|
- # Preset datasets
- DELETE FROM datasets WHERE name = 'dog-vs-cat';
- INSERT INTO datasets (created_at, updated_at, deleted_at, name, description, creator, version, path,
- status, binds, is_private, is_translated, size)
- VALUES ('2021-01-06 11:35:29', '2021-01-06 11:35:29', NULL, 'dog-vs-cat', 'dog-vs-cat image', 'admin', '0.0.1','/data/dataset/storage/dog-vs-cat/dog-vs-cat/', 'normal', '', false, true, 204745444);
- DELETE FROM datasets WHERE name = 'mnist';
- INSERT INTO datasets (created_at, updated_at, deleted_at, name, description, creator, version, path,
- status, binds, is_private, is_translated, size)
- VALUES ('2021-01-06 11:35:29', '2021-01-06 11:35:29', NULL, 'mnist', 'mnist_tfrecord', 'admin', '0.0.1','/data/dataset/storage/mnist/', 'normal', '', false, true, 357853681);
- DELETE FROM datasets WHERE name = 'cifar100';
- INSERT INTO datasets (created_at, updated_at, deleted_at, name, description, creator, version, path,
- status, binds, is_private, is_translated, size)
- VALUES ('2020-10-28 03:35:29', '2020-10-28 03:35:29', NULL, 'cifar100', 'cifar100 python byters', 'admin', '0.0.1','/data/dataset/storage/cifar-100-python/', 'normal', '', false, true, 357853);
- DELETE FROM datasets WHERE name = 'dog-vs-cat';
- INSERT INTO datasets (created_at, updated_at, deleted_at, name, description, creator, version, path,
- status, binds, is_private, is_translated, size)
- VALUES ('2020-10-28 03:35:29', '2020-10-28 03:35:29', NULL, 'dog-vs-cat', 'dogs and cats', 'admin', '0.0.1','/data/dataset/storage/dog-vs-cat/', 'normal', '', false, true, 7578530);
- -- DELETE FROM datasets WHERE name = 'hardhat_uniform';
- -- INSERT INTO datasets (created_at, updated_at, deleted_at, name, description, creator, version, path,
- -- status, binds, is_private, is_translated, size)
- -- VALUES ('2020-10-28 03:35:29', '2020-10-28 03:35:29', NULL, 'hardhat_uniform', 'user custom kites', 'admin', '0.0.1','/data/dataset/storage/hardhat_uniform/', 'normal', '', false, true, 132164361);
- DELETE FROM datasets WHERE name = 'fashion-mnist';
- INSERT INTO datasets (created_at, updated_at, deleted_at, name, description, creator, version, path,
- status, binds, is_private, is_translated, size)
- VALUES ('2020-10-28 03:35:29', '2020-10-28 03:35:29', NULL, 'fashion-mnist', 'fashion-mnist_tfrecord', 'admin', '0.0.1','/data/dataset/storage/fashion-mnist/', 'normal', '', false, true, 357853681);
-
- # Preset engin framework images
- insert into images (id,image_type, image_full_name, details) values (1,'tensorflow', 'apulistech/tensorflow:1.15.0-gpu-py3', '{"desc":"描述信息","category":"normal","brand":"nvidia","cpuArchType":"amd64","deviceType":"gpu"}') WHERE NOT EXISTS ( SELECT image_full_name FROM images WHERE image_full_name = 'apulistech/tensorflow:1.15.0-gpu-py3');
- insert into images (id,image_type, image_full_name, details) values (2,'pytorch', 'apulistech/pytorch:1.6.0-gpu', '{"desc":"描述信息","category":"normal","brand":"nvidia","cpuArchType":"amd64","deviceType":"gpu"}') WHERE NOT EXISTS ( SELECT image_full_name FROM images WHERE image_full_name = 'apulistech/pytorch:1.6.0-gpu');
- insert into images (id,image_type, image_full_name, details) values (3,'mxnet', 'apulistech/mxnet:2.0.0-gpu-py3', '{"desc":"描述信息","category":"normal","brand":"nvidia","cpuArchType":"amd64","deviceType":"gpu"}') WHERE NOT EXISTS ( SELECT image_full_name FROM images WHERE image_full_name = 'apulistech/mxnet:2.0.0-gpu-py3');
- insert into images (id,image_type, image_full_name, details) values (3,'mxnet', 'apulistech/mindspore:1.1.1-gpu', '{"desc":"描述信息","category":"normal","brand":"nvidia","cpuArchType":"amd64","deviceType":"gpu"}') WHERE NOT EXISTS ( SELECT image_full_name FROM images WHERE image_full_name = 'apulistech/mindspore:1.1.1-gpu');
- insert into images (id,image_type, image_full_name, details) values (3,'mxnet', 'apulistech/tensorflow:2.3.0-gpu', '{"desc":"描述信息","category":"normal","brand":"nvidia","cpuArchType":"amd64","deviceType":"gpu"}') WHERE NOT EXISTS ( SELECT image_full_name FROM images WHERE image_full_name = 'apulistech/tensorflow:2.3.0-gpu');
- insert into images (id,image_type, image_full_name, details) values (3,'mxnet', 'apulistech/tensorflow:1.14.0-gpu-py3', '{"desc":"描述信息","category":"normal","brand":"nvidia","cpuArchType":"amd64","deviceType":"gpu"}') WHERE NOT EXISTS ( SELECT image_full_name FROM images WHERE image_full_name = 'apulistech/tensorflow:1.14.0-gpu-py3');
-
- # Preset model templates
- DELETE FROM modelsets WHERE is_advance=true;
- DELETE FROM modelsets WHERE name = 'ResNet50_mindspore_gpu';
- INSERT INTO modelsets (created_at, updated_at, deleted_at, name, description, creator, version,
- status, size, use, job_id, data_format, dataset_name, dataset_path, params,
- engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path,
- evaluation_id, device_type, device_num)
- VALUES ('2021-01-06 11:35:29', '2021-01-06 11:35:29', NULL, 'ResNet50_mindspore_gpu', 'ResNet50_mindspore_gpu', 'admin', '0.0.1', 'normal'
- , 71455368,'Classfication', '', 'image', 'dog-vs-cat', '/data/dataset/storage/dog-vs-cat/dog-vs-cat/','{"epoch_size": "1000", "net": "resnet50", "dataset": "imagenet2012"}',
- 'apulistech/mindspore:1.1.1-gpu', '-', true, '/data/model-gallery/models/gpu/mindspore/resnet', 'work_dirs/ResNet50_mindspore_gpu',
- 'work_dirs/ResNet50_mindspore_gpu', '/data/model-gallery/models/gpu/mindspore/resnet/train.py','work_dirs/ResNet50_mindspore_gpu', '', 'nvidia_gpu_amd64', 1);
- DELETE FROM modelsets WHERE name = 'LeNet_pytorch_gpu_scratch';
- INSERT INTO modelsets (created_at, updated_at, deleted_at, name, description, creator, version,
- status, size, use, job_id, data_format, dataset_name, dataset_path, params,
- engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path,
- evaluation_id, device_type, device_num)
- VALUES ('2021-01-06 11:35:29', '2021-01-06 11:35:29', NULL, 'LeNet_pytorch_gpu_scratch', 'LeNet_pytorch_gpu_scratch', 'admin', '0.0.1', 'normal'
- , 31455368,'Classfication', '', 'TFRecord', 'mnist', '/data/dataset/storage/mnist/','{"epoch": "10", "log-interval": "100", "lr": "0.1"}',
- 'apulistech/pytorch:1.6.0-gpu', '-', true, '/data/model-gallery/models/gpu/pytorch/lenet', 'work_dirs/LeNet_pytorch_gpu_scratch',
- 'work_dirs/LeNet_pytorch_gpu_scratch', '/data/model-gallery/models/gpu/pytorch/lenet/train.py','work_dirs/LeNet_pytorch_gpu_scratch', '', 'nvidia_gpu_amd64', 1);
- DELETE FROM modelsets WHERE name = 'LeNet_tensorflow_gpu_scratch';
- INSERT INTO modelsets (created_at, updated_at, deleted_at, name, description, creator, version,
- status, size, use, job_id, data_format, dataset_name, dataset_path, params,
- engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path,
- evaluation_id, device_type, device_num)
- VALUES ('2020-10-28 03:35:29', '2020-10-28 03:35:29', NULL, 'LeNet_tensorflow_gpu_scratch', 'LeNet_tensorflow_gpu_scratch', 'admin', '0.0.1', 'normal'
- , 20165368,'Classfication', '', 'TFRecord', 'mnist', '/data/dataset/storage/mnist/','{"batch_size": "50", "dataset_name": "mnist", "dataset_split_name": "train", "learning_rate": "0.01", "learning_rate_decay_type": "fixed", "log_every_n_steps": "100", "max_number_of_steps": "20000", "model_name": "lenet", "optimizer": "sgd", "preprocessing_name": "lenet", "save_interval_secs": "60", "save_summaries_secs": "60", "weight_decay": "0"}',
- 'apulistech/tensorflow:1.14.0-gpu-py3', '-', true, '/data/model-gallery/models/gpu/tensorflow/slim', 'work_dirs/LeNet_tensorflow_gpu_scratch',
- 'work_dirs/LeNet_tensorflow_gpu_scratch', '/data/model-gallery/models/gpu/tensorflow/slim/train_image_classifier.py','work_dirs/LeNet_tensorflow_gpu_scratch', '', 'nvidia_gpu_amd64', 1);
- DELETE FROM modelsets WHERE name = 'Inceptionv3_tensorflow_gpu_scratch';
- INSERT INTO modelsets (created_at, updated_at, deleted_at, name, description, creator, version,
- status, size, use, job_id, data_format, dataset_name, dataset_path, params,
- engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path,
- evaluation_id, device_type, device_num)
- VALUES ('2020-10-28 03:35:29', '2020-10-28 03:35:29', NULL, 'Inceptionv3_tensorflow_gpu_scratch', 'Inceptionv3_tensorflow_gpu_scratch', 'admin', '0.0.1', 'normal'
- , 20165368,'Classfication', '', 'TFRecord', 'dog-vs-cat', '/data/dataset/storage/dog-vs-cat/','{"batch_size": "16", "checkpoint_exclude_scopes": "InceptionV3/Logits,InceptionV3/AuxLogits", "checkpoint_path": "/data/dataset/storage/pretrained_models/inception_v3.ckpt", "dataset_name": "dog-vs-cat", "learning_rate": "0.01", "log_every_n_steps": "100", "max_number_of_steps": "3000", "model_name": "inception_v3", "optimizer": "rmsprop", "save_interval_secs": "60", "save_summaries_secs": "60", "trainable_scopes": "InceptionV3/Logits,InceptionV3/AuxLogits ", "weight_decay": "0.00004"}',
- 'apulistech/tensorflow:1.14.0-gpu-py3', '-', true, '/data/model-gallery/models/gpu/tensorflow/slim', 'work_dirs/Inceptionv3_tensorflow_gpu_scratch',
- 'work_dirs/Inceptionv3_tensorflow_gpu_scratch', '/data/model-gallery/models/gpu/tensorflow/slim/train_image_classifier.py','work_dirs/Inceptionv3_tensorflow_gpu_scratch', '', 'nvidia_gpu_amd64', 1);
- -- DELETE FROM modelsets WHERE name = 'SSD_tensorflow_gpu';
- -- INSERT INTO modelsets (created_at, updated_at, deleted_at, name, description, creator, version,
- -- status, size, use, job_id, data_format, dataset_name, dataset_path, params,
- -- engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path,
- -- evaluation_id, device_type, device_num)
- -- VALUES ('2020-10-28 03:35:29', '2020-10-28 03:35:29', NULL, 'SSD_tensorflow_gpu', 'SSD_tensorflow_gpu', 'admin', '0.0.1', 'normal'
- -- , 1320165368,'ObjectDetection', '', 'Image', 'hardhat_uniform', '/data/dataset/storage/hardhat_uniform/','{"alsologtostderr": "", "num_train_steps": "10000", "batch_size": "16", "dataset_name": "hardhat"}',
- -- 'apulistech/tensorflow:2.3.0-gpu-py3', '-', true, '/data/model-gallery/models/gpu/tensorflow/object_detection', 'work_dirs/SSD_tensorflow_gpu',
- -- 'work_dirs/SSD_tensorflow_gpu', '/data/model-gallery/models/gpu/tensorflow/object_detection/train.py','work_dirs/SSD_tensorflow_gpu', '', 'nvidia_gpu_amd64', 1);
- DELETE FROM modelsets WHERE name = 'LeNet_mxnet_gpu_scratch';
- INSERT INTO modelsets (created_at, updated_at, deleted_at, name, description, creator, version,
- status, size, use, job_id, data_format, dataset_name, dataset_path, params,
- engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path,
- evaluation_id, device_type, device_num)
- VALUES ('2020-10-28 03:35:29', '2020-10-28 03:35:29', NULL, 'LeNet_mxnet_gpu_scratch', 'LeNet_mxnet_gpu_scratch', 'admin', '0.0.1', 'normal'
- , 20165368,'Classfication', '', 'TFRecord', 'mnist', '/data/dataset/storage/mnist/','{"batch_size": "50", "epochs": "10", "lr": "0.1"}',
- 'apulistech/mxnet:2.0.0-gpu-py3', '-', true, '/data/model-gallery/models/gpu/mxnet/lenet', 'work_dirs/LeNet_mxnet_gpu_scratch',
- 'work_dirs/LeNet_mxnet_gpu_scratch', '/data/model-gallery/models/gpu/mxnet/lenet/train.py','work_dirs/LeNet_mxnet_gpu_scratch', '', 'nvidia_gpu_amd64', 1);
-
- delete from modelsets where use like 'Avisualis%' and is_advance=true;
-
- INSERT INTO public.modelsets ( created_at, updated_at, deleted_at, name, description, creator, version, status, size, use, job_id, data_format, dataset_name, dataset_path, params, engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path, evaluation_id, device_type, device_num) VALUES ( '2020-09-20 13:40:13.000000', '2020-09-20 03:40:13.000000', null, 'Classfication', null, 'avisualis', '1.0', null, null, 'Avisualis_Model_Classfication', null, null, null, null, '{"panel":"[{\"children\":[],\"name\":\"Input\"},{\"children\":[{\"children\":[],\"config\":[{\"key\":\"depth\",\"options\":[50,101,152],\"type\":\"select\",\"value\":50},{\"key\":\"num_stages\",\"type\":\"number\",\"value\":4},{\"key\":\"out_indices\",\"type\":\"string\",\"value\":[3]},{\"key\":\"style\",\"type\":\"string\",\"value\":\"pytorch\"}],\"name\":\"ResNet\"},{\"children\":[],\"config\":[{\"key\":\"depth\",\"options\":[50,101,152],\"type\":\"select\",\"value\":50},{\"key\":\"num_stages\",\"type\":\"number\",\"value\":4},{\"key\":\"out_indices\",\"type\":\"string\",\"value\":[3]},{\"key\":\"style\",\"type\":\"string\",\"value\":\"pytorch\"}],\"name\":\"ResNext(developing)\"},{\"children\":[],\"config\":[{\"key\":\"depth\",\"options\":[50,101,152],\"type\":\"select\",\"value\":50},{\"key\":\"num_stages\",\"type\":\"number\",\"value\":4},{\"key\":\"out_indices\",\"type\":\"string\",\"value\":[3]},{\"key\":\"style\",\"type\":\"string\",\"value\":\"pytorch\"}],\"name\":\"SEResNet(developing)\"}],\"name\":\"Backbone\"},{\"children\":[{\"config\":[],\"name\":\"AdaptiveAvgMaxPool2d(developing)\"},{\"config\":[],\"name\":\"GlobalAveragePooling\"}],\"name\":\"Neck\"},{\"children\":[{\"children\":[{\"children\":[],\"config\":[{\"key\":\"type\",\"type\":\"string\",\"value\":\"CrossEntropyLoss\"},{\"key\":\"loss_weight\",\"type\":\"number\",\"value\":1}],\"name\":\"loss\"}],\"config\":[{\"key\":\"num_classes\",\"type\":\"number\",\"value\":10},{\"key\":\"in_channels\",\"type\":\"number\",\"value\":2048}],\"name\":\"LinearClsHead\"}],\"name\":\"Head\"},{\"children\":[{\"config\":[{\"key\":\"learning_rate\",\"type\":\"number\",\"value\":0.001}],\"name\":\"SGD\"},{\"config\":[{\"key\":\"learning_rate\",\"type\":\"number\",\"value\":0.001}],\"name\":\"ADAM\"}],\"name\":\"Optimizer\"},{\"children\":[{\"config\":[{\"key\":\"work_dir\",\"type\":\"string\",\"value\":\"work_dir/resnet50_ap\"},{\"key\":\"batch_size\",\"type\":\"number\",\"value\":2},{\"key\":\"total_epochs\",\"type\":\"number\",\"value\":2}],\"name\":\"Runtime\"}],\"name\":\"Output\"}]","pipeline_config":"/data/model/tmp/1603245697346790793.json"}', 'harbor.sigsus.cn:8443/sz_gongdianju/apulistech/apulisvision:1.0.0', '', true, '/data/model-gallery/models/gpu/apulisvision/', '~/avisualis/', '~/avisualis/Classfication', '/data/model-gallery/models/gpu/apulisvision/tools/train_cls.py', 'work_dir/resnet50_ap', '', 'nvidia_gpu_amd64', 1);
-
- INSERT INTO public.modelsets ( created_at, updated_at, deleted_at, name, description, creator, version, status, size, use, job_id, data_format, dataset_name, dataset_path, params, engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path, evaluation_id, device_type, device_num) VALUES ( '2020-09-20 13:40:13.000000', '2020-09-20 03:40:13.000000', null, 'ObjectDetection', null, 'avisualis', '1.0', null, null, 'Avisualis_Model_ObjectDetection', null, null, null, null,'{"panel":"[{\"children\":[],\"name\":\"Input\"},{\"children\":[{\"children\":[{\"children\":[],\"config\":[{\"key\":\"type\",\"type\":\"string\",\"value\":\"BN\"}],\"name\":\"norm_cfg\"}],\"config\":[{\"key\":\"depth\",\"type\":\"number\",\"value\":50},{\"key\":\"num_stages\",\"type\":\"number\",\"value\":4},{\"key\":\"out_indices\",\"type\":\"string\",\"value\":[0,1,2,3]},{\"key\":\"dilations\",\"type\":\"string\",\"value\":[1,1,2,4]},{\"key\":\"strides\",\"type\":\"string\",\"value\":[1,2,1,1]},{\"key\":\"norm_eval\",\"type\":\"string\",\"value\":false},{\"key\":\"style\",\"type\":\"string\",\"value\":\"pytorch\"},{\"key\":\"contract_dilation\",\"type\":\"string\",\"value\":true}],\"name\":\"ResNet\"},{\"children\":[],\"config\":[{\"key\":\"depth\",\"type\":\"number\",\"value\":50},{\"key\":\"num_stages\",\"type\":\"number\",\"value\":4},{\"key\":\"out_indices\",\"type\":\"string\",\"value\":[0,1,2,3]},{\"key\":\"dilations\",\"type\":\"string\",\"value\":[1,1,2,4]},{\"key\":\"strides\",\"type\":\"string\",\"value\":[1,2,1,1]},{\"key\":\"norm_eval\",\"type\":\"string\",\"value\":false},{\"key\":\"style\",\"type\":\"string\",\"value\":\"pytorch\"},{\"key\":\"contract_dilation\",\"type\":\"string\",\"value\":true}],\"name\":\"ResNeXt(developing)\"},{\"children\":[],\"config\":[{\"key\":\"depth\",\"type\":\"number\",\"value\":50},{\"key\":\"num_stages\",\"type\":\"number\",\"value\":4},{\"key\":\"out_indices\",\"type\":\"string\",\"value\":[0,1,2,3]},{\"key\":\"dilations\",\"type\":\"string\",\"value\":[1,1,2,4]},{\"key\":\"strides\",\"type\":\"string\",\"value\":[1,2,1,1]},{\"key\":\"norm_eval\",\"type\":\"string\",\"value\":false},{\"key\":\"style\",\"type\":\"string\",\"value\":\"pytorch\"},{\"key\":\"contract_dilation\",\"type\":\"string\",\"value\":true}],\"name\":\"ResNetV1s(developing)\"}],\"name\":\"Backbone\"},{\"children\":[{\"children\":[{\"children\":[],\"config\":[{\"key\":\"type\",\"type\":\"string\",\"value\":\"CrossEntropyLoss\"},{\"key\":\"use_sigmoid\",\"type\":\"string\",\"value\":false},{\"key\":\"loss_weight\",\"type\":\"number\",\"value\":1}],\"name\":\"loss_decode\"}],\"config\":[{\"key\":\"in_channels\",\"type\":\"number\",\"value\":2048},{\"key\":\"in_index\",\"type\":\"number\",\"value\":3},{\"key\":\"channels\",\"type\":\"number\",\"value\":512},{\"key\":\"num_convs\",\"type\":\"number\",\"value\":2},{\"key\":\"concat_input\",\"type\":\"string\",\"value\":true},{\"key\":\"dropout_ratio\",\"type\":\"number\",\"value\":0.1},{\"key\":\"num_classes\",\"type\":\"number\",\"value\":19},{\"key\":\"align_corners\",\"type\":\"string\",\"value\":false}],\"name\":\"Decode_FCNHead\"}],\"name\":\"DecodeHead\"},{\"children\":[{\"children\":[],\"config\":[{\"key\":\"in_channels\",\"type\":\"number\",\"value\":1024},{\"key\":\"in_index\",\"type\":\"number\",\"value\":2},{\"key\":\"channels\",\"type\":\"number\",\"value\":256},{\"key\":\"num_convs\",\"type\":\"number\",\"value\":1},{\"key\":\"concat_input\",\"type\":\"string\",\"value\":false},{\"key\":\"dropout_ratio\",\"type\":\"number\",\"value\":0.1},{\"key\":\"num_classes\",\"type\":\"number\",\"value\":19},{\"key\":\"align_corners\",\"type\":\"string\",\"value\":false}],\"name\":\"Auxiliary_FCNHead\"}],\"name\":\"AuxiliaryHead\"},{\"children\":[{\"config\":[{\"key\":\"learning_rate\",\"type\":\"number\",\"value\":0.001}],\"name\":\"SGD\"},{\"config\":[{\"key\":\"learning_rate\",\"type\":\"number\",\"value\":0.001}],\"name\":\"ADAM\"}],\"name\":\"Optimizer\"},{\"children\":[{\"config\":[{\"key\":\"work_dir\",\"type\":\"string\",\"value\":\"work_dir/fasterrcnn_ap\"},{\"key\":\"batch_size\",\"type\":\"number\",\"value\":2},{\"key\":\"total_epochs\",\"type\":\"number\",\"value\":2}],\"name\":\"Runtime\"}],\"name\":\"Output\"}]","pipeline_config":"/data/model/tmp/1603245738455240281.json"}', 'harbor.sigsus.cn:8443/sz_gongdianju/apulistech/apulisvision:1.0.0', '', true, '/data/model-gallery/models/gpu/apulisvision/', '~/avisualis/', '~/avisualis/ObjectDetection', '/data/model-gallery/models/gpu/apulisvision/tools/train_det.py', 'work_dir/fasterrcnn_ap', '', 'nvidia_gpu_amd64', 1);
-
-
- INSERT INTO public.modelsets ( created_at, updated_at, deleted_at, name, description, creator, version, status, size, use, job_id, data_format, dataset_name, dataset_path, params, engine, precision, is_advance, code_path, param_path, output_path, startup_file, visual_path, evaluation_id, device_type, device_num) VALUES ( '2020-09-20 13:40:13.000000', '2020-09-20 03:40:13.000000', null, 'Segmentation', null, 'avisualis', '1.0', null, null, 'Avisualis_Model_Segmentation', null, null, null, null, '
- 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