code: def test_convmlp(self):
      in_features = 50
      hidden_features = 100
      out_features = 130
  
      mod = ConvMlp(in_features, hidden_features, out_features)
      h = 224
      w = 224
  
      fake_input = torch.rand(1, in_features, h, w)
      output = mod(fake_input)
  
      gt_output_shape = torch.Size([1, out_features, h, w])
      self.assertTrue(output.shape == gt_output_shape)
  
imports: import unittest
  import torch
  from towhee.models.layers.convmlp import ConvMlp
label_desc: Use image node_id 1 for calling the ConvMlpTest obj's underlying member method code with example usage: obj.test_convmlp() without return types