73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
import os
|
|
import unittest
|
|
from types import SimpleNamespace
|
|
|
|
import requests
|
|
|
|
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,
|
|
popen_launch_server,
|
|
)
|
|
|
|
|
|
class TestTwoBatchOverlap(unittest.TestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MLA_MODEL_NAME_FOR_TEST
|
|
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=[
|
|
"--trust-remote-code",
|
|
"--tp",
|
|
"2",
|
|
"--dp",
|
|
"2",
|
|
"--enable-dp-attention",
|
|
"--enable-deepep-moe",
|
|
"--deepep-mode",
|
|
"normal",
|
|
"--disable-cuda-graph", # DeepEP normal does not support CUDA Graph
|
|
"--enable-two-batch-overlap",
|
|
],
|
|
env={"SGL_ENABLE_JIT_DEEPGEMM": "0", **os.environ},
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_generate_single_prompt(self):
|
|
response = requests.post(
|
|
self.base_url + "/generate",
|
|
# we use an uncommon start to minimise the chance that the cache is hit by chance
|
|
json={
|
|
"text": "_ 1+1=2, 1+2=3, 1+3=4, 1+4=",
|
|
"sampling_params": {"temperature": 0, "max_new_tokens": 8},
|
|
},
|
|
)
|
|
print(f"{response.json()=}")
|
|
self.assertEquals(response.json()["text"], "5, 1+5=6")
|
|
|
|
def test_mmlu(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mmlu",
|
|
num_examples=64,
|
|
num_threads=32,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
self.assertGreater(metrics["score"], 0.5)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|