code: def leaky_resnet152(pretrained=False, **kwargs):
      """Constructs a ResNet-152 model.
  
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet
      """
      model = ResNet(Bottleneck, [3, 8, 36, 3], **kwargs)
      if pretrained:
          raise NotImplementedError
      return model
  
imports: import torch
  import torch.nn
  import torch.utils.model_zoo
  from ..tools.custom_modules import SequentialWithArgs, FakeReLU
label_desc: Use image node_id 7 for calling a global function with example usage: leaky_resnet152(pretrained) and returns: model