code: def preresnet152(**kwargs):
      """
      PreResNet-152 model from 'Identity Mappings in Deep Residual Networks,' https://arxiv.org/abs/1603.05027.
  
      Parameters:
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      root : str, default '~/.torch/models'
          Location for keeping the model parameters.
      """
      return get_preresnet(
          blocks=152, model_name="preresnet152", **kwargs
      )
  
imports: import numpy
  import torch
  from torch.autograd import Variable
  from pytorch2keras.converter import pytorch_to_keras
  import os
  import torch.nn
  import torch.nn.init
label_desc: Use image node_id 18 for calling a global function with example usage: preresnet152() and returns: get_preresnet