Metadata-Version: 1.0
Name: onnxcustom
Version: 0.1.0
Summary: Custom ONNX operators and converters
Home-page: https://github.com/sdpython/onnxcustom
Author: Xavier Dupré
Author-email: xavier.dupre@gmail.com
License: UNKNOWN
Description: onnxcustom: custom ONNX
        =======================
        
        .. image:: https://raw.githubusercontent.com/sdpython/onnxcustom/master/doc/_static/logo.png
            :width: 50
        
        `documentation <http://www.xavierdupre.fr/app/onnxcustom/helpsphinx/index.html>`_
        
        Tutorial on how to convert machine learned models into ONNX,
        implement your own converter or runtime.
        The module must be compiled to be used inplace:
        
        ::
        
            python setup.py build_ext --inplace
        
        Generate the setup in subfolder ``dist``:
        
        ::
        
            python setup.py sdist
        
        Generate the documentation in folder ``dist/html``:
        
        ::
        
            python -m sphinx -T -b html doc dist/html
        
        Run the unit tests:
        
        ::
        
            python -m unittest discover tests
        
        Or:
        
        ::
        
            python -m pytest
            
        To check style:
        
        ::
        
            python -m flake8 onnxcustom tests examples
        
        The function *check* or the command line ``python -m onnxcustom check``
        checks the module is properly installed and returns processing
        time for a couple of functions or simply:
        
        ::
        
            import onnxcustom
            onnxcustom.check()
        
Platform: UNKNOWN
