code: def inception_v3(pretrained=False, ctx=cpu(),
                   root=os.path.join(base.data_dir(), 'models'), **kwargs):
      r
      net = Inception3(**kwargs)
      if pretrained:
          from ..model_store import get_model_file
          net.load_parameters(get_model_file('inceptionv3', root=root), ctx=ctx)
      return net
docs: 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.
      ctx : Context, default CPU
          The context in which to load the pretrained weights.
      root : str, default $MXNET_HOME/models
          Location for keeping the model parameters.