forked from mindspore-Ecosystem/mindspore
!7020 add psenet export to transform checkpoint to air
Merge pull request !7020 from anzhengqi/add-psenet-export
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# 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 models#################
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"""
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import argparse
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import numpy as np
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import mindspore as ms
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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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from src.config import config
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from src.ETSNET.etsnet import ETSNet
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='checkpoint export to air')
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parser.add_argument('--checkpoint', type=str, default='', help='checkpoint of psenet (Default: None)')
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args_opt = parser.parse_args()
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net = ETSNet(config)
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param_dict = load_checkpoint(args_opt.checkpoint)
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load_param_into_net(net, param_dict)
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input_arr = Tensor(np.random.uniform(0.0, 1.0, size=[1, 3, config.INFER_LONG_SIZE, config.INFER_LONG_SIZE]),
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ms.float32)
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export(net, input_arr, file_name=config.geir_filename)
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@ -52,4 +52,7 @@ config = ed({
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"TEST_DATASET_SIZE": 500,
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"TEST_BUFFER_SIZE": 4,
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"TEST_DROP_REMAINDER": False,
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# air config
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'air_filename': 'psenet_bs_1.air',
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})
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