test_cached_tokenizer.py

from copy import deepcopy
import os

from transformers import AutoTokenizer

from vllm.transformers_utils.tokenizer import get_cached_tokenizer
from ..utils import models_path_prefix


def test_cached_tokenizer():
    reference_tokenizer = AutoTokenizer.from_pretrained(os.path.join(models_path_prefix, "gpt2"))
    reference_tokenizer.add_special_tokens({"cls_token": "<CLS>"})
    reference_tokenizer.add_special_tokens(
        {"additional_special_tokens": ["<SEP>"]})
    cached_tokenizer = get_cached_tokenizer(deepcopy(reference_tokenizer))

    assert reference_tokenizer.encode("prompt") == cached_tokenizer.encode(
        "prompt")
    assert set(reference_tokenizer.all_special_ids) == set(
        cached_tokenizer.all_special_ids)
    assert set(reference_tokenizer.all_special_tokens) == set(
        cached_tokenizer.all_special_tokens)
    assert set(reference_tokenizer.all_special_tokens_extended) == set(
        cached_tokenizer.all_special_tokens_extended)