59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
import unittest
|
|
from types import SimpleNamespace
|
|
from urllib.parse import urlparse
|
|
|
|
from sglang.srt.utils import kill_process_tree
|
|
from sglang.test.ci.ci_register import register_cuda_ci
|
|
from sglang.test.few_shot_gsm8k import run_eval
|
|
from sglang.test.test_utils import (
|
|
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
DEFAULT_URL_FOR_TEST,
|
|
CustomTestCase,
|
|
popen_launch_server,
|
|
)
|
|
|
|
register_cuda_ci(est_time=520, suite="stage-b-test-1-gpu-large")
|
|
|
|
|
|
class TestFP8KVCacheTritonBackend(CustomTestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = "neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV"
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
cls.process = popen_launch_server(
|
|
cls.model,
|
|
cls.base_url,
|
|
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
other_args=[
|
|
"--quantization",
|
|
"fp8",
|
|
"--kv-cache-dtype",
|
|
"fp8_e4m3",
|
|
"--attention-backend",
|
|
"triton",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_gsm8k(self):
|
|
parsed_url = urlparse(self.base_url)
|
|
args = SimpleNamespace(
|
|
num_shots=5,
|
|
data_path=None,
|
|
num_questions=200,
|
|
max_new_tokens=512,
|
|
parallel=200,
|
|
host=f"{parsed_url.scheme}://{parsed_url.hostname}",
|
|
port=parsed_url.port,
|
|
)
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["accuracy"], 0.70)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|