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ShuffleNet V2
=============
.. currentmodule:: torchvision.models
The ShuffleNet V2 model is based on the `ShuffleNet V2: Practical Guidelines for Efficient
CNN Architecture Design <https://arxiv.org/abs/1807.11164>`__ paper.
Model builders
--------------
The following model builders can be used to instantiate a ShuffleNetV2 model, with or
without pre-trained weights. All the model builders internally rely on the
``torchvision.models.shufflenetv2.ShuffleNetV2`` base class. Please refer to the `source
code
<https://github.com/pytorch/vision/blob/main/torchvision/models/shufflenetv2.py>`_ for
more details about this class.
.. autosummary::
:toctree: generated/
:template: function.rst
shufflenet_v2_x0_5
shufflenet_v2_x1_0
shufflenet_v2_x1_5
shufflenet_v2_x2_0
|
