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https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
commit
2a69e1984b
@ -464,6 +464,12 @@ class AbsTask(ABC):
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default=sys.maxsize,
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help="The maximum number update step to train",
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)
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parser.add_argument(
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"--batch_interval",
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type=int,
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default=10000,
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help="The batch interval for saving model.",
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)
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group.add_argument(
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"--patience",
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type=int_or_none,
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@ -1576,13 +1582,18 @@ class AbsTask(ABC):
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) -> AbsIterFactory:
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assert check_argument_types()
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if args.frontend_conf is not None and "fs" in args.frontend_conf:
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dest_sample_rate = args.frontend_conf["fs"]
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else:
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dest_sample_rate = 16000
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dataset = ESPnetDataset(
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iter_options.data_path_and_name_and_type,
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float_dtype=args.train_dtype,
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preprocess=iter_options.preprocess_fn,
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max_cache_size=iter_options.max_cache_size,
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max_cache_fd=iter_options.max_cache_fd,
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dest_sample_rate=args.frontend_conf["fs"],
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dest_sample_rate=dest_sample_rate,
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)
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cls.check_task_requirements(
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dataset, args.allow_variable_data_keys, train=iter_options.train
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@ -412,12 +412,6 @@ class ASRTask(AbsTask):
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default="13_15",
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help="The range of noise decibel level.",
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)
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parser.add_argument(
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"--batch_interval",
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type=int,
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default=10000,
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help="The batch interval for saving model.",
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)
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for class_choices in cls.class_choices_list:
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# Append --<name> and --<name>_conf.
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