[test] Add GSM8K accuracy test for PP with mixed chunk prefill (#23029)
Co-authored-by: cyy <cy02433585@alibaba-inc.com>
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@@ -4,6 +4,7 @@ python3 -m unittest test_pp_single_node.TestPPAccuracy.test_gsm8k
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python3 -m unittest test_pp_single_node.TestQwenPPAccuracy.test_pp_consistency
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python3 -m unittest test_pp_single_node.TestFixedBugs.test_chunked_prefill_with_small_bs
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python3 -m unittest test_pp_single_node.TestQwenVLPPAccuracy.test_mmmu
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python3 -m unittest test_pp_single_node.TestPPMixedChunk.test_gsm8k
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"""
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import time
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@@ -420,6 +421,53 @@ class TestQwen35PPAccuracy(unittest.TestCase):
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)
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class TestPPMixedChunk(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST
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cls.base_url = "http://127.0.0.1:23338"
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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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2,
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"--pp-size",
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2,
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"--chunked-prefill-size",
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256,
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"--enable-mixed-chunk",
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],
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)
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@classmethod
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def tearDownClass(cls):
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if hasattr(cls, "process"):
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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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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=200,
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num_threads=128,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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if is_in_amd_ci():
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# AMD triton backend produces slightly lower accuracy than FA3 on NVIDIA
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self.assertGreater(metrics["score"], 0.70)
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else:
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self.assertGreater(metrics["score"], 0.74)
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# Wait a little bit so that the memory check happens.
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time.sleep(4)
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class TestFixedBugs(unittest.TestCase):
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def test_chunked_prefill_with_small_bs(self):
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model = DEFAULT_MODEL_NAME_FOR_TEST
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@@ -435,7 +483,7 @@ class TestFixedBugs(unittest.TestCase):
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2,
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"--pp-size",
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2,
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"--chunked-prefill",
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"--chunked-prefill-size",
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256,
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"--max-running-requests",
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2,
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