{ "info": { "author": "Christopher Syben", "author_email": "christopher.syben@fau.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Programming Language :: Python" ], "description": ".. image:: https://badge.fury.io/py/pyronn-layers.svg\n :target: https://badge.fury.io/py/pyronn-layers\n :alt: PyPI version\n\n.. image:: https://i10git.cs.fau.de/seitz/pyronn-layers/badges/master/pipeline.svg \n :target: https://i10git.cs.fau.de/seitz/pyronn-layers\n :alt: Gitlab CI\n \n=============\npyronn-layers\n=============\n\n\nThis is a Python wrapper around `PYRO-NN-Layers `_.\nInstall it via\n\n.. code:: bash\n\n pip install pyronn-layers\n\nOr if you downloaded this `repository `_\n\n.. code:: bash\n\n pip install -e .\n\nIt uses `pystencils-autodiff `_ to automatically compile the C++/CUDA source files.\nThe code gets automatically recompiled if you make changes to the source files in the folder PYRO-NN-Layers.\n\nIf you prefer pre-build versions of PYRO-NN-Layers go to the `Release page of PYRO-NN-Layers `_\nor download the latest artifacts from our CI (links only working if pipeline badge above is green):\n\n - `pyronn-layers.so for Ubuntu, tensorflow_gpu-1.14.0-cp37-cp37m-manylinux1_x86_64.whl `_\n\n\nRequirements\n------------\n\nYou have a functioning toolchain for NVCC installed.\n``nvcc`` must be available in ``PATH``.\nIf compilation fails, you can change the selected compiler:\nhttp://pycodegen.pages.walberla.net/pystencils/sphinx/configuration.html?highlight=compiler", "description_content_type": "text/x-rst; 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