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102 lines
3.0 KiB
102 lines
3.0 KiB
# Copyright (c) 2022 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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"""Trainer for wavlm model."""
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import cProfile
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import os
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from yacs.config import CfgNode
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from paddlespeech.s2t.exps.wavlm.model import WavLMASRTrainer as Trainer
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from paddlespeech.s2t.training.cli import default_argument_parser
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# from paddlespeech.utils.argparse import print_arguments
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import distutils.util
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def add_arguments(argname, type, default, help, argparser, **kwargs):
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"""Add argparse's argument.
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Usage:
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.. code-block:: python
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parser = argparse.ArgumentParser()
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add_argument("name", str, "Jonh", "User name.", parser)
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args = parser.parse_args()
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"""
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type = distutils.util.strtobool if type == bool else type
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argparser.add_argument(
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"--" + argname,
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default=default,
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type=type,
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help=help + ' Default: %(default)s.',
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**kwargs)
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def print_arguments(args, info=None):
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"""Print argparse's arguments.
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Usage:
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.. code-block:: python
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parser = argparse.ArgumentParser()
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parser.add_argument("name", default="Jonh", type=str, help="User name.")
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args = parser.parse_args()
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print_arguments(args)
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:param args: Input argparse.Namespace for printing.
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:type args: argparse.Namespace
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"""
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filename = ""
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if info:
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filename = info["__file__"]
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filename = os.path.basename(filename)
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print(f"----------- {filename} Configuration Arguments -----------")
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for arg, value in sorted(vars(args).items()):
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print("%s: %s" % (arg, value))
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print("-----------------------------------------------------------")
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def main_sp(config, args):
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exp = Trainer(config, args)
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exp.setup()
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exp.run()
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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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parser.add_argument(
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'--resume', type=str, default="", nargs="?", help='resume ckpt path.')
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args = parser.parse_args()
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print_arguments(args, globals())
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# https://yaml.org/type/float.html
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config = CfgNode(new_allowed=True)
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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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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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# Setting for profiling
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pr = cProfile.Profile()
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pr.runcall(main, config, args)
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pr.dump_stats(os.path.join(args.output, 'train.profile'))
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