119 lines
3.3 KiB
Python
119 lines
3.3 KiB
Python
import unittest
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from types import SimpleNamespace
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_AWQ_MOE_MODEL_NAME_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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is_in_amd_ci,
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popen_launch_server,
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)
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register_cuda_ci(est_time=700, suite="stage-b-test-1-gpu-large")
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register_amd_ci(est_time=200, suite="stage-b-test-1-gpu-large-amd")
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class TestAWQ(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_AWQ_MOE_MODEL_NAME_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=["--trust-remote-code"],
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_mmlu(self):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="mmlu",
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num_examples=64,
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num_threads=32,
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)
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metrics = run_eval(args)
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self.assertGreater(metrics["score"], 0.64)
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@unittest.skipIf(is_in_amd_ci(), "AWQ Marlin is not supported on AMD GPUs")
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class TestAWQMarlinBfloat16(CustomTestCase):
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"""
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Verify that the model can be loaded with bfloat16 dtype and awq_marlin quantization
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"""
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@classmethod
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def setUpClass(cls):
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cls.model = "QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ"
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=["--dtype", "bfloat16", "--quantization", "awq_marlin"],
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_mmlu(self):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="mmlu",
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num_examples=64,
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num_threads=32,
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)
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metrics = run_eval(args)
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self.assertGreater(metrics["score"], 0.83)
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@unittest.skipIf(is_in_amd_ci(), "AWQ Marlin is not supported on AMD GPUs")
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class TestAWQMarlinFloat16(CustomTestCase):
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"""
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Verify that the model can be loaded with float16 dtype and awq_marlin quantization
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"""
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@classmethod
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def setUpClass(cls):
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cls.model = "QuantTrio/Qwen3-VL-30B-A3B-Instruct-AWQ"
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=["--dtype", "float16", "--quantization", "awq_marlin"],
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_mmlu(self):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="mmlu",
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num_examples=64,
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num_threads=32,
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)
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metrics = run_eval(args)
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self.assertGreater(metrics["score"], 0.85)
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if __name__ == "__main__":
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unittest.main()
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