code: def setUpMoreDims(self):
      self._metric = Metric("test")
      self._metric.process = Mock()
      self._metric.process.side_effect = [
          torch.zeros(torch.Size([])),
          torch.FloatTensor([[0.1, 0.2, 0.3], [1.1, 1.2, 1.3]]),
          torch.FloatTensor([[0.4, 0.5, 0.6], [1.4, 1.5, 1.6]]),
          torch.FloatTensor([[0.7, 0.8, 0.9], [1.7, 1.8, 1.9]]),
          torch.ones(torch.Size([])),
      ]
      self._std = Std("test", unbiased=False)
      self._std.reset({})
      self._target = 0.57662804083742
  
imports: import unittest
  from mock import Mock, call
  from torchbearer.metrics import RunningMean, Metric, RunningMetric, Mean, Std, Var
  import torch
label_desc: Use image node_id 5 for calling the TestStd obj's underlying member method code with example usage: obj.setUpMoreDims() without return types