code: def test_jit(self, device, dtype, kernel):
      sample = torch.linspace(0, 255, 10, device=device, dtype=dtype)
      sample_x, _ = torch.meshgrid(sample, sample)
      samples = (sample_x, 0.0, 255.0, 10, None, None, False, kernel)
  
      op = TestImageHistogram2d.fcn
      op_script = torch.jit.script(op)
  
      out, out_script = op(*samples), op_script(*samples)
      assert_close(out[0], out_script[0])
      assert_close(out[1], out_script[1])
  
imports: import pytest
  import torch
  from packaging import version
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 5 for calling the TestImageHistogram2d obj's underlying member method code with example usage: obj.test_jit(device, dtype, kernel) without return types