code: def test_wrap(self):
      mm = (
          ManifoldMixup()
          .at_depth(None)
          .for_layers(["conv1", "layer1_relu", "layer2_layer1_conv"])
      )
      state = {torchbearer.MODEL: self.model}
      mm.on_start(state)
  
      self.model.conv1.mixup()
      self.model.layer1.relu.mixup()
      self.model.layer2.layer1.conv.mixup()
  
      self.assertRaises(AttributeError, lambda: self.model.relu.mixup())
  
imports: from unittest import TestCase
  from mock import patch, Mock
  from torch import nn
  from torchbearer.callbacks.manifold_mixup import ManifoldMixup
  import torchbearer
  import torch
label_desc: Use image node_id 10 for calling the TestManifoldMixup obj's underlying member method code with example usage: obj.test_wrap() without return types