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[ 源代码: pyopencl  ]

软件包: python3-pyopencl (2017.2.2-1)

Python 3 module to access OpenCL parallel computation API

PyOpenCL lets you access the OpenCL parallel computation API from Python. Here's what sets PyOpenCL apart:

 * Object cleanup tied to lifetime of objects. This idiom, often called
   RAII 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.
 * Convenience. While PyOpenCL's primary focus is to make all of OpenCL
   accessible, it tries hard to make your life less complicated as it
   does so--without taking any shortcuts.
 * Automatic Error Checking. All OpenCL 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, complete documentation and a wiki.
 * Liberal licensing (MIT).

This package contains Python 3 modules.

其他与 python3-pyopencl 有关的软件包

  • 依赖
  • 推荐
  • 建议
  • rec: python-pyopencl-doc
    module to access OpenCL parallel computation API (documentation)
  • rec: python3-mako
    fast and lightweight templating for the Python 3 platform
  • sug: python3-imaging-tk
    软件包暂时不可用
  • sug: python3-matplotlib
    Python based plotting system in a style similar to Matlab (Python 3)
  • sug: python3-opengl
    Python bindings to OpenGL (Python 3)
  • sug: python3-pyopencl-dbg
    Python 3 module to access OpenCL API (debug extensions)
  • sug: python3-pytest
    Simple, powerful testing in Python3

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