code: def test_toy(self, device):
      wh = Whitening(
          xform="lw", whitening_model=None, in_dims=175, output_dims=175
      ).to(device)
      inp = torch.ones(1, 175).to(device).float()
      out = wh(inp)
      expected = torch.ones_like(inp).to(device) * 0.0756
      assert_close(out, expected, atol=1e-3, rtol=1e-3)
  
imports: from math import pi
  import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia.testing
  from kornia.feature.mkd import COEFFS, EmbedGradients, ExplicitSpacialEncoding, MKDDescriptor, MKDGradients, SimpleKD, VonMisesKernel, Whitening, get_grid_dict, get_kron_order, spatial_kernel_embedding
  from kornia.testing import assert_close
label_desc: Use image node_id 4 for calling the TestWhitening obj's underlying member method code with example usage: obj.test_toy(device) without return types