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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

85 行
2.3 KiB
Python

import unittest
from types import SimpleNamespace
from sglang.srt.utils import kill_process_tree
from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
from sglang.test.run_eval import run_eval
from sglang.test.test_utils import (
DEFAULT_AWQ_MOE_MODEL_NAME_FOR_TEST,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
is_in_amd_ci,
popen_launch_server,
)
register_cuda_ci(est_time=160, stage="base-b", runner_config="1-gpu-large")
register_amd_ci(est_time=200, suite="stage-b-test-1-gpu-large-amd")
class TestAWQ(CustomTestCase):
@classmethod
def setUpClass(cls):
cls.model = DEFAULT_AWQ_MOE_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"],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
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"], 0.64)
@unittest.skipIf(is_in_amd_ci(), "AWQ Marlin is not supported on AMD GPUs")
class TestAWQMarlinBfloat16(CustomTestCase):
"""
Verify that the model can be loaded with bfloat16 dtype and awq_marlin quantization
"""
@classmethod
def setUpClass(cls):
cls.model = "QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ"
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=["--dtype", "bfloat16", "--quantization", "awq_marlin"],
)
@classmethod
def tearDownClass(cls):
kill_process_tree(cls.process.pid)
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"], 0.83)
if __name__ == "__main__":
unittest.main()