Enable torch.compile for triton backend (#1422)
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@@ -1,3 +1,4 @@
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import subprocess
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import unittest
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from types import SimpleNamespace
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@@ -7,37 +8,49 @@ 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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is_in_ci,
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popen_launch_server,
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run_bench_latency,
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)
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class TestTritonAttnBackend(unittest.TestCase):
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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 = 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 test_latency(self):
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output_throughput = run_bench_latency(
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DEFAULT_MODEL_NAME_FOR_TEST,
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[
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"--attention-backend",
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"triton",
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"--enable-torch-compile",
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],
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)
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if is_in_ci():
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assert output_throughput > 155, f"{output_throughput=}"
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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", "triton"],
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)
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@classmethod
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def tearDownClass(cls):
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kill_child_process(cls.process.pid)
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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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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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assert metrics["score"] >= 0.65
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metrics = run_eval(args)
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assert metrics["score"] >= 0.65
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finally:
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kill_child_process(process.pid)
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if __name__ == "__main__":
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