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125 lines
3.3 KiB
Python
125 lines
3.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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from typing import TYPE_CHECKING, Any
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from vllm.transformers_utils.tokenizer import get_tokenizer
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from vllm.transformers_utils.tokenizer_base import TokenizerBase, 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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@property
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def truncation_side(self) -> str:
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raise NotImplementedError()
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def __call__(
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self,
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text: str | list[str] | list[int],
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text_pair: str | None = None,
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add_special_tokens: bool = False,
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truncation: bool = False,
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max_length: int | None = 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: int | None = None,
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) -> list[int]:
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raise NotImplementedError()
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def encode(self, text: str, add_special_tokens: bool | None = None) -> list[int]:
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raise NotImplementedError()
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def apply_chat_template(
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self,
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messages: list["ChatCompletionMessageParam"],
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tools: list[dict[str, Any]] | None = None,
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**kwargs,
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) -> 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, ids: list[int] | int, 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(
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"test_tokenizer", "tests.tokenization.test_tokenizer_registry", "TestTokenizer"
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)
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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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