Files
sglang/test/srt/ascend/test_llada2_mini_ascend.py
wenxuewuhd 11b76d24dc [NPU] [DLLM]DLLM LLaDA2.x graph mode support with NPU speedup modifications (#18485)
Co-authored-by: Zhang-Xiaoxue <xiaoxuezhang17@outlook.com>
Co-authored-by: dawncc <dawn.cc022@gmail.com>
Co-authored-by: lixinqi7 <li_xinqi7@163.com>
Co-authored-by: rangejay <rangejay1st@163.com>
2026-03-09 22:41:05 +08:00

88 lines
2.6 KiB
Python

import os
import unittest
from types import SimpleNamespace
from sglang.srt.utils import kill_process_tree
from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
from sglang.test.send_one import BenchArgs, send_one_prompt
from sglang.test.test_utils import (
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
is_in_ci,
popen_launch_server,
write_github_step_summary,
)
class TestLLaDA2Mini(CustomTestCase):
@classmethod
def setUpClass(cls):
cls._old_disable_acl = os.environ.get("SGLANG_NPU_DISABLE_ACL_FORMAT_WEIGHT")
os.environ["SGLANG_NPU_DISABLE_ACL_FORMAT_WEIGHT"] = "1"
cls.model = "/root/.cache/modelscope/hub/models/inclusionAI/LLaDA2.0-mini"
cls.base_url = DEFAULT_URL_FOR_TEST
other_args = [
"--trust-remote-code",
"--disable-radix-cache",
"--mem-fraction-static",
"0.9",
"--max-running-requests",
"1",
"--attention-backend",
"ascend",
"--dllm-algorithm",
"LowConfidence", # TODO: Add dLLM configurations
]
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)
if cls._old_disable_acl is None:
os.environ.pop("SGLANG_NPU_DISABLE_ACL_FORMAT_WEIGHT", None)
else:
os.environ["SGLANG_NPU_DISABLE_ACL_FORMAT_WEIGHT"] = cls._old_disable_acl
def test_gsm8k(self):
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(f"{metrics=}")
self.assertGreater(metrics["accuracy"], 0.88)
self.assertGreater(metrics["output_throughput"], 70)
def test_bs_1_speed(self):
args = BenchArgs(port=int(self.base_url.split(":")[-1]), max_new_tokens=2048)
acc_length, speed = send_one_prompt(args)
print(f"{speed=:.2f}")
if is_in_ci():
write_github_step_summary(
f"### test_bs_1_speed (llada2-mini) with tp1\n"
f"{speed=:.2f} token/s\n"
)
self.assertGreater(speed, 130)
if __name__ == "__main__":
unittest.main()