code: def test_uniform_dist(self, device, dtype):
      sample1 = torch.linspace(
          0, 255, 10, device=device, dtype=dtype
      ).unsqueeze(0)
      sample2 = torch.linspace(
          0, 255, 10, device=device, dtype=dtype
      ).unsqueeze(0)
      bins = torch.linspace(0, 255, 10, device=device, dtype=dtype)
      bandwidth = torch.tensor(2 * 0.4**2, device=device, dtype=dtype)
  
      pdf = TestHistogram2d.fcn(sample1, sample2, bins, bandwidth)
      ans = 0.1 * kornia.eye_like(10, pdf)
      assert_close(ans, pdf)
  
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 TestHistogram2d obj's underlying member method code with example usage: obj.test_uniform_dist(device, dtype) without return types