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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.
- # ============================================================================
- """
- ##############export checkpoint file into air and onnx models#################
- python export.py
- """
- import argparse
- import numpy as np
-
- from mindspore import Tensor, load_checkpoint, load_param_into_net, export
-
- if __name__ == '__main__':
- parser = argparse.ArgumentParser(description='resnet export')
- parser.add_argument('--network_dataset', type=str, default='resnet50_cifar10', choices=['resnet50_cifar10',
- 'resnet50_imagenet2012',
- 'resnet101_imagenet2012',
- "se-resnet50_imagenet2012"],
- help='network and dataset name.')
- parser.add_argument('--ckpt_file', type=str, default='', help='resnet ckpt file.')
- parser.add_argument('--output_file', type=str, default='', help='resnet output air name.')
- args_opt = parser.parse_args()
-
- if args_opt.network_dataset == 'resnet50_cifar10':
- from src.config import config1 as config
- from src.resnet import resnet50 as resnet
- elif args_opt.network_dataset == 'resnet50_imagenet2012':
- from src.config import config2 as config
- from src.resnet import resnet50 as resnet
- elif args_opt.network_dataset == 'resnet101_imagenet2012':
- from src.config import config3 as config
- from src.resnet import resnet101 as resnet
- elif args_opt.network_dataset == 'se-resnet50_imagenet2012':
- from src.config import config4 as config
- from src.resnet import se_resnet50 as resnet
- else:
- raise ValueError("network and dataset is not support.")
-
- net = resnet(config.class_num)
-
- assert args_opt.ckpt_file is not None, "checkpoint_path is None."
-
- param_dict = load_checkpoint(args_opt.ckpt_file)
- load_param_into_net(net, param_dict)
-
- input_arr = Tensor(np.zeros([1, 3, 224, 224], np.float32))
- export(net, input_arr, file_name=args_opt.output_file, file_format="AIR")
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