code: def __init__(self, s):
      # `s` is the linear network outputs, i.e. the network output
      # without having applied the activation function
      self._s = s
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  import unittest
  import theano
  from theano import config
  from theano import tensor
  from theano.scan_module.scan_op import Scan
  from theano.tests import unittest_tools
label_desc: Use image node_id 1 to create a new GaussNewtonMatrix object from inherited base classes: object with example: obj = GaussNewtonMatrix(s)