forked from mooncake-track/Mooncake
66 lines
1.8 KiB
Python
66 lines
1.8 KiB
Python
'''
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this test case is from https://github.com/HanHan009527/sglang/blob/a100-ci/test/manual/ep/test_moe_mooncake.py
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End-to-End Integration Test for SGLang with Mooncake Elastic EP Backend.
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'''
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import unittest
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from types import SimpleNamespace
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from sglang.srt.environ import envs
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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.server_fixtures.disaggregation_fixture import get_rdma_devices_args
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from sglang.test.test_utils import (
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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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popen_launch_server,
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)
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ib_devices = get_rdma_devices_args()
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class TestMooncakeBackend(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct"
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cls.base_url = DEFAULT_URL_FOR_TEST
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with envs.SGLANG_ENABLE_JIT_DEEPGEMM.override(False):
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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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"--elastic-ep-backend",
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"mooncake",
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"--mooncake-ib-device",
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ib_devices,
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"--mem-fraction-static",
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"0.8",
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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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