code: def get_matrices():
      
      with open('hwrt/misc/is_one_symbol_classifier.pickle', 'rb') as f:
          a = pickle.load(f)
  
      arrays = []
      for el1 in a.input_storage:
          for el2 in el1.__dict__['storage']:
              if isinstance(el2, cuda.CudaNdarray):
                  arrays.append({'storage': numpy.asarray(el2),
                                 'name': el1.name})
              else:
                  logging.warning("was type %s. Do nothing." % type(el2))
                  logging.debug(el1.name)
      return arrays
docs: Get the matrices from a pickled files.
  
      Returns
      -------
      list
          List of all matrices.