code: def test_droppath(self):
      mod = DropPath(drop_prob=0.5)
  
      h = 4
      w = 4
      in_features = 3
  
      fake_input = torch.rand(1, in_features, h, w)
      output = mod(fake_input)
      out_features = 3
      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.droppath import DropPath
label_desc: Use image node_id 1 for calling the DropPathTest obj's underlying member method code with example usage: obj.test_droppath() without return types