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PaddleSpeech/paddlespeech/s2t/exps/u2_st/bin/train.py

60 lines
1.8 KiB

3 years ago
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Trainer for U2 model."""
import cProfile
import os
from paddle import distributed as dist
from yacs.config import CfgNode
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from paddlespeech.s2t.exps.u2_st.model import U2STTrainer as Trainer
from paddlespeech.s2t.training.cli import default_argument_parser
from paddlespeech.s2t.utils.utility import print_arguments
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def main_sp(config, args):
exp = Trainer(config, args)
exp.setup()
exp.run()
def main(config, args):
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if args.ngpu > 1:
dist.spawn(main_sp, args=(config, args), nprocs=args.ngpu)
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else:
main_sp(config, args)
if __name__ == "__main__":
parser = default_argument_parser()
args = parser.parse_args()
print_arguments(args, globals())
# https://yaml.org/type/float.html
config = CfgNode(new_allowed=True)
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if args.config:
config.merge_from_file(args.config)
if args.opts:
config.merge_from_list(args.opts)
config.freeze()
print(config)
if args.dump_config:
with open(args.dump_config, 'w') as f:
print(config, file=f)
# Setting for profiling
pr = cProfile.Profile()
pr.runcall(main, config, args)
pr.dump_stats(os.path.join(args.output, 'train.profile'))