code: def test_patch_embed2d_with_lrp(self):
      test_shape1 = (1, 3, 4, 4)
      fake_img = torch.rand(test_shape1)
      kwargs = {"alpha": 1}
      model = PatchEmbed2D(img_size=4, patch_size=2)
      out1 = model(fake_img)
      # torch.Size([1, 3, 4, 4])
      out2 = model.relprop(out1, **kwargs)
      self.assertTrue(out2.shape == torch.Size([1, 3, 4, 4]))
  
imports: import unittest
  import torch
  from towhee.models.layers.patch_embed2d import PatchEmbed2D
label_desc: Use image node_id 2 for calling the PatchEmbed2DTest obj's underlying member method code with example usage: obj.test_patch_embed2d_with_lrp() without return types