code: def resnet152(pretrained=False, **kwargs):
      """Constructs a ResNet-152 model.
  
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet.
  
      Returns:
          The created ResNet-152 model.
      """
      model = ResNet(Bottleneck, [3, 8, 36, 3], **kwargs)
  
      return model
  
imports: from singa import layer
  from singa import model
label_desc: Use image node_id 6 for calling a global function with example usage: resnet152(pretrained) and returns: model