parameters: (**kwargs)
return_statement: return get_resnet(2, 50, **kwargs)
docstring: r"""ResNet-50 V2 model from `"Identity Mappings in Deep Residual Networks"
      <https://arxiv.org/abs/1603.05027>`_ paper.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      device : Device, default CPU
          The device in which to load the pretrained weights.
      root : str, default '$MXNET_HOME/models'
          Location for keeping the model parameters.
docstring_summary: r"""ResNet-50 V2 model from `"Identity Mappings in Deep Residual Networks"
      <https://arxiv.org/abs/1603.05027>`_ paper.
docstring_tokens: r ResNet - 50 V2 model from Identity Mappings in Deep Residual Networks <https : // arxiv . org / abs / 1603 . 05027 > _ paper .
function: def resnet50_v2(**kwargs):
      r"""ResNet-50 V2 model from `"Identity Mappings in Deep Residual Networks"
      <https://arxiv.org/abs/1603.05027>`_ paper.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      device : Device, default CPU
          The device in which to load the pretrained weights.
      root : str, default '$MXNET_HOME/models'
          Location for keeping the model parameters.
      """
      return get_resnet(2, 50, **kwargs)
function_tokens: def resnet50_v2 ( * * kwargs ) : return get_resnet ( 2 , 50 , * * kwargs )