[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>
This commit is contained in:
Yuan Luo
2025-11-20 10:23:44 +08:00
committed by GitHub
co-authored by luoyuan.luo Yuhao Yang
parent 67fca6b297
commit af6bcadcf7
10 changed files with 710 additions and 29 deletions
+41
View File
@@ -248,5 +248,46 @@ class TestPiecewiseCudaGraphFP8(CustomTestCase):
print(f"MGSM Accuracy: {metrics['score']:.3f}")
class TestPiecewiseCudaGraphQwen25VL(CustomTestCase):
"""Test piecewise CUDA graph with Qwen2.5-VL-7B-Instruct model"""
@classmethod
def setUpClass(cls):
cls.model = "Qwen/Qwen2.5-VL-7B-Instruct"
cls.base_url = DEFAULT_URL_FOR_TEST
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--enable-piecewise-cuda-graph",
"--piecewise-cuda-graph-compiler",
"eager",
"--disable-radix-cache",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_gsm8k_accuracy(self):
"""Test GSM8K accuracy with 8-shot setting"""
num_examples = 2000
args = SimpleNamespace(
base_url=self.base_url,
model=self.model,
eval_name="mgsm_en",
num_examples=num_examples,
num_threads=min(num_examples, 1024),
)
metrics = run_eval(args)
print(f"GSM8K Accuracy: {metrics['score']:.3f}")
self.assertGreaterEqual(metrics["score"], 0.70)
if __name__ == "__main__":
unittest.main()