124 lines
3.4 KiB
Python
124 lines
3.4 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
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from vllm.transformers_utils.tokenizer import get_tokenizer
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from vllm.transformers_utils.tokenizer_base import (TokenizerBase,
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TokenizerRegistry)
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if TYPE_CHECKING:
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from vllm.entrypoints.chat_utils import ChatCompletionMessageParam
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class TestTokenizer(TokenizerBase):
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@classmethod
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def from_pretrained(cls, *args, **kwargs) -> "TestTokenizer":
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return TestTokenizer()
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@property
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def all_special_tokens_extended(self) -> List[str]:
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raise NotImplementedError()
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@property
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def all_special_tokens(self) -> List[str]:
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raise NotImplementedError()
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@property
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def all_special_ids(self) -> List[int]:
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raise NotImplementedError()
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@property
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def bos_token_id(self) -> int:
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return 0
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@property
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def eos_token_id(self) -> int:
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return 1
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@property
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def sep_token(self) -> str:
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raise NotImplementedError()
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@property
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def pad_token(self) -> str:
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raise NotImplementedError()
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@property
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def is_fast(self) -> bool:
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raise NotImplementedError()
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@property
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def vocab_size(self) -> int:
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raise NotImplementedError()
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@property
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def max_token_id(self) -> int:
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raise NotImplementedError()
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def __call__(
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self,
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text: Union[str, List[str], List[int]],
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text_pair: Optional[str] = None,
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add_special_tokens: bool = False,
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truncation: bool = False,
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max_length: Optional[int] = None,
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):
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raise NotImplementedError()
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def get_vocab(self) -> Dict[str, int]:
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raise NotImplementedError()
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def get_added_vocab(self) -> Dict[str, int]:
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raise NotImplementedError()
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def encode_one(
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self,
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text: str,
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truncation: bool = False,
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max_length: Optional[int] = None,
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) -> List[int]:
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raise NotImplementedError()
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def encode(self,
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text: str,
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add_special_tokens: Optional[bool] = None) -> List[int]:
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raise NotImplementedError()
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def apply_chat_template(self,
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messages: List["ChatCompletionMessageParam"],
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tools: Optional[List[Dict[str, Any]]] = None,
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**kwargs) -> List[int]:
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raise NotImplementedError()
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def convert_tokens_to_string(self, tokens: List[str]) -> str:
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raise NotImplementedError()
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def decode(self,
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ids: Union[List[int], int],
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skip_special_tokens: bool = True) -> str:
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raise NotImplementedError()
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def convert_ids_to_tokens(
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self,
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ids: List[int],
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skip_special_tokens: bool = True,
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) -> List[str]:
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raise NotImplementedError()
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def test_customized_tokenizer():
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TokenizerRegistry.register("test_tokenizer",
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"tests.tokenization.test_tokenizer_registry",
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"TestTokenizer")
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tokenizer = TokenizerRegistry.get_tokenizer("test_tokenizer")
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assert isinstance(tokenizer, TestTokenizer)
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assert tokenizer.bos_token_id == 0
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assert tokenizer.eos_token_id == 1
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tokenizer = get_tokenizer("test_tokenizer", tokenizer_mode="custom")
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assert isinstance(tokenizer, TestTokenizer)
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assert tokenizer.bos_token_id == 0
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assert tokenizer.eos_token_id == 1
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