Metadata-Version: 1.1
Name: primitiv
Version: 0.4.0.dev231
Summary: primitiv: A Neural Network Toolkit. (Python frontend)
Home-page: https://github.com/primitiv/primitiv-python
Author: primitiv developer group
Author-email: primitiv-developer-group@googlegroups.com
License: UNKNOWN
Description: primitiv: A Neural Network Toolkit. (Python frontend)
        =====================================================
        
        
        Features
        --------
        
        - Dynamic and incremental graph construction
        - On-demand memory allocation
        - Automatic minibatch broadcasting
        - Mostly device-independent
        - Simple usage
        
        
        Install
        -------
        
        Prerequisites:
        
        - Python 3 (3.5 or later)
        - NumPy (1.11.0 or later)
        - Cython (0.27 or later)
        - CMake (3.1.0 or later)
        - scikit-build (0.6.1 or later)
        - (optional) CUDA (7.5 or later)
        - (optional) OpenCL (1.2 or later) and OpenCL C++ binding v2
        
        Install required packages::
        
            pip3 install numpy cython cmake scikit-build
        
        Build and install primitiv without CUDA and OpenCL::
        
            pip3 install primitiv
        
        Build and install primitiv with CUDA and/or OpenCL support::
        
            # Enable only CUDA
            pip3 install primitiv --global-option --enable-cuda
        
            # Enable both CUDA and OpenCL
            pip3 install primitiv --global-option --enable-cuda --global-option --enable-opencl
        
        ``--enable-eigen`` flag that enables ``Eigen`` backend is added by default in
        the package contained in PyPI. To disable the Eigen backend, use
        ``--disable-eigen`` flag. Note that Eigen is bundled with the package contained
        in PyPI.
        
        
        Notes
        -----
        
        We are providing only a source pacakge for now, and ``pip`` command
        downloads the source package and builds it before installing.
        This is mainly because of keeping compatibility with the ``manylinux1`` standard
        described in `PEP 513 <https://www.python.org/dev/peps/pep-0513/>`_
        while maintaining supports of non-standard backends such as CUDA/OpenCL.
        
        
        Resources
        ---------
        
        * `Official repository <https://github.com/primitiv/primitiv-python>`_
        * `Examples <https://github.com/primitiv/primitiv-python/tree/develop/examples>`_
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
