Metadata-Version: 2.1
Name: pyopencl-extension
Version: 0.0.14
Summary: This package builds on top of pyopencl by providing an elegant programming framework and debugging capabilities. 
Home-page: https://github.com/piveloper/pyopencl-extension
Author: piveloper
Author-email: piveloper@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8.0
Description-Content-Type: text/x-rst
Requires-Dist: numpy
Requires-Dist: pyopencl
Requires-Dist: mako
Requires-Dist: pycparser
Requires-Dist: pycparserext
Requires-Dist: pyastyle
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: check-manifest ; extra == 'dev'
Requires-Dist: twine ; extra == 'dev'
Requires-Dist: reikna ; extra == 'dev'



pyopencl-extension
==========================

This package builds on top of pyopencl by providing an elegant programming framework and debugging capabilities.

What makes pyopencl-extension special?
   * Build on top of pyopencl which can increase performance significantly.
   * Usage of this framework forces consistent code when programming for GPU.
   * Allows debugging of OpenCl-Programs through kernel emulation in Python using a visual debugger (tested with Pycharm).
   * OpenCl emulation allows to find out-of-bounds array indexing easily.
   * Integrated profiling features give quick overview over performance bottlenecks.
   * ...


Installation
=============

When automatic installation of pyopencl fails (happen using Windows):

    1. Download appropriate .whl binary from `PyOpenCl binaries for Windows <https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyopencl>`_

    2. Make sure to have `proper <https://streamhpc.com/blog/2015-03-16/how-to-install-opencl-on-windows/>`_ OpenCl driver for your graphics card installed.

    3. Run :code:`pip install "pyopencl-X-cpX-cpX-X.whl"` in terminal, where X must be replaced with corresponding version.

Usage
-----
One very simple example is given below.


.. code-block:: python

    from pyopencl.array import zeros
    from pyopencl_extension import Kernel, Global, Scalar, Thread, Types
    import numpy as np

    thread = Thread()
    ary = zeros(thread.queue, (10,), Types.short)

    knl = Kernel('some_operation',
                 {'buff': Global(ary),
                  'number': Scalar(Types.short(3))},
                 """
                    buff[get_global_id(0)] = get_global_id(0) + 3;
                   """,
                 global_size=ary.shape).compile(thread)
    knl()
    assert np.allclose(ary.get(), np.arange(10) + 3)

More advanced and useful example scenarios will be added in the future here.

