code: def __init__(self, pooling):
      super(WideResNet, self).__init__()
      self.pooling = pooling
      self.params = params
  
file_path: pretrained-models.pytorch/pretrainedmodels/models/wideresnet.py
imports: from __future__ import print_function, division, absolute_import
  import os
  from os.path import expanduser
  import hickle
  import torch
  import torch.nn.functional
  from torch.autograd import Variable
label_desc: Use image node_id 1 to create a new WideResNet object from inherited base classes: nn with example: obj = WideResNet(pooling)