code: def test_print(self, device):
      emb_grads = EmbedGradients(patch_size=15, relative=True).to(
          device
      )
      emb_grads.__repr__()
  
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 3 for calling the TestEmbedGradients obj's underlying member method code with example usage: obj.test_print(device) without return types