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kongdeqiang

5 天以前 28ccfbfc51068a663a80764e14074df5edf2b5ba

 funasr/tokenizer/sentencepiece_tokenizer.py

@@ -8,11 +8,10 @@
from funasr.tokenizer.abs_tokenizer import BaseTokenizer
from funasr.register import tables


@tables.register("tokenizer_classes", "SentencepiecesTokenizer")
class SentencepiecesTokenizer(BaseTokenizer):
    def __init__(self, bpemodel: Union[Path, str],
                 **kwargs
                 ):
    def __init__(self, bpemodel: Union[Path, str], **kwargs):
        super().__init__(**kwargs)
        self.bpemodel = str(bpemodel)
        # NOTE(kamo):
@@ -21,6 +20,7 @@
        # "TypeError: can't pickle SwigPyObject objects",
        # when giving it as argument of "multiprocessing.Process()".
        self.sp = None
        self._build_sentence_piece_processor()

    def __repr__(self):
        return f'{self.__class__.__name__}(model="{self.bpemodel}")'
@@ -39,10 +39,19 @@
        self._build_sentence_piece_processor()
        return self.sp.DecodePieces(list(tokens))

    def encode(self, line: str) -> List[int]:
    def encode(self, line: str, **kwargs) -> List[int]:
        self._build_sentence_piece_processor()
        return self.sp.EncodeAsIds(line)

    def decode(self, line: List[int]):
    def decode(self, line: List[int], **kwargs):
        self._build_sentence_piece_processor()
        return self.sp.DecodeIds(line)
        return self.sp.DecodeIds(line)

    def get_vocab_size(self):
        return self.sp.GetPieceSize()

    def ids2tokens(self, *args, **kwargs):
        return self.decode(*args, **kwargs)

    def tokens2ids(self, *args, **kwargs):
        return self.encode(*args, **kwargs)