code: def test_call_mix(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.assertTrue(self.model.conv1.do_mixup)
      self.model(torch.rand(3, 1))
      self.assertFalse(self.model.conv1.do_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 11 for calling the TestManifoldMixup obj's underlying member method code with example usage: obj.test_call_mix(_) without return types