Metadata-Version: 2.1
Name: pyopencl
Version: 2019.1.1
Summary: Python wrapper for OpenCL
Home-page: http://mathema.tician.de/software/pyopencl
Author: Andreas Kloeckner
Author-email: inform@tiker.net
License: MIT
Description: PyOpenCL: Pythonic Access to OpenCL, with Arrays and Algorithms
        ---------------------------------------------------------------
        
        .. image:: https://gitlab.tiker.net/inducer/pyopencl/badges/master/pipeline.svg
           :target: https://gitlab.tiker.net/inducer/pyopencl/commits/master
        .. image:: https://badge.fury.io/py/pyopencl.png
           :target: http://pypi.python.org/pypi/pyopencl
        
        (Also: `Travis CI <https://travis-ci.org/inducer/pyopencl/builds>`_ to build binary wheels for releases, see `#264 <https://github.com/inducer/pyopencl/pull/264>`_)
        
        PyOpenCL lets you access GPUs and other massively parallel compute
        devices from Python. It tries to offer computing goodness in the
        spirit of its sister project `PyCUDA <http://mathema.tician.de/software/pycuda>`_:
        
        * Object cleanup tied to lifetime of objects. This idiom, often
          called
          `RAII <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
          in C++, makes it much easier to write correct, leak- and
          crash-free code.
        
        * Completeness. PyOpenCL puts the full power of OpenCL's API at
          your disposal, if you wish.  Every obscure `get_info()` query and 
          all CL calls are accessible.
        
        * Automatic Error Checking. All CL errors are automatically
          translated into Python exceptions.
        
        * Speed. PyOpenCL's base layer is written in C++, so all the niceties
          above are virtually free.
        
        * Helpful and complete `Documentation <http://documen.tician.de/pyopencl>`__
          as well as a `Wiki <http://wiki.tiker.net/PyOpenCL>`_.
        
        * Liberal license. PyOpenCL is open-source under the 
          `MIT license <http://en.wikipedia.org/wiki/MIT_License>`_
          and free for commercial, academic, and private use.
        
        * Broad support. PyOpenCL was tested and works with Apple's, AMD's, and Nvidia's 
          CL implementations.
        
        Simple 4-step `install instructions <https://documen.tician.de/pyopencl/misc.html#installation>`_
        using Conda on Linux and macOS (that also install a working OpenCL implementation!)
        can be found in the `documentation <https://documen.tician.de/pyopencl/>`__.
        
        What you'll need if you do *not* want to use the convenient instructions above and
        instead build from source:
        
        *   gcc/g++ new enough to be compatible with pybind11
            (see their `FAQ <https://pybind11.readthedocs.io/en/stable/faq.html>`_)
        *   `numpy <http://numpy.org>`_, and
        *   an OpenCL implementation. (See this `howto <http://wiki.tiker.net/OpenCLHowTo>`_ for how to get one.)
        
        Places on the web related to PyOpenCL:
        
        * `Python package index <http://pypi.python.org/pypi/pyopencl>`_ (download releases)
        
        * `Documentation <http://documen.tician.de/pyopencl>`__ (read how things work)
        * `Conda Forge <https://anaconda.org/conda-forge/pyopencl>`_ (download binary packages for Linux, macOS, Windows)
        * `C. Gohlke's Windows binaries <http://www.lfd.uci.edu/~gohlke/pythonlibs/#pyopencl>`_ (download Windows binaries)
        * `Github <http://github.com/inducer/pyopencl>`_ (get latest source code, file bugs)
        * `Wiki <http://wiki.tiker.net/PyOpenCL>`_ (read installation tips, get examples, read FAQ)
        
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Provides-Extra: pocl
Provides-Extra: oclgrind
