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50 lines
1.6 KiB
50 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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from yacs.config import CfgNode
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from deepspeech.exps.u2.model import U2Tester
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from deepspeech.exps.u2.model import U2Trainer
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from deepspeech.io.dataset import ManifestDataset
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from deepspeech.models.u2 import U2Model
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_C = CfgNode()
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_C.data = ManifestDataset.params()
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_C.collator =CfgNode(
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dict(
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augmentation_config="",
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unit_type="char",
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keep_transcription_text=False,
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batch_size=32, # batch size
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num_workers=0, # data loader workers
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sortagrad=False, # sorted in first epoch when True
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shuffle_method="batch_shuffle" # 'batch_shuffle', 'instance_shuffle'
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))
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_C.model = U2Model.params()
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_C.training = U2Trainer.params()
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_C.decoding = U2Tester.params()
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def get_cfg_defaults():
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"""Get a yacs CfgNode object with default values for my_project."""
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# Return a clone so that the defaults will not be altered
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# This is for the "local variable" use pattern
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config = _C.clone()
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config.set_new_allowed(True)
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return config
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