code: def test_dropPath(self):
      # Input should be same if drop_prob = 0.
      net_drop_path = DropPath(drop_prob=0.0)
      fake_input = torch.rand(64, 10, 20)
      output = net_drop_path(fake_input)
      self.assertTrue(output.equal(fake_input))
      # Test when drop_prob > 0.
      net_drop_path = DropPath(drop_prob=0.5)
      fake_input = torch.rand(64, 10, 20)
      output = net_drop_path(fake_input)
      self.assertTrue(output.shape, fake_input.shape)
  
imports: import unittest
  import torch
  from pytorchvideo.layers import DropPath
label_desc: Use image node_id 2 for calling the TestDropPath obj's underlying member method code with example usage: obj.test_dropPath() without return types