torch-layers 0.1.2

Copyright (c) 2019, Justus Schock All rights reserved.

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Description: # Custom PyTorch layers

[](https://travis-ci.com/justusschock/torch_layers) [](https://codecov.io/gh/justusschock/torch_layers)

This repository implements various layers (either to replace deprecated layers of [torch](https://github.com/pytorch/pytorch) or to add useful new features or to encapsulate parts of the functional API into layers).

Currently the following layers are implemented:

• [Conv2dWithSamePadding](torch_layers/conv_padding_same) [[docs]](https://justusschock.github.io/torch_layers/_api/_build/torch_layers/conv_padding_same.html)

• [ActivationConv](torch_layers/activation_conv) [[docs]](https://justusschock.github.io/torch_layers/_api/_build/torch_layers/activation_conv.html)

• [MaxPool2dSamePadding](torch_layers/maxpool_padding_same) [[docs]](https://justusschock.github.io/torch_layers/_api/_build/torch_layers/maxpool_padding_same.html)

• [Upsample](torch_layers/upsample) [[docs]](https://justusschock.github.io/torch_layers/_api/_build/torch_layers/upsample.html)

• [View](torch_layers/view) [[docs]](https://justusschock.github.io/torch_layers/_api/_build/torch_layers/view.html)

## Installation

This package can be installed via pip with: ` pip install torch_layers `

or from source via:

` pip install git+https://github.com/justusschock/torch_layers `

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