1102bef219
Co-authored-by: rsnm2 <rshaw@neuralmagic.com> Co-authored-by: Robert Shaw <114415538+robertgshaw2-neuralmagic@users.noreply.github.com>
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
"""Compare the with and without prefix caching.
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Run `pytest tests/prefix_caching/test_prefix_caching.py`.
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"""
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import pytest
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from tests.conftest import cleanup
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from vllm import LLM
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MODEL_LEN_LEN = [
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# Example models with sliding window.
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("bigcode/starcoder2-3b", 4096, 16384),
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# ("mistralai/Mistral-7B-v0.1", 4096, 32768), << OOM in CI
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# Confirm model with sliding window works.
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# config has "use_sliding_window": false
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("Qwen/Qwen1.5-0.5B-Chat", 32768, 32768),
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# config has no sliding window attribute.
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("TinyLlama/TinyLlama-1.1B-Chat-v1.0", 2048, 2048),
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]
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@pytest.mark.parametrize("model_len_len", MODEL_LEN_LEN)
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def test_disable_sliding_window(model_len_len, ):
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model, sliding_len, full_len = model_len_len
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vllm_disabled_model = LLM(model, disable_sliding_window=True)
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vllm_disabled_model.generate("Hi my name is")
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model_config = vllm_disabled_model.llm_engine.model_config
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assert model_config.max_model_len == sliding_len, (
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"Max len expected to equal sliding_len of %s, but got %s", sliding_len,
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model_config.max_model_len)
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del vllm_disabled_model
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cleanup()
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vllm_enabled_model = LLM(model, disable_sliding_window=False)
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vllm_enabled_model.generate("Hi my name is")
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model_config = vllm_enabled_model.llm_engine.model_config
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assert model_config.max_model_len == full_len, (
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"Max len expected to equal full_len of %s, but got %s", full_len,
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model_config.max_model_len)
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del vllm_enabled_model
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cleanup()
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