53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
"""
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Usage:
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python3 -m unittest test_torch_native_attention_backend.TestTorchNativeAttnBackend.test_mmlu
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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_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_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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popen_launch_server,
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)
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# Torch native attention backend integration test with MMLU eval
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register_cuda_ci(est_time=169, suite="stage-b-test-small-1-gpu")
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register_amd_ci(est_time=150, suite="stage-b-test-small-1-gpu-amd")
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class TestTorchNativeAttnBackend(CustomTestCase):
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def test_mmlu(self):
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model = DEFAULT_MODEL_NAME_FOR_TEST
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base_url = DEFAULT_URL_FOR_TEST
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process = popen_launch_server(
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model,
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base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=["--attention-backend", "torch_native"],
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)
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try:
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args = SimpleNamespace(
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base_url=base_url,
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model=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.assertGreaterEqual(metrics["score"], 0.65)
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finally:
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kill_process_tree(process.pid)
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if __name__ == "__main__":
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unittest.main()
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