class_docstr: InceptionV3 architecture.
  
  The following is a list of string that can be specified to ``use_up_to`` option in ``__call__`` method;
  
  * ``'classifier'`` (default): The output of the final affine layer for classification.
  * ``'pool'``: The output of the final global average pooling.
  * ``'prepool'``: The input of the final global average pooling, i.e. the output of the final inception block.
  
  References:
      * `Szegedy et al., Rethinking the Inception Architecture for Computer Vision.
        <https://arxiv.org/abs/1512.00567>`_
code: def __init__(self):
      self._load_nnp(
          "Inception-v3.nnp", "Inception-v3/Inception-v3.nnp"
      )
  
file_path: nnabla/python/src/nnabla/models/imagenet/inception.py
imports: from __future__ import absolute_import
  from nnabla.utils.nnp_graph import NnpNetworkPass
  from .base import ImageNetBase
label_desc: Use image node_id 1 to create a new InceptionV3 object from inherited base classes: ImageNetBase with example: obj = InceptionV3()