code: def test_mlp(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)
      gt_output_shape = torch.Size([1, out_features])
      self.assertTrue(output.shape == gt_output_shape)
  
imports: import unittest
  import torch
  from towhee.models.layers.mlp import Mlp
label_desc: Use image node_id 1 for calling the MlpTest obj's underlying member method code with example usage: obj.test_mlp() without return types