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52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
"""Compare the outputs of HF and vLLM when using greedy sampling.
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This test only tests small models. Big models such as 7B should be tested from
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test_big_models.py because it could use a larger instance to run tests.
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Run `pytest tests/models/test_models.py`.
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"""
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import pytest
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MODELS = [
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"facebook/opt-125m",
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"gpt2",
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"bigcode/tiny_starcoder_py",
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"EleutherAI/pythia-70m",
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"bigscience/bloom-560m",
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"microsoft/phi-2",
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"stabilityai/stablelm-3b-4e1t",
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# "allenai/OLMo-1B", # Broken
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"bigcode/starcoder2-3b",
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]
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("dtype", ["float"])
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@pytest.mark.parametrize("max_tokens", [96])
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def test_models(
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hf_runner,
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vllm_runner,
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example_prompts,
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model: str,
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dtype: str,
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max_tokens: int,
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) -> None:
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# To pass the small model tests, we need full precision.
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assert dtype == "float"
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hf_model = hf_runner(model, dtype=dtype)
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hf_outputs = hf_model.generate_greedy(example_prompts, max_tokens)
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del hf_model
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vllm_model = vllm_runner(model, dtype=dtype)
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vllm_outputs = vllm_model.generate_greedy(example_prompts, max_tokens)
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del vllm_model
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for i in range(len(example_prompts)):
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hf_output_ids, hf_output_str = hf_outputs[i]
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vllm_output_ids, vllm_output_str = vllm_outputs[i]
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assert hf_output_str == vllm_output_str, (
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f"Test{i}:\nHF: {hf_output_str!r}\nvLLM: {vllm_output_str!r}")
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assert hf_output_ids == vllm_output_ids, (
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f"Test{i}:\nHF: {hf_output_ids}\nvLLM: {vllm_output_ids}")
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