update repo

嘉渊

2023-05-11 4e37a5fda20f0878b593b8ba2b9ea46db63743b5

 funasr/tasks/punctuation.py

@@ -14,10 +14,9 @@

from funasr.datasets.collate_fn import CommonCollateFn
from funasr.datasets.preprocessor import PuncTrainTokenizerCommonPreprocessor
from funasr.punctuation.abs_model import AbsPunctuation
from funasr.punctuation.espnet_model import ESPnetPunctuationModel
from funasr.punctuation.target_delay_transformer import TargetDelayTransformer
from funasr.punctuation.vad_realtime_transformer import VadRealtimeTransformer
from funasr.train.abs_model import PunctuationModel
from funasr.models.target_delay_transformer import TargetDelayTransformer
from funasr.models.vad_realtime_transformer import VadRealtimeTransformer
from funasr.tasks.abs_task import AbsTask
from funasr.text.phoneme_tokenizer import g2p_choices
from funasr.torch_utils.initialize import initialize
@@ -31,7 +30,6 @@
punc_choices = ClassChoices(
    "punctuation",
    classes=dict(target_delay=TargetDelayTransformer, vad_realtime=VadRealtimeTransformer),
    type_check=AbsPunctuation,
    default="target_delay",
)

@@ -79,7 +77,7 @@
        group.add_argument(
            "--model_conf",
            action=NestedDictAction,
            default=get_default_kwargs(ESPnetPunctuationModel),
            default=get_default_kwargs(PunctuationModel),
            help="The keyword arguments for model class.",
        )

@@ -183,7 +181,7 @@
        return retval

    @classmethod
    def build_model(cls, args: argparse.Namespace) -> ESPnetPunctuationModel:
    def build_model(cls, args: argparse.Namespace) -> PunctuationModel:
        assert check_argument_types()
        if isinstance(args.token_list, str):
            with open(args.token_list, encoding="utf-8") as f:
@@ -218,7 +216,7 @@
        # Assume the last-id is sos_and_eos
        if "punc_weight" in args.model_conf:
            args.model_conf.pop("punc_weight")
        model = ESPnetPunctuationModel(punc_model=punc, vocab_size=vocab_size, punc_weight=punc_weight_list, **args.model_conf)
        model = PunctuationModel(punc_model=punc, vocab_size=vocab_size, punc_weight=punc_weight_list, **args.model_conf)

        # FIXME(kamo): Should be done in model?
        # 3. Initialize