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75 lines
3.0 KiB
75 lines
3.0 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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import argparse
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def default_argument_parser():
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r"""A simple yet genral argument parser for experiments with parakeet.
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This is used in examples with parakeet. And it is intended to be used by
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other experiments with parakeet. It requires a minimal set of command line
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arguments to start a training script.
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The ``--config`` and ``--opts`` are used for overwrite the deault
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configuration.
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The ``--data`` and ``--output`` specifies the data path and output path.
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Resuming training from existing progress at the output directory is the
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intended default behavior.
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The ``--checkpoint_path`` specifies the checkpoint to load from.
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The ``--device`` and ``--nprocs`` specifies how to run the training.
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See Also
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--------
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parakeet.training.experiment
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Returns
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-------
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argparse.ArgumentParser
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the parser
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"""
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parser = argparse.ArgumentParser()
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# yapf: disable
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# data and output
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parser.add_argument("--config", metavar="FILE", help="path of the config file to overwrite to default config with.")
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parser.add_argument("--dump-config", metavar="FILE", help="dump config to yaml file.")
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# parser.add_argument("--data", metavar="DATA_DIR", help="path to the datatset.")
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parser.add_argument("--output", metavar="OUTPUT_DIR", help="path to save checkpoint and logs.")
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# load from saved checkpoint
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parser.add_argument("--checkpoint_path", type=str, help="path of the checkpoint to load")
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# save jit model to
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parser.add_argument("--export_path", type=str, help="path of the jit model to save")
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# save asr result to
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parser.add_argument("--result_file", type=str, help="path of save the asr result")
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# running
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parser.add_argument("--device", type=str, default='gpu', choices=["cpu", "gpu"],
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help="device type to use, cpu and gpu are supported.")
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parser.add_argument("--nprocs", type=int, default=1, help="number of parallel processes to use.")
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# overwrite extra config and default config
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# parser.add_argument("--opts", nargs=argparse.REMAINDER,
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# help="options to overwrite --config file and the default config, passing in KEY VALUE pairs")
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parser.add_argument("--opts", type=str, default=[], nargs='+',
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help="options to overwrite --config file and the default config, passing in KEY VALUE pairs")
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# yapd: enable
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return parser
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