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39 lines
1.5 KiB
39 lines
1.5 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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"""export"""
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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 import context
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from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
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from src.openposenet import OpenPoseNet
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parser = argparse.ArgumentParser(description='checkpoint export')
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parser.add_argument('--checkpoint_path', type=str, default=None, help='Checkpoint file path')
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args_opt = parser.parse_args()
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if __name__ == '__main__':
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context.set_context(mode=context.GRAPH_MODE, save_graphs=False)
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# define net
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net = OpenPoseNet()
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# load checkpoint
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param_dict = load_checkpoint(args_opt.checkpoint_path)
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load_param_into_net(net, param_dict)
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inputs = np.random.uniform(0.0, 1.0, size=[1, 3, 368, 368]).astype(np.float32)
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export(net, Tensor(inputs), file_name="openpose.air", file_format='AIR')
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