[VLM] Support Piecewise CUDA Graph for Qwen2.5-VL (#13055)
Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com> Co-authored-by: Yuhao Yang <yhyang201@gmail.com>
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luoyuan.luo
Yuhao Yang
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67fca6b297
commit
af6bcadcf7
@@ -248,5 +248,46 @@ class TestPiecewiseCudaGraphFP8(CustomTestCase):
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print(f"MGSM Accuracy: {metrics['score']:.3f}")
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class TestPiecewiseCudaGraphQwen25VL(CustomTestCase):
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"""Test piecewise CUDA graph with Qwen2.5-VL-7B-Instruct model"""
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@classmethod
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def setUpClass(cls):
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cls.model = "Qwen/Qwen2.5-VL-7B-Instruct"
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=[
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"--enable-piecewise-cuda-graph",
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"--piecewise-cuda-graph-compiler",
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"eager",
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"--disable-radix-cache",
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],
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_gsm8k_accuracy(self):
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"""Test GSM8K accuracy with 8-shot setting"""
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num_examples = 2000
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="mgsm_en",
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num_examples=num_examples,
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num_threads=min(num_examples, 1024),
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)
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metrics = run_eval(args)
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print(f"GSM8K Accuracy: {metrics['score']:.3f}")
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self.assertGreaterEqual(metrics["score"], 0.70)
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if __name__ == "__main__":
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unittest.main()
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