[Feature] Integrate DeepEP into SGLang (#4232)
Co-authored-by: Cheng Wan <cwan39@gatech.edu> Co-authored-by: Xuting Zhou <xutingz@nvidia.com>
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53
test/srt/test_moe_deepep.py
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53
test/srt/test_moe_deepep.py
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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.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_MLA_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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popen_launch_server,
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)
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class TestDeepEPMoE(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MLA_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=[
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"--trust-remote-code",
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"--tp",
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"2",
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"--dp",
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"2",
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"--enable-dp-attention",
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"--enable-deepep-moe",
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"--disable-cuda-graph",
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],
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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"], 0.5)
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if __name__ == "__main__":
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unittest.main()
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