feat: Support flashinfer_cutedsl MoE runner with flashinfer alltoall backend (#22669)

Co-authored-by: Trevor Morris <tmorris@nvidia.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Sam (Kesen Li)
2026-05-20 00:36:26 -07:00
committed by GitHub
co-authored by Trevor Morris Claude Opus 4.7
parent bdacb1be4d
commit 044649c23a
6 changed files with 262 additions and 52 deletions
@@ -0,0 +1,89 @@
"""Test CuteDSL FP4 MoE + FlashInfer alltoall on B200 with DP attention.
Config: Qwen3.5-397B-A17B-NVFP4, B200x4, EP=4 DP=4, cutedsl + flashinfer a2a.
"""
import unittest
from types import SimpleNamespace
import torch
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
register_cuda_ci(est_time=600, stage="extra-b", runner_config="4-gpu-b200")
MODEL = "nvidia/Qwen3.5-397B-A17B-NVFP4"
SKIP_TEST = torch.cuda.get_device_capability() < (10, 0)
SKIP_REASON = "Requires Blackwell (B200, sm_100a) or above."
@unittest.skipIf(SKIP_TEST, SKIP_REASON)
class TestCuteDslFlashinferA2A(CustomTestCase):
"""CuteDSL FP4 MoE + FlashInfer one-sided alltoall + DP4 EP4 on B200."""
@classmethod
def setUpClass(cls):
cls.model = MODEL
cls.base_url = DEFAULT_URL_FOR_TEST
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH * 3,
other_args=[
"--trust-remote-code",
"--quantization",
"modelopt_fp4",
"--tp",
"4",
"--ep-size",
"4",
"--dp",
"4",
"--enable-dp-attention",
"--enable-dp-lm-head",
"--moe-runner-backend",
"flashinfer_cutedsl",
"--moe-a2a-backend",
"flashinfer",
"--max-prefill-tokens",
"4096",
"--disable-radix-cache",
"--disable-flashinfer-autotune",
"--watchdog-timeout",
"900",
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_gsm8k(self):
args = SimpleNamespace(
base_url=self.base_url,
eval_name="gsm8k",
num_examples=1319,
max_tokens=10240,
repeat=1,
num_threads=1319,
num_shots=8,
temperature=0.6,
top_p=0.95,
top_k=20,
)
metrics = run_eval(args)
print(metrics)
self.assertGreater(metrics["score"], 0.90)
if __name__ == "__main__":
unittest.main()