wehub-resource-sync
49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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from dataclasses import dataclass, field
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from fairseq import file_utils
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from fairseq.data.encoders import register_bpe
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from fairseq.dataclass import FairseqDataclass
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@dataclass
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class SentencepieceConfig(FairseqDataclass):
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sentencepiece_model: str = field(
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default="???", metadata={"help": "path to sentencepiece model"}
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)
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@register_bpe("sentencepiece", dataclass=SentencepieceConfig)
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class SentencepieceBPE(object):
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def __init__(self, cfg):
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sentencepiece_model = file_utils.cached_path(cfg.sentencepiece_model)
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try:
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import sentencepiece as spm
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self.sp = spm.SentencePieceProcessor()
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self.sp.Load(sentencepiece_model)
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except ImportError:
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raise ImportError(
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"Please install sentencepiece with: pip install sentencepiece"
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)
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def encode(self, x: str) -> str:
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return " ".join(self.sp.EncodeAsPieces(x))
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def decode(self, x: str) -> str:
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return x.replace(" ", "").replace("\u2581", " ").strip()
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def is_beginning_of_word(self, x: str) -> bool:
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if x in ["<unk>", "<s>", "</s>", "<pad>"]:
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# special elements are always considered beginnings
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# HACK: this logic is already present in fairseq/tasks/masked_lm.py
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# but these special tokens are also contained in the sentencepiece
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# vocabulary which causes duplicate special tokens. This hack makes
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# sure that they are all taken into account.
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return True
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return x.startswith("\u2581")
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