code: 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
  
file_path: mxnet/python/mxnet/gluon/model_zoo/vision/inception.py
imports: import os
  from ....device import cpu
  from ...block import HybridBlock
  from ...None import nn
  from ....None import base
  from ....util import use_np, wrap_ctx_to_device_func
label_desc: Use image node_id 9 for calling a global function with example usage: inception_v3(pretrained, device, root) and returns: net