Piecewise CUDA Graph Support & Torch Compile Backend (#10062)

Signed-off-by: Oasis-Git <ayw.sirius19@gmail.com>

test/srt/test_piecewise_cuda_graph.py

+import time
+import unittest
+
+import requests
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_MODEL_NAME_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    SimpleNamespace,
+    popen_launch_server,
+    run_bench_one_batch,
+)
+
+
+class TestPiecewiseCudaGraphCorrectness(CustomTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.model = DEFAULT_MODEL_NAME_FOR_TEST
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=["--enable-piecewise-cuda-graph"],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gpqa(self):
+        args = SimpleNamespace(
+            base_url=self.base_url,
+            model=self.model,
+            eval_name="gpqa",
+            num_examples=64,
+            num_threads=16,
+        )
+
+        metrics = run_eval(args)
+        self.assertGreaterEqual(metrics["score"], 0.235)
+
+
+class TestPiecewiseCudaGraphBenchmark(CustomTestCase):
+
+    def test_latency(self):
+        prefill_latency, _, _ = run_bench_one_batch(
+            DEFAULT_MODEL_NAME_FOR_TEST,
+            other_args=["--enable-piecewise-cuda-graph"],
+        )
+        self.assertLess(prefill_latency, 0.015)
+
+
+if __name__ == "__main__":
+    unittest.main()