pygpu 0.2.0a-629-4 source package in Ubuntu
Changelog
pygpu (0.2.0a-629-4) unstable; urgency=low * Team upload. * Rebuild to add Python 2.7 support pygpu (0.2.0a-629-3) unstable; urgency=low * switch from python-central to dh_python2 (Closes: #616967) * debian/control: - switch to my Debian address - drop python-central - bump debhelper dependency to 7.0.50 - add version to python dependency - bump Standards-Version to 3.9.1 (no changes needed) - change XS-Python-Version to X-Python-Version - drop XB-Python-Version - add Breaks: ${python:Breaks} - add Provides: ${python:Provides} * add debian/source/format * add README.txt to new debian/python-pygpu.docs * add main.py, pygpu_test.py and data directory to new debian/python-pygpu.examples * debian/compat: - bump debhelper compatibility to 7 * debian/rules: - switch to simplified dh rules - don't compress .py files - add --install-layout=deb to setup.py install call * debian/copyright: - add myself to copyright holders of the Debian packaging -- Ubuntu Archive Auto-Sync <email address hidden> Tue, 10 May 2011 12:37:52 +0000
Upload details
- Uploaded by:
- Ubuntu Archive Auto-Sync
- Uploaded to:
- Oneiric
- Original maintainer:
- Debian Python Modules Team
- Architectures:
- all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pygpu_0.2.0a-629.orig.tar.gz | 196.3 KiB | 92d8f73358682fd9365f4d8755060ae74c0c7851bd25ec3f167e9053fcf707de |
pygpu_0.2.0a-629-4.diff.gz | 2.5 KiB | b2236bb71ef6336d0bb07cb2e4ef356489847576ae4073cdb028fefc1eb3b0c8 |
pygpu_0.2.0a-629-4.dsc | 1.9 KiB | 884d741c23729e4f2969ea1aef708d2d5c38d457fffb1c55b5a91fb396c695eb |
Available diffs
- diff from 0.2.0a-629-2 to 0.2.0a-629-4 (1.8 KiB)
Binary packages built by this source
- python-pygpu: embedded language for programming GPU using Python
PyGPU is a compiler that lets you write image processing programs in
Python that execute on the graphics processing unit (GPU) present in
modern graphics cards. This enables image processing algorithms to
take advantage of the performance of the GPU. In some applications,
performance increases approach an order of magnitude, compared to CPUs.