python-pyopencl 2016.1+git20161003-1 (arm64 binary) in ubuntu zesty
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).
Details
- Package version:
- 2016.1+git20161003-1
- Status:
- Superseded
- Component:
- universe
- Priority:
- Optional
Downloadable files
- python-pyopencl_2016.1+git20161003-1_arm64.deb (277.9 KiB)
Package relationships
- Depends on:
- libc6 (>= 2.17)
- libgcc1 (>= 1:3.0)
- libstdc++6 (>= 6)
- mesa-opencl-icd
- ocl-icd-libopencl1
- ocl-icd-libopencl1 (>= 1.0)
- ocl-icd-libopencl1 (>= 1.0)
- ocl-icd-libopencl1 (>= 2.2.0)
- ocl-icd-libopencl1 (>= 2.2.8)
- python (<< 2.8)
- python (>= 2.7~)
- python (<< 2.8)
- python (>= 2.7.5-5~)
- python-appdirs (>= 1.4.0)
- python-cffi-backend-api-max (>= 9729)
- python-cffi-backend-api-min (<= 9729)
- python-decorator
- python-numpy (>= 1:1.10.0~b1)
- python-numpy-abi9
- python-pkg-resources
- python-pytools (>= 2015.1.2)
- python-six (>= 1.9.0)
- Replaces:
- Recommends: