code: def test_triton_kernel_slice_and_view_input(self):
      def f(inp):
          # left has strides [256, 1]
          left = inp[:, :128]
          left = left.view(64, 4, 32)
          out = torch.empty_like(left)
          X_BLOCK_SIZE, Y_BLOCK_SIZE = 32, 16
          grid = (
              (left.size(1) * left.size(2)) // X_BLOCK_SIZE,
              left.size(0) // Y_BLOCK_SIZE,
          )
          double_strided_kernel[grid](
              in_ptr=left,
              out_ptr=out,
              in_y_stride=left.stride(0),
              out_y_stride=out.stride(0),
              X_BLOCK_SIZE=X_BLOCK_SIZE,
              Y_BLOCK_SIZE=Y_BLOCK_SIZE,
          )
          return out + left
  
      inp = torch.randn(64, 256, device="cuda")
  
      eager_out = f(inp)
      compiled_out = torch.compile(f)(inp)
      self.assertEqual(compiled_out, eager_out)
  
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 22 for calling the KernelTests obj's underlying member method code with example usage: obj.test_triton_kernel_slice_and_view_input() and returns: unknown