update

嘉渊

2023-04-24 d5df169021cd053f88bfd49213a9d86711d234ea

update

 funasr/build_utils/build_args.py

@@ -10,7 +10,7 @@

def build_args(args, extra_task_params):
    parser = argparse.ArgumentParser("Task related config")
    if args.task_name == "asr":
    # if args.task_name == "asr":
        from funasr.build_utils.build_asr_model import class_choices_list
        for class_choices in class_choices_list:
            class_choices.add_arguments(parser)
@@ -45,45 +45,45 @@
            help="The file path of noise scp file.",
        )

    elif args.task_name == "pretrain":
        from funasr.build_utils.build_pretrain_model import class_choices_list
        for class_choices in class_choices_list:
            class_choices.add_arguments(parser)
        parser.add_argument(
            "--input_size",
            type=int_or_none,
            default=None,
            help="The number of input dimension of the feature",
        )

    elif args.task_name == "lm":
        from funasr.build_utils.build_lm_model import class_choices_list
        for class_choices in class_choices_list:
            class_choices.add_arguments(parser)

    elif args.task_name == "punc":
        from funasr.build_utils.build_punc_model import class_choices_list
        for class_choices in class_choices_list:
            class_choices.add_arguments(parser)

    elif args.task_name == "vad":
        from funasr.build_utils.build_vad_model import class_choices_list
        for class_choices in class_choices_list:
            class_choices.add_arguments(parser)
        parser.add_argument(
            "--input_size",
            type=int_or_none,
            default=None,
            help="The number of input dimension of the feature",
        )

    elif args.task_name == "diar":
        from funasr.build_utils.build_diar_model import class_choices_list
        for class_choices in class_choices_list:
            class_choices.add_arguments(parser)

    else:
        raise NotImplementedError("Not supported task: {}".format(args.task_name))
    # elif args.task_name == "pretrain":
    #     from funasr.build_utils.build_pretrain_model import class_choices_list
    #     for class_choices in class_choices_list:
    #         class_choices.add_arguments(parser)
    #     parser.add_argument(
    #         "--input_size",
    #         type=int_or_none,
    #         default=None,
    #         help="The number of input dimension of the feature",
    #     )
    #
    # elif args.task_name == "lm":
    #     from funasr.build_utils.build_lm_model import class_choices_list
    #     for class_choices in class_choices_list:
    #         class_choices.add_arguments(parser)
    #
    # elif args.task_name == "punc":
    #     from funasr.build_utils.build_punc_model import class_choices_list
    #     for class_choices in class_choices_list:
    #         class_choices.add_arguments(parser)
    #
    # elif args.task_name == "vad":
    #     from funasr.build_utils.build_vad_model import class_choices_list
    #     for class_choices in class_choices_list:
    #         class_choices.add_arguments(parser)
    #     parser.add_argument(
    #         "--input_size",
    #         type=int_or_none,
    #         default=None,
    #         help="The number of input dimension of the feature",
    #     )
    #
    # elif args.task_name == "diar":
    #     from funasr.build_utils.build_diar_model import class_choices_list
    #     for class_choices in class_choices_list:
    #         class_choices.add_arguments(parser)
    #
    # else:
    #     raise NotImplementedError("Not supported task: {}".format(args.task_name))

    task_args = parser.parse_args(extra_task_params)
    return task_args