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[Fix] Fix and rename flashmla CI test (#6045)

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This commit is contained in:
Baizhou Zhang
2025-05-06 13:25:15 -07:00
committed by GitHub
parent c9abd7be01
commit bdd17998e6
3 changed files with 87 additions and 65 deletions
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2
test/srt/run_suite.py
View File

@@ -51,7 +51,7 @@ suites = {
TestFile("test_mla_int8_deepseek_v3.py", 389),
TestFile("test_mla_flashinfer.py", 395),
TestFile("test_mla_fp8.py", 153),
TestFile("test_flash_mla_attention_backend.py", 300),
TestFile("test_flashmla.py", 300),
TestFile("test_no_chunked_prefill.py", 108),
TestFile("test_no_overlap_scheduler.py", 216),
TestFile("test_openai_server.py", 149),

64
test/srt/test_flash_mla_attention_backend.py
View File

@@ -1,64 +0,0 @@
"""
Usage:
python3 -m unittest test_flash_mla_attention_backend.TestFlashMLAAttnBackend.test_mmlu
"""
import unittest
from types import SimpleNamespace
from sglang.srt.utils import kill_process_tree
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_MLA_MODEL_NAME_FOR_TEST,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
is_in_ci,
popen_launch_server,
run_bench_one_batch,
)
class TestFlashMLAAttnBackend(unittest.TestCase):
def test_latency(self):
output_throughput = run_bench_one_batch(
DEFAULT_MLA_MODEL_NAME_FOR_TEST,
[
"--attention-backend",
"flashmla",
"--enable-torch-compile",
"--cuda-graph-max-bs",
"16",
"--trust-remote-code",
],
)
if is_in_ci():
self.assertGreater(output_throughput, 153)
def test_mmlu(self):
model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
base_url = DEFAULT_URL_FOR_TEST
process = popen_launch_server(
model,
base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=["--attention-backend", "flashmla", "--trust-remote-code"],
)
try:
args = SimpleNamespace(
base_url=base_url,
model=model,
eval_name="mmlu",
num_examples=64,
num_threads=32,
)
metrics = run_eval(args)
self.assertGreaterEqual(metrics["score"], 0.2)
finally:
kill_process_tree(process.pid)
if __name__ == "__main__":
unittest.main()

86
test/srt/test_flashmla.py Normal file
View File

@@ -0,0 +1,86 @@
"""
Usage:
python3 test/srt/test_flashmla.py
"""
import os
import unittest
from types import SimpleNamespace
import torch
from sglang.srt.utils import kill_process_tree
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_TEST_MLA,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
is_in_ci,
popen_launch_server,
run_bench_one_batch,
)
class TestFlashMLAAttnBackend(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = ["--trust-remote-code"]
if torch.cuda.is_available() and torch.version.cuda:
other_args.extend(
[
"--enable-torch-compile",
"--cuda-graph-max-bs",
"2",
"--attention-backend",
"flashmla",
]
)
cls.process = popen_launch_server(
cls.model,
cls.base_url,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=other_args,
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=200,
max_new_tokens=512,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval_few_shot_gsm8k(args)
print(metrics)
self.assertGreater(metrics["accuracy"], 0.62)
class TestFlashMLAAttnLatency(unittest.TestCase):
def test_latency(self):
output_throughput = run_bench_one_batch(
DEFAULT_MODEL_NAME_FOR_TEST_MLA,
[
"--attention-backend",
"flashmla",
"--enable-torch-compile",
"--cuda-graph-max-bs",
"16",
"--trust-remote-code",
],
)
if is_in_ci():
self.assertGreater(output_throughput, 100)
if __name__ == "__main__":
unittest.main()