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- # Copyright 2021 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, onnx, mindir models"""
- import argparse
- import numpy as np
-
- import mindspore.common.dtype as ms
- from mindspore import Tensor, load_checkpoint, load_param_into_net, export, context
-
- from src.oneStep import OneStepCell
- from src.model import wide_resnet50_2
-
- parser = argparse.ArgumentParser(description='export')
-
- parser.add_argument('--device_id', type=int, default=0, help='Device id')
- parser.add_argument('--ckpt_file', type=str, required=True, help='Checkpoint file path')
- parser.add_argument('--file_name', type=str, default='PathCore', help='output file name')
- parser.add_argument('--file_format', type=str, choices=['AIR', 'ONNX', 'MINDIR'], default='MINDIR', help='file format')
- parser.add_argument('--device_target', type=str, choices=['Ascend', 'GPU', 'CPU'], default='Ascend',
- help='device target')
-
- args = parser.parse_args()
-
- if __name__ == '__main__':
- context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target)
-
- if args.device_target == "Ascend":
- context.set_context(device_id=args.device_id)
-
- assert args.ckpt_file is not None, "args.ckpt_file is None."
-
- # network
- network = wide_resnet50_2()
- param_dict = load_checkpoint(args.ckpt_file)
- load_param_into_net(network, param_dict)
-
- for p in network.trainable_params():
- p.requires_grad = False
-
- model = OneStepCell(network)
-
- input_arr = Tensor(np.ones([1, 3, 224, 224]), ms.float32)
- export(model, input_arr, file_name=args.file_name, file_format=args.file_format)
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