# Made by KingNish import json from typing import List, Optional, Tuple from tokenizers import pre_tokenizers, processors from transformers.tokenization_utils_fast import PreTrainedTokenizerFast from transformers.utils import logging logger = logging.get_logger(__name__) VOCAB_FILES_NAMES = {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"} class HelpingAITokenizerFast(PreTrainedTokenizerFast): vocab_files_names = VOCAB_FILES_NAMES model_input_names = ["input_ids", "attention_mask"] def __init__( self, vocab_file=None, merges_file=None, tokenizer_file=None, unk_token="<|endoftext|>", bos_token="<|im_start|>", eos_token="<|im_end|>", pad_token="<|im_end|>", add_bos_token=False, add_eos_token=False, add_prefix_space=False, **kwargs, ): super().__init__( vocab_file, merges_file, tokenizer_file=tokenizer_file, unk_token=unk_token, bos_token=bos_token, eos_token=eos_token, pad_token=pad_token, add_bos_token=add_bos_token, add_eos_token=add_eos_token, add_prefix_space=add_prefix_space, **kwargs, ) self._add_bos_token = add_bos_token self._add_eos_token = add_eos_token self.update_post_processor() pre_tok_state = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()) if pre_tok_state.get("add_prefix_space", add_prefix_space) != add_prefix_space: pre_tok_class = getattr(pre_tokenizers, pre_tok_state.pop("type")) pre_tok_state["add_prefix_space"] = add_prefix_space self.backend_tokenizer.pre_tokenizer = pre_tok_class(**pre_tok_state) self.add_prefix_space = add_prefix_space @property def add_eos_token(self): return self._add_eos_token @property def add_bos_token(self): return self._add_bos_token @add_eos_token.setter def add_eos_token(self, value): self._add_eos_token = value self.update_post_processor() @add_bos_token.setter def add_bos_token(self, value): self._add_bos_token = value self.update_post_processor() def update_post_processor(self): bos = self.bos_token bos_token_id = self.bos_token_id if bos is None and self.add_bos_token: raise ValueError("add_bos_token = True but bos_token = None") eos = self.eos_token eos_token_id = self.eos_token_id if eos is None and self.add_eos_token: raise ValueError("add_eos_token = True but eos_token = None") single = f"{(bos+':0 ') if self.add_bos_token else ''}$A:0{(' '+eos+':0') if self.add_eos_token else ''}" pair = f"{single}{(' '+bos+':1') if self.add_bos_token else ''} $B:1{(' '+eos+':1') if self.add_eos_token else ''}" special_tokens = [] if self.add_bos_token: special_tokens.append((bos, bos_token_id)) if self.add_eos_token: special_tokens.append((eos, eos_token_id)) self._tokenizer.post_processor = processors.TemplateProcessing( single=single, pair=pair, special_tokens=special_tokens ) def get_special_tokens_mask( self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None, already_has_special_tokens: bool = False ) -> List[int]: if already_has_special_tokens: return super().get_special_tokens_mask( token_ids_0=token_ids_0, token_ids_1=token_ids_1, already_has_special_tokens=True ) bos_token_id = [1] if self.add_bos_token else [] eos_token_id = [1] if self.add_eos_token else [] if token_ids_1 is None: return bos_token_id + ([0] * len(token_ids_0)) + eos_token_id return ( bos_token_id + ([0] * len(token_ids_0)) + eos_token_id + bos_token_id + ([0] * len(token_ids_1)) + eos_token_id ) def build_inputs_with_special_tokens(self, token_ids_0, token_ids_1=None): bos_token_id = [self.bos_token_id] if self.add_bos_token else [] eos_token_id = [self.eos_token_id] if self.add_eos_token else [] output = bos_token_id + token_ids_0 + eos_token_id if token_ids_1 is not None: output = output + bos_token_id + token_ids_1 + eos_token_id return output def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> Tuple[str]: files = self._tokenizer.model.save(save_directory, name=filename_prefix) return tuple(files) @property def default_chat_template(self): return "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"