81 lines
2.2 KiB
Python
81 lines
2.2 KiB
Python
import unittest
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from types import SimpleNamespace
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from sglang.test.ci.ci_register import 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_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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kill_process_tree,
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popen_launch_server,
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)
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register_cuda_ci(
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est_time=300,
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suite="stage-c-test-4-gpu-h100",
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disabled="Temporarily disable the flaky test.",
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)
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QWEN3_30B_MODEL_PATH = "Qwen/Qwen3-30B-A3B-FP8"
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GSM8K_BASELINE_ACCURACY = 0.85
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class TestQwen330B(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = QWEN3_30B_MODEL_PATH
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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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"--tp-size",
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"4",
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"--moe-dp-size",
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"2",
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"--ep-size",
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"2",
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"--attn-cp-size",
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"2",
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"--enable-prefill-context-parallel",
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"--cuda-graph-max-bs",
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"32",
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"--max-running-requests",
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"32",
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"--trust-remote-code",
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"--disable-piecewise-cuda-graph",
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"--model-loader-extra-config",
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'{"enable_multithread_load": true, "num_threads": 64}',
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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_gsm8k(self):
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args = SimpleNamespace(
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model=self.model,
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eval_name="gsm8k",
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num_shots=5,
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num_examples=200,
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max_tokens=16000,
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num_threads=128,
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repeat=1,
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temperature=0.6,
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top_p=0.95,
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top_k=20,
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base_url=self.base_url,
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host="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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self.assertGreaterEqual(metrics["score"], GSM8K_BASELINE_ACCURACY)
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if __name__ == "__main__":
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unittest.main()
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