


weights = preprocess(loaded_weights)  # some function
      >>> weights
      tensor([-0.5503,  0.4926, -2.1158, -0.8303])



  >>> # Now, start to record operations done to weights
  >>> weights.requires_grad_()
  >>> out = weights.pow(2).sum()
  >>> out.backward()
  >>> weights.grad
  tensor([-1.1007,  0.9853, -4.2316, -1.6606])
