chore: vendor sglang v0.5.10 snapshot

third_party/sglang/sgl-kernel/tests/test_copy.py

@@ -0,0 +1,18 @@
+import sys
+
+import pytest
+import sgl_kernel
+import torch
+from sgl_kernel.elementwise import copy_to_gpu_no_ce
+
+
+@pytest.mark.parametrize("size", [64, 72])
+def test_copy_to_gpu_no_ce(size):
+    tensor_cpu = torch.randint(0, 1000000, (size,), dtype=torch.int32, device="cpu")
+    tensor_gpu = torch.empty_like(tensor_cpu, device="cuda")
+    copy_to_gpu_no_ce(tensor_cpu, tensor_gpu)
+    assert torch.all(tensor_cpu.cuda() == tensor_gpu)
+
+
+if __name__ == "__main__":
+    sys.exit(pytest.main([__file__]))