:mod:`fedlab_core.models.senet`
===============================

.. py:module:: fedlab_core.models.senet

.. autoapi-nested-parse::

   SENet in PyTorch.

   SENet is the winner of ImageNet-2017. The paper is not released yet.



Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   fedlab_core.models.senet.BasicBlock
   fedlab_core.models.senet.PreActBlock
   fedlab_core.models.senet.SENet



Functions
~~~~~~~~~

.. autoapisummary::

   fedlab_core.models.senet.SENet18
   fedlab_core.models.senet.test


.. class:: BasicBlock(in_planes, planes, stride=1)


   Bases: :class:`torch.nn.Module`

   .. method:: forward(self, x)



.. class:: PreActBlock(in_planes, planes, stride=1)


   Bases: :class:`torch.nn.Module`

   .. method:: forward(self, x)



.. class:: SENet(block, num_blocks, num_classes=10)


   Bases: :class:`torch.nn.Module`

   .. method:: _make_layer(self, block, planes, num_blocks, stride)


   .. method:: forward(self, x)



.. function:: SENet18()


.. function:: test()