[NVIDIA] [GDN] Add FlashInfer prefill support for SM100+ (Blackwell) (#22921)

This commit is contained in:
Kaixi Hou
2026-05-27 13:58:05 -07:00
committed by GitHub
parent 14f81a67d9
commit ddf0627254
4 changed files with 146 additions and 41 deletions
@@ -45,12 +45,6 @@ class TestQwen35FP4(CustomTestCase):
extra_args=base_args,
variant="Triton",
),
# TODO: Fix this and re-enable it
# ModelLaunchSettings(
# QWEN35_FP4_MODEL,
# extra_args=base_args + ["--linear-attn-decode-backend", "flashinfer"],
# variant="FlashInfer",
# ),
]
run_combined_tests(
@@ -0,0 +1,83 @@
import unittest
import torch
from sglang.test.accuracy_test_runner import AccuracyTestParams
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.run_combined_tests import run_combined_tests
from sglang.test.test_utils import (
CustomTestCase,
ModelLaunchSettings,
)
register_cuda_ci(est_time=720, stage="base-c", runner_config="4-gpu-b200")
QWEN35_FP4_MODEL = "nvidia/Qwen3.5-397B-A17B-NVFP4"
ACC_THRESHOLDS = {QWEN35_FP4_MODEL: {"gsm8k": 0.95}}
_cuda_major = int(torch.version.cuda.split(".")[0]) if torch.version.cuda else 0
_is_sm100_cuda13 = (
torch.cuda.is_available()
and torch.cuda.get_device_capability()[0] >= 10
and _cuda_major >= 13
)
@unittest.skipUnless(_is_sm100_cuda13, "requires SM100+ GPU and CUDA 13+")
class TestQwen35FP4FlashInfer(CustomTestCase):
def test_gsm8k(self):
base_args = [
"--tp-size",
"4",
"--chunked-prefill-size",
"2048",
"--mamba-scheduler-strategy",
"extra_buffer",
"--mamba-track-interval",
"128",
"--mamba-ssm-dtype",
"bfloat16",
"--max-running-requests",
"128",
"--reasoning-parser",
"qwen3",
"--attention-backend",
"trtllm_mha",
"--quantization",
"modelopt_fp4",
"--model-loader-extra-config",
'{"enable_multithread_load": true,"num_threads": 64}',
"--linear-attn-decode-backend",
"flashinfer",
"--linear-attn-prefill-backend",
"flashinfer",
]
variants = [
ModelLaunchSettings(
QWEN35_FP4_MODEL,
extra_args=base_args,
variant="FlashInfer",
),
]
run_combined_tests(
models=variants,
test_name="Qwen3.5-397B-A17B-NVFP4",
accuracy_params=AccuracyTestParams(
dataset="gsm8k",
baseline_accuracy=ACC_THRESHOLDS[QWEN35_FP4_MODEL]["gsm8k"],
num_examples=200,
num_threads=128,
max_tokens=16000,
thinking_mode="qwen3",
temperature=0.6,
top_p=0.95,
top_k=20,
),
)
if __name__ == "__main__":
unittest.main()