68 lines
2.6 KiB
Python
68 lines
2.6 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
import pickle
|
|
from copy import deepcopy
|
|
|
|
import pytest
|
|
from transformers import AutoTokenizer
|
|
|
|
from vllm.tokenizers import TokenizerLike
|
|
from vllm.tokenizers.hf import (
|
|
ThreadSafeHFTokenizerMixin,
|
|
get_cached_tokenizer,
|
|
maybe_make_thread_pool,
|
|
)
|
|
|
|
|
|
@pytest.mark.parametrize("model_id", ["openai-community/gpt2", "zai-org/chatglm3-6b"])
|
|
def test_cached_tokenizer(model_id: str):
|
|
reference_tokenizer = AutoTokenizer.from_pretrained(
|
|
model_id, trust_remote_code=True
|
|
)
|
|
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))
|
|
_check_consistency(cached_tokenizer, reference_tokenizer)
|
|
|
|
pickled_tokenizer = pickle.dumps(cached_tokenizer)
|
|
unpickled_tokenizer = pickle.loads(pickled_tokenizer)
|
|
_check_consistency(unpickled_tokenizer, reference_tokenizer)
|
|
|
|
|
|
def _check_consistency(target: TokenizerLike, expected: TokenizerLike):
|
|
assert isinstance(target, type(expected))
|
|
|
|
# Cached attributes
|
|
assert target.all_special_ids == expected.all_special_ids
|
|
assert target.all_special_tokens == expected.all_special_tokens
|
|
assert target.get_vocab() == expected.get_vocab()
|
|
assert len(target) == len(expected)
|
|
|
|
# Other attributes
|
|
assert getattr(target, "padding_side", None) == getattr(
|
|
expected, "padding_side", None
|
|
)
|
|
|
|
assert target.encode("prompt") == expected.encode("prompt")
|
|
|
|
|
|
@pytest.mark.parametrize("model_id", ["openai-community/gpt2"])
|
|
def test_thread_pool_tokenizer_pickle(model_id: str):
|
|
"""Regression test for issue #45433: the thread-pool tokenizer wrapper
|
|
reconstructs through maybe_make_thread_pool on unpickling, which used to
|
|
fall off the end and return None."""
|
|
reference_tokenizer = AutoTokenizer.from_pretrained(model_id)
|
|
|
|
pooled_tokenizer = maybe_make_thread_pool(deepcopy(reference_tokenizer))
|
|
assert pooled_tokenizer is not None
|
|
assert isinstance(pooled_tokenizer, ThreadSafeHFTokenizerMixin)
|
|
|
|
unpickled_tokenizer = pickle.loads(pickle.dumps(pooled_tokenizer))
|
|
assert unpickled_tokenizer is not None
|
|
assert isinstance(unpickled_tokenizer, ThreadSafeHFTokenizerMixin)
|
|
assert unpickled_tokenizer.encode("prompt") == reference_tokenizer.encode("prompt")
|
|
|
|
# Idempotence: wrapping an already-pooled tokenizer returns it unchanged.
|
|
assert maybe_make_thread_pool(pooled_tokenizer) is pooled_tokenizer
|