parameters: (pretrained=False, **kwargs)
return_statement: return model
docstring: Constructs a ResNet-152 model.
  
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet.
  
      Returns:
          The created ResNet-152 model.
docstring_summary: Constructs a ResNet-152 model.
docstring_tokens: Constructs a ResNet - 152 model .
function: 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
function_tokens: def resnet152 ( pretrained = False , * * kwargs ) : model = ResNet ( Bottleneck , [ 3 , 8 , 36 , 3 ] , * * kwargs ) return model