73 lines
1.7 KiB
Python
73 lines
1.7 KiB
Python
"""
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GPT-OSS piecewise CUDA graph tests.
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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.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.few_shot_gsm8k 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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popen_launch_server,
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)
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register_cuda_ci(
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est_time=400,
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suite="stage-b-test-2-gpu-large",
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)
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GPT_OSS_MODEL = "openai/gpt-oss-120b"
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ACC_THRESHOLDS = {
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GPT_OSS_MODEL: {"gsm8k": 0.81},
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}
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class TestGptOssPiecewiseCudaGraph(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = GPT_OSS_MODEL
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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",
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"2",
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"--trust-remote-code",
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"--reasoning-parser",
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"gpt-oss",
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"--enable-piecewise-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_gsm8k(self):
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=200,
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max_new_tokens=512,
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parallel=128,
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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(
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metrics["accuracy"], ACC_THRESHOLDS[self.model]["gsm8k"]
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)
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if __name__ == "__main__":
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unittest.main()
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