code: def test_shape(self, ps, device):
      inp = torch.ones(1, 1, ps, ps).to(device)
      vm = VonMisesKernel(
          patch_size=ps, coeffs=[0.38214156, 0.48090413]
      ).to(device)
      out = vm(inp)
      assert out.shape == (1, 3, ps, ps)
  
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 1 for calling the TestVonMisesKernel obj's underlying member method code with example usage: obj.test_shape(ps, device) without return types