57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
import unittest
|
|
from types import SimpleNamespace
|
|
|
|
from sglang.srt.environ import envs
|
|
from sglang.srt.utils import get_device_sm, 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,
|
|
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
DEFAULT_URL_FOR_TEST,
|
|
popen_launch_server,
|
|
)
|
|
|
|
|
|
@unittest.skipIf(get_device_sm() < 100, "Test requires CUDA SM 100 or higher")
|
|
class TestFlashAttention4(unittest.TestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MODEL_NAME_FOR_TEST
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
other_args = [
|
|
"--trust-remote-code",
|
|
"--mem-fraction-static",
|
|
"0.8",
|
|
"--prefill-attention-backend",
|
|
"fa4",
|
|
]
|
|
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=4,
|
|
data_path=None,
|
|
num_questions=100,
|
|
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"], 0.65)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|