parameters: (**kwargs)
return_statement: return get_mobilenet_v2(1.0, **kwargs)
docstring: r"""MobileNetV2 model from the
      `"Inverted Residuals and Linear Bottlenecks:
      Mobile Networks for Classification, Detection and Segmentation"
      <https://arxiv.org/abs/1801.04381>`_ 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.
docstring_summary: r"""MobileNetV2 model from the
      `"Inverted Residuals and Linear Bottlenecks:
      Mobile Networks for Classification, Detection and Segmentation"
      <https://arxiv.org/abs/1801.04381>`_ paper.
docstring_tokens: r MobileNetV2 model from the Inverted Residuals and Linear Bottlenecks : Mobile Networks for Classification Detection and Segmentation <https : // arxiv . org / abs / 1801 . 04381 > _ paper .
function: def mobilenet_v2_1_0(**kwargs):
      r"""MobileNetV2 model from the
      `"Inverted Residuals and Linear Bottlenecks:
      Mobile Networks for Classification, Detection and Segmentation"
      <https://arxiv.org/abs/1801.04381>`_ 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.
      """
      return get_mobilenet_v2(1.0, **kwargs)
function_tokens: def mobilenet_v2_1_0 ( * * kwargs ) : return get_mobilenet_v2 ( 1.0 , * * kwargs )