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2023-11-16 4ace5a95b052d338947fc88809a440ccd55cf6b4

 funasr/bin/asr_inference_launch.py

@@ -462,18 +462,18 @@


def inference_paraformer_vad_punc(
        maxlenratio: float,
        minlenratio: float,
        batch_size: int,
        beam_size: int,
        ngpu: int,
        ctc_weight: float,
        lm_weight: float,
        penalty: float,
        log_level: Union[int, str],
        maxlenratio: float=0.0,
        minlenratio: float=0.0,
        batch_size: int=1,
        beam_size: int=1,
        ngpu: int=1,
        ctc_weight: float=0.0,
        lm_weight: float=0.0,
        penalty: float=0.0,
        log_level: Union[int, str]=logging.ERROR,
        # data_path_and_name_and_type,
        asr_train_config: Optional[str],
        asr_model_file: Optional[str],
        asr_train_config: Optional[str]=None,
        asr_model_file: Optional[str]=None,
        cmvn_file: Optional[str] = None,
        lm_train_config: Optional[str] = None,
        lm_file: Optional[str] = None,
@@ -487,7 +487,7 @@
        seed: int = 0,
        ngram_weight: float = 0.9,
        nbest: int = 1,
        num_workers: int = 1,
        num_workers: int = 0,
        vad_infer_config: Optional[str] = None,
        vad_model_file: Optional[str] = None,
        vad_cmvn_file: Optional[str] = None,
@@ -1098,18 +1098,18 @@


def inference_paraformer_online(
        maxlenratio: float,
        minlenratio: float,
        batch_size: int,
        beam_size: int,
        ngpu: int,
        ctc_weight: float,
        lm_weight: float,
        penalty: float,
        log_level: Union[int, str],
        maxlenratio: float=0.0,
        minlenratio: float=0.0,
        batch_size: int=1,
        beam_size: int=1,
        ngpu: int=1,
        ctc_weight: float=0.0,
        lm_weight: float=0.0,
        penalty: float=0.0,
        log_level: Union[int, str]=logging.ERROR,
        # data_path_and_name_and_type,
        asr_train_config: Optional[str],
        asr_model_file: Optional[str],
        asr_train_config: Optional[str]=None,
        asr_model_file: Optional[str]=None,
        cmvn_file: Optional[str] = None,
        lm_train_config: Optional[str] = None,
        lm_file: Optional[str] = None,