:mod:`fedlab_core.models.preact_resnet`
=======================================

.. py:module:: fedlab_core.models.preact_resnet

.. autoapi-nested-parse::

   Pre-activation ResNet in PyTorch.

   Reference:
   [1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
       Identity Mappings in Deep Residual Networks. arXiv:1603.05027



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

Classes
~~~~~~~

.. autoapisummary::

   fedlab_core.models.preact_resnet.PreActBlock
   fedlab_core.models.preact_resnet.PreActBottleneck
   fedlab_core.models.preact_resnet.PreActResNet



Functions
~~~~~~~~~

.. autoapisummary::

   fedlab_core.models.preact_resnet.PreActResNet18
   fedlab_core.models.preact_resnet.PreActResNet34
   fedlab_core.models.preact_resnet.PreActResNet50
   fedlab_core.models.preact_resnet.PreActResNet101
   fedlab_core.models.preact_resnet.PreActResNet152
   fedlab_core.models.preact_resnet.test


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


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

   Pre-activation version of the BasicBlock.

   .. attribute:: expansion
      :annotation: = 1

      

   .. method:: forward(self, x)



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


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

   Pre-activation version of the original Bottleneck module.

   .. attribute:: expansion
      :annotation: = 4

      

   .. method:: forward(self, x)



.. class:: PreActResNet(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:: PreActResNet18()


.. function:: PreActResNet34()


.. function:: PreActResNet50()


.. function:: PreActResNet101()


.. function:: PreActResNet152()


.. function:: test()