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@ -19,6 +19,7 @@ from funasr.text.phoneme_tokenizer import g2p_choices
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from funasr.torch_utils.model_summary import model_summary
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from funasr.torch_utils.model_summary import model_summary
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from funasr.torch_utils.pytorch_version import pytorch_cudnn_version
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from funasr.torch_utils.pytorch_version import pytorch_cudnn_version
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from funasr.torch_utils.set_all_random_seed import set_all_random_seed
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from funasr.torch_utils.set_all_random_seed import set_all_random_seed
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from funasr.utils.nested_dict_action import NestedDictAction
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from funasr.utils.prepare_data import prepare_data
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from funasr.utils.prepare_data import prepare_data
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from funasr.utils.types import str2bool
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from funasr.utils.types import str2bool
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from funasr.utils.types import str_or_none
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from funasr.utils.types import str_or_none
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@ -302,6 +303,32 @@ def get_parser():
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help="Apply preprocessing to data or not",
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help="Apply preprocessing to data or not",
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)
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)
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# optimization related
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parser.add_argument(
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"--optim",
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type=lambda x: x.lower(),
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default="adam",
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help="The optimizer type",
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)
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parser.add_argument(
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"--optim_conf",
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action=NestedDictAction,
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default=dict(),
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help="The keyword arguments for optimizer",
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)
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parser.add_argument(
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"--scheduler",
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type=lambda x: str_or_none(x.lower()),
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default=None,
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help="The lr scheduler type",
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)
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parser.add_argument(
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"--scheduler_conf",
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action=NestedDictAction,
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default=dict(),
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help="The keyword arguments for lr scheduler",
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)
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# most task related
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# most task related
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parser.add_argument(
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parser.add_argument(
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"--init",
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"--init",
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