code: def test_triton_kernel_with_kernel_param(self):
      @triton.jit
      def pass_kernel(kernel):
          pass
  
      @torch.compile(backend="eager")
      def f(x):
          grid = (x.numel(),)
          pass_kernel[grid](kernel=x)
  
      t1 = torch.rand(5, device="cuda")
      f(t1)
  
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 1 for calling the KernelTests obj's underlying member method code with example usage: obj.test_triton_kernel_with_kernel_param() without return types