code: def test_warp_grid_translation(self, shape, offset, device, dtype):
      # create input data
      height, width = shape
      dst_homo_src = utils.create_eye_batch(
          batch_size=1, eye_size=3, device=device, dtype=dtype
      )
      dst_homo_src[..., 0, 2] = offset  # apply offset in x
      grid = kornia.utils.create_meshgrid(
          height, width, normalized_coordinates=False
      )
      flow = kornia.geometry.transform.warp_grid(grid, dst_homo_src)
  
      # the grid the src plus the offset should be equal to the flow
      # on the x-axis, y-axis remains the same.
      assert_close(
          grid[..., 0].to(device=device, dtype=dtype) + offset,
          flow[..., 0],
      )
      assert_close(
          grid[..., 1].to(device=device, dtype=dtype), flow[..., 1]
      )
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
  from kornia.utils.helpers import _torch_inverse_cast
label_desc: Use image node_id 7 for calling the TestHomographyWarper obj's underlying member method code with example usage: obj.test_warp_grid_translation(shape, offset, device, dtype) without return types