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Signed-off-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com> Co-authored-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com> Co-authored-by: Nicolò Lucchesi <nlucches@redhat.com> Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com> Co-authored-by: Michael Goin <michael@neuralmagic.com>
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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"""Compare the outputs of HF and vLLM when using beam search.
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Run `pytest tests/samplers/test_beam_search.py`.
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"""
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import pytest
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@pytest.fixture(autouse=True)
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def v1(run_with_both_engines):
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"""We can run both engines for this test."""
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pass
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# FIXME(zhuohan): The test can not pass if we:
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# 1. Increase max_tokens to 256.
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# 2. Increase beam_width to 8.
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# 3. Use the model "huggyllama/llama-7b".
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MAX_TOKENS = [64]
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BEAM_WIDTHS = [4]
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MODELS = ["TinyLlama/TinyLlama-1.1B-Chat-v1.0"]
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@pytest.mark.skip_v1 # FIXME: This fails on V1 right now.
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("dtype", ["half"])
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@pytest.mark.parametrize("max_tokens", MAX_TOKENS)
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@pytest.mark.parametrize("beam_width", BEAM_WIDTHS)
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def test_beam_search_single_input(
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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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beam_width: int,
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) -> None:
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example_prompts = example_prompts[:1]
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with hf_runner(model, dtype=dtype) as hf_model:
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hf_outputs = hf_model.generate_beam_search(example_prompts, beam_width,
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max_tokens)
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with vllm_runner(model, dtype=dtype) as vllm_model:
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vllm_outputs = vllm_model.generate_beam_search(example_prompts,
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beam_width, max_tokens)
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for i in range(len(example_prompts)):
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hf_output_ids, hf_output_texts = hf_outputs[i]
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vllm_output_ids, vllm_output_texts = vllm_outputs[i]
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for i, (hf_text,
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vllm_text) in enumerate(zip(hf_output_texts,
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vllm_output_texts)):
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print(f">>>{i}-th hf output:")
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print(hf_text)
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print(f">>>{i}-th vllm output:")
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print(vllm_text)
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assert len(hf_output_ids) == len(vllm_output_ids)
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for j in range(len(hf_output_ids)):
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assert hf_output_ids[j] == vllm_output_ids[j], (
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f"Test{i} output{j}:\nHF: {hf_output_ids}\n"
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f"vLLM: {vllm_output_ids}")
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