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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- """
- network config setting, will be used in train.py and eval.py
- """
- from easydict import EasyDict as edict
-
- # config for vgg16, cifar10
- cifar_cfg = edict({
- "num_classes": 10,
- "lr": 0.01,
- "lr_init": 0.01,
- "lr_max": 0.1,
- "lr_epochs": '30,60,90,120',
- "lr_scheduler": "step",
- "warmup_epochs": 5,
- "batch_size": 64,
- "max_epoch": 70,
- "momentum": 0.9,
- "weight_decay": 5e-4,
- "loss_scale": 1.0,
- "label_smooth": 0,
- "label_smooth_factor": 0,
- "buffer_size": 10,
- "image_size": '224,224',
- "pad_mode": 'same',
- "padding": 0,
- "has_bias": False,
- "batch_norm": True,
- "keep_checkpoint_max": 10,
- "initialize_mode": "XavierUniform",
- "has_dropout": False
- })
-
- # config for vgg16, imagenet2012
- imagenet_cfg = edict({
- "num_classes": 1000,
- "lr": 0.01,
- "lr_init": 0.01,
- "lr_max": 0.1,
- "lr_epochs": '30,60,90,120',
- "lr_scheduler": 'cosine_annealing',
- "warmup_epochs": 0,
- "batch_size": 32,
- "max_epoch": 150,
- "momentum": 0.9,
- "weight_decay": 1e-4,
- "loss_scale": 1024,
- "label_smooth": 1,
- "label_smooth_factor": 0.1,
- "buffer_size": 10,
- "image_size": '224,224',
- "pad_mode": 'pad',
- "padding": 1,
- "has_bias": False,
- "batch_norm": False,
- "keep_checkpoint_max": 10,
- "initialize_mode": "KaimingNormal",
- "has_dropout": True
- })
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