code: def test_triton_kernel_mutation_not_mark_dirty(self):
      @torch.compile
      def f(x):
          n_elements = x.numel()
          add_kernel[(n_elements,)](x, x, x, n_elements, 16)
          return x
  
      x = torch.randn(5, device="cuda", requires_grad=True)
      x_cloned = x.clone()
      out = x_cloned.sin()
      f(x_cloned)
      out.sum().backward()
  
imports: from unittest.mock import patch
  import torch
  import torch._dynamo.test_case
  import torch._dynamo.testing
  from torch._higher_order_ops.triton_kernel_wrap import triton_kernel_wrapper_functional, triton_kernel_wrapper_mutation
  from torch._inductor import metrics
  from torch.testing._internal import common_utils
  from torch.testing._internal.common_utils import skipIfRocm
  from torch.testing._internal.triton_utils import *
label_desc: Use image node_id 18 for calling the KernelTests obj's underlying member method code with example usage: obj.test_triton_kernel_mutation_not_mark_dirty() and returns: x