pyopencl 2021.2.9-1 source package in Ubuntu
Changelog
pyopencl (2021.2.9-1) unstable; urgency=medium
* New upstream release.
* Re-add sphinxconfig.py to the package source to allow offline building and
customization.
* Refresh patches.
* Update dependency on pytools to 2021.2.7.
* Drop python3-pyopencl-dbg autopkgtest. (Closes: #996716)
* Cherry-pick "Skip test_mempool_32bit_issues on 32-bit machines".
-- Andreas Beckmann <email address hidden> Wed, 20 Oct 2021 23:35:38 +0200
Upload details
- Uploaded by:
- Debian OpenCL Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian OpenCL Maintainers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pyopencl_2021.2.9-1.dsc | 2.6 KiB | a4f63133a5965adf587a5d0e82aae94a520e1379bdb7cbffd407df7a917a0eb3 |
| pyopencl_2021.2.9.orig.tar.gz | 440.5 KiB | 51425e65ec49c738eefe21b1eeb1f39245b01cc0ddfd495fbe1f8df33dbc6c9e |
| pyopencl_2021.2.9-1.debian.tar.xz | 25.8 KiB | dd76736fbb22202d8173cf8f36eedde9f398180b20e3b777b1f123f539b58338 |
Available diffs
- diff from 2021.1.2-1build2 (in Ubuntu) to 2021.2.9-1 (65.8 KiB)
- diff from 2021.2.2-1 to 2021.2.9-1 (20.3 KiB)
No changes file available.
Binary packages built by this source
- python-pyopencl-doc: module to access OpenCL parallel computation API (documentation)
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 HTML documentation and example scripts.
- python3-pyopencl: 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.
- python3-pyopencl-dbgsym: debug symbols for python3-pyopencl
