75 lines
2.0 KiB
Python
75 lines
2.0 KiB
Python
"""
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Usage:
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python -m unittest test_moe_deepep_eval_accuracy_large.TestMoEDeepEPEvalAccuracyLarge.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.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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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_DEEPPEP_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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class TestMoEDeepEPEvalAccuracyLarge(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_DEEPPEP_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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"8",
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"--enable-deepep-moe",
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"--cuda-graph-max-bs",
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"128",
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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=8,
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data_path=None,
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num_questions=200,
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parallel=64,
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max_new_tokens=512,
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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_few_shot_gsm8k(args)
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print(f"Eval accuracy of GSM8K: {metrics=}")
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self.assertGreater(metrics["accuracy"], 0.93)
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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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print(f"Eval accuracy of MMLU: {metrics=}")
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self.assertGreater(metrics["score"], 0.87)
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if __name__ == "__main__":
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unittest.main()
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