350f9e107f
Since #4335 was merged, I've noticed that the definition of ServerRunner in the tests is the same as in the test for OpenAI API. I have moved the class to the test utilities to avoid code duplication. (Although it only has been repeated twice so far, I will add another similar test suite in #4200 which would duplicate the code a third time) Also, I have moved the test utilities file (test_utils.py) to under the test directory (tests/utils.py), since none of its code is actually used in the main package. Note that I have added __init__.py to each test subpackage and updated the ray.init() call in the test utilities file in order to relative import tests/utils.py.
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
"""Compare the outputs of HF and vLLM for Mistral models using greedy sampling.
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Run `pytest tests/models/test_mistral.py`.
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"""
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import pytest
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from .utils import check_logprobs_close
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MODELS = [
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"mistralai/Mistral-7B-Instruct-v0.1",
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]
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("dtype", ["bfloat16"])
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@pytest.mark.parametrize("max_tokens", [64])
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@pytest.mark.parametrize("num_logprobs", [5])
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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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num_logprobs: int,
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) -> None:
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# TODO(sang): Sliding window should be tested separately.
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hf_model = hf_runner(model, dtype=dtype)
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hf_outputs = hf_model.generate_greedy_logprobs_limit(
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example_prompts, max_tokens, num_logprobs)
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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_logprobs(example_prompts,
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max_tokens,
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num_logprobs)
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del vllm_model
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check_logprobs_close(
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outputs_0_lst=hf_outputs,
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outputs_1_lst=vllm_outputs,
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name_0="hf",
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name_1="vllm",
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)
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