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5.87 kB
| # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from typing import Dict, List, Optional, Union | |
| from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec | |
| __all__ = ['ByteLevelProcessor', 'ByteLevelTokenizer'] | |
| class ByteLevelProcessor: | |
| """ | |
| A very basic tokenization and detokenization class for use with byte-level | |
| tokenization. | |
| """ | |
| def detokenize(self, tokens: List[str]) -> str: | |
| """ | |
| Detokenize a list of tokens into a string. | |
| """ | |
| return ' '.join(tokens) | |
| def tokenize(self, text: str) -> List[str]: | |
| """ | |
| Tokenize a string into a list of tokens. | |
| """ | |
| return list(text) | |
| def normalize(self, text: str) -> str: | |
| """ | |
| Normalize a string. | |
| """ | |
| return text | |
| class ByteLevelTokenizer(TokenizerSpec): | |
| """ | |
| A byte-level tokenizer that encodes text as UTF-8 bytes with user control over the EOS, BOS, and PAD | |
| tokens as well as the vocabulary size and a mapping of other special tokens to their IDs. | |
| """ | |
| def __init__( | |
| self, | |
| special_tokens: Optional[Union[Dict[str, str], List[str]]] = None, | |
| vocab_size: int = 512, | |
| _eos_id: int = 0, | |
| _pad_id: int = 1, | |
| _bos_id: int = None, | |
| ): | |
| """A byte-level tokenizer that encodes text as UTF-8 bytes. | |
| This tokenizer treats each byte as a token, with a default vocabulary size of 512 to accommodate | |
| UTF-8 byte values (0-255) plus special tokens. It can handle arbitrary text input by encoding | |
| it into bytes. | |
| Args: | |
| special_tokens: Dictionary or list of special tokens to add to the vocabulary. | |
| These tokens will be assigned IDs at the end of the vocabulary. | |
| Defaults to None. | |
| vocab_size: Size of the vocabulary, should be at least 256 to handle all byte values. | |
| Special tokens will be added after this size. | |
| Defaults to 512. | |
| _eos_id: ID to use for the end-of-sequence token. | |
| Defaults to 0. | |
| _pad_id: ID to use for the padding token. | |
| Defaults to 1. | |
| _bos_id: ID to use for the beginning-of-sequence token. | |
| Defaults to None. | |
| """ | |
| self._eos_id = _eos_id | |
| self._pad_id = _pad_id | |
| self._bos_id = _bos_id | |
| self.special_token_to_id = { | |
| self.pad_id: self.pad_id, | |
| self.bos_id: self.bos_id, | |
| self.eos_id: self.eos_id, | |
| } | |
| # Track special byte-tokens at end of vocabulary. | |
| self.vocab_size = vocab_size if special_tokens is None else vocab_size + len(special_tokens) | |
| self.special_start = self.vocab_size | |
| special_tokens = {} if special_tokens is None else special_tokens | |
| for tok in special_tokens: | |
| self.special_start -= 1 | |
| self.special_token_to_id[tok] = self.special_start | |
| self.id_to_special_token = {v: k for k, v in self.special_token_to_id.items()} | |
| # no distinction between tokens and ids. | |
| def text_to_tokens(self, text): | |
| """ | |
| Convert a text to a list of tokens. | |
| """ | |
| return self.text_to_ids(text) | |
| def tokens_to_text(self, tokens): | |
| """ | |
| Convert a list of tokens to a text. | |
| """ | |
| return self.ids_to_text(tokens) | |
| def text_to_ids(self, text): | |
| """ | |
| Convert a text to a list of IDs. | |
| """ | |
| return list(text.encode('utf-8')) | |
| def ids_to_text(self, ids): | |
| """ | |
| Convert a list of IDs to a text. | |
| """ | |
| # remove special tokens. | |
| ids = [x for x in ids if x < self.special_start] | |
| return bytes(ids).decode('utf-8', errors='ignore').rstrip() | |
| def tokens_to_ids(self, tokens): | |
| """ | |
| Convert a list of tokens to a list of IDs. | |
| """ | |
| if isinstance(tokens, str): | |
| tokens = [tokens] | |
| ids = [] | |
| for token in tokens: | |
| ids.append(self.token_to_id(token)) | |
| return ids | |
| def ids_to_tokens(self, ids): | |
| """ | |
| Convert a list of IDs to a list of tokens. | |
| """ | |
| if isinstance(ids, int): | |
| ids = [ids] | |
| tokens = [] | |
| for id in ids: | |
| tokens.append(self.id_to_token(id)) | |
| return tokens | |
| def token_to_id(self, token): | |
| """ | |
| Convert a token to its corresponding ID. | |
| """ | |
| if token in self.special_token_to_id: | |
| return self.special_token_to_id[token] | |
| else: | |
| return token | |
| def id_to_token(self, id): | |
| """ | |
| Convert an ID to its corresponding token. | |
| """ | |
| if id < self.special_start: | |
| return id | |
| else: | |
| return self.id_to_special_token[id] | |
| def pad_id(self): | |
| """ | |
| Get the padding ID. | |
| """ | |
| return self._pad_id | |
| def bos_id(self): | |
| """ | |
| Get the beginning-of-sequence ID. | |
| """ | |
| return self._bos_id | |
| def eos_id(self): | |
| """ | |
| Get the end-of-sequence ID. | |
| """ | |
| return self._eos_id | |
| def unk_id(self): | |
| """ | |
| Get the unknown ID. | |
| """ | |
| return 259 # unused | |