53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
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"""Compare the outputs of HF and vLLM when using greedy sampling.
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This tests danube3 separately because its head size isn't supported on CPU yet.
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Run `pytest tests/models/test_danube3_4b.py`.
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"""
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import pytest
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from .utils import check_outputs_equal
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MODELS = ["h2oai/h2o-danube3-4b-base"]
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target_dtype = "half"
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("dtype", [target_dtype])
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@pytest.mark.parametrize("max_tokens", [32])
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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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with hf_runner(model, dtype=dtype) as hf_model:
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hf_outputs = hf_model.generate_greedy(example_prompts, max_tokens)
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with vllm_runner(model, dtype=dtype) as vllm_model:
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vllm_outputs = vllm_model.generate_greedy(example_prompts, max_tokens)
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check_outputs_equal(
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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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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("dtype", [target_dtype])
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def test_model_print(
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vllm_runner,
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model: str,
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dtype: str,
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) -> None:
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with vllm_runner(model, dtype=dtype) as vllm_model:
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# This test is for verifying whether the model's extra_repr
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# can be printed correctly.
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print(vllm_model.model.llm_engine.model_executor.driver_worker.
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model_runner.model)
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