code: def resnet152(pretrained=True):
      model = ResNet(Bottleneck, [3, 8, 36, 3])
      if pretrained:
          load_weights_sequential(
              model, model_zoo.load_url(model_urls["resnet152"])
          )
      return model
  
imports: from collections import OrderedDict
  import math
  import re
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils import model_zoo
  from torchvision.models.densenet import DenseNet
  from torchvision.models.squeezenet import squeezenet1_1
label_desc: Use image node_id 10 for calling a global function with example usage: resnet152(pretrained) and returns: model