vllm/tests/engine/output_processor/test_stop_checker.py

86 lines
2.9 KiB
Python

from unittest.mock import MagicMock
import pytest
from transformers import PreTrainedTokenizer
from vllm.engine.output_processor.stop_checker import StopChecker
from vllm.sampling_params import SamplingParams
from vllm.sequence import Logprob, Sequence, SequenceStatus
def sequence_with_eos(text: str, eos_token: str,
eos_token_id: int) -> Sequence:
"""
Create a Sequence that ends with an EOS token.
"""
seq = Sequence(
seq_id=0,
inputs={"prompt_token_ids": []},
block_size=16,
eos_token_id=eos_token_id,
)
seq.output_text = text + eos_token
offset = eos_token_id + 1
for i in range(offset, len(text) + offset):
seq.append_token_id(token_id=i, logprobs={i: Logprob(0.0)})
seq.append_token_id(token_id=eos_token_id,
logprobs={eos_token_id: Logprob(0.0)})
seq.status = SequenceStatus.RUNNING
return seq
@pytest.mark.parametrize(["text_wo_eos", "eos_token", "eos_token_id"], [
("This text ends with EOS token", "</s>", 2),
])
@pytest.mark.parametrize("ignore_eos", [True, False, None])
@pytest.mark.parametrize("include_stop_str_in_output", [True, False, None])
@pytest.mark.skip_global_cleanup
def test_stop_on_eos_token(text_wo_eos: str, eos_token: str, eos_token_id: int,
ignore_eos: bool, include_stop_str_in_output: bool):
"""
Test the behavior of the StopChecker's maybe_stop_sequence method
when an EOS token is encountered.
This test covers:
- When the EOS token should stop the sequence and be removed from the output
- When the EOS token should stop the sequence and be included in the output
- When the EOS token should be ignored, and the sequence continues
"""
tokenizer = MagicMock(spec=PreTrainedTokenizer)
get_tokenizer_for_seq = MagicMock(return_value=tokenizer)
stop_checker = StopChecker(max_model_len=1024,
get_tokenizer_for_seq=get_tokenizer_for_seq)
seq = sequence_with_eos(
text=text_wo_eos,
eos_token=eos_token,
eos_token_id=eos_token_id,
)
new_char_count = len(eos_token)
# Note that `stop` and `stop_token_ids` are not specified
sampling_params = SamplingParams(
min_tokens=1,
ignore_eos=ignore_eos,
include_stop_str_in_output=include_stop_str_in_output)
stop_checker.maybe_stop_sequence(
seq=seq,
new_char_count=new_char_count,
sampling_params=sampling_params,
)
if ignore_eos:
assert seq.status == SequenceStatus.RUNNING
assert seq.output_text == text_wo_eos + eos_token
elif include_stop_str_in_output:
assert seq.status == SequenceStatus.FINISHED_STOPPED
assert seq.output_text == text_wo_eos + eos_token
else:
assert seq.status == SequenceStatus.FINISHED_STOPPED
assert seq.output_text == text_wo_eos