
Signed-off-by: sibi <85477603+t-sibiraj@users.noreply.github.com> Signed-off-by: Aaron Pham <contact@aarnphm.xyz> Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com> Co-authored-by: Aaron Pham <contact@aarnphm.xyz>
76 lines
2.1 KiB
Python
76 lines
2.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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"""
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This file test accuracy of the vLLM server via LMEval.
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It uses local-completions, which interacts with vLLM
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through the OAI API with N concurrent connections.
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This simulates real work usage of the API and makes
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sure that the zmq frontend mp RPC message passing and
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AsyncLLMEngine are working correctly.
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"""
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import lm_eval
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import pytest
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from vllm.platforms import current_platform
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MODEL_NAME = "Qwen/Qwen2-1.5B-Instruct"
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NUM_CONCURRENT = 500
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TASK = "gsm8k"
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FILTER = "exact_match,strict-match"
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RTOL = 0.03
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EXPECTED_VALUE = 0.58
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def run_test(more_args=None):
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"""Run the end to end accuracy test."""
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model_args = f"pretrained={MODEL_NAME},max_model_len=4096"
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if more_args is not None:
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model_args = "{},{}".format(model_args, more_args)
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results = lm_eval.simple_evaluate(
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model="vllm",
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model_args=model_args,
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tasks="gsm8k",
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batch_size="auto",
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)
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measured_value = results["results"][TASK][FILTER]
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assert (measured_value - RTOL < EXPECTED_VALUE
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and measured_value + RTOL > EXPECTED_VALUE
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), f"Expected: {EXPECTED_VALUE} | Measured: {measured_value}"
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# TODO: [AlexM] Fix it with new CI/CD tests
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TPU_TP_TEST_STR = "" #"tensor_parallel_size=4"
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@pytest.mark.skipif(not current_platform.is_cuda()
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and not current_platform.is_tpu(),
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reason="V1 is currently only supported on CUDA and TPU")
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def test_lm_eval_accuracy_v1_engine(monkeypatch: pytest.MonkeyPatch):
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"""Run with the V1 Engine."""
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with monkeypatch.context() as m:
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m.setenv("VLLM_USE_V1", "1")
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more_args = None
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if current_platform.is_tpu():
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# Limit compilation time for TPU V1
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more_args = "max_num_seqs=64"
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# Add TP test (if provided)
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if TPU_TP_TEST_STR:
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more_args += ",{}".format(TPU_TP_TEST_STR)
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run_test(more_args)
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def test_lm_eval_accuracy_v0_engine(monkeypatch: pytest.MonkeyPatch):
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"""Run with the V0 Engine."""
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with monkeypatch.context() as m:
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m.setenv("VLLM_USE_V1", "0")
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run_test()
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