Metadata-Version: 2.1
Name: pyronn-layers
Version: 0.0.2
Summary: Implementation of reconstruction operators in CUDA for Tensorflow for the PYRO-NN Framework
Home-page: https://github.com/csyben/PYRO-NN-Layers
Author: Christopher Syben
Author-email: christopher.syben@fau.de
License: GPLv3
Project-URL: Documentation, https://github.com/csyben/PYRO-NN-Layers
Description: .. image:: https://badge.fury.io/py/pyron-layers.svg
           :target: https://badge.fury.io/py/pyron-layers
           :alt: PyPI version
        
        .. image:: https://i10git.cs.fau.de/seitz/pyronn-layers/badges/master/pipeline.svg 
            :target: https://i10git.cs.fau.de/seitz/pyronn-layers
            :alt: Gitlab CI
            
        =============
        pyronn-layers
        =============
        
        
        This is a Python wrapper around `PYRO-NN-Layers <https://github.com/csyben/PYRO-NN-Layers>`_.
        Install it via
        
        .. code:: bash
        
           pip install pyronn-layers
        
        Or if you downloaded this `repository <https://github.com/theHamsta/pyronn.layers.git>`_
        
        .. code:: bash
        
           pip install -e .
        
        It uses `pystencils-autodiff <https://github.com/pycodegen/pystencils_autodiff>`_ to automatically compile the C++/CUDA source files.
        The code gets automatically recompiled if you make changes to the source files in the folder PYRO-NN-Layers.
        
        If you prefer pre-build versions of PYRO-NN-Layers go to the `Release page of PYRO-NN-Layers <https://github.com/csyben/PYRO-NN-Layers/releases>`_
        or download the latest artifacts from our CI (links only working if pipeline badge above is green):
        
          - `pyronn-layers.so for Ubuntu, tensorflow_gpu-1.14.0-cp37-cp37m-manylinux1_x86_64.whl <https://i10git.cs.fau.de/seitz/pyronn-layers/builds/artifacts/master/download?job=full>`_
        
        
        Requirements
        ------------
        
        You have a functioning toolchain for NVCC installed.
        ``nvcc`` must be available in ``PATH``.
        If compilation fails, you can change the selected compiler:
        http://pycodegen.pages.walberla.net/pystencils/sphinx/configuration.html?highlight=compiler
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Description-Content-Type: text/x-rst; charset=UTF-8
Provides-Extra: testing
