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Running
on
Zero
File size: 1,986 Bytes
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# Copyright (c) Meta Platforms, Inc. and affiliates.
import logging
import os
try:
from sentencepiece import SentencePieceProcessor
has_sp = True
except ImportError:
has_sp = False
from bytelatent.tokenizers.abstract_tokenizer import Tokenizer
logger = logging.getLogger(__name__)
class SentencePieceTokenizer(Tokenizer):
def __init__(
self, model_path: str, add_bos: bool = True, add_eos: bool = True
) -> None:
assert os.path.isfile(model_path), model_path
self.sp_model = SentencePieceProcessor(model_file=model_path)
logger.info(f"Reloaded SentencePiece model from {model_path}")
# BOS / EOS token IDs
self.n_words: int = self.sp_model.vocab_size()
self.bos_id: int = self.sp_model.bos_id()
self.eos_id: int = self.sp_model.eos_id()
self.pad_id: int = self.sp_model.pad_id()
self.add_bos = add_bos
self.add_eos = add_eos
logger.info(
f"#words: {self.n_words} - BOS ID: {self.bos_id} - EOS ID: {self.eos_id}"
)
assert self.sp_model.vocab_size() == self.sp_model.get_piece_size()
def get_vocab_size(self) -> int:
return self.n_words
def encode(self, s: str, add_bos: bool | None = None, add_eos: bool | None = None):
if add_bos is None:
add_bos = self.add_bos
if add_eos is None:
add_eos = self.add_eos
assert type(s) is str
tokens = (
[self.bos_id] * add_bos + self.sp_model.encode(s) + [self.eos_id] * add_eos
)
return tokens
def decode(self, tokens: list[int]):
return self.sp_model.decode(tokens)
def get_token_offsets(
self, text: str, tokens: list[int] | None = None
) -> tuple[list[str], list[int]]:
pieces = self.sp_model.encode_as_immutable_proto(text).pieces
substrs = [p.surface for p in pieces]
offsets = [p.begin for p in pieces]
return substrs, offsets
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