Metadata-Version: 2.1
Name: torch-layers
Version: 0.1.2
Summary: UNKNOWN
Home-page: https://github.com/justusschock/torch_layers
Author: Justus Schock
Author-email: justus.schock@rwth-aachen.de
License: BSD 2-Clause License
Requires-Dist: torch (>=1.0.0)
Requires-Dist: pytest-cov

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

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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Description: # Custom PyTorch layers
        
        [![Build Status](https://travis-ci.com/justusschock/torch_layers.svg?branch=master)](https://travis-ci.com/justusschock/torch_layers) [![codecov](https://codecov.io/gh/justusschock/torch_layers/branch/master/graph/badge.svg)](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
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
