parameters: (pretrained=False, device=cpu(),
                   root=os.path.join(base.data_dir(), 'models'), **kwargs)
return_statement: return net
docstring: r"""Inception v3 model from
      `"Rethinking the Inception Architecture for Computer Vision"
      <http://arxiv.org/abs/1512.00567>`_ 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"""Inception v3 model from
      `"Rethinking the Inception Architecture for Computer Vision"
      <http://arxiv.org/abs/1512.00567>`_ paper.
docstring_tokens: r Inception v3 model from Rethinking the Inception Architecture for Computer Vision <http : // arxiv . org / abs / 1512 . 00567 > _ paper .
function: def inception_v3(pretrained=False, device=cpu(),
                   root=os.path.join(base.data_dir(), 'models'), **kwargs):
      r"""Inception v3 model from
      `"Rethinking the Inception Architecture for Computer Vision"
      <http://arxiv.org/abs/1512.00567>`_ 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.
      """
      net = Inception3(**kwargs)
      if pretrained:
          from ..model_store import get_model_file
          net.load_parameters(get_model_file('inceptionv3', root=root), device=device)
      return net
function_tokens: def inception_v3 ( pretrained = False , device = cpu ( ) , root = os . path . join ( base . data_dir ( ) , 'models' ) , * * kwargs ) : net = Inception3 ( * * kwargs ) if pretrained : from . . model_store import get_model_file net . load_parameters ( get_model_file ( 'inceptionv3' , root = root ) , device = device ) return net