code: def test_jit(self, device, dtype):
      shear = torch.tensor([[0.5, 0.0]], device=device, dtype=dtype)
      batch_size, channels, height, width = 2, 3, 64, 64
      img = torch.ones(
          batch_size,
          channels,
          height,
          width,
          device=device,
          dtype=dtype,
      )
      trans = kornia.geometry.transform.Shear(
          shear, align_corners=False
      )
      trans_traced = torch.jit.trace(
          kornia.geometry.transform.Shear(shear), img
      )
      assert_close(trans(img), trans_traced(img), atol=1e-4, rtol=1e-4)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 6 for calling the TestShear obj's underlying member method code with example usage: obj.test_jit(device, dtype) without return types