Pacote: python-pyopencl (2018.2.2-1)

[ Fonte: pyopencl  ]

Python 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).

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Download de python-pyopencl

Baixe para todas as arquiteturas disponíveis

Arquitetura	Tamanho do pacote	Tamanho instalado	Arquivos
amd64	391.7 kB	1,864.0 kB	[lista de arquivos]
arm64	363.1 kB	1,876.0 kB	[lista de arquivos]
armhf	360.6 kB	1,529.0 kB	[lista de arquivos]
i386	404.8 kB	1,904.0 kB	[lista de arquivos]