# SPDX-License-Identifier: Apache-2.0 """Test the different finish_reason="stop" situations during generation: 1. One of the provided stop strings 2. One of the provided stop tokens 3. The EOS token Run `pytest tests/engine/test_stop_reason.py`. """ import pytest import transformers from vllm import SamplingParams MODEL = "distilbert/distilgpt2" STOP_STR = "." SEED = 42 MAX_TOKENS = 1024 @pytest.fixture def vllm_model(vllm_runner): with vllm_runner(MODEL) as vllm_model: yield vllm_model def test_stop_reason(vllm_model, example_prompts): tokenizer = transformers.AutoTokenizer.from_pretrained(MODEL) stop_token_id = tokenizer.convert_tokens_to_ids(STOP_STR) llm = vllm_model.model # test stop token outputs = llm.generate(example_prompts, sampling_params=SamplingParams( ignore_eos=True, seed=SEED, max_tokens=MAX_TOKENS, stop_token_ids=[stop_token_id])) for output in outputs: output = output.outputs[0] assert output.finish_reason == "stop" assert output.stop_reason == stop_token_id # test stop string outputs = llm.generate(example_prompts, sampling_params=SamplingParams( ignore_eos=True, seed=SEED, max_tokens=MAX_TOKENS, stop=".")) for output in outputs: output = output.outputs[0] assert output.finish_reason == "stop" assert output.stop_reason == STOP_STR # test EOS token outputs = llm.generate(example_prompts, sampling_params=SamplingParams( seed=SEED, max_tokens=MAX_TOKENS)) for output in outputs: output = output.outputs[0] assert output.finish_reason == "length" or ( output.finish_reason == "stop" and output.stop_reason is None)