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60 lines
2.8 KiB
60 lines
2.8 KiB
# Copyright 2020 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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"""
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##############export checkpoint file into air and onnx models#################
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python export.py
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"""
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import argparse
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import numpy as np
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from mindspore import Tensor
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from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='resnet export')
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parser.add_argument('--network_dataset', type=str, default='resnet50_cifar10', choices=['resnet50_cifar10',
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'resnet50_imagenet2012',
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'resnet101_imagenet2012',
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"se-resnet50_imagenet2012"],
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help='network and dataset name.')
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parser.add_argument('--ckpt_file', type=str, default='', help='resnet ckpt file.')
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parser.add_argument('--output_file', type=str, default='', help='resnet output air name.')
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args_opt = parser.parse_args()
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if args_opt.network_dataset == 'resnet50_cifar10':
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from src.config import config1 as config
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from src.resnet import resnet50 as resnet
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elif args_opt.network_dataset == 'resnet50_imagenet2012':
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from src.config import config2 as config
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from src.resnet import resnet50 as resnet
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elif args_opt.network_dataset == 'resnet101_imagenet2012':
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from src.config import config3 as config
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from src.resnet import resnet101 as resnet
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elif args_opt.network_dataset == 'se-resnet50_imagenet2012':
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from src.config import config4 as config
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from src.resnet import se_resnet50 as resnet
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else:
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raise ValueError("network and dataset is not support.")
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net = resnet(config.class_num)
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assert args_opt.ckpt_file is not None, "checkpoint_path is None."
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param_dict = load_checkpoint(args_opt.ckpt_file)
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load_param_into_net(net, param_dict)
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input_arr = Tensor(np.zeros([1, 3, 224, 224], np.float32))
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export(net, input_arr, file_name=args_opt.output_file, file_format="AIR")
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