sglang0.4.5.post1/test/srt/models/test_grok_models.py

54 lines
1.4 KiB
Python

import unittest
from types import SimpleNamespace
from sglang.srt.utils import kill_process_tree
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,
)
class TestGrok(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = "lmzheng/grok-1"
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=[
"--load-format",
"dummy",
"--json-model-override-args",
'{"num_hidden_layers": 2}',
],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
def test_gsm8k(self):
args = SimpleNamespace(
num_shots=5,
data_path=None,
num_questions=64,
max_new_tokens=256,
parallel=128,
host="http://127.0.0.1",
port=int(self.base_url.split(":")[-1]),
)
metrics = run_eval(args)
print(f"{metrics=}")
# It is dummy weights so we only assert the output throughput instead of accuracy.
self.assertGreater(metrics["output_throughput"], 1000)
if __name__ == "__main__":
unittest.main()