Files
sglang/test/srt/test_piecewise_cuda_graph_2_gpu.py

58 lines
1.5 KiB
Python

import unittest
from sglang.srt.utils import kill_process_tree
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
SimpleNamespace,
popen_launch_server,
)
class TestPiecewiseCudaGraphQwen3OmniMOE(CustomTestCase):
"""Test piecewise CUDA graph with Qwen3-Omni-30B-A3B-Instruct model"""
@classmethod
def setUpClass(cls):
cls.model = "Qwen/Qwen3-Omni-30B-A3B-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",
"--tp=2",
],
)
@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()