1}(%3839, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4004
- %3841 = FuncGraph::fg_4005(%3836, %3838) #(Undefined, Undefined) # fg_4005=▶Sub.4005 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3842 = Primitive::TupleGetItem{prim_type=1}(%3841, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4006
- %3843 = FuncGraph::fg_4007(%3842) #(Undefined) # fg_4007=▶Square.4007 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3212
- %3844 = Primitive::TupleGetItem{prim_type=1}(%3843, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4008
- %3845 = FuncGraph::fg_4009(%3844, I64(2)) #(Undefined, Undefined) # fg_4009=▶ReduceSum.4009 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3215
- %3846 = Primitive::TupleGetItem{prim_type=1}(%3845, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4010
- %3847 = FuncGraph::fg_4011(%3846, Tensor(43)[]) #(Undefined, Undefined) # fg_4011=▶RealDiv.4011 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3848 = Primitive::TupleGetItem{prim_type=1}(%3847, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4012
- %3849 = FuncGraph::fg_4013(%3848, Tensor(43)[]) #(Undefined, Undefined) # fg_4013=▶Add.4013 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3850 = Primitive::TupleGetItem{prim_type=1}(%3849, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4014
- %3851 = FuncGraph::fg_4015(%3850) #(Undefined) # fg_4015=▶Sqrt.4015 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3852 = Primitive::TupleGetItem{prim_type=1}(%3851, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4016
- %3853 = FuncGraph::fg_4017(%3840, %3852) #(Undefined, Undefined) # fg_4017=▶RealDiv.4017 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3854 = Primitive::TupleGetItem{prim_type=1}(%3853, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4018
- %3855 = FuncGraph::fg_4019(%3854, (I64(4), I64(256), I64(11), I64(11))) #(Undefined, Undefined) # fg_4019=▶Reshape.4019 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3856 = Primitive::TupleGetItem{prim_type=1}(%3855, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4020
- %3857 = FuncGraph::fg_4021(%para189, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4021=▶Load.4021 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]4022
- %3858 = Primitive::TupleGetItem{prim_type=1}(%3857, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4023
- %3859 = FuncGraph::fg_4024(%3858, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_4024=▶Reshape.4024 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3228
- %3860 = Primitive::TupleGetItem{prim_type=1}(%3859, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4025
- %3861 = FuncGraph::fg_4026(%3856, %3860) #(Undefined, Undefined) # fg_4026=▶Mul.4026 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3862 = Primitive::TupleGetItem{prim_type=1}(%3861, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4027
- %3863 = FuncGraph::fg_4028(%para190, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4028=▶Load.4028 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #▲[CNode]4029
- %3864 = Primitive::TupleGetItem{prim_type=1}(%3863, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4030
- %3865 = FuncGraph::fg_4031(%3864, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_4031=▶Reshape.4031 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3233
- %3866 = Primitive::TupleGetItem{prim_type=1}(%3865, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4032
- %3867 = FuncGraph::fg_4033(%3862, %3866) #(Undefined, Undefined) # fg_4033=▶Add.4033 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3868 = Primitive::TupleGetItem{prim_type=1}(%3867, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4034
- %3869 = FuncGraph::fg_4035(%3868) #(Undefined) # fg_4035=▶ReLU.4035 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3238
- %3870 = Primitive::TupleGetItem{prim_type=1}(%3869, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/2-ReLU
- # #[CNode]4036
- %3871 = FuncGraph::fg_4037(%para191, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_4037=▶Load.4037 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]4038
- %3872 = Primitive::TupleGetItem{prim_type=1}(%3871, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]4039
- %3873 = FuncGraph::fg_4040(%3870, %3872) #(Undefined, Undefined) # fg_4040=▶Conv2D.4040 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3874 = Primitive::TupleGetItem{prim_type=1}(%3873, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]4041
- %3875 = FuncGraph::fg_4042(%para192, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4042=▶Load.4042 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #▲[CNode]4043
- %3876 = Primitive::TupleGetItem{prim_type=1}(%3875, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]4044
- %3877 = FuncGraph::fg_4045(%3874, %3876) #(Undefined, Undefined) # fg_4045=▶BiasAdd.4045 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3878 = Primitive::TupleGetItem{prim_type=1}(%3877, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/3-Conv2d
- # #[CNode]4046
- %3879 = FuncGraph::fg_4047(%3878, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_4047=▶Reshape.4047 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3880 = Primitive::TupleGetItem{prim_type=1}(%3879, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4048
- %3881 = FuncGraph::fg_4049(%3880, I64(2)) #(Undefined, Undefined) # fg_4049=▶ReduceMean.4049 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3882 = Primitive::TupleGetItem{prim_type=1}(%3881, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4050
- %3883 = FuncGraph::fg_4051(%3880, %3882) #(Undefined, Undefined) # fg_4051=▶Sub.4051 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3884 = Primitive::TupleGetItem{prim_type=1}(%3883, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4052
- %3885 = FuncGraph::fg_4053(%3880, %3882) #(Undefined, Undefined) # fg_4053=▶Sub.4053 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3886 = Primitive::TupleGetItem{prim_type=1}(%3885, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4054
- %3887 = FuncGraph::fg_4055(%3886) #(Undefined) # fg_4055=▶Square.4055 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3253
- %3888 = Primitive::TupleGetItem{prim_type=1}(%3887, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4056
- %3889 = FuncGraph::fg_4057(%3888, I64(2)) #(Undefined, Undefined) # fg_4057=▶ReduceSum.4057 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3256
- %3890 = Primitive::TupleGetItem{prim_type=1}(%3889, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4058
- %3891 = FuncGraph::fg_4059(%3890, Tensor(43)[]) #(Undefined, Undefined) # fg_4059=▶RealDiv.4059 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3892 = Primitive::TupleGetItem{prim_type=1}(%3891, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4060
- %3893 = FuncGraph::fg_4061(%3892, Tensor(43)[]) #(Undefined, Undefined) # fg_4061=▶Add.4061 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3894 = Primitive::TupleGetItem{prim_type=1}(%3893, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4062
- %3895 = FuncGraph::fg_4063(%3894) #(Undefined) # fg_4063=▶Sqrt.4063 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3896 = Primitive::TupleGetItem{prim_type=1}(%3895, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4064
- %3897 = FuncGraph::fg_4065(%3884, %3896) #(Undefined, Undefined) # fg_4065=▶RealDiv.4065 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3898 = Primitive::TupleGetItem{prim_type=1}(%3897, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4066
- %3899 = FuncGraph::fg_4067(%3898, (I64(4), I64(256), I64(11), I64(11))) #(Undefined, Undefined) # fg_4067=▶Reshape.4067 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3900 = Primitive::TupleGetItem{prim_type=1}(%3899, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4068
- %3901 = FuncGraph::fg_4069(%para193, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4069=▶Load.4069 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]4070
- %3902 = Primitive::TupleGetItem{prim_type=1}(%3901, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4071
- %3903 = FuncGraph::fg_4072(%3902, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_4072=▶Reshape.4072 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3269
- %3904 = Primitive::TupleGetItem{prim_type=1}(%3903, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4073
- %3905 = FuncGraph::fg_4074(%3900, %3904) #(Undefined, Undefined) # fg_4074=▶Mul.4074 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3906 = Primitive::TupleGetItem{prim_type=1}(%3905, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4075
- %3907 = FuncGraph::fg_4076(%para194, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4076=▶Load.4076 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #▲[CNode]4077
- %3908 = Primitive::TupleGetItem{prim_type=1}(%3907, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4078
- %3909 = FuncGraph::fg_4079(%3908, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_4079=▶Reshape.4079 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3274
- %3910 = Primitive::TupleGetItem{prim_type=1}(%3909, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/4-GroupNorm
- # #[CNode]4080
- %3911 = FuncGraph::fg_4081(%3906, %3910) #(Undefined, Undefined) # fg_4081=▶Add.4081 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3912 = Primitive::TupleGetItem{prim_type=1}(%3911, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4082
- %3913 = FuncGraph::fg_4083(%3912) #(Undefined) # fg_4083=▶ReLU.4083 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3279
- %3914 = Primitive::TupleGetItem{prim_type=1}(%3913, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/5-ReLU
- # #[CNode]4084
- %3915 = FuncGraph::fg_4085(%para195, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_4085=▶Load.4085 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]4086
- %3916 = Primitive::TupleGetItem{prim_type=1}(%3915, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]4087
- %3917 = FuncGraph::fg_4088(%3914, %3916) #(Undefined, Undefined) # fg_4088=▶Conv2D.4088 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3918 = Primitive::TupleGetItem{prim_type=1}(%3917, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]4089
- %3919 = FuncGraph::fg_4090(%para196, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4090=▶Load.4090 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #▲[CNode]4091
- %3920 = Primitive::TupleGetItem{prim_type=1}(%3919, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]4092
- %3921 = FuncGraph::fg_4093(%3918, %3920) #(Undefined, Undefined) # fg_4093=▶BiasAdd.4093 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3922 = Primitive::TupleGetItem{prim_type=1}(%3921, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/6-Conv2d
- # #[CNode]4094
- %3923 = FuncGraph::fg_4095(%3922, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_4095=▶Reshape.4095 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3924 = Primitive::TupleGetItem{prim_type=1}(%3923, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4096
- %3925 = FuncGraph::fg_4097(%3924, I64(2)) #(Undefined, Undefined) # fg_4097=▶ReduceMean.4097 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3926 = Primitive::TupleGetItem{prim_type=1}(%3925, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4098
- %3927 = FuncGraph::fg_4099(%3924, %3926) #(Undefined, Undefined) # fg_4099=▶Sub.4099 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3928 = Primitive::TupleGetItem{prim_type=1}(%3927, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4100
- %3929 = FuncGraph::fg_4101(%3924, %3926) #(Undefined, Undefined) # fg_4101=▶Sub.4101 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3930 = Primitive::TupleGetItem{prim_type=1}(%3929, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4102
- %3931 = FuncGraph::fg_4103(%3930) #(Undefined) # fg_4103=▶Square.4103 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3294
- %3932 = Primitive::TupleGetItem{prim_type=1}(%3931, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4104
- %3933 = FuncGraph::fg_4105(%3932, I64(2)) #(Undefined, Undefined) # fg_4105=▶ReduceSum.4105 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3297
- %3934 = Primitive::TupleGetItem{prim_type=1}(%3933, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4106
- %3935 = FuncGraph::fg_4107(%3934, Tensor(43)[]) #(Undefined, Undefined) # fg_4107=▶RealDiv.4107 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3936 = Primitive::TupleGetItem{prim_type=1}(%3935, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4108
- %3937 = FuncGraph::fg_4109(%3936, Tensor(43)[]) #(Undefined, Undefined) # fg_4109=▶Add.4109 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3938 = Primitive::TupleGetItem{prim_type=1}(%3937, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4110
- %3939 = FuncGraph::fg_4111(%3938) #(Undefined) # fg_4111=▶Sqrt.4111 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3940 = Primitive::TupleGetItem{prim_type=1}(%3939, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4112
- %3941 = FuncGraph::fg_4113(%3928, %3940) #(Undefined, Undefined) # fg_4113=▶RealDiv.4113 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3942 = Primitive::TupleGetItem{prim_type=1}(%3941, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4114
- %3943 = FuncGraph::fg_4115(%3942, (I64(4), I64(256), I64(11), I64(11))) #(Undefined, Undefined) # fg_4115=▶Reshape.4115 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3944 = Primitive::TupleGetItem{prim_type=1}(%3943, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4116
- %3945 = FuncGraph::fg_4117(%para197, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4117=▶Load.4117 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]4118
- %3946 = Primitive::TupleGetItem{prim_type=1}(%3945, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4119
- %3947 = FuncGraph::fg_4120(%3946, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_4120=▶Reshape.4120 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3310
- %3948 = Primitive::TupleGetItem{prim_type=1}(%3947, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4121
- %3949 = FuncGraph::fg_4122(%3944, %3948) #(Undefined, Undefined) # fg_4122=▶Mul.4122 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3950 = Primitive::TupleGetItem{prim_type=1}(%3949, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4123
- %3951 = FuncGraph::fg_4124(%para198, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4124=▶Load.4124 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #▲[CNode]4125
- %3952 = Primitive::TupleGetItem{prim_type=1}(%3951, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4126
- %3953 = FuncGraph::fg_4127(%3952, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_4127=▶Reshape.4127 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3315
- %3954 = Primitive::TupleGetItem{prim_type=1}(%3953, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/7-GroupNorm
- # #[CNode]4128
- %3955 = FuncGraph::fg_4129(%3950, %3954) #(Undefined, Undefined) # fg_4129=▶Add.4129 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %3956 = Primitive::TupleGetItem{prim_type=1}(%3955, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4130
- %3957 = FuncGraph::fg_4131(%3956) #(Undefined) # fg_4131=▶ReLU.4131 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3320
- %3958 = Primitive::TupleGetItem{prim_type=1}(%3957, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/8-ReLU
- # #[CNode]4132
- %3959 = FuncGraph::fg_4133(%para199, UMonad[U]) #(Ref[Tensor(F32)][256, 256, 3, 3], Undefined) # fg_4133=▶Load.4133 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #▲[CNode]4134
- %3960 = Primitive::TupleGetItem{prim_type=1}(%3959, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell
- # #[CNode]4135
- %3961 = FuncGraph::fg_4136(%3958, %3960) #(Undefined, Undefined) # fg_4136=▶Conv2D.4136 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %3962 = Primitive::TupleGetItem{prim_type=1}(%3961, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]4137
- %3963 = FuncGraph::fg_4138(%para200, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4138=▶Load.4138 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #▲[CNode]4139
- %3964 = Primitive::TupleGetItem{prim_type=1}(%3963, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]4140
- %3965 = FuncGraph::fg_4141(%3962, %3964) #(Undefined, Undefined) # fg_4141=▶BiasAdd.4141 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %3966 = Primitive::TupleGetItem{prim_type=1}(%3965, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/9-Conv2d
- # #[CNode]4142
- %3967 = FuncGraph::fg_4143(%3966, (I64(4), I64(32), I64(-1))) #(Undefined, Undefined) # fg_4143=▶Reshape.4143 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1112)/ x = self.reshape(x, (batch, self.num_groups, -1))/#▲x
- %3968 = Primitive::TupleGetItem{prim_type=1}(%3967, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4144
- %3969 = FuncGraph::fg_4145(%3968, I64(2)) #(Undefined, Undefined) # fg_4145=▶ReduceMean.4145 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1113)/ mean = self.reduce_mean(x, 2)/#▲mean
- %3970 = Primitive::TupleGetItem{prim_type=1}(%3969, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4146
- %3971 = FuncGraph::fg_4147(%3968, %3970) #(Undefined, Undefined) # fg_4147=▶Sub.4147 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3972 = Primitive::TupleGetItem{prim_type=1}(%3971, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4148
- %3973 = FuncGraph::fg_4149(%3968, %3970) #(Undefined, Undefined) # fg_4149=▶Sub.4149 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %3974 = Primitive::TupleGetItem{prim_type=1}(%3973, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4150
- %3975 = FuncGraph::fg_4151(%3974) #(Undefined) # fg_4151=▶Square.4151 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3335
- %3976 = Primitive::TupleGetItem{prim_type=1}(%3975, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4152
- %3977 = FuncGraph::fg_4153(%3976, I64(2)) #(Undefined, Undefined) # fg_4153=▶ReduceSum.4153 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1114)/ var = self.reduce_sum(self.square(x - mean), 2) / (channel * height * width / self.num_groups)/#▲[CNode]3338
- %3978 = Primitive::TupleGetItem{prim_type=1}(%3977, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4154
- %3979 = FuncGraph::fg_4155(%3978, Tensor(43)[]) #(Undefined, Undefined) # fg_4155=▶RealDiv.4155 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(87)/ return F.tensor_div(x, y)/#▲[CNode]532
- %3980 = Primitive::TupleGetItem{prim_type=1}(%3979, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4156
- %3981 = FuncGraph::fg_4157(%3980, Tensor(43)[]) #(Undefined, Undefined) # fg_4157=▶Add.4157 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %3982 = Primitive::TupleGetItem{prim_type=1}(%3981, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4158
- %3983 = FuncGraph::fg_4159(%3982) #(Undefined) # fg_4159=▶Sqrt.4159 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1115)/ std = self.sqrt(var + self.eps)/#▲std
- %3984 = Primitive::TupleGetItem{prim_type=1}(%3983, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4160
- %3985 = FuncGraph::fg_4161(%3972, %3984) #(Undefined, Undefined) # fg_4161=▶RealDiv.4161 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %3986 = Primitive::TupleGetItem{prim_type=1}(%3985, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4162
- %3987 = FuncGraph::fg_4163(%3986, (I64(4), I64(256), I64(11), I64(11))) #(Undefined, Undefined) # fg_4163=▶Reshape.4163 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1117)/ x = self.reshape(x, (batch, channel, height, width))/#▲x
- %3988 = Primitive::TupleGetItem{prim_type=1}(%3987, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4164
- %3989 = FuncGraph::fg_4165(%para201, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4165=▶Load.4165 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]4166
- %3990 = Primitive::TupleGetItem{prim_type=1}(%3989, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4167
- %3991 = FuncGraph::fg_4168(%3990, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_4168=▶Reshape.4168 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3351
- %3992 = Primitive::TupleGetItem{prim_type=1}(%3991, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4169
- %3993 = FuncGraph::fg_4170(%3988, %3992) #(Undefined, Undefined) # fg_4170=▶Mul.4170 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %3994 = Primitive::TupleGetItem{prim_type=1}(%3993, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4171
- %3995 = FuncGraph::fg_4172(%para202, UMonad[U]) #(Ref[Tensor(F32)][256], Undefined) # fg_4172=▶Load.4172 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #▲[CNode]4173
- %3996 = Primitive::TupleGetItem{prim_type=1}(%3995, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4174
- %3997 = FuncGraph::fg_4175(%3996, (I64(-1), I64(1), I64(1))) #(Undefined, Undefined) # fg_4175=▶Reshape.4175 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/normalization.py(1118)/ output = x * self.reshape(self.gamma, (-1, 1, 1)) + self.reshape(self.beta, (-1, 1, 1))/#▲[CNode]3356
- %3998 = Primitive::TupleGetItem{prim_type=1}(%3997, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/10-GroupNorm
- # #[CNode]4176
- %3999 = FuncGraph::fg_4177(%3994, %3998) #(Undefined, Undefined) # fg_4177=▶Add.4177 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4000 = Primitive::TupleGetItem{prim_type=1}(%3999, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4178
- %4001 = FuncGraph::fg_4179(%4000) #(Undefined) # fg_4179=▶ReLU.4179 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/activation.py(242)/ return self.relu(x)/#▲[CNode]3361
- %4002 = Primitive::TupleGetItem{prim_type=1}(%4001, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/11-ReLU
- # #[CNode]4180
- %4003 = FuncGraph::fg_4181(%para205, UMonad[U]) #(Ref[Tensor(F32)][1, 256, 3, 3], Undefined) # fg_4181=▶Load.4181 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]4182
- %4004 = Primitive::TupleGetItem{prim_type=1}(%4003, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4183
- %4005 = FuncGraph::fg_4184(%4002, %4004) #(Undefined, Undefined) # fg_4184=▶Conv2D.4184 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %4006 = Primitive::TupleGetItem{prim_type=1}(%4005, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]4185
- %4007 = FuncGraph::fg_4186(%para206, UMonad[U]) #(Ref[Tensor(F32)][1], Undefined) # fg_4186=▶Load.4186 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #▲[CNode]4187
- %4008 = Primitive::TupleGetItem{prim_type=1}(%4007, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]4188
- %4009 = FuncGraph::fg_4189(%4006, %4008) #(Undefined, Undefined) # fg_4189=▶BiasAdd.4189 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %4010 = Primitive::TupleGetItem{prim_type=1}(%4009, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/cnt_logits-Conv2d
- # #[CNode]4190
- %4011 = FuncGraph::fg_4191(%4010, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_4191=▶Transpose.4191 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(420)/ pred = P.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %4012 = Primitive::TupleGetItem{prim_type=1}(%4011, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4192
- %4013 = FuncGraph::fg_4193(%4012, (I64(4), I64(-1), I64(1))) #(Undefined, Undefined) # fg_4193=▶Reshape.4193 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(421)/ pred = P.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %4014 = Primitive::TupleGetItem{prim_type=1}(%4013, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4194
- %4015 = MakeTupleGradient::make_tuple_gradient(%3262, %3450, %3638, %3826, %4014) #(Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4195
- %4016 = Primitive::TupleGetItem{prim_type=1}(%4015, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4196
- %4017 = FuncGraph::fg_4197(%4016) #(Undefined) # fg_4197=▶Concat.4197 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(423)/ preds = P.Concat(axis=1)(preds_reshape)/#▲preds
- %4018 = Primitive::TupleGetItem{prim_type=1}(%4017, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4198
- %4019 = FuncGraph::fg_4199(%4018, (I64(0), I64(0), I64(0)), (I64(1), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4199=▶StridedSlice.4199 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4020 = Primitive::TupleGetItem{prim_type=1}(%4019, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4200
- %4021 = FuncGraph::fg_4201(%4020, (I64(-1))) #(Undefined, Undefined) # fg_4201=▶Reshape.4201 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(348)/ return F.reshape(x, (-1,))/#▲[CNode]4202
- %4022 = Primitive::TupleGetItem{prim_type=1}(%4021, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4203
- %4023 = FuncGraph::fg_4204(%4022) #(Undefined) # fg_4204=▶Sigmoid.4204 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(443)/ pred_pos = P.Sigmoid()(pred_pos)/#▲pred_pos
- %4024 = Primitive::TupleGetItem{prim_type=1}(%4023, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4205
- %4025 = FuncGraph::fg_4199(%3090, (I64(0), I64(0), I64(0)), (I64(1), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4199=▶StridedSlice.4199 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4026 = Primitive::TupleGetItem{prim_type=1}(%4025, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4206
- %4027 = FuncGraph::fg_4201(%4026, (I64(-1))) #(Undefined, Undefined) # fg_4201=▶Reshape.4201 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(348)/ return F.reshape(x, (-1,))/#▲[CNode]4202
- %4028 = Primitive::TupleGetItem{prim_type=1}(%4027, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4207
- %4029 = FuncGraph::fg_4208(%4024, %4028, Tensor(43)[37606]) #(Undefined, Undefined, Undefined) # fg_4208=▶BinaryCrossEntropy.4208 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(447)/ bce_result = P.BinaryCrossEntropy(reduction='none')(pred_pos, target_pos, weight)/#▲bce_result
- %4030 = Primitive::TupleGetItem{prim_type=1}(%4029, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4209
- %4031 = FuncGraph::fg_4210(%4030, (I64(1), I64(-1))) #(Undefined, Undefined) # fg_4210=▶Reshape.4210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4032 = Primitive::TupleGetItem{prim_type=1}(%4031, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4211
- %4033 = FuncGraph::fg_4212(%3094, I64(-1)) #(Undefined, Undefined) # fg_4212=▶ExpandDims.4212 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(409)/ mask = ops.ExpandDims()(mask, -1)/#▲mask
- %4034 = Primitive::TupleGetItem{prim_type=1}(%4033, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4213
- %4035 = FuncGraph::fg_4214(%4034, F32) #(Undefined, Undefined) # fg_4214=▶Cast.4214 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(426)/ for batch_index in range(batch_size):/#▲Φmask
- %4036 = Primitive::TupleGetItem{prim_type=1}(%4035, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4215
- %4037 = FuncGraph::fg_4199(%4036, (I64(0), I64(0), I64(0)), (I64(1), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4199=▶StridedSlice.4199 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4038 = Primitive::TupleGetItem{prim_type=1}(%4037, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4216
- %4039 = FuncGraph::fg_4217(%4032, %4038) #(Undefined, Undefined) # fg_4217=▶MatMul.4217 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/math_ops.py(345)/ return matmul_op(x1, x2)/#▲[CNode]4218
- %4040 = Primitive::TupleGetItem{prim_type=1}(%4039, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4219
- %4041 = FuncGraph::fg_4220(%4040, (I64(1))) #(Undefined, Undefined) # fg_4220=▶Reshape.4220 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(454)/ bce_result = P.Reshape()(bce_result, (1,))/#▲bce_result
- %4042 = Primitive::TupleGetItem{prim_type=1}(%4041, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4221
- %4043 = FuncGraph::fg_4222(%4018, (I64(1), I64(0), I64(0)), (I64(2), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4222=▶StridedSlice.4222 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4044 = Primitive::TupleGetItem{prim_type=1}(%4043, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4223
- %4045 = FuncGraph::fg_4201(%4044, (I64(-1))) #(Undefined, Undefined) # fg_4201=▶Reshape.4201 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(348)/ return F.reshape(x, (-1,))/#▲[CNode]4202
- %4046 = Primitive::TupleGetItem{prim_type=1}(%4045, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4224
- %4047 = FuncGraph::fg_4225(%4046) #(Undefined) # fg_4225=▶Sigmoid.4225 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(443)/ pred_pos = P.Sigmoid()(pred_pos)/#▲pred_pos
- %4048 = Primitive::TupleGetItem{prim_type=1}(%4047, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4226
- %4049 = FuncGraph::fg_4222(%3090, (I64(1), I64(0), I64(0)), (I64(2), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4222=▶StridedSlice.4222 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4050 = Primitive::TupleGetItem{prim_type=1}(%4049, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4227
- %4051 = FuncGraph::fg_4201(%4050, (I64(-1))) #(Undefined, Undefined) # fg_4201=▶Reshape.4201 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(348)/ return F.reshape(x, (-1,))/#▲[CNode]4202
- %4052 = Primitive::TupleGetItem{prim_type=1}(%4051, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4228
- %4053 = FuncGraph::fg_4229(%4048, %4052, Tensor(43)[37606]) #(Undefined, Undefined, Undefined) # fg_4229=▶BinaryCrossEntropy.4229 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(447)/ bce_result = P.BinaryCrossEntropy(reduction='none')(pred_pos, target_pos, weight)/#▲bce_result
- %4054 = Primitive::TupleGetItem{prim_type=1}(%4053, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4230
- %4055 = FuncGraph::fg_4210(%4054, (I64(1), I64(-1))) #(Undefined, Undefined) # fg_4210=▶Reshape.4210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4056 = Primitive::TupleGetItem{prim_type=1}(%4055, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4231
- %4057 = FuncGraph::fg_4222(%4036, (I64(1), I64(0), I64(0)), (I64(2), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4222=▶StridedSlice.4222 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4058 = Primitive::TupleGetItem{prim_type=1}(%4057, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4232
- %4059 = FuncGraph::fg_4217(%4056, %4058) #(Undefined, Undefined) # fg_4217=▶MatMul.4217 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/math_ops.py(345)/ return matmul_op(x1, x2)/#▲[CNode]4218
- %4060 = Primitive::TupleGetItem{prim_type=1}(%4059, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4233
- %4061 = FuncGraph::fg_4234(%4060, (I64(1))) #(Undefined, Undefined) # fg_4234=▶Reshape.4234 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(454)/ bce_result = P.Reshape()(bce_result, (1,))/#▲bce_result
- %4062 = Primitive::TupleGetItem{prim_type=1}(%4061, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4235
- %4063 = FuncGraph::fg_4236(%4018, (I64(2), I64(0), I64(0)), (I64(3), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4236=▶StridedSlice.4236 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4064 = Primitive::TupleGetItem{prim_type=1}(%4063, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4237
- %4065 = FuncGraph::fg_4201(%4064, (I64(-1))) #(Undefined, Undefined) # fg_4201=▶Reshape.4201 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(348)/ return F.reshape(x, (-1,))/#▲[CNode]4202
- %4066 = Primitive::TupleGetItem{prim_type=1}(%4065, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4238
- %4067 = FuncGraph::fg_4239(%4066) #(Undefined) # fg_4239=▶Sigmoid.4239 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(443)/ pred_pos = P.Sigmoid()(pred_pos)/#▲pred_pos
- %4068 = Primitive::TupleGetItem{prim_type=1}(%4067, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4240
- %4069 = FuncGraph::fg_4236(%3090, (I64(2), I64(0), I64(0)), (I64(3), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4236=▶StridedSlice.4236 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4070 = Primitive::TupleGetItem{prim_type=1}(%4069, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4241
- %4071 = FuncGraph::fg_4201(%4070, (I64(-1))) #(Undefined, Undefined) # fg_4201=▶Reshape.4201 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(348)/ return F.reshape(x, (-1,))/#▲[CNode]4202
- %4072 = Primitive::TupleGetItem{prim_type=1}(%4071, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4242
- %4073 = FuncGraph::fg_4243(%4068, %4072, Tensor(43)[37606]) #(Undefined, Undefined, Undefined) # fg_4243=▶BinaryCrossEntropy.4243 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(447)/ bce_result = P.BinaryCrossEntropy(reduction='none')(pred_pos, target_pos, weight)/#▲bce_result
- %4074 = Primitive::TupleGetItem{prim_type=1}(%4073, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4244
- %4075 = FuncGraph::fg_4210(%4074, (I64(1), I64(-1))) #(Undefined, Undefined) # fg_4210=▶Reshape.4210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4076 = Primitive::TupleGetItem{prim_type=1}(%4075, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4245
- %4077 = FuncGraph::fg_4236(%4036, (I64(2), I64(0), I64(0)), (I64(3), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4236=▶StridedSlice.4236 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4078 = Primitive::TupleGetItem{prim_type=1}(%4077, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4246
- %4079 = FuncGraph::fg_4217(%4076, %4078) #(Undefined, Undefined) # fg_4217=▶MatMul.4217 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/math_ops.py(345)/ return matmul_op(x1, x2)/#▲[CNode]4218
- %4080 = Primitive::TupleGetItem{prim_type=1}(%4079, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4247
- %4081 = FuncGraph::fg_4248(%4080, (I64(1))) #(Undefined, Undefined) # fg_4248=▶Reshape.4248 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(454)/ bce_result = P.Reshape()(bce_result, (1,))/#▲bce_result
- %4082 = Primitive::TupleGetItem{prim_type=1}(%4081, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4249
- %4083 = FuncGraph::fg_4250(%4018) #(Undefined) # fg_4250=▶6435_300__tensor_getitem_by_number.4250 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(439)/ pred_pos = preds[batch_index].flatten()/#▲[CNode]4251
- %4084 = Primitive::TupleGetItem{prim_type=1}(%4083, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4252
- %4085 = FuncGraph::fg_4253(%4084) #(Undefined) # fg_4253=▶6401_266_flatten.4253 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(439)/ pred_pos = preds[batch_index].flatten()/#▲pred_pos
- %4086 = Primitive::TupleGetItem{prim_type=1}(%4085, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4254
- %4087 = FuncGraph::fg_4255(%4086) #(Undefined) # fg_4255=▶Sigmoid.4255 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(443)/ pred_pos = P.Sigmoid()(pred_pos)/#▲pred_pos
- %4088 = Primitive::TupleGetItem{prim_type=1}(%4087, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4256
- %4089 = FuncGraph::fg_4257(%3090) #(Undefined) # fg_4257=▶6434_299__tensor_getitem_by_number.4257 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(440)/ target_pos = targets[batch_index].flatten()/#▲[CNode]4258
- %4090 = Primitive::TupleGetItem{prim_type=1}(%4089, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4259
- %4091 = FuncGraph::fg_4253(%4090) #(Undefined) # fg_4253=▶6401_266_flatten.4253 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(440)/ target_pos = targets[batch_index].flatten()/#▲target_pos
- %4092 = Primitive::TupleGetItem{prim_type=1}(%4091, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4260
- %4093 = FuncGraph::fg_4261(%4088, %4092, Tensor(43)[37606]) #(Undefined, Undefined, Undefined) # fg_4261=▶BinaryCrossEntropy.4261 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(447)/ bce_result = P.BinaryCrossEntropy(reduction='none')(pred_pos, target_pos, weight)/#▲bce_result
- %4094 = Primitive::TupleGetItem{prim_type=1}(%4093, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4262
- %4095 = FuncGraph::fg_4263(%4094) #(Undefined) # fg_4263=▶6425_290_reshape.4263 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(449)/ bce_result = ops.dot(bce_result.reshape(1, -1), mask[batch_index])/#▲[CNode]4264
- %4096 = Primitive::TupleGetItem{prim_type=1}(%4095, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4265
- %4097 = FuncGraph::fg_4266(%4036) #(Undefined) # fg_4266=▶6426_291__tensor_getitem_by_number.4266 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(449)/ bce_result = ops.dot(bce_result.reshape(1, -1), mask[batch_index])/#▲[CNode]4267
- %4098 = Primitive::TupleGetItem{prim_type=1}(%4097, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4268
- %4099 = FuncGraph::fg_4269(%4096, %4098) #(Undefined, Undefined) # fg_4269=▶6422_287_dot.4269 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(449)/ bce_result = ops.dot(bce_result.reshape(1, -1), mask[batch_index])/#▲bce_result
- %4100 = Primitive::TupleGetItem{prim_type=1}(%4099, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4270
- %4101 = FuncGraph::fg_4271(%4100, (I64(1))) #(Undefined, Undefined) # fg_4271=▶Reshape.4271 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(454)/ bce_result = P.Reshape()(bce_result, (1,))/#▲bce_result
- %4102 = Primitive::TupleGetItem{prim_type=1}(%4101, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4272
- %4103 = MakeTupleGradient::make_tuple_gradient(%4042, %4062, %4082, %4102) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4273
- %4104 = Primitive::TupleGetItem{prim_type=1}(%4103, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4274
- %4105 = FuncGraph::fg_4275(%4104) #(Undefined) # fg_4275=▶Concat.4275 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(458)/ return P.Concat(axis=0)(loss) / num_pos/#▲[CNode]4276
- %4106 = Primitive::TupleGetItem{prim_type=1}(%4105, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4277
- %4107 = FuncGraph::fg_4278(%4036, (I64(1), I64(2))) #(Undefined, Undefined) # fg_4278=▶ReduceSum.4278 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(412)/ num_pos = ops.ReduceSum()(mask, (1, 2))/#▲num_pos
- %4108 = Primitive::TupleGetItem{prim_type=1}(%4107, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4279
- %4109 = FuncGraph::fg_4280(%4108, Tensor(43)[]) #(Undefined, Undefined) # fg_4280=▶Equal.4280 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]3189
- %4110 = Primitive::TupleGetItem{prim_type=1}(%4109, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4281
- %4111 = FuncGraph::fg_4282(%4110, Tensor(43)[4], %4108) #(Undefined, Undefined, Undefined) # fg_4282=▶Select.4282 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(727)/ res = F.select(condition, x, y)/#▲res
- %4112 = Primitive::TupleGetItem{prim_type=1}(%4111, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4283
- %4113 = FuncGraph::fg_4284(%4106, %4112) #(Undefined, Undefined) # fg_4284=▶RealDiv.4284 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4114 = Primitive::TupleGetItem{prim_type=1}(%4113, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4285
- %4115 = FuncGraph::fg_4286(%4114, ()) #(Undefined, Undefined) # fg_4286=▶ReduceMean.4286 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(628)/ cnt_loss = mean(compute_cnt_loss(cnt_logits, cnt_targets, mask_pos))/#▲cnt_loss
- %4116 = Primitive::TupleGetItem{prim_type=1}(%4115, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4287
- %4117 = FuncGraph::fg_4288(%4116, (I64(1))) #(Undefined, Undefined) # fg_4288=▶Reshape.4288 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(631)/ cnt_loss = ops.Reshape()(cnt_loss, (1,))/#▲cnt_loss
- %4118 = Primitive::TupleGetItem{prim_type=1}(%4117, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4289
- %4119 = FuncGraph::fg_4290(%3110, %4118) #(Undefined, Undefined) # fg_4290=▶Add.4290 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4120 = Primitive::TupleGetItem{prim_type=1}(%4119, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4291
- %4121 = FuncGraph::fg_4292(%3254, %2404) #(Undefined, Undefined) # fg_4292=▶Conv2D.4292 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %4122 = Primitive::TupleGetItem{prim_type=1}(%4121, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4293
- %4123 = FuncGraph::fg_4294(%4122, %2406) #(Undefined, Undefined) # fg_4294=▶BiasAdd.4294 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %4124 = Primitive::TupleGetItem{prim_type=1}(%4123, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4295
- %4125 = FuncGraph::fg_4296(%4124, %2398) #(Undefined, Undefined) # fg_4296=▶Mul.4296 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4126 = Primitive::TupleGetItem{prim_type=1}(%4125, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4297
- %4127 = FuncGraph::fg_4298(%4126) #(Undefined) # fg_4298=▶Exp.4298 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/0-ScaleExp
- # In file /home/zsl_2/model/head.py(19)/ return ops.Exp()(x * self.scale)//#▲[CNode]4299
- %4128 = Primitive::TupleGetItem{prim_type=1}(%4127, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/0-ScaleExp
- # #[CNode]4300
- %4129 = FuncGraph::fg_4301(%4128, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_4301=▶Transpose.4301 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(487)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %4130 = Primitive::TupleGetItem{prim_type=1}(%4129, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4302
- %4131 = FuncGraph::fg_4303(%4130, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_4303=▶Reshape.4303 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(488)/ pred = ops.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %4132 = Primitive::TupleGetItem{prim_type=1}(%4131, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4304
- %4133 = FuncGraph::fg_4305(%para207, UMonad[U]) #(Ref[Tensor(F32)][4, 256, 3, 3], Undefined) # fg_4305=▶Load.4305 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]4306
- %4134 = Primitive::TupleGetItem{prim_type=1}(%4133, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4307
- %4135 = FuncGraph::fg_4308(%3438, %4134) #(Undefined, Undefined) # fg_4308=▶Conv2D.4308 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %4136 = Primitive::TupleGetItem{prim_type=1}(%4135, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4309
- %4137 = FuncGraph::fg_4310(%para208, UMonad[U]) #(Ref[Tensor(F32)][4], Undefined) # fg_4310=▶Load.4310 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #▲[CNode]4311
- %4138 = Primitive::TupleGetItem{prim_type=1}(%4137, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4312
- %4139 = FuncGraph::fg_4313(%4136, %4138) #(Undefined, Undefined) # fg_4313=▶BiasAdd.4313 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %4140 = Primitive::TupleGetItem{prim_type=1}(%4139, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4314
- %4141 = FuncGraph::fg_4315(%4140, %2456) #(Undefined, Undefined) # fg_4315=▶Mul.4315 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4142 = Primitive::TupleGetItem{prim_type=1}(%4141, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4316
- %4143 = FuncGraph::fg_4317(%4142) #(Undefined) # fg_4317=▶Exp.4317 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/1-ScaleExp
- # In file /home/zsl_2/model/head.py(19)/ return ops.Exp()(x * self.scale)//#▲[CNode]4318
- %4144 = Primitive::TupleGetItem{prim_type=1}(%4143, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/1-ScaleExp
- # #[CNode]4319
- %4145 = FuncGraph::fg_4320(%4144, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_4320=▶Transpose.4320 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(487)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %4146 = Primitive::TupleGetItem{prim_type=1}(%4145, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4321
- %4147 = FuncGraph::fg_4322(%4146, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_4322=▶Reshape.4322 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(488)/ pred = ops.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %4148 = Primitive::TupleGetItem{prim_type=1}(%4147, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4323
- %4149 = FuncGraph::fg_4324(%para207, UMonad[U]) #(Ref[Tensor(F32)][4, 256, 3, 3], Undefined) # fg_4324=▶Load.4324 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]4325
- %4150 = Primitive::TupleGetItem{prim_type=1}(%4149, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4326
- %4151 = FuncGraph::fg_4327(%3626, %4150) #(Undefined, Undefined) # fg_4327=▶Conv2D.4327 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %4152 = Primitive::TupleGetItem{prim_type=1}(%4151, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4328
- %4153 = FuncGraph::fg_4329(%para208, UMonad[U]) #(Ref[Tensor(F32)][4], Undefined) # fg_4329=▶Load.4329 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #▲[CNode]4330
- %4154 = Primitive::TupleGetItem{prim_type=1}(%4153, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4331
- %4155 = FuncGraph::fg_4332(%4152, %4154) #(Undefined, Undefined) # fg_4332=▶BiasAdd.4332 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %4156 = Primitive::TupleGetItem{prim_type=1}(%4155, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4333
- %4157 = FuncGraph::fg_4334(%4156, %2396) #(Undefined, Undefined) # fg_4334=▶Mul.4334 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4158 = Primitive::TupleGetItem{prim_type=1}(%4157, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4335
- %4159 = FuncGraph::fg_4336(%4158) #(Undefined) # fg_4336=▶Exp.4336 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/2-ScaleExp
- # In file /home/zsl_2/model/head.py(19)/ return ops.Exp()(x * self.scale)//#▲[CNode]4337
- %4160 = Primitive::TupleGetItem{prim_type=1}(%4159, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/2-ScaleExp
- # #[CNode]4338
- %4161 = FuncGraph::fg_4339(%4160, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_4339=▶Transpose.4339 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(487)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %4162 = Primitive::TupleGetItem{prim_type=1}(%4161, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4340
- %4163 = FuncGraph::fg_4341(%4162, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_4341=▶Reshape.4341 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(488)/ pred = ops.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %4164 = Primitive::TupleGetItem{prim_type=1}(%4163, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4342
- %4165 = FuncGraph::fg_4343(%para207, UMonad[U]) #(Ref[Tensor(F32)][4, 256, 3, 3], Undefined) # fg_4343=▶Load.4343 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]4344
- %4166 = Primitive::TupleGetItem{prim_type=1}(%4165, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4345
- %4167 = FuncGraph::fg_4346(%3814, %4166) #(Undefined, Undefined) # fg_4346=▶Conv2D.4346 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %4168 = Primitive::TupleGetItem{prim_type=1}(%4167, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4347
- %4169 = FuncGraph::fg_4348(%para208, UMonad[U]) #(Ref[Tensor(F32)][4], Undefined) # fg_4348=▶Load.4348 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #▲[CNode]4349
- %4170 = Primitive::TupleGetItem{prim_type=1}(%4169, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4350
- %4171 = FuncGraph::fg_4351(%4168, %4170) #(Undefined, Undefined) # fg_4351=▶BiasAdd.4351 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %4172 = Primitive::TupleGetItem{prim_type=1}(%4171, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4352
- %4173 = FuncGraph::fg_4353(%4172, %2394) #(Undefined, Undefined) # fg_4353=▶Mul.4353 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4174 = Primitive::TupleGetItem{prim_type=1}(%4173, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4354
- %4175 = FuncGraph::fg_4355(%4174) #(Undefined) # fg_4355=▶Exp.4355 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/3-ScaleExp
- # In file /home/zsl_2/model/head.py(19)/ return ops.Exp()(x * self.scale)//#▲[CNode]4356
- %4176 = Primitive::TupleGetItem{prim_type=1}(%4175, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/3-ScaleExp
- # #[CNode]4357
- %4177 = FuncGraph::fg_4358(%4176, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_4358=▶Transpose.4358 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(487)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %4178 = Primitive::TupleGetItem{prim_type=1}(%4177, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4359
- %4179 = FuncGraph::fg_4360(%4178, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_4360=▶Reshape.4360 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(488)/ pred = ops.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %4180 = Primitive::TupleGetItem{prim_type=1}(%4179, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4361
- %4181 = FuncGraph::fg_4362(%para207, UMonad[U]) #(Ref[Tensor(F32)][4, 256, 3, 3], Undefined) # fg_4362=▶Load.4362 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #▲[CNode]4363
- %4182 = Primitive::TupleGetItem{prim_type=1}(%4181, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4364
- %4183 = FuncGraph::fg_4365(%4002, %4182) #(Undefined, Undefined) # fg_4365=▶Conv2D.4365 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(261)/ output = self.conv2d(x, self.weight)/#▲output
- %4184 = Primitive::TupleGetItem{prim_type=1}(%4183, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4366
- %4185 = FuncGraph::fg_4367(%para208, UMonad[U]) #(Ref[Tensor(F32)][4], Undefined) # fg_4367=▶Load.4367 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #▲[CNode]4368
- %4186 = Primitive::TupleGetItem{prim_type=1}(%4185, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4369
- %4187 = FuncGraph::fg_4370(%4184, %4186) #(Undefined, Undefined) # fg_4370=▶BiasAdd.4370 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/nn/layer/conv.py(263)/ output = self.bias_add(output, self.bias)/#▲output
- %4188 = Primitive::TupleGetItem{prim_type=1}(%4187, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_pred-Conv2d
- # #[CNode]4371
- %4189 = FuncGraph::fg_4372(%4188, %2458) #(Undefined, Undefined) # fg_4372=▶Mul.4372 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4190 = Primitive::TupleGetItem{prim_type=1}(%4189, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4373
- %4191 = FuncGraph::fg_4374(%4190) #(Undefined) # fg_4374=▶Exp.4374 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/4-ScaleExp
- # In file /home/zsl_2/model/head.py(19)/ return ops.Exp()(x * self.scale)//#▲[CNode]4375
- %4192 = Primitive::TupleGetItem{prim_type=1}(%4191, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/scale_exp-CellList/4-ScaleExp
- # #[CNode]4376
- %4193 = FuncGraph::fg_4377(%4192, (I64(0), I64(2), I64(3), I64(1))) #(Undefined, Undefined) # fg_4377=▶Transpose.4377 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(487)/ pred = ops.Transpose()(pred, (0, 2, 3, 1))/#▲pred
- %4194 = Primitive::TupleGetItem{prim_type=1}(%4193, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4378
- %4195 = FuncGraph::fg_4379(%4194, (I64(4), I64(-1), I64(4))) #(Undefined, Undefined) # fg_4379=▶Reshape.4379 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(488)/ pred = ops.Reshape()(pred, (batch_size, -1, c))/#▲pred
- %4196 = Primitive::TupleGetItem{prim_type=1}(%4195, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4380
- %4197 = MakeTupleGradient::make_tuple_gradient(%4132, %4148, %4164, %4180, %4196) #(Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4381
- %4198 = Primitive::TupleGetItem{prim_type=1}(%4197, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4382
- %4199 = FuncGraph::fg_4383(%4198) #(Undefined) # fg_4383=▶Concat.4383 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(490)/ preds = ops.Concat(axis=1)(preds_reshape)/#▲preds
- %4200 = Primitive::TupleGetItem{prim_type=1}(%4199, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4384
- %4201 = FuncGraph::fg_4385(%4200, (I64(0), I64(0), I64(0)), (I64(1), I64(37606), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4385=▶StridedSlice.4385 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4202 = Primitive::TupleGetItem{prim_type=1}(%4201, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4386
- %4203 = FuncGraph::fg_4387(%4202, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4204 = Primitive::TupleGetItem{prim_type=1}(%4203, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4388
- %4205 = MakeTupleGradient::make_tuple_gradient(%194, %194, %194, %194) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4389
- %4206 = Primitive::TupleGetItem{prim_type=1}(%4205, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4390
- %4207 = FuncGraph::fg_4391(%4206) #(Undefined) # fg_4391=▶Stack.4391 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(251)/ mask_pos_2 = stack(tempmask)/#▲mask_pos_2
- %4208 = Primitive::TupleGetItem{prim_type=1}(%4207, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4392
- %4209 = FuncGraph::fg_4393(%4208) #(Undefined) # fg_4393=▶Squeeze.4393 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(254)/ mask_pos_2 = squeeze(mask_pos_2)/#▲mask_pos_2
- %4210 = Primitive::TupleGetItem{prim_type=1}(%4209, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4394
- %4211 = FuncGraph::fg_4395(%4210) #(Undefined) # fg_4395=▶LogicalNot.4395 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲[CNode]4396
- %4212 = Primitive::TupleGetItem{prim_type=1}(%4211, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4397
- %4213 = FuncGraph::fg_4398(%2834) #(Undefined) # fg_4398=▶OnesLike.4398 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %4214 = Primitive::TupleGetItem{prim_type=1}(%4213, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4399
- %4215 = FuncGraph::fg_4400(%4214, Tensor(43)[]) #(Undefined, Undefined) # fg_4400=▶Mul.4400 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %4216 = Primitive::TupleGetItem{prim_type=1}(%4215, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4401
- %4217 = FuncGraph::fg_4402(%4212, %4216, %2834) #(Undefined, Undefined, Undefined) # fg_4402=▶Select.4402 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %4218 = Primitive::TupleGetItem{prim_type=1}(%4217, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4403
- %4219 = MakeTupleGradient::make_tuple_gradient(%442, %442, %442, %442) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4404
- %4220 = Primitive::TupleGetItem{prim_type=1}(%4219, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4405
- %4221 = FuncGraph::fg_4406(%4220) #(Undefined) # fg_4406=▶Stack.4406 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(251)/ mask_pos_2 = stack(tempmask)/#▲mask_pos_2
- %4222 = Primitive::TupleGetItem{prim_type=1}(%4221, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4407
- %4223 = FuncGraph::fg_4408(%4222) #(Undefined) # fg_4408=▶Squeeze.4408 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(254)/ mask_pos_2 = squeeze(mask_pos_2)/#▲mask_pos_2
- %4224 = Primitive::TupleGetItem{prim_type=1}(%4223, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4409
- %4225 = FuncGraph::fg_4410(%4224) #(Undefined) # fg_4410=▶LogicalNot.4410 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲[CNode]4396
- %4226 = Primitive::TupleGetItem{prim_type=1}(%4225, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4411
- %4227 = FuncGraph::fg_4412(%2886) #(Undefined) # fg_4412=▶OnesLike.4412 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %4228 = Primitive::TupleGetItem{prim_type=1}(%4227, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4413
- %4229 = FuncGraph::fg_4414(%4228, Tensor(43)[]) #(Undefined, Undefined) # fg_4414=▶Mul.4414 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %4230 = Primitive::TupleGetItem{prim_type=1}(%4229, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4415
- %4231 = FuncGraph::fg_4416(%4226, %4230, %2886) #(Undefined, Undefined, Undefined) # fg_4416=▶Select.4416 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %4232 = Primitive::TupleGetItem{prim_type=1}(%4231, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4417
- %4233 = MakeTupleGradient::make_tuple_gradient(%690, %690, %690, %690) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4418
- %4234 = Primitive::TupleGetItem{prim_type=1}(%4233, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4419
- %4235 = FuncGraph::fg_4420(%4234) #(Undefined) # fg_4420=▶Stack.4420 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(251)/ mask_pos_2 = stack(tempmask)/#▲mask_pos_2
- %4236 = Primitive::TupleGetItem{prim_type=1}(%4235, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4421
- %4237 = FuncGraph::fg_4422(%4236) #(Undefined) # fg_4422=▶Squeeze.4422 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(254)/ mask_pos_2 = squeeze(mask_pos_2)/#▲mask_pos_2
- %4238 = Primitive::TupleGetItem{prim_type=1}(%4237, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4423
- %4239 = FuncGraph::fg_4424(%4238) #(Undefined) # fg_4424=▶LogicalNot.4424 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲[CNode]4396
- %4240 = Primitive::TupleGetItem{prim_type=1}(%4239, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4425
- %4241 = FuncGraph::fg_4426(%2938) #(Undefined) # fg_4426=▶OnesLike.4426 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %4242 = Primitive::TupleGetItem{prim_type=1}(%4241, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4427
- %4243 = FuncGraph::fg_4428(%4242, Tensor(43)[]) #(Undefined, Undefined) # fg_4428=▶Mul.4428 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %4244 = Primitive::TupleGetItem{prim_type=1}(%4243, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4429
- %4245 = FuncGraph::fg_4430(%4240, %4244, %2938) #(Undefined, Undefined, Undefined) # fg_4430=▶Select.4430 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %4246 = Primitive::TupleGetItem{prim_type=1}(%4245, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4431
- %4247 = MakeTupleGradient::make_tuple_gradient(%938, %938, %938, %938) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4432
- %4248 = Primitive::TupleGetItem{prim_type=1}(%4247, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4433
- %4249 = FuncGraph::fg_4434(%4248) #(Undefined) # fg_4434=▶Stack.4434 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(251)/ mask_pos_2 = stack(tempmask)/#▲mask_pos_2
- %4250 = Primitive::TupleGetItem{prim_type=1}(%4249, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4435
- %4251 = FuncGraph::fg_4436(%4250) #(Undefined) # fg_4436=▶Squeeze.4436 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(254)/ mask_pos_2 = squeeze(mask_pos_2)/#▲mask_pos_2
- %4252 = Primitive::TupleGetItem{prim_type=1}(%4251, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4437
- %4253 = FuncGraph::fg_4438(%4252) #(Undefined) # fg_4438=▶LogicalNot.4438 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲[CNode]4396
- %4254 = Primitive::TupleGetItem{prim_type=1}(%4253, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4439
- %4255 = FuncGraph::fg_4440(%2990) #(Undefined) # fg_4440=▶OnesLike.4440 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %4256 = Primitive::TupleGetItem{prim_type=1}(%4255, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4441
- %4257 = FuncGraph::fg_4442(%4256, Tensor(43)[]) #(Undefined, Undefined) # fg_4442=▶Mul.4442 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %4258 = Primitive::TupleGetItem{prim_type=1}(%4257, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4443
- %4259 = FuncGraph::fg_4444(%4254, %4258, %2990) #(Undefined, Undefined, Undefined) # fg_4444=▶Select.4444 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %4260 = Primitive::TupleGetItem{prim_type=1}(%4259, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4445
- %4261 = MakeTupleGradient::make_tuple_gradient(%1186, %1186, %1186, %1186) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4446
- %4262 = Primitive::TupleGetItem{prim_type=1}(%4261, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4447
- %4263 = FuncGraph::fg_4448(%4262) #(Undefined) # fg_4448=▶Stack.4448 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(251)/ mask_pos_2 = stack(tempmask)/#▲mask_pos_2
- %4264 = Primitive::TupleGetItem{prim_type=1}(%4263, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4449
- %4265 = FuncGraph::fg_4450(%4264) #(Undefined) # fg_4450=▶Squeeze.4450 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(254)/ mask_pos_2 = squeeze(mask_pos_2)/#▲mask_pos_2
- %4266 = Primitive::TupleGetItem{prim_type=1}(%4265, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4451
- %4267 = FuncGraph::fg_4452(%4266) #(Undefined) # fg_4452=▶LogicalNot.4452 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(256)/ reg_targets[~mask_pos_2] = -1/#▲[CNode]4396
- %4268 = Primitive::TupleGetItem{prim_type=1}(%4267, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4453
- %4269 = FuncGraph::fg_4454(%3042) #(Undefined) # fg_4454=▶OnesLike.4454 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(625)/ one_data = F.ones_like(data)/#▲one_data
- %4270 = Primitive::TupleGetItem{prim_type=1}(%4269, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4455
- %4271 = FuncGraph::fg_4456(%4270, Tensor(43)[]) #(Undefined, Undefined) # fg_4456=▶Mul.4456 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(626)/ u = F.tensor_mul(one_data, u_cast)/#▲u
- %4272 = Primitive::TupleGetItem{prim_type=1}(%4271, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4457
- %4273 = FuncGraph::fg_4458(%4268, %4272, %3042) #(Undefined, Undefined, Undefined) # fg_4458=▶Select.4458 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(627)/ result = F.select(index, u, data)/#▲result
- %4274 = Primitive::TupleGetItem{prim_type=1}(%4273, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4459
- %4275 = MakeTupleGradient::make_tuple_gradient(%4218, %4232, %4246, %4260, %4274) #(Undefined, Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4460
- %4276 = Primitive::TupleGetItem{prim_type=1}(%4275, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4461
- %4277 = FuncGraph::fg_4462(%4276) #(Undefined) # fg_4462=▶Concat.4462 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /home/zsl_2/model/loss.py(83)/ return ops.Concat(axis=1)(cls_targets_all_level), ops.Concat(axis=1)(cnt_targets_all_level), ops.Concat(axis=1)(/#▲[CNode]4463
- %4278 = Primitive::TupleGetItem{prim_type=1}(%4277, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4464
- %4279 = FuncGraph::fg_4385(%4278, (I64(0), I64(0), I64(0)), (I64(1), I64(37606), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4385=▶StridedSlice.4385 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4280 = Primitive::TupleGetItem{prim_type=1}(%4279, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4465
- %4281 = FuncGraph::fg_4387(%4280, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4282 = Primitive::TupleGetItem{prim_type=1}(%4281, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4466
- %4283 = FuncGraph::fg_4467(%4204, %4282) #(Undefined, Undefined) # fg_4467=▶Minimum.4467 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(563)/ rb_min = minimum(preds[:, 2:], targets[:, 2:])/#▲rb_min
- %4284 = Primitive::TupleGetItem{prim_type=1}(%4283, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4468
- %4285 = FuncGraph::fg_4469(%4202, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4286 = Primitive::TupleGetItem{prim_type=1}(%4285, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4470
- %4287 = FuncGraph::fg_4469(%4280, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4288 = Primitive::TupleGetItem{prim_type=1}(%4287, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4471
- %4289 = FuncGraph::fg_4472(%4286, %4288) #(Undefined, Undefined) # fg_4472=▶Minimum.4472 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(562)/ lt_min = minimum(preds[:, :2], targets[:, :2])/#▲lt_min
- %4290 = Primitive::TupleGetItem{prim_type=1}(%4289, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4473
- %4291 = FuncGraph::fg_4474(%4284, %4290) #(Undefined, Undefined) # fg_4474=▶Add.4474 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4292 = Primitive::TupleGetItem{prim_type=1}(%4291, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4475
- %4293 = FuncGraph::fg_4476(%4292) #(Undefined) # fg_4476=▶Abs.4476 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(567)/ wh_min = ops.Abs()(rb_min + lt_min)/#▲wh_min
- %4294 = Primitive::TupleGetItem{prim_type=1}(%4293, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4477
- %4295 = FuncGraph::fg_4478(%4294, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4478=▶StridedSlice.4478 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4296 = Primitive::TupleGetItem{prim_type=1}(%4295, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4479
- %4297 = FuncGraph::fg_4480(%4294, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4480=▶StridedSlice.4480 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4298 = Primitive::TupleGetItem{prim_type=1}(%4297, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4481
- %4299 = FuncGraph::fg_4482(%4296, %4298) #(Undefined, Undefined) # fg_4482=▶Mul.4482 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4300 = Primitive::TupleGetItem{prim_type=1}(%4299, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4483
- %4301 = FuncGraph::fg_4484(%4202, (I64(0), I64(2)), (I64(37606), I64(3)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4484=▶StridedSlice.4484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4302 = Primitive::TupleGetItem{prim_type=1}(%4301, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4485
- %4303 = FuncGraph::fg_4486(%4202, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4486=▶StridedSlice.4486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4304 = Primitive::TupleGetItem{prim_type=1}(%4303, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4487
- %4305 = FuncGraph::fg_4488(%4302, %4304) #(Undefined, Undefined) # fg_4488=▶Add.4488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4306 = Primitive::TupleGetItem{prim_type=1}(%4305, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4489
- %4307 = FuncGraph::fg_4490(%4202, (I64(0), I64(3)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4490=▶StridedSlice.4490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4308 = Primitive::TupleGetItem{prim_type=1}(%4307, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4491
- %4309 = FuncGraph::fg_4492(%4202, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4492=▶StridedSlice.4492 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4310 = Primitive::TupleGetItem{prim_type=1}(%4309, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4493
- %4311 = FuncGraph::fg_4494(%4308, %4310) #(Undefined, Undefined) # fg_4494=▶Add.4494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4312 = Primitive::TupleGetItem{prim_type=1}(%4311, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4495
- %4313 = FuncGraph::fg_4496(%4306, %4312) #(Undefined, Undefined) # fg_4496=▶Mul.4496 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4314 = Primitive::TupleGetItem{prim_type=1}(%4313, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4497
- %4315 = FuncGraph::fg_4484(%4280, (I64(0), I64(2)), (I64(37606), I64(3)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4484=▶StridedSlice.4484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4316 = Primitive::TupleGetItem{prim_type=1}(%4315, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4498
- %4317 = FuncGraph::fg_4486(%4280, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4486=▶StridedSlice.4486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4318 = Primitive::TupleGetItem{prim_type=1}(%4317, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4499
- %4319 = FuncGraph::fg_4500(%4316, %4318) #(Undefined, Undefined) # fg_4500=▶Add.4500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4320 = Primitive::TupleGetItem{prim_type=1}(%4319, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4501
- %4321 = FuncGraph::fg_4490(%4280, (I64(0), I64(3)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4490=▶StridedSlice.4490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4322 = Primitive::TupleGetItem{prim_type=1}(%4321, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4502
- %4323 = FuncGraph::fg_4492(%4280, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4492=▶StridedSlice.4492 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4324 = Primitive::TupleGetItem{prim_type=1}(%4323, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4503
- %4325 = FuncGraph::fg_4504(%4322, %4324) #(Undefined, Undefined) # fg_4504=▶Add.4504 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4326 = Primitive::TupleGetItem{prim_type=1}(%4325, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4505
- %4327 = FuncGraph::fg_4506(%4320, %4326) #(Undefined, Undefined) # fg_4506=▶Mul.4506 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4328 = Primitive::TupleGetItem{prim_type=1}(%4327, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4507
- %4329 = FuncGraph::fg_4508(%4314, %4328) #(Undefined, Undefined) # fg_4508=▶Add.4508 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4330 = Primitive::TupleGetItem{prim_type=1}(%4329, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4509
- %4331 = FuncGraph::fg_4510(%4330, %4300) #(Undefined, Undefined) # fg_4510=▶Sub.4510 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4332 = Primitive::TupleGetItem{prim_type=1}(%4331, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4511
- %4333 = FuncGraph::fg_4512(%4300, %4332) #(Undefined, Undefined) # fg_4512=▶RealDiv.4512 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4334 = Primitive::TupleGetItem{prim_type=1}(%4333, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4513
- %4335 = FuncGraph::fg_4387(%4202, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4336 = Primitive::TupleGetItem{prim_type=1}(%4335, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4514
- %4337 = FuncGraph::fg_4387(%4280, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4338 = Primitive::TupleGetItem{prim_type=1}(%4337, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4515
- %4339 = FuncGraph::fg_4516(%4336, %4338) #(Undefined, Undefined) # fg_4516=▶Maximum.4516 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(575)/ rb_max = maximum(preds[:, 2:], targets[:, 2:])/#▲rb_max
- %4340 = Primitive::TupleGetItem{prim_type=1}(%4339, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4517
- %4341 = FuncGraph::fg_4469(%4202, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4342 = Primitive::TupleGetItem{prim_type=1}(%4341, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4518
- %4343 = FuncGraph::fg_4469(%4280, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4344 = Primitive::TupleGetItem{prim_type=1}(%4343, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4519
- %4345 = FuncGraph::fg_4520(%4342, %4344) #(Undefined, Undefined) # fg_4520=▶Maximum.4520 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(574)/ lt_max = maximum(preds[:, :2], targets[:, :2])/#▲lt_max
- %4346 = Primitive::TupleGetItem{prim_type=1}(%4345, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4521
- %4347 = FuncGraph::fg_4522(%4340, %4346) #(Undefined, Undefined) # fg_4522=▶Add.4522 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4348 = Primitive::TupleGetItem{prim_type=1}(%4347, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4523
- %4349 = FuncGraph::fg_4524(%4348) #(Undefined) # fg_4524=▶Abs.4524 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(577)/ wh_max = ops.Abs()(rb_max + lt_max)/#▲wh_max
- %4350 = Primitive::TupleGetItem{prim_type=1}(%4349, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4525
- %4351 = FuncGraph::fg_4478(%4350, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4478=▶StridedSlice.4478 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4352 = Primitive::TupleGetItem{prim_type=1}(%4351, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4526
- %4353 = FuncGraph::fg_4480(%4350, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4480=▶StridedSlice.4480 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4354 = Primitive::TupleGetItem{prim_type=1}(%4353, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4527
- %4355 = FuncGraph::fg_4528(%4352, %4354) #(Undefined, Undefined) # fg_4528=▶Mul.4528 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4356 = Primitive::TupleGetItem{prim_type=1}(%4355, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4529
- %4357 = FuncGraph::fg_4530(%4356, %4332) #(Undefined, Undefined) # fg_4530=▶Sub.4530 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4358 = Primitive::TupleGetItem{prim_type=1}(%4357, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4531
- %4359 = FuncGraph::fg_4532(%4358, Tensor(43)[]) #(Undefined, Undefined) # fg_4532=▶Add.4532 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %4360 = Primitive::TupleGetItem{prim_type=1}(%4359, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4533
- %4361 = FuncGraph::fg_4534(%4356, Tensor(43)[]) #(Undefined, Undefined) # fg_4534=▶Add.4534 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %4362 = Primitive::TupleGetItem{prim_type=1}(%4361, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4535
- %4363 = FuncGraph::fg_4536(%4362) #(Undefined) # fg_4536=▶Abs.4536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(581)/ giou = iou - (G_area - union + 1e-8) / ops.Abs()(G_area + 1e-8) #back3/#▲[CNode]4537
- %4364 = Primitive::TupleGetItem{prim_type=1}(%4363, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4538
- %4365 = FuncGraph::fg_4539(%4360, %4364) #(Undefined, Undefined) # fg_4539=▶RealDiv.4539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4366 = Primitive::TupleGetItem{prim_type=1}(%4365, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4540
- %4367 = FuncGraph::fg_4541(%4334, %4366) #(Undefined, Undefined) # fg_4541=▶Sub.4541 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4368 = Primitive::TupleGetItem{prim_type=1}(%4367, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4542
- %4369 = FuncGraph::fg_4543(Tensor(43)[], %4368) #(Undefined, Undefined) # fg_4543=▶Sub.4543 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %4370 = Primitive::TupleGetItem{prim_type=1}(%4369, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4544
- %4371 = FuncGraph::fg_4210(%4370, (I64(1), I64(-1))) #(Undefined, Undefined) # fg_4210=▶Reshape.4210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4372 = Primitive::TupleGetItem{prim_type=1}(%4371, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4545
- %4373 = FuncGraph::fg_4546(%3094, I64(-1)) #(Undefined, Undefined) # fg_4546=▶ExpandDims.4546 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(476)/ mask = ops.ExpandDims()(mask, -1)/#▲mask
- %4374 = Primitive::TupleGetItem{prim_type=1}(%4373, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4547
- %4375 = FuncGraph::fg_4548(%4374, F32) #(Undefined, Undefined) # fg_4548=▶Cast.4548 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(493)/ for batch_index in range(batch_size):/#▲Φmask
- %4376 = Primitive::TupleGetItem{prim_type=1}(%4375, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4549
- %4377 = FuncGraph::fg_4550(%4376) #(Undefined) # fg_4550=▶7003_869__tensor_getitem_by_number.4550 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(494)/ mask_index = mask[batch_index]/#▲mask_index
- %4378 = Primitive::TupleGetItem{prim_type=1}(%4377, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4551
- %4379 = FuncGraph::fg_4552(%4378, F32) #(Undefined, Undefined) # fg_4552=▶Cast.4552 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲Φmask_index
- %4380 = Primitive::TupleGetItem{prim_type=1}(%4379, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4553
- %4381 = MakeTupleGradient::make_tuple_gradient(%4380) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4382 = Primitive::TupleGetItem{prim_type=1}(%4381, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4555
- %4383 = FuncGraph::fg_4556(%4382) #(Undefined) # fg_4556=▶7008_874__add_tuple.4556 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4384 = Primitive::TupleGetItem{prim_type=1}(%4383, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4557
- %4385 = MakeTupleGradient::make_tuple_gradient(%4380) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4386 = Primitive::TupleGetItem{prim_type=1}(%4385, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4558
- %4387 = FuncGraph::fg_4559(%4384, %4386) #(Undefined, Undefined) # fg_4559=▶7006_872__add_tuple.4559 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4388 = Primitive::TupleGetItem{prim_type=1}(%4387, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4560
- %4389 = MakeTupleGradient::make_tuple_gradient(%4380) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4390 = Primitive::TupleGetItem{prim_type=1}(%4389, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4561
- %4391 = FuncGraph::fg_4562(%4388, %4390) #(Undefined, Undefined) # fg_4562=▶7004_870__add_tuple.4562 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4392 = Primitive::TupleGetItem{prim_type=1}(%4391, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4563
- %4393 = MakeTupleGradient::make_tuple_gradient(%4380) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4394 = Primitive::TupleGetItem{prim_type=1}(%4393, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4564
- %4395 = FuncGraph::fg_4565(%4392, %4394) #(Undefined, Undefined) # fg_4565=▶7001_867__add_tuple.4565 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4396 = Primitive::TupleGetItem{prim_type=1}(%4395, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4566
- %4397 = FuncGraph::fg_4567(%4396) #(Undefined) # fg_4567=▶Stack.4567 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(503)/ mask_index = stack(tempmask)/#▲mask_index
- %4398 = Primitive::TupleGetItem{prim_type=1}(%4397, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4568
- %4399 = FuncGraph::fg_4569(%4398) #(Undefined) # fg_4569=▶Squeeze.4569 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(505)/ mask_index = squeeze(mask_index)/#▲mask_index
- %4400 = Primitive::TupleGetItem{prim_type=1}(%4399, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4570
- %4401 = FuncGraph::fg_4571(%4400, (I64(0), I64(0)), (I64(1), I64(37606)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4571=▶StridedSlice.4571 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4402 = Primitive::TupleGetItem{prim_type=1}(%4401, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4572
- %4403 = FuncGraph::fg_4573(%4402, (I64(-1), I64(1))) #(Undefined, Undefined) # fg_4573=▶Reshape.4573 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4404 = Primitive::TupleGetItem{prim_type=1}(%4403, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4574
- %4405 = FuncGraph::fg_4575(%4372, %4404) #(Undefined, Undefined) # fg_4575=▶MatMul.4575 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/math_ops.py(345)/ return matmul_op(x1, x2)/#▲[CNode]4218
- %4406 = Primitive::TupleGetItem{prim_type=1}(%4405, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4576
- %4407 = FuncGraph::fg_4577(%4406, (I64(1))) #(Undefined, Undefined) # fg_4577=▶Reshape.4577 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4408 = Primitive::TupleGetItem{prim_type=1}(%4407, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4578
- %4409 = FuncGraph::fg_4579(%4200, (I64(1), I64(0), I64(0)), (I64(2), I64(37606), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4579=▶StridedSlice.4579 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4410 = Primitive::TupleGetItem{prim_type=1}(%4409, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4580
- %4411 = FuncGraph::fg_4387(%4410, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4412 = Primitive::TupleGetItem{prim_type=1}(%4411, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4581
- %4413 = FuncGraph::fg_4579(%4278, (I64(1), I64(0), I64(0)), (I64(2), I64(37606), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4579=▶StridedSlice.4579 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4414 = Primitive::TupleGetItem{prim_type=1}(%4413, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4582
- %4415 = FuncGraph::fg_4387(%4414, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4416 = Primitive::TupleGetItem{prim_type=1}(%4415, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4583
- %4417 = FuncGraph::fg_4467(%4412, %4416) #(Undefined, Undefined) # fg_4467=▶Minimum.4467 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(563)/ rb_min = minimum(preds[:, 2:], targets[:, 2:])/#▲rb_min
- %4418 = Primitive::TupleGetItem{prim_type=1}(%4417, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4584
- %4419 = FuncGraph::fg_4469(%4410, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4420 = Primitive::TupleGetItem{prim_type=1}(%4419, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4585
- %4421 = FuncGraph::fg_4469(%4414, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4422 = Primitive::TupleGetItem{prim_type=1}(%4421, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4586
- %4423 = FuncGraph::fg_4472(%4420, %4422) #(Undefined, Undefined) # fg_4472=▶Minimum.4472 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(562)/ lt_min = minimum(preds[:, :2], targets[:, :2])/#▲lt_min
- %4424 = Primitive::TupleGetItem{prim_type=1}(%4423, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4587
- %4425 = FuncGraph::fg_4474(%4418, %4424) #(Undefined, Undefined) # fg_4474=▶Add.4474 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4426 = Primitive::TupleGetItem{prim_type=1}(%4425, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4588
- %4427 = FuncGraph::fg_4476(%4426) #(Undefined) # fg_4476=▶Abs.4476 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(567)/ wh_min = ops.Abs()(rb_min + lt_min)/#▲wh_min
- %4428 = Primitive::TupleGetItem{prim_type=1}(%4427, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4589
- %4429 = FuncGraph::fg_4478(%4428, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4478=▶StridedSlice.4478 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4430 = Primitive::TupleGetItem{prim_type=1}(%4429, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4590
- %4431 = FuncGraph::fg_4480(%4428, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4480=▶StridedSlice.4480 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4432 = Primitive::TupleGetItem{prim_type=1}(%4431, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4591
- %4433 = FuncGraph::fg_4482(%4430, %4432) #(Undefined, Undefined) # fg_4482=▶Mul.4482 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4434 = Primitive::TupleGetItem{prim_type=1}(%4433, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4592
- %4435 = FuncGraph::fg_4484(%4410, (I64(0), I64(2)), (I64(37606), I64(3)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4484=▶StridedSlice.4484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4436 = Primitive::TupleGetItem{prim_type=1}(%4435, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4593
- %4437 = FuncGraph::fg_4486(%4410, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4486=▶StridedSlice.4486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4438 = Primitive::TupleGetItem{prim_type=1}(%4437, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4594
- %4439 = FuncGraph::fg_4488(%4436, %4438) #(Undefined, Undefined) # fg_4488=▶Add.4488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4440 = Primitive::TupleGetItem{prim_type=1}(%4439, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4595
- %4441 = FuncGraph::fg_4490(%4410, (I64(0), I64(3)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4490=▶StridedSlice.4490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4442 = Primitive::TupleGetItem{prim_type=1}(%4441, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4596
- %4443 = FuncGraph::fg_4492(%4410, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4492=▶StridedSlice.4492 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4444 = Primitive::TupleGetItem{prim_type=1}(%4443, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4597
- %4445 = FuncGraph::fg_4494(%4442, %4444) #(Undefined, Undefined) # fg_4494=▶Add.4494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4446 = Primitive::TupleGetItem{prim_type=1}(%4445, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4598
- %4447 = FuncGraph::fg_4496(%4440, %4446) #(Undefined, Undefined) # fg_4496=▶Mul.4496 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4448 = Primitive::TupleGetItem{prim_type=1}(%4447, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4599
- %4449 = FuncGraph::fg_4484(%4414, (I64(0), I64(2)), (I64(37606), I64(3)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4484=▶StridedSlice.4484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4450 = Primitive::TupleGetItem{prim_type=1}(%4449, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4600
- %4451 = FuncGraph::fg_4486(%4414, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4486=▶StridedSlice.4486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4452 = Primitive::TupleGetItem{prim_type=1}(%4451, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4601
- %4453 = FuncGraph::fg_4500(%4450, %4452) #(Undefined, Undefined) # fg_4500=▶Add.4500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4454 = Primitive::TupleGetItem{prim_type=1}(%4453, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4602
- %4455 = FuncGraph::fg_4490(%4414, (I64(0), I64(3)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4490=▶StridedSlice.4490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4456 = Primitive::TupleGetItem{prim_type=1}(%4455, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4603
- %4457 = FuncGraph::fg_4492(%4414, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4492=▶StridedSlice.4492 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4458 = Primitive::TupleGetItem{prim_type=1}(%4457, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4604
- %4459 = FuncGraph::fg_4504(%4456, %4458) #(Undefined, Undefined) # fg_4504=▶Add.4504 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4460 = Primitive::TupleGetItem{prim_type=1}(%4459, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4605
- %4461 = FuncGraph::fg_4506(%4454, %4460) #(Undefined, Undefined) # fg_4506=▶Mul.4506 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4462 = Primitive::TupleGetItem{prim_type=1}(%4461, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4606
- %4463 = FuncGraph::fg_4508(%4448, %4462) #(Undefined, Undefined) # fg_4508=▶Add.4508 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4464 = Primitive::TupleGetItem{prim_type=1}(%4463, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4607
- %4465 = FuncGraph::fg_4510(%4464, %4434) #(Undefined, Undefined) # fg_4510=▶Sub.4510 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4466 = Primitive::TupleGetItem{prim_type=1}(%4465, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4608
- %4467 = FuncGraph::fg_4512(%4434, %4466) #(Undefined, Undefined) # fg_4512=▶RealDiv.4512 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4468 = Primitive::TupleGetItem{prim_type=1}(%4467, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4609
- %4469 = FuncGraph::fg_4387(%4410, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4470 = Primitive::TupleGetItem{prim_type=1}(%4469, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4610
- %4471 = FuncGraph::fg_4387(%4414, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4472 = Primitive::TupleGetItem{prim_type=1}(%4471, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4611
- %4473 = FuncGraph::fg_4516(%4470, %4472) #(Undefined, Undefined) # fg_4516=▶Maximum.4516 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(575)/ rb_max = maximum(preds[:, 2:], targets[:, 2:])/#▲rb_max
- %4474 = Primitive::TupleGetItem{prim_type=1}(%4473, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4612
- %4475 = FuncGraph::fg_4469(%4410, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4476 = Primitive::TupleGetItem{prim_type=1}(%4475, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4613
- %4477 = FuncGraph::fg_4469(%4414, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4478 = Primitive::TupleGetItem{prim_type=1}(%4477, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4614
- %4479 = FuncGraph::fg_4520(%4476, %4478) #(Undefined, Undefined) # fg_4520=▶Maximum.4520 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(574)/ lt_max = maximum(preds[:, :2], targets[:, :2])/#▲lt_max
- %4480 = Primitive::TupleGetItem{prim_type=1}(%4479, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4615
- %4481 = FuncGraph::fg_4522(%4474, %4480) #(Undefined, Undefined) # fg_4522=▶Add.4522 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4482 = Primitive::TupleGetItem{prim_type=1}(%4481, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4616
- %4483 = FuncGraph::fg_4524(%4482) #(Undefined) # fg_4524=▶Abs.4524 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(577)/ wh_max = ops.Abs()(rb_max + lt_max)/#▲wh_max
- %4484 = Primitive::TupleGetItem{prim_type=1}(%4483, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4617
- %4485 = FuncGraph::fg_4478(%4484, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4478=▶StridedSlice.4478 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4486 = Primitive::TupleGetItem{prim_type=1}(%4485, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4618
- %4487 = FuncGraph::fg_4480(%4484, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4480=▶StridedSlice.4480 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4488 = Primitive::TupleGetItem{prim_type=1}(%4487, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4619
- %4489 = FuncGraph::fg_4528(%4486, %4488) #(Undefined, Undefined) # fg_4528=▶Mul.4528 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4490 = Primitive::TupleGetItem{prim_type=1}(%4489, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4620
- %4491 = FuncGraph::fg_4530(%4490, %4466) #(Undefined, Undefined) # fg_4530=▶Sub.4530 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4492 = Primitive::TupleGetItem{prim_type=1}(%4491, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4621
- %4493 = FuncGraph::fg_4532(%4492, Tensor(43)[]) #(Undefined, Undefined) # fg_4532=▶Add.4532 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %4494 = Primitive::TupleGetItem{prim_type=1}(%4493, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4622
- %4495 = FuncGraph::fg_4534(%4490, Tensor(43)[]) #(Undefined, Undefined) # fg_4534=▶Add.4534 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %4496 = Primitive::TupleGetItem{prim_type=1}(%4495, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4623
- %4497 = FuncGraph::fg_4536(%4496) #(Undefined) # fg_4536=▶Abs.4536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(581)/ giou = iou - (G_area - union + 1e-8) / ops.Abs()(G_area + 1e-8) #back3/#▲[CNode]4537
- %4498 = Primitive::TupleGetItem{prim_type=1}(%4497, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4624
- %4499 = FuncGraph::fg_4539(%4494, %4498) #(Undefined, Undefined) # fg_4539=▶RealDiv.4539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4500 = Primitive::TupleGetItem{prim_type=1}(%4499, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4625
- %4501 = FuncGraph::fg_4541(%4468, %4500) #(Undefined, Undefined) # fg_4541=▶Sub.4541 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4502 = Primitive::TupleGetItem{prim_type=1}(%4501, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4626
- %4503 = FuncGraph::fg_4543(Tensor(43)[], %4502) #(Undefined, Undefined) # fg_4543=▶Sub.4543 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %4504 = Primitive::TupleGetItem{prim_type=1}(%4503, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4627
- %4505 = FuncGraph::fg_4210(%4504, (I64(1), I64(-1))) #(Undefined, Undefined) # fg_4210=▶Reshape.4210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4506 = Primitive::TupleGetItem{prim_type=1}(%4505, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4628
- %4507 = FuncGraph::fg_4222(%4376, (I64(1), I64(0), I64(0)), (I64(2), I64(37606), I64(1)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4222=▶StridedSlice.4222 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4508 = Primitive::TupleGetItem{prim_type=1}(%4507, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4629
- %4509 = MakeTupleGradient::make_tuple_gradient(%4508, %4508, %4508, %4508) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4630
- %4510 = Primitive::TupleGetItem{prim_type=1}(%4509, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4631
- %4511 = FuncGraph::fg_4632(%4510) #(Undefined) # fg_4632=▶Stack.4632 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(503)/ mask_index = stack(tempmask)/#▲mask_index
- %4512 = Primitive::TupleGetItem{prim_type=1}(%4511, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4633
- %4513 = FuncGraph::fg_4634(%4512) #(Undefined) # fg_4634=▶Squeeze.4634 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(505)/ mask_index = squeeze(mask_index)/#▲mask_index
- %4514 = Primitive::TupleGetItem{prim_type=1}(%4513, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4635
- %4515 = FuncGraph::fg_4571(%4514, (I64(0), I64(0)), (I64(1), I64(37606)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4571=▶StridedSlice.4571 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4516 = Primitive::TupleGetItem{prim_type=1}(%4515, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4636
- %4517 = FuncGraph::fg_4573(%4516, (I64(-1), I64(1))) #(Undefined, Undefined) # fg_4573=▶Reshape.4573 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4518 = Primitive::TupleGetItem{prim_type=1}(%4517, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4637
- %4519 = FuncGraph::fg_4575(%4506, %4518) #(Undefined, Undefined) # fg_4575=▶MatMul.4575 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/math_ops.py(345)/ return matmul_op(x1, x2)/#▲[CNode]4218
- %4520 = Primitive::TupleGetItem{prim_type=1}(%4519, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4638
- %4521 = FuncGraph::fg_4577(%4520, (I64(1))) #(Undefined, Undefined) # fg_4577=▶Reshape.4577 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4522 = Primitive::TupleGetItem{prim_type=1}(%4521, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4639
- %4523 = FuncGraph::fg_4640(%4200, (I64(2), I64(0), I64(0)), (I64(3), I64(37606), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4640=▶StridedSlice.4640 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4524 = Primitive::TupleGetItem{prim_type=1}(%4523, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4641
- %4525 = FuncGraph::fg_4387(%4524, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4526 = Primitive::TupleGetItem{prim_type=1}(%4525, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4642
- %4527 = FuncGraph::fg_4640(%4278, (I64(2), I64(0), I64(0)), (I64(3), I64(37606), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4640=▶StridedSlice.4640 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4528 = Primitive::TupleGetItem{prim_type=1}(%4527, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4643
- %4529 = FuncGraph::fg_4387(%4528, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4530 = Primitive::TupleGetItem{prim_type=1}(%4529, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4644
- %4531 = FuncGraph::fg_4467(%4526, %4530) #(Undefined, Undefined) # fg_4467=▶Minimum.4467 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(563)/ rb_min = minimum(preds[:, 2:], targets[:, 2:])/#▲rb_min
- %4532 = Primitive::TupleGetItem{prim_type=1}(%4531, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4645
- %4533 = FuncGraph::fg_4469(%4524, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4534 = Primitive::TupleGetItem{prim_type=1}(%4533, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4646
- %4535 = FuncGraph::fg_4469(%4528, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4536 = Primitive::TupleGetItem{prim_type=1}(%4535, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4647
- %4537 = FuncGraph::fg_4472(%4534, %4536) #(Undefined, Undefined) # fg_4472=▶Minimum.4472 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(562)/ lt_min = minimum(preds[:, :2], targets[:, :2])/#▲lt_min
- %4538 = Primitive::TupleGetItem{prim_type=1}(%4537, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4648
- %4539 = FuncGraph::fg_4474(%4532, %4538) #(Undefined, Undefined) # fg_4474=▶Add.4474 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4540 = Primitive::TupleGetItem{prim_type=1}(%4539, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4649
- %4541 = FuncGraph::fg_4476(%4540) #(Undefined) # fg_4476=▶Abs.4476 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(567)/ wh_min = ops.Abs()(rb_min + lt_min)/#▲wh_min
- %4542 = Primitive::TupleGetItem{prim_type=1}(%4541, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4650
- %4543 = FuncGraph::fg_4478(%4542, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4478=▶StridedSlice.4478 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4544 = Primitive::TupleGetItem{prim_type=1}(%4543, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4651
- %4545 = FuncGraph::fg_4480(%4542, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4480=▶StridedSlice.4480 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4546 = Primitive::TupleGetItem{prim_type=1}(%4545, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4652
- %4547 = FuncGraph::fg_4482(%4544, %4546) #(Undefined, Undefined) # fg_4482=▶Mul.4482 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4548 = Primitive::TupleGetItem{prim_type=1}(%4547, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4653
- %4549 = FuncGraph::fg_4484(%4524, (I64(0), I64(2)), (I64(37606), I64(3)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4484=▶StridedSlice.4484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4550 = Primitive::TupleGetItem{prim_type=1}(%4549, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4654
- %4551 = FuncGraph::fg_4486(%4524, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4486=▶StridedSlice.4486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4552 = Primitive::TupleGetItem{prim_type=1}(%4551, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4655
- %4553 = FuncGraph::fg_4488(%4550, %4552) #(Undefined, Undefined) # fg_4488=▶Add.4488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4554 = Primitive::TupleGetItem{prim_type=1}(%4553, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4656
- %4555 = FuncGraph::fg_4490(%4524, (I64(0), I64(3)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4490=▶StridedSlice.4490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4556 = Primitive::TupleGetItem{prim_type=1}(%4555, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4657
- %4557 = FuncGraph::fg_4492(%4524, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4492=▶StridedSlice.4492 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4558 = Primitive::TupleGetItem{prim_type=1}(%4557, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4658
- %4559 = FuncGraph::fg_4494(%4556, %4558) #(Undefined, Undefined) # fg_4494=▶Add.4494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4560 = Primitive::TupleGetItem{prim_type=1}(%4559, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4659
- %4561 = FuncGraph::fg_4496(%4554, %4560) #(Undefined, Undefined) # fg_4496=▶Mul.4496 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4562 = Primitive::TupleGetItem{prim_type=1}(%4561, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4660
- %4563 = FuncGraph::fg_4484(%4528, (I64(0), I64(2)), (I64(37606), I64(3)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4484=▶StridedSlice.4484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4564 = Primitive::TupleGetItem{prim_type=1}(%4563, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4661
- %4565 = FuncGraph::fg_4486(%4528, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4486=▶StridedSlice.4486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4566 = Primitive::TupleGetItem{prim_type=1}(%4565, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4662
- %4567 = FuncGraph::fg_4500(%4564, %4566) #(Undefined, Undefined) # fg_4500=▶Add.4500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4568 = Primitive::TupleGetItem{prim_type=1}(%4567, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4663
- %4569 = FuncGraph::fg_4490(%4528, (I64(0), I64(3)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4490=▶StridedSlice.4490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4570 = Primitive::TupleGetItem{prim_type=1}(%4569, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4664
- %4571 = FuncGraph::fg_4492(%4528, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4492=▶StridedSlice.4492 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4572 = Primitive::TupleGetItem{prim_type=1}(%4571, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4665
- %4573 = FuncGraph::fg_4504(%4570, %4572) #(Undefined, Undefined) # fg_4504=▶Add.4504 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4574 = Primitive::TupleGetItem{prim_type=1}(%4573, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4666
- %4575 = FuncGraph::fg_4506(%4568, %4574) #(Undefined, Undefined) # fg_4506=▶Mul.4506 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4576 = Primitive::TupleGetItem{prim_type=1}(%4575, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4667
- %4577 = FuncGraph::fg_4508(%4562, %4576) #(Undefined, Undefined) # fg_4508=▶Add.4508 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4578 = Primitive::TupleGetItem{prim_type=1}(%4577, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4668
- %4579 = FuncGraph::fg_4510(%4578, %4548) #(Undefined, Undefined) # fg_4510=▶Sub.4510 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4580 = Primitive::TupleGetItem{prim_type=1}(%4579, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4669
- %4581 = FuncGraph::fg_4512(%4548, %4580) #(Undefined, Undefined) # fg_4512=▶RealDiv.4512 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4582 = Primitive::TupleGetItem{prim_type=1}(%4581, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4670
- %4583 = FuncGraph::fg_4387(%4524, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4584 = Primitive::TupleGetItem{prim_type=1}(%4583, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4671
- %4585 = FuncGraph::fg_4387(%4528, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4586 = Primitive::TupleGetItem{prim_type=1}(%4585, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4672
- %4587 = FuncGraph::fg_4516(%4584, %4586) #(Undefined, Undefined) # fg_4516=▶Maximum.4516 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(575)/ rb_max = maximum(preds[:, 2:], targets[:, 2:])/#▲rb_max
- %4588 = Primitive::TupleGetItem{prim_type=1}(%4587, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4673
- %4589 = FuncGraph::fg_4469(%4524, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4590 = Primitive::TupleGetItem{prim_type=1}(%4589, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4674
- %4591 = FuncGraph::fg_4469(%4528, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4592 = Primitive::TupleGetItem{prim_type=1}(%4591, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4675
- %4593 = FuncGraph::fg_4520(%4590, %4592) #(Undefined, Undefined) # fg_4520=▶Maximum.4520 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(574)/ lt_max = maximum(preds[:, :2], targets[:, :2])/#▲lt_max
- %4594 = Primitive::TupleGetItem{prim_type=1}(%4593, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4676
- %4595 = FuncGraph::fg_4522(%4588, %4594) #(Undefined, Undefined) # fg_4522=▶Add.4522 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4596 = Primitive::TupleGetItem{prim_type=1}(%4595, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4677
- %4597 = FuncGraph::fg_4524(%4596) #(Undefined) # fg_4524=▶Abs.4524 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(577)/ wh_max = ops.Abs()(rb_max + lt_max)/#▲wh_max
- %4598 = Primitive::TupleGetItem{prim_type=1}(%4597, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4678
- %4599 = FuncGraph::fg_4478(%4598, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4478=▶StridedSlice.4478 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4600 = Primitive::TupleGetItem{prim_type=1}(%4599, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4679
- %4601 = FuncGraph::fg_4480(%4598, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4480=▶StridedSlice.4480 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4602 = Primitive::TupleGetItem{prim_type=1}(%4601, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4680
- %4603 = FuncGraph::fg_4528(%4600, %4602) #(Undefined, Undefined) # fg_4528=▶Mul.4528 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4604 = Primitive::TupleGetItem{prim_type=1}(%4603, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4681
- %4605 = FuncGraph::fg_4530(%4604, %4580) #(Undefined, Undefined) # fg_4530=▶Sub.4530 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4606 = Primitive::TupleGetItem{prim_type=1}(%4605, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4682
- %4607 = FuncGraph::fg_4532(%4606, Tensor(43)[]) #(Undefined, Undefined) # fg_4532=▶Add.4532 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %4608 = Primitive::TupleGetItem{prim_type=1}(%4607, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4683
- %4609 = FuncGraph::fg_4534(%4604, Tensor(43)[]) #(Undefined, Undefined) # fg_4534=▶Add.4534 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %4610 = Primitive::TupleGetItem{prim_type=1}(%4609, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4684
- %4611 = FuncGraph::fg_4536(%4610) #(Undefined) # fg_4536=▶Abs.4536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(581)/ giou = iou - (G_area - union + 1e-8) / ops.Abs()(G_area + 1e-8) #back3/#▲[CNode]4537
- %4612 = Primitive::TupleGetItem{prim_type=1}(%4611, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4685
- %4613 = FuncGraph::fg_4539(%4608, %4612) #(Undefined, Undefined) # fg_4539=▶RealDiv.4539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4614 = Primitive::TupleGetItem{prim_type=1}(%4613, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4686
- %4615 = FuncGraph::fg_4541(%4582, %4614) #(Undefined, Undefined) # fg_4541=▶Sub.4541 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4616 = Primitive::TupleGetItem{prim_type=1}(%4615, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4687
- %4617 = FuncGraph::fg_4543(Tensor(43)[], %4616) #(Undefined, Undefined) # fg_4543=▶Sub.4543 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %4618 = Primitive::TupleGetItem{prim_type=1}(%4617, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4688
- %4619 = FuncGraph::fg_4210(%4618, (I64(1), I64(-1))) #(Undefined, Undefined) # fg_4210=▶Reshape.4210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4620 = Primitive::TupleGetItem{prim_type=1}(%4619, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4689
- %4621 = FuncGraph::fg_4690(%4376) #(Undefined) # fg_4690=▶6979_845__tensor_getitem_by_number.4690 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(494)/ mask_index = mask[batch_index]/#▲mask_index
- %4622 = Primitive::TupleGetItem{prim_type=1}(%4621, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4691
- %4623 = FuncGraph::fg_4692(%4622, F32) #(Undefined, Undefined) # fg_4692=▶Cast.4692 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲Φmask_index
- %4624 = Primitive::TupleGetItem{prim_type=1}(%4623, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4693
- %4625 = MakeTupleGradient::make_tuple_gradient(%4624) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4626 = Primitive::TupleGetItem{prim_type=1}(%4625, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4694
- %4627 = FuncGraph::fg_4695(%4626) #(Undefined) # fg_4695=▶6984_850__add_tuple.4695 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4628 = Primitive::TupleGetItem{prim_type=1}(%4627, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4696
- %4629 = MakeTupleGradient::make_tuple_gradient(%4624) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4630 = Primitive::TupleGetItem{prim_type=1}(%4629, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4697
- %4631 = FuncGraph::fg_4698(%4628, %4630) #(Undefined, Undefined) # fg_4698=▶6982_848__add_tuple.4698 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4632 = Primitive::TupleGetItem{prim_type=1}(%4631, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4699
- %4633 = MakeTupleGradient::make_tuple_gradient(%4624) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4634 = Primitive::TupleGetItem{prim_type=1}(%4633, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4700
- %4635 = FuncGraph::fg_4701(%4632, %4634) #(Undefined, Undefined) # fg_4701=▶6980_846__add_tuple.4701 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4636 = Primitive::TupleGetItem{prim_type=1}(%4635, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4702
- %4637 = MakeTupleGradient::make_tuple_gradient(%4624) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4638 = Primitive::TupleGetItem{prim_type=1}(%4637, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4703
- %4639 = FuncGraph::fg_4704(%4636, %4638) #(Undefined, Undefined) # fg_4704=▶6977_843__add_tuple.4704 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4640 = Primitive::TupleGetItem{prim_type=1}(%4639, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4705
- %4641 = FuncGraph::fg_4706(%4640) #(Undefined) # fg_4706=▶Stack.4706 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(503)/ mask_index = stack(tempmask)/#▲mask_index
- %4642 = Primitive::TupleGetItem{prim_type=1}(%4641, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4707
- %4643 = FuncGraph::fg_4708(%4642) #(Undefined) # fg_4708=▶Squeeze.4708 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(505)/ mask_index = squeeze(mask_index)/#▲mask_index
- %4644 = Primitive::TupleGetItem{prim_type=1}(%4643, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4709
- %4645 = FuncGraph::fg_4571(%4644, (I64(0), I64(0)), (I64(1), I64(37606)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4571=▶StridedSlice.4571 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4646 = Primitive::TupleGetItem{prim_type=1}(%4645, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4710
- %4647 = FuncGraph::fg_4573(%4646, (I64(-1), I64(1))) #(Undefined, Undefined) # fg_4573=▶Reshape.4573 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4648 = Primitive::TupleGetItem{prim_type=1}(%4647, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4711
- %4649 = FuncGraph::fg_4575(%4620, %4648) #(Undefined, Undefined) # fg_4575=▶MatMul.4575 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/math_ops.py(345)/ return matmul_op(x1, x2)/#▲[CNode]4218
- %4650 = Primitive::TupleGetItem{prim_type=1}(%4649, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4712
- %4651 = FuncGraph::fg_4577(%4650, (I64(1))) #(Undefined, Undefined) # fg_4577=▶Reshape.4577 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4652 = Primitive::TupleGetItem{prim_type=1}(%4651, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4713
- %4653 = FuncGraph::fg_4714(%4200, (I64(3), I64(0), I64(0)), (I64(4), I64(37606), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4714=▶StridedSlice.4714 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4654 = Primitive::TupleGetItem{prim_type=1}(%4653, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4715
- %4655 = FuncGraph::fg_4387(%4654, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4656 = Primitive::TupleGetItem{prim_type=1}(%4655, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4716
- %4657 = FuncGraph::fg_4714(%4278, (I64(3), I64(0), I64(0)), (I64(4), I64(37606), I64(4)), (I64(1), I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4714=▶StridedSlice.4714 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4658 = Primitive::TupleGetItem{prim_type=1}(%4657, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4717
- %4659 = FuncGraph::fg_4387(%4658, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4660 = Primitive::TupleGetItem{prim_type=1}(%4659, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4718
- %4661 = FuncGraph::fg_4467(%4656, %4660) #(Undefined, Undefined) # fg_4467=▶Minimum.4467 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(563)/ rb_min = minimum(preds[:, 2:], targets[:, 2:])/#▲rb_min
- %4662 = Primitive::TupleGetItem{prim_type=1}(%4661, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4719
- %4663 = FuncGraph::fg_4469(%4654, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4664 = Primitive::TupleGetItem{prim_type=1}(%4663, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4720
- %4665 = FuncGraph::fg_4469(%4658, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4666 = Primitive::TupleGetItem{prim_type=1}(%4665, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4721
- %4667 = FuncGraph::fg_4472(%4664, %4666) #(Undefined, Undefined) # fg_4472=▶Minimum.4472 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(562)/ lt_min = minimum(preds[:, :2], targets[:, :2])/#▲lt_min
- %4668 = Primitive::TupleGetItem{prim_type=1}(%4667, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4722
- %4669 = FuncGraph::fg_4474(%4662, %4668) #(Undefined, Undefined) # fg_4474=▶Add.4474 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4670 = Primitive::TupleGetItem{prim_type=1}(%4669, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4723
- %4671 = FuncGraph::fg_4476(%4670) #(Undefined) # fg_4476=▶Abs.4476 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(567)/ wh_min = ops.Abs()(rb_min + lt_min)/#▲wh_min
- %4672 = Primitive::TupleGetItem{prim_type=1}(%4671, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4724
- %4673 = FuncGraph::fg_4478(%4672, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4478=▶StridedSlice.4478 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4674 = Primitive::TupleGetItem{prim_type=1}(%4673, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4725
- %4675 = FuncGraph::fg_4480(%4672, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4480=▶StridedSlice.4480 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4676 = Primitive::TupleGetItem{prim_type=1}(%4675, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4726
- %4677 = FuncGraph::fg_4482(%4674, %4676) #(Undefined, Undefined) # fg_4482=▶Mul.4482 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4678 = Primitive::TupleGetItem{prim_type=1}(%4677, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4727
- %4679 = FuncGraph::fg_4484(%4654, (I64(0), I64(2)), (I64(37606), I64(3)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4484=▶StridedSlice.4484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4680 = Primitive::TupleGetItem{prim_type=1}(%4679, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4728
- %4681 = FuncGraph::fg_4486(%4654, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4486=▶StridedSlice.4486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4682 = Primitive::TupleGetItem{prim_type=1}(%4681, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4729
- %4683 = FuncGraph::fg_4488(%4680, %4682) #(Undefined, Undefined) # fg_4488=▶Add.4488 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4684 = Primitive::TupleGetItem{prim_type=1}(%4683, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4730
- %4685 = FuncGraph::fg_4490(%4654, (I64(0), I64(3)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4490=▶StridedSlice.4490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4686 = Primitive::TupleGetItem{prim_type=1}(%4685, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4731
- %4687 = FuncGraph::fg_4492(%4654, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4492=▶StridedSlice.4492 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4688 = Primitive::TupleGetItem{prim_type=1}(%4687, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4732
- %4689 = FuncGraph::fg_4494(%4686, %4688) #(Undefined, Undefined) # fg_4494=▶Add.4494 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4690 = Primitive::TupleGetItem{prim_type=1}(%4689, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4733
- %4691 = FuncGraph::fg_4496(%4684, %4690) #(Undefined, Undefined) # fg_4496=▶Mul.4496 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4692 = Primitive::TupleGetItem{prim_type=1}(%4691, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4734
- %4693 = FuncGraph::fg_4484(%4658, (I64(0), I64(2)), (I64(37606), I64(3)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4484=▶StridedSlice.4484 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4694 = Primitive::TupleGetItem{prim_type=1}(%4693, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4735
- %4695 = FuncGraph::fg_4486(%4658, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4486=▶StridedSlice.4486 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4696 = Primitive::TupleGetItem{prim_type=1}(%4695, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4736
- %4697 = FuncGraph::fg_4500(%4694, %4696) #(Undefined, Undefined) # fg_4500=▶Add.4500 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4698 = Primitive::TupleGetItem{prim_type=1}(%4697, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4737
- %4699 = FuncGraph::fg_4490(%4658, (I64(0), I64(3)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4490=▶StridedSlice.4490 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4700 = Primitive::TupleGetItem{prim_type=1}(%4699, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4738
- %4701 = FuncGraph::fg_4492(%4658, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4492=▶StridedSlice.4492 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4702 = Primitive::TupleGetItem{prim_type=1}(%4701, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4739
- %4703 = FuncGraph::fg_4504(%4700, %4702) #(Undefined, Undefined) # fg_4504=▶Add.4504 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4704 = Primitive::TupleGetItem{prim_type=1}(%4703, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4740
- %4705 = FuncGraph::fg_4506(%4698, %4704) #(Undefined, Undefined) # fg_4506=▶Mul.4506 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4706 = Primitive::TupleGetItem{prim_type=1}(%4705, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4741
- %4707 = FuncGraph::fg_4508(%4692, %4706) #(Undefined, Undefined) # fg_4508=▶Add.4508 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4708 = Primitive::TupleGetItem{prim_type=1}(%4707, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4742
- %4709 = FuncGraph::fg_4510(%4708, %4678) #(Undefined, Undefined) # fg_4510=▶Sub.4510 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4710 = Primitive::TupleGetItem{prim_type=1}(%4709, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4743
- %4711 = FuncGraph::fg_4512(%4678, %4710) #(Undefined, Undefined) # fg_4512=▶RealDiv.4512 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4712 = Primitive::TupleGetItem{prim_type=1}(%4711, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4744
- %4713 = FuncGraph::fg_4387(%4654, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4714 = Primitive::TupleGetItem{prim_type=1}(%4713, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4745
- %4715 = FuncGraph::fg_4387(%4658, (I64(0), I64(2)), (I64(37606), I64(4)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4387=▶StridedSlice.4387 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4716 = Primitive::TupleGetItem{prim_type=1}(%4715, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4746
- %4717 = FuncGraph::fg_4516(%4714, %4716) #(Undefined, Undefined) # fg_4516=▶Maximum.4516 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(575)/ rb_max = maximum(preds[:, 2:], targets[:, 2:])/#▲rb_max
- %4718 = Primitive::TupleGetItem{prim_type=1}(%4717, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4747
- %4719 = FuncGraph::fg_4469(%4654, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4720 = Primitive::TupleGetItem{prim_type=1}(%4719, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4748
- %4721 = FuncGraph::fg_4469(%4658, (I64(0), I64(0)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4469=▶StridedSlice.4469 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4722 = Primitive::TupleGetItem{prim_type=1}(%4721, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4749
- %4723 = FuncGraph::fg_4520(%4720, %4722) #(Undefined, Undefined) # fg_4520=▶Maximum.4520 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(574)/ lt_max = maximum(preds[:, :2], targets[:, :2])/#▲lt_max
- %4724 = Primitive::TupleGetItem{prim_type=1}(%4723, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4750
- %4725 = FuncGraph::fg_4522(%4718, %4724) #(Undefined, Undefined) # fg_4522=▶Add.4522 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4726 = Primitive::TupleGetItem{prim_type=1}(%4725, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4751
- %4727 = FuncGraph::fg_4524(%4726) #(Undefined) # fg_4524=▶Abs.4524 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(577)/ wh_max = ops.Abs()(rb_max + lt_max)/#▲wh_max
- %4728 = Primitive::TupleGetItem{prim_type=1}(%4727, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4752
- %4729 = FuncGraph::fg_4478(%4728, (I64(0), I64(0)), (I64(37606), I64(1)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4478=▶StridedSlice.4478 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4730 = Primitive::TupleGetItem{prim_type=1}(%4729, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4753
- %4731 = FuncGraph::fg_4480(%4728, (I64(0), I64(1)), (I64(37606), I64(2)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4480=▶StridedSlice.4480 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(387)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]419
- %4732 = Primitive::TupleGetItem{prim_type=1}(%4731, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4754
- %4733 = FuncGraph::fg_4528(%4730, %4732) #(Undefined, Undefined) # fg_4528=▶Mul.4528 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/mul_impl.py(50)/ return F.tensor_mul(x, y)/#▲[CNode]616
- %4734 = Primitive::TupleGetItem{prim_type=1}(%4733, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4755
- %4735 = FuncGraph::fg_4530(%4734, %4710) #(Undefined, Undefined) # fg_4530=▶Sub.4530 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4736 = Primitive::TupleGetItem{prim_type=1}(%4735, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4756
- %4737 = FuncGraph::fg_4532(%4736, Tensor(43)[]) #(Undefined, Undefined) # fg_4532=▶Add.4532 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %4738 = Primitive::TupleGetItem{prim_type=1}(%4737, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4757
- %4739 = FuncGraph::fg_4534(%4734, Tensor(43)[]) #(Undefined, Undefined) # fg_4534=▶Add.4534 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(116)/ return F.add(x, y)/#▲[CNode]2821
- %4740 = Primitive::TupleGetItem{prim_type=1}(%4739, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4758
- %4741 = FuncGraph::fg_4536(%4740) #(Undefined) # fg_4536=▶Abs.4536 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(581)/ giou = iou - (G_area - union + 1e-8) / ops.Abs()(G_area + 1e-8) #back3/#▲[CNode]4537
- %4742 = Primitive::TupleGetItem{prim_type=1}(%4741, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4759
- %4743 = FuncGraph::fg_4539(%4738, %4742) #(Undefined, Undefined) # fg_4539=▶RealDiv.4539 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4744 = Primitive::TupleGetItem{prim_type=1}(%4743, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4760
- %4745 = FuncGraph::fg_4541(%4712, %4744) #(Undefined, Undefined) # fg_4541=▶Sub.4541 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(39)/ return F.tensor_sub(x, y)/#▲[CNode]464
- %4746 = Primitive::TupleGetItem{prim_type=1}(%4745, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4761
- %4747 = FuncGraph::fg_4543(Tensor(43)[], %4746) #(Undefined, Undefined) # fg_4543=▶Sub.4543 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/sub_impl.py(45)/ return F.tensor_sub(x, y)/#▲[CNode]1447
- %4748 = Primitive::TupleGetItem{prim_type=1}(%4747, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4762
- %4749 = FuncGraph::fg_4210(%4748, (I64(1), I64(-1))) #(Undefined, Undefined) # fg_4210=▶Reshape.4210 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4750 = Primitive::TupleGetItem{prim_type=1}(%4749, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4763
- %4751 = FuncGraph::fg_4764(%4376) #(Undefined) # fg_4764=▶6967_833__tensor_getitem_by_number.4764 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(494)/ mask_index = mask[batch_index]/#▲mask_index
- %4752 = Primitive::TupleGetItem{prim_type=1}(%4751, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4765
- %4753 = FuncGraph::fg_4766(%4752, F32) #(Undefined, Undefined) # fg_4766=▶Cast.4766 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲Φmask_index
- %4754 = Primitive::TupleGetItem{prim_type=1}(%4753, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4767
- %4755 = MakeTupleGradient::make_tuple_gradient(%4754) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4756 = Primitive::TupleGetItem{prim_type=1}(%4755, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4768
- %4757 = FuncGraph::fg_4769(%4756) #(Undefined) # fg_4769=▶6972_838__add_tuple.4769 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4758 = Primitive::TupleGetItem{prim_type=1}(%4757, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4770
- %4759 = MakeTupleGradient::make_tuple_gradient(%4754) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4760 = Primitive::TupleGetItem{prim_type=1}(%4759, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4771
- %4761 = FuncGraph::fg_4772(%4758, %4760) #(Undefined, Undefined) # fg_4772=▶6970_836__add_tuple.4772 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4762 = Primitive::TupleGetItem{prim_type=1}(%4761, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4773
- %4763 = MakeTupleGradient::make_tuple_gradient(%4754) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4764 = Primitive::TupleGetItem{prim_type=1}(%4763, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4774
- %4765 = FuncGraph::fg_4775(%4762, %4764) #(Undefined, Undefined) # fg_4775=▶6968_834__add_tuple.4775 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4766 = Primitive::TupleGetItem{prim_type=1}(%4765, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4776
- %4767 = MakeTupleGradient::make_tuple_gradient(%4754) #(Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲[CNode]4554
- %4768 = Primitive::TupleGetItem{prim_type=1}(%4767, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4777
- %4769 = FuncGraph::fg_4778(%4766, %4768) #(Undefined, Undefined) # fg_4778=▶6965_831__add_tuple.4778 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(502)/ tempmask += (mask_index,)/#▲tempmask
- %4770 = Primitive::TupleGetItem{prim_type=1}(%4769, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4779
- %4771 = FuncGraph::fg_4780(%4770) #(Undefined) # fg_4780=▶Stack.4780 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(503)/ mask_index = stack(tempmask)/#▲mask_index
- %4772 = Primitive::TupleGetItem{prim_type=1}(%4771, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4781
- %4773 = FuncGraph::fg_4782(%4772) #(Undefined) # fg_4782=▶Squeeze.4782 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(505)/ mask_index = squeeze(mask_index)/#▲mask_index
- %4774 = Primitive::TupleGetItem{prim_type=1}(%4773, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4783
- %4775 = FuncGraph::fg_4571(%4774, (I64(0), I64(0)), (I64(1), I64(37606)), (I64(1), I64(1))) #(Undefined, Undefined, Undefined, Undefined) # fg_4571=▶StridedSlice.4571 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/_compile_utils.py(308)/ return P.StridedSlice(0, 0, 0, 0, shrink_axis_mask)(data, begin_strides, end_strides, step_strides)/#▲[CNode]1434
- %4776 = Primitive::TupleGetItem{prim_type=1}(%4775, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4784
- %4777 = FuncGraph::fg_4573(%4776, (I64(-1), I64(1))) #(Undefined, Undefined) # fg_4573=▶Reshape.4573 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4778 = Primitive::TupleGetItem{prim_type=1}(%4777, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4785
- %4779 = FuncGraph::fg_4575(%4750, %4778) #(Undefined, Undefined) # fg_4575=▶MatMul.4575 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/math_ops.py(345)/ return matmul_op(x1, x2)/#▲[CNode]4218
- %4780 = Primitive::TupleGetItem{prim_type=1}(%4779, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4786
- %4781 = FuncGraph::fg_4577(%4780, (I64(1))) #(Undefined, Undefined) # fg_4577=▶Reshape.4577 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/_extends/parse/standard_method.py(295)/ return F.reshape(x, new_shape)/#▲[CNode]427
- %4782 = Primitive::TupleGetItem{prim_type=1}(%4781, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/target_layer-GenTargets
- # #[CNode]4787
- %4783 = MakeTupleGradient::make_tuple_gradient(%4408, %4522, %4652, %4782) #(Undefined, Undefined, Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(257)/ return _tuple_add(x, y)/#▲4788
- %4784 = Primitive::TupleGetItem{prim_type=1}(%4783, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead
- # #[CNode]4789
- %4785 = FuncGraph::fg_4790(%4784) #(Undefined) # fg_4790=▶Concat.4790 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(527)/ return ops.Concat()(loss) / num_pos # [batch_size,]/#▲[CNode]4791
- %4786 = Primitive::TupleGetItem{prim_type=1}(%4785, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4792
- %4787 = FuncGraph::fg_4793(%4376, (I64(1), I64(2))) #(Undefined, Undefined) # fg_4793=▶ReduceSum.4793 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(478)/ num_pos = ops.ReduceSum()(mask, (1, 2))/#▲num_pos
- %4788 = Primitive::TupleGetItem{prim_type=1}(%4787, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4794
- %4789 = FuncGraph::fg_4795(%4788, Tensor(43)[]) #(Undefined, Undefined) # fg_4795=▶Equal.4795 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/equal_impl.py(238)/ return F.equal(x, y)/#▲[CNode]3189
- %4790 = Primitive::TupleGetItem{prim_type=1}(%4789, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4796
- %4791 = FuncGraph::fg_4797(%4790, Tensor(43)[4], %4788) #(Undefined, Undefined, Undefined) # fg_4797=▶Select.4797 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/numpy/array_ops.py(727)/ res = F.select(condition, x, y)/#▲res
- %4792 = Primitive::TupleGetItem{prim_type=1}(%4791, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4798
- %4793 = FuncGraph::fg_4799(%4786, %4792) #(Undefined, Undefined) # fg_4799=▶RealDiv.4799 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/div_impl.py(57)/ return F.tensor_div(x, y)/#▲[CNode]2969
- %4794 = Primitive::TupleGetItem{prim_type=1}(%4793, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/head-ClsCntRegHead/reg_conv-SequentialCell/1-GroupNorm
- # #[CNode]4800
- %4795 = FuncGraph::fg_4801(%4794, ()) #(Undefined, Undefined) # fg_4801=▶ReduceMean.4801 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(629)/ reg_loss = mean(compute_reg_loss(reg_preds, reg_targets, mask_pos))/#▲reg_loss
- %4796 = Primitive::TupleGetItem{prim_type=1}(%4795, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4802
- %4797 = FuncGraph::fg_4803(%4796, (I64(1))) #(Undefined, Undefined) # fg_4803=▶Reshape.4803 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # In file /home/zsl_2/model/loss.py(632)/ reg_loss = ops.Reshape()(reg_loss, (1,))/#▲reg_loss
- %4798 = Primitive::TupleGetItem{prim_type=1}(%4797, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/loss_layer-LOSS
- # #[CNode]4804
- %4799 = FuncGraph::fg_4805(%4120, %4798) #(Undefined, Undefined) # fg_4805=▶Add.4805 #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/add_impl.py(212)/ return F.add(x, y)/#▲[CNode]529
- %4800 = Primitive::TupleGetItem{prim_type=1}(%4799, I64(0)) #(Undefined, Undefined) #scope: Default/network-TrainOneStepCell/network-FCOSDetector/fcos_body-FCOS/backbone-ResNet/layer1-SequentialCell/0-ResidualBlock
- # #[CNode]4806
- %4801 = Primitive::MakeTuple{prim_type=1}(%4800, FuncGraph::fg_4807) #(Undefined, Undefined) # fg_4807=◀6144_8_construct.4807 #scope: Default/network-TrainOneStepCell
- # #[CNode]4808
- Primitive::Return{prim_type=1}(%4801) #(Undefined) #scope: Default/network-TrainOneStepCell
- # #[CNode]4809
- }
- # order:
- # 1: ▶6144_8_construct.327:[CNode]4809{[0]: ValueNode<Primitive> Return, [1]: [CNode]4808}
-
-
- # [No.3] ▶TupleGetItem.328
- #
- funcgraph fg_328(
- %para751 : List[Tensor(I32)*2] # ▶data
- , %para752 : I64 # ▶idx
- ) {
-
- #------------------------> 2
- %1 = Primitive::TupleGetItem{prim_type=1}(%para751, %para752) #(List[Tensor(I32)*2], I64) #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/composite/multitype_ops/getitem_impl.py(134)/ return F.list_getitem(data, number_index)/#equiv[CNode]421
- %2 = Primitive::MakeTuple{prim_type=1}(%1, FuncGraph::fg_4810) #(Undefined, Undefined) # fg_4810=◀TupleGetItem.4810 #scope: Default/network-TrainOneStepCell
- # In file /root/archiconda3/envs/ci3.7/lib/python3.7/site-packages/mindspore/ops/_grad/grad_implementations.py(137)/def bprop_tuple_getitem(data, idx, out, dout):/#∇out
- Primitive::Return{prim_type=1}(%2) #(Undefined) #scope: Default/network-TrainOneStepCell
- # #▶TupleGetItem
- }
- # order:
- # 1: ▶TupleGetItem.328:▶TupleGetItem{[0]: ValueNode<Primitive> Return, [1]: ∇out}
-
-
- #===============================================================================
- # num of function graphs in stack: 3
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