Ubuntu
caffe package

caffe 1.0.0+git20180821.99bd997-5build2 source package in Ubuntu

Changelog

caffe (1.0.0+git20180821.99bd997-5build2) focal; urgency=medium

  * No-change upload for opencv soname changes.

 -- Matthias Klose <email address hidden>  Sun, 02 Feb 2020 09:17:04 +0100

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
caffe_1.0.0+git20180821.99bd997.orig.tar.gz 8.1 MiB e0eb3f06794f7402c77b7dec8e8480273ee1a1bb192e9122b621a69d4147ad0c
caffe_1.0.0+git20180821.99bd997-5build2.debian.tar.xz 15.3 KiB 51b27c2ae2b4ac880024644e9375632f2acb2e8eae28ee099889539005ff6508
caffe_1.0.0+git20180821.99bd997-5build2.dsc 3.1 KiB 14cdfd592a1f6110ed6bb7b15e7ea4bf2447af1194304830bb24b808dcd8bb36

View changes file

Binary packages built by this source

caffe-cpu: Fast, open framework for Deep Learning (Meta)

 Caffe is a deep learning framework made with expression, speed,
 and modularity in mind. It is developed by the Berkeley AI Research
 Lab (BAIR) and community contributors.
 .
 This metapackage pulls CPU_ONLY version of caffe:
  * caffe-tools-cpu
  * libcaffe-cpu*
  * python3-caffe-cpu
 And suggests these packages:
  * libcaffe-cpu-dev
  * caffe-doc
 .
 Note, this CPU_ONLY version cannot co-exist with the CUDA version.

caffe-doc: Caffe's doxygen docs and examples

 Caffe is a deep learning framework made with expression, speed,
 and modularity in mind. It is developed by the Berkeley AI Research
 Lab (BAIR) and community contributors.
 .
 This package contains doxygen documents (both HTML version and
 PDF version) and some other documents and examples.
 .
 The HTML doc can be found here: /usr/share/doc/caffe-doc/html/index.html
 The PDF doc can be found here: /usr/share/doc/caffe-doc/refman.pdf.gz

caffe-tools-cpu: Tools for fast, open framework for Deep Learning (CPU_ONLY)

 Caffe is a deep learning framework made with expression, speed,
 and modularity in mind. It is developed by the Berkeley AI Research
 Lab (BAIR) and community contributors.
 .
 It contains caffe executables, configured as CPU_ONLY.
 .
 Issue this command at the root of caffe source tree for a unit test:
   $ caffe-gtest --gtest_shuffle --gtest_filter="-*GPU*"

caffe-tools-cpu-dbgsym: debug symbols for caffe-tools-cpu
libcaffe-cpu-dev: development files for Caffe (CPU_ONLY)

 Caffe is a deep learning framework made with expression, speed,
 and modularity in mind. It is developed by the Berkeley AI Research
 Lab (BAIR) and community contributors.
 .
 It contains development files of caffe.

libcaffe-cpu1: library of Caffe, deep learning framework (CPU_ONLY)

 Caffe is a deep learning framework made with expression, speed,
 and modularity in mind. It is developed by the Berkeley AI Research
 Lab (BAIR) and community contributors.
 .
 It contains caffe shared library, configured as CPU_ONLY.

libcaffe-cpu1-dbgsym: debug symbols for libcaffe-cpu1
python3-caffe-cpu: Python3 interface of Caffe (CPU_ONLY)

 Caffe is a deep learning framework made with expression, speed,
 and modularity in mind. It is developed by the Berkeley AI Research
 Lab (BAIR) and community contributors.
 .
 It contains python3 interface of caffe, configured as CPU_ONLY.

python3-caffe-cpu-dbgsym: debug symbols for python3-caffe-cpu