[Intel GPU] fix triton-mla attention on XPU by limiting max_kv_splits to 8 which is default (#28646)

Signed-off-by: P V R K Jyothendra Varma <polisetty.v.r.k.jyothendra.varma@intel.com>
Co-authored-by: Ma Mingfei <mingfei.ma@intel.com>
This commit is contained in:
Polisetty V R K Jyothendra Varma
2026-06-24 09:06:13 +08:00
committed by GitHub
co-authored by Ma Mingfei
parent 7454735be9
commit 5338e44483
2 changed files with 69 additions and 1 deletions
@@ -0,0 +1,66 @@
"""
Usage:
python3 -m unittest test_triton_attention_backend.TestTritonAttentionBackend.test_mla_triton_attention_backend
"""
import unittest
from functools import wraps
from sglang.test.ci.ci_register import register_xpu_ci
from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_TEST_FP8_WITH_MOE,
CustomTestCase,
run_bench_serving,
)
register_xpu_ci(est_time=600, suite="stage-b-test-1-gpu-xpu")
def triton_attention_benchmark(extra_args=None, mem_fraction_static="0.84"):
def decorator(test_func):
@wraps(test_func)
def wrapper(self):
common_args = [
"--disable-radix-cache",
"--trust-remote-code",
"--tp-size",
"1",
"--mem-fraction-static",
str(mem_fraction_static),
"--context-length",
"2050",
"--attention-backend",
"triton",
]
full_args = common_args + (extra_args or [])
model = test_func(self)
res = run_bench_serving(
model,
256,
float("inf"),
full_args,
random_input_len=1024,
random_output_len=1024,
need_warmup=False,
)
return wrapper
return decorator
class TestTritonAttentionBackend(CustomTestCase):
@triton_attention_benchmark(
[
"--json-model-override-args",
'{"num_hidden_layers": 4}',
],
)
def test_mla_triton_attention_backend(self):
return DEFAULT_MODEL_NAME_FOR_TEST_FP8_WITH_MOE
if __name__ == "__main__":
unittest.main()