code: def test_uniform_dist(self, device, dtype, kernel, size):
      sample = torch.linspace(0, 255, 10, device=device, dtype=dtype)
      sample_x, _ = torch.meshgrid(sample, sample)
      sample_x = sample_x.repeat(*size)
      if kernel == "gaussian":
          bandwidth = 2 * 0.4**2
      else:
          bandwidth = None
      hist, pdf = TestImageHistogram2d.fcn(
          sample_x,
          0.0,
          255.0,
          10,
          bandwidth=bandwidth,
          centers=sample,
          kernel=kernel,
          return_pdf=True,
      )
      ans = 0.1 * torch.ones_like(hist)
      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 7 for calling the TestImageHistogram2d obj's underlying member method code with example usage: obj.test_uniform_dist(device, dtype, kernel, size) without return types