2025-02-02 14:58:18 -05:00
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# SPDX-License-Identifier: Apache-2.0
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2025-01-01 21:56:46 +09:00
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from vllm import LLM, SamplingParams
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def test_cascade_attention(example_system_message, monkeypatch):
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prompt = "\n<User>: Implement fibonacci sequence in Python.\n<Claude>:"
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with monkeypatch.context() as m:
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m.setenv("VLLM_USE_V1", "1")
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llm = LLM(model="Qwen/Qwen2-1.5B-Instruct")
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sampling_params = SamplingParams(temperature=0.0, max_tokens=100)
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# No cascade attention.
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single_prompt = [example_system_message + prompt]
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responses = llm.generate(single_prompt, sampling_params)
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ref_output = responses[0].outputs[0].text
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# (Probably) Use cascade attention.
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prompts = [example_system_message + prompt] * 64
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responses = llm.generate(prompts, sampling_params)
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for response in responses:
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assert response.outputs[0].text == ref_output
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