|
- # 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 ed
-
- # config for resent50, cifar10
- # joinAI
- config1 = ed({
- "class_num": 10,
- "batch_size": 32,
- "loss_scale": 1024,
- "momentum": 0.9,
- "weight_decay": 1e-4,
- "epoch_size": 90,
- "pretrain_epoch_size": 0,
- "save_checkpoint": False,
- "save_checkpoint_epochs": 5,
- "keep_checkpoint_max": 100,
- "save_checkpoint_path": "/ghome/yands/model/checkPoints/resnet/part_3_3_test1",
- "warmup_epochs": 5,
- "lr_decay_mode": "poly",
- # "lr_decay_mode": "pytorch_cosine",
- "lr_init": 0.01,
- "lr_end": 0.00001,
- "lr_max": 0.1,
- })
-
- # config for resnet50, imagenet2012
- config2 = ed({
- "class_num": 1001,
- "batch_size": 256,
- "loss_scale": 1024,
- "momentum": 0.9,
- "weight_decay": 1e-4,
- "epoch_size": 90,
- "pretrain_epoch_size": 0,
- "save_checkpoint": True,
- "save_checkpoint_epochs": 5,
- "keep_checkpoint_max": 10,
- "save_checkpoint_path": "./",
- "warmup_epochs": 0,
- "lr_decay_mode": "linear",
- "use_label_smooth": True,
- "label_smooth_factor": 0.1,
- "lr_init": 0,
- "lr_max": 0.8,
- "lr_end": 0.0
- })
-
- # config for resent101, imagenet2012
- config3 = ed({
- "class_num": 1001,
- "batch_size": 32,
- "loss_scale": 1024,
- "momentum": 0.9,
- "weight_decay": 1e-4,
- "epoch_size": 120,
- "pretrain_epoch_size": 0,
- "save_checkpoint": True,
- "save_checkpoint_epochs": 5,
- "keep_checkpoint_max": 10,
- "save_checkpoint_path": "./",
- "warmup_epochs": 0,
- "lr_decay_mode": "cosine",
- "use_label_smooth": True,
- "label_smooth_factor": 0.1,
- "lr": 0.1
- })
-
- # config for se-resnet50, imagenet2012
- config4 = ed({
- "class_num": 1001,
- "batch_size": 32,
- "loss_scale": 1024,
- "momentum": 0.9,
- "weight_decay": 1e-4,
- "epoch_size": 28,
- "train_epoch_size": 24,
- "pretrain_epoch_size": 0,
- "save_checkpoint": True,
- "save_checkpoint_epochs": 4,
- "keep_checkpoint_max": 10,
- "save_checkpoint_path": "./",
- "warmup_epochs": 3,
- "lr_decay_mode": "cosine",
- "use_label_smooth": True,
- "label_smooth_factor": 0.1,
- "lr_init": 0.0,
- "lr_max": 0.3,
- "lr_end": 0.0001
- })
|