134 lines
3.9 KiB
Python
134 lines
3.9 KiB
Python
import unittest
|
|
from types import SimpleNamespace
|
|
|
|
import requests
|
|
|
|
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 as run_eval_few_shot_gsm8k
|
|
from sglang.test.kits.ebnf_constrained_kit import TestEBNFConstrainedMixin
|
|
from sglang.test.kits.json_constrained_kit import TestJSONConstrainedMixin
|
|
from sglang.test.kits.regex_constrained_kit import TestRegexConstrainedMixin
|
|
from sglang.test.run_eval import run_eval
|
|
from sglang.test.test_utils import (
|
|
DEFAULT_MLA_MODEL_NAME_FOR_TEST,
|
|
DEFAULT_MODEL_NAME_FOR_TEST_MLA,
|
|
DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
|
|
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
DEFAULT_URL_FOR_TEST,
|
|
CustomTestCase,
|
|
is_in_amd_ci,
|
|
popen_launch_server,
|
|
)
|
|
|
|
register_cuda_ci(est_time=350, suite="stage-c-test-large-4-gpu")
|
|
|
|
|
|
class TestDPAttentionDP2TP4(
|
|
CustomTestCase,
|
|
TestJSONConstrainedMixin,
|
|
TestEBNFConstrainedMixin,
|
|
TestRegexConstrainedMixin,
|
|
):
|
|
@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=4",
|
|
"--enable-dp-attention",
|
|
"--dp=2",
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
kill_process_tree(cls.process.pid)
|
|
|
|
def test_mgsm_en(self):
|
|
args = SimpleNamespace(
|
|
base_url=self.base_url,
|
|
model=self.model,
|
|
eval_name="mgsm_en",
|
|
num_examples=None,
|
|
num_threads=1024,
|
|
)
|
|
|
|
metrics = run_eval(args)
|
|
print(f"{metrics=}")
|
|
self.assertGreater(metrics["score"], 0.8)
|
|
|
|
|
|
class TestDPAttentionDP2TP2DeepseekV3MTP(
|
|
CustomTestCase,
|
|
TestJSONConstrainedMixin,
|
|
TestEBNFConstrainedMixin,
|
|
TestRegexConstrainedMixin,
|
|
):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.model = DEFAULT_MODEL_NAME_FOR_TEST_MLA
|
|
cls.base_url = DEFAULT_URL_FOR_TEST
|
|
other_args = [
|
|
"--trust-remote-code",
|
|
"--disable-radix",
|
|
"--speculative-algorithm=EAGLE",
|
|
"--speculative-num-steps=2",
|
|
"--speculative-eagle-topk=4",
|
|
"--speculative-num-draft-tokens=4",
|
|
"--speculative-draft-model-path",
|
|
DEFAULT_MODEL_NAME_FOR_TEST_MLA_NEXTN,
|
|
"--tp-size=4",
|
|
"--enable-dp-attention",
|
|
"--dp-size=2",
|
|
]
|
|
if not is_in_amd_ci():
|
|
other_args += ["--mem-frac", "0.7"]
|
|
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):
|
|
requests.get(self.base_url + "/flush_cache")
|
|
|
|
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"], 0.60)
|
|
|
|
server_info = requests.get(self.base_url + "/get_server_info")
|
|
avg_spec_accept_length = server_info.json()["internal_states"][0][
|
|
"avg_spec_accept_length"
|
|
]
|
|
print(
|
|
f"###test_gsm8k (deepseek-v3 mtp + dp):\n"
|
|
f"accuracy={metrics['accuracy']=:.3f}\n"
|
|
f"{avg_spec_accept_length=:.3f}\n"
|
|
)
|
|
self.assertGreater(avg_spec_accept_length, 2.5)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|