update

speech_asr

2023-03-31 e45039c77b7e479f9560fe31358ede75caa9367f

update

 funasr/tasks/abs_task.py

@@ -464,6 +464,12 @@
            default=sys.maxsize,
            help="The maximum number update step to train",
        )
        parser.add_argument(
            "--batch_interval",
            type=int,
            default=10000,
            help="The batch interval for saving model.",
        )
        group.add_argument(
            "--patience",
            type=int_or_none,
@@ -1576,13 +1582,18 @@
    ) -> AbsIterFactory:
        assert check_argument_types()

        if args.frontend_conf is not None and "fs" in args.frontend_conf:
            dest_sample_rate = args.frontend_conf["fs"]
        else:
            dest_sample_rate = 16000

        dataset = ESPnetDataset(
            iter_options.data_path_and_name_and_type,
            float_dtype=args.train_dtype,
            preprocess=iter_options.preprocess_fn,
            max_cache_size=iter_options.max_cache_size,
            max_cache_fd=iter_options.max_cache_fd,
            dest_sample_rate=args.frontend_conf["fs"],
            dest_sample_rate=dest_sample_rate,
        )
        cls.check_task_requirements(
            dataset, args.allow_variable_data_keys, train=iter_options.train

 funasr/tasks/asr.py

@@ -412,12 +412,6 @@
            default="13_15",
            help="The range of noise decibel level.",
        )
        parser.add_argument(
            "--batch_interval",
            type=int,
            default=10000,
            help="The batch interval for saving model.",
        )

        for class_choices in cls.class_choices_list:
            # Append --<name> and --<name>_conf.