Support Online Quantization for W8A8 (#4485)
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@@ -6,6 +6,7 @@ from sglang.test.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_FP8_MODEL_NAME_FOR_ACCURACY_TEST,
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DEFAULT_FP8_MODEL_NAME_FOR_DYNAMIC_QUANT_ACCURACY_TEST,
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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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popen_launch_server,
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@@ -40,33 +41,68 @@ class TestEvalFP8Accuracy(unittest.TestCase):
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class TestEvalFP8DynamicQuantAccuracy(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_FP8_MODEL_NAME_FOR_DYNAMIC_QUANT_ACCURACY_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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def _run_test(self, model, other_args, expected_score):
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base_url = DEFAULT_URL_FOR_TEST
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other_args = other_args or []
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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=other_args,
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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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temperature=0.1,
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)
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metrics = run_eval(args)
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self.assertGreaterEqual(metrics["score"], expected_score)
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finally:
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kill_process_tree(process.pid)
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def test_mmlu_offline_only(self):
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"""Test with offline quantization only."""
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self._run_test(
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model=DEFAULT_FP8_MODEL_NAME_FOR_DYNAMIC_QUANT_ACCURACY_TEST,
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other_args=[],
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expected_score=0.64,
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)
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def test_mmlu_offline_and_online_override(self):
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"""Test with both offline and online quantization."""
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self._run_test(
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model=DEFAULT_FP8_MODEL_NAME_FOR_DYNAMIC_QUANT_ACCURACY_TEST,
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other_args=["--quantization", "w8a8_fp8"],
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# inference will use sgl kernel w/ online quant override
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# we observed that the accuracy is higher then offline only
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expected_score=0.64,
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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_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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temperature=0.1,
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def test_mmlu_online_only(self):
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"""Test with online quantization only."""
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self._run_test(
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model=DEFAULT_MODEL_NAME_FOR_TEST,
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# inference will use sgl kernel w/ online quantization only
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# we observed that the accuracy is higher then offline only
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other_args=["--quantization", "w8a8_fp8"],
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expected_score=0.64,
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)
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metrics = run_eval(args)
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self.assertGreaterEqual(metrics["score"], 0.70)
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def test_mmlu_fp16_baseline(self):
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"""Test with unquantized fp16 baseline."""
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self._run_test(
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model=DEFAULT_MODEL_NAME_FOR_TEST,
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other_args=[],
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expected_score=0.64,
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)
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if __name__ == "__main__":
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