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46 lines
1.6 KiB
46 lines
1.6 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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import argparse
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import os
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import paddle
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from paddlespeech.audio.datasets import ESC50
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from paddlespeech.cls.models import cnn14
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from paddlespeech.cls.models import SoundClassifier
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# yapf: disable
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parser = argparse.ArgumentParser(__doc__)
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parser.add_argument("--checkpoint", type=str, required=True, help="Checkpoint of model.")
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parser.add_argument("--output_dir", type=str, default='./export', help="Path to save static model and its parameters.")
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args = parser.parse_args()
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# yapf: enable
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if __name__ == '__main__':
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model = SoundClassifier(
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backbone=cnn14(pretrained=False, extract_embedding=True),
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num_class=len(ESC50.label_list))
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model.set_state_dict(paddle.load(args.checkpoint))
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model.eval()
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model = paddle.jit.to_static(
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model,
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input_spec=[
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paddle.static.InputSpec(
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shape=[None, None, 64], dtype=paddle.float32)
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])
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# Save in static graph model.
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paddle.jit.save(model, os.path.join(args.output_dir, "inference"))
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