code: def setUp(self):
      with torch.no_grad():
          self._state = {torchbearer.LOSS: torch.FloatTensor([2.35])}
      self._metric = Loss().root
  
imports: import unittest
  import torch
  from torch.autograd import Variable
  import torchbearer
  from torchbearer.metrics import Loss, Epoch, CategoricalAccuracy, TopKCategoricalAccuracy, BinaryAccuracy, MeanSquaredError
label_desc: Use image node_id 1 for calling the TestLoss obj's underlying member method code with example usage: obj.setUp() without return types