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59 lines
2.0 KiB
59 lines
2.0 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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"""Evaluation for DeepSpeech2 model."""
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from deepspeech.exps.deepspeech2.config import get_cfg_defaults
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from deepspeech.exps.deepspeech2.model import DeepSpeech2ExportTester as ExportTester
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from deepspeech.training.cli import default_argument_parser
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from deepspeech.utils.utility import print_arguments
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def main_sp(config, args):
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exp = ExportTester(config, args)
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with exp.eval():
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exp.setup()
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exp.run_test()
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def main(config, args):
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main_sp(config, args)
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if __name__ == "__main__":
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parser = default_argument_parser()
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# save asr result to
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parser.add_argument(
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"--result_file", type=str, help="path of save the asr result")
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#load jit model from
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parser.add_argument(
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"--export_path", type=str, help="path of the jit model to save")
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parser.add_argument(
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"--model_type", type=str, default='offline', help='offline/online')
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args = parser.parse_args()
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print_arguments(args, globals())
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print("model_type:{}".format(args.model_type))
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# https://yaml.org/type/float.html
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config = get_cfg_defaults(args.model_type)
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if args.config:
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config.merge_from_file(args.config)
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if args.opts:
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config.merge_from_list(args.opts)
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config.freeze()
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print(config)
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if args.dump_config:
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with open(args.dump_config, 'w') as f:
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print(config, file=f)
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main(config, args)
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