code: def test_mlp_with_lrp(self):
      in_features = 4
      hidden_features = 6
      out_features = 8
      mod = Mlp(in_features, hidden_features, out_features)
      fake_input = torch.rand(1, in_features)
      output = mod(fake_input)
      kwargs = {"alpha": 1}
      output2 = mod.relprop(output, **kwargs)
      self.assertTrue(output2.shape == torch.Size([1, 4]))
  
imports: import unittest
  import torch
  from towhee.models.layers.mlp import Mlp
label_desc: Use image node_id 2 for calling the MlpTest obj's underlying member method code with example usage: obj.test_mlp_with_lrp() without return types