code: def get_fast_weights(self):
      fast_weights = OrderedDict(
          (name, param) for (name, param) in self.named_parameters()
      )
      return fast_weights
  
imports: import unittest
  import copy
  from collections import OrderedDict
  import numpy
  import torch
  from torch import nn, optim
  from torch.nn import functional
  import higher
label_desc: Use image node_id 5 for calling the _ReferenceNet obj's underlying member method code with example usage: obj.get_fast_weights() and returns: fast_weights