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41 lines
1.7 KiB
41 lines
1.7 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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##############evaluate trained models#################
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python export.py
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'''
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import numpy as np
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from mindspore.train.serialization import export
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from mindspore import Tensor
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from mindspore.train.serialization import load_checkpoint, load_param_into_net
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from src.musictagger import MusicTaggerCNN
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from src.config import music_cfg as cfg
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if __name__ == "__main__":
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network = MusicTaggerCNN(in_classes=[1, 128, 384, 768, 2048],
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kernel_size=[3, 3, 3, 3, 3],
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padding=[0] * 5,
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maxpool=[(2, 4), (4, 5), (3, 8), (4, 8)],
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has_bias=True)
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param_dict = load_checkpoint(cfg.checkpoint_path + "/" + cfg.model_name)
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load_param_into_net(network, param_dict)
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input_data = np.random.uniform(0.0, 1.0, size=[1, 1, 96, 1366]).astype(np.float32)
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export(network,
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Tensor(input_data),
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filename="{}/{}.air".format(cfg.checkpoint_path,
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cfg.model_name[:-5]),
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file_format="AIR")
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