code: def test_xpu_backend(cmdopt):
      if cmdopt == "xpu":
          has_ipex = False
          try:
              # Import IPEX to provide Intel GPU runtime
              import intel_extension_for_pytorch  # type: ignore # noqa: F401
  
              has_ipex = True if hasattr(torch, "xpu") else False
          except Exception:
              has_ipex = False
  
          @triton.jit()
          def kernel(x_ptr, y_ptr, out_ptr):
              pid = tl.program_id(axis=0)
              x = tl.load(x_ptr + pid)
              y = tl.load(y_ptr + pid)
              out = x + y
              tl.store(out_ptr + pid, out)
  
          if has_ipex:
              for _ in range(1000):
                  x = torch.randn(
                      (65536,), device="xpu", dtype=torch.float32
                  )
                  y = torch.randn(
                      (65536,), device="xpu", dtype=torch.float32
                  )
                  z = torch.zeros(
                      (65536,), device="xpu", dtype=torch.float32
                  )
                  kernel[(65536,)](x, y, z, num_warps=32)
                  assert torch.all(x + y == z)
      else:
          return
  
imports: import torch
  import triton
  import triton.language
label_desc: Use image node_id 1 for calling a global function with example usage: test_xpu_backend(cmdopt) without return types