84 lines
2.2 KiB
Python
84 lines
2.2 KiB
Python
"""
|
|
Usage:
|
|
python3 -m unittest test_intel_xpu_backend.TestIntelXPUBackend.test_latency_qwen_model
|
|
"""
|
|
|
|
import gc
|
|
import unittest
|
|
from functools import wraps
|
|
|
|
from sglang.test.test_utils import (
|
|
DEFAULT_SMALL_MODEL_NAME_FOR_TEST_BASE,
|
|
DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN,
|
|
CustomTestCase,
|
|
is_in_ci,
|
|
run_bench_one_batch,
|
|
)
|
|
|
|
|
|
def _cleanup_xpu_memory():
|
|
gc.collect()
|
|
try:
|
|
import torch
|
|
|
|
if hasattr(torch, "xpu") and torch.xpu.is_available():
|
|
torch.xpu.synchronize()
|
|
torch.xpu.empty_cache()
|
|
except Exception:
|
|
# Best-effort cleanup only.
|
|
pass
|
|
|
|
|
|
def intel_xpu_benchmark(extra_args=None, min_throughput=None):
|
|
def decorator(test_func):
|
|
@wraps(test_func)
|
|
def wrapper(self):
|
|
_cleanup_xpu_memory()
|
|
common_args = [
|
|
"--disable-radix",
|
|
"--trust-remote-code",
|
|
"--mem-fraction-static",
|
|
"0.4",
|
|
"--batch-size",
|
|
"1",
|
|
"--device",
|
|
"xpu",
|
|
]
|
|
ci_args = ["--input", "64", "--output", "4"] if is_in_ci() else []
|
|
full_args = common_args + ci_args + (extra_args or [])
|
|
|
|
model = test_func(self)
|
|
try:
|
|
prefill_latency, decode_throughput, decode_latency = (
|
|
run_bench_one_batch(model, full_args)
|
|
)
|
|
finally:
|
|
_cleanup_xpu_memory()
|
|
|
|
print(f"{model=}")
|
|
print(f"{prefill_latency=}")
|
|
print(f"{decode_throughput=}")
|
|
print(f"{decode_latency=}")
|
|
|
|
if is_in_ci() and min_throughput is not None:
|
|
self.assertGreater(decode_throughput, min_throughput)
|
|
|
|
return wrapper
|
|
|
|
return decorator
|
|
|
|
|
|
class TestIntelXPUBackend(CustomTestCase):
|
|
|
|
@intel_xpu_benchmark(min_throughput=10)
|
|
def test_latency_qwen_model(self):
|
|
return DEFAULT_SMALL_MODEL_NAME_FOR_TEST_QWEN
|
|
|
|
@intel_xpu_benchmark(["--attention-backend", "intel_xpu", "--page-size", "128"])
|
|
def test_attention_backend(self):
|
|
return DEFAULT_SMALL_MODEL_NAME_FOR_TEST_BASE
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|