class_docstr: MobileNetV2 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.
  * ``'lastconv'``: The input of the final global average pooling without ReLU activation.
  * ``'lastconv+relu'``: Network up to ``'lastconv'`` followed by ReLU activation.
  
  References:
      * `Sandelr et al., MobileNetV2: Inverted Residuals and Linear Bottlenecks.
        <https://arxiv.org/abs/1801.04381>`_
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code: def __init__(self):
      self._load_nnp(
          "MobileNet-v2.nnp", "MobileNet-v2/MobileNet-v2.nnp"
      )
  
file_path: nnabla/python/src/nnabla/models/imagenet/mobilenet.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 MobileNetV2 object from inherited base classes: ImageNetBase with example: obj = MobileNetV2()