ci: prune per-commit CUDA tests — move 25 files + 13 testcases to test/manual/ (#24721)

test/manual/piecewise_cuda_graph/test_piecewise_cuda_graph_support_1_gpu_archived.py

@@ -0,0 +1,63 @@
+"""Archived test classes split out of test/registered/piecewise_cuda_graph/test_piecewise_cuda_graph_support_1_gpu.py.
+
+Originally registered with `register_cuda_ci(...)`. Moved here as part of
+the per-commit pruning effort to keep the code reachable manually.
+Run with `python3 test/manual/piecewise_cuda_graph/test_piecewise_cuda_graph_support_1_gpu_archived.py`.
+"""
+
+import unittest
+
+from sglang.srt.utils import kill_process_tree
+from sglang.test.run_eval import run_eval
+from sglang.test.test_utils import (
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    SimpleNamespace,
+    popen_launch_server,
+)
+
+
+# CI Registration
+class TestPiecewiseCudaGraphInternVL25(CustomTestCase):
+    """Test piecewise CUDA graph with InternVL2.5-8B model"""
+
+    @classmethod
+    def setUpClass(cls):
+        cls.model = "OpenGVLab/InternVL2_5-8B"
+        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=[
+                "--enforce-piecewise-cuda-graph",
+                "--disable-radix-cache",
+            ],
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def test_gsm8k_accuracy(self):
+        args = SimpleNamespace(
+            base_url=self.base_url,
+            model=self.model,
+            eval_name="gsm8k",
+            num_examples=None,
+            num_threads=1024,
+        )
+
+        metrics = run_eval(args)
+        print(f"GSM8K Accuracy: {metrics['score']:.3f}")
+
+        # Baseline (no piecewise CUDA graph): 0.571 — this eval uses 5-shot
+        # concatenated text via chat API, which scores lower than reported
+        # benchmarks (~77.8%) that use proper CoT chat format. The threshold
+        # is set 5% below observed to catch catastrophic regressions.
+        self.assertGreaterEqual(metrics["score"], 0.54)
+
+
+if __name__ == "__main__":
+    unittest.main()