File: control

package info (click to toggle)
mkl-dnn 2.0~beta4-1
  • links: PTS, VCS
  • area: main
  • in suites: sid
  • size: 21,480 kB
  • sloc: cpp: 234,866; ansic: 9,380; lisp: 8,844; python: 214; xml: 182; sh: 65; makefile: 46
file content (68 lines) | stat: -rw-r--r-- 3,171 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
Source: mkl-dnn
Section: science
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>
Build-Depends: cmake, debhelper-compat (= 12), doxygen, graphviz, ninja-build,
 ocl-icd-opencl-dev,
Standards-Version: 4.4.0
Homepage: https://github.com/intel/mkl-dnn
Vcs-Browser: https://salsa.debian.org/science-team/mkl-dnn
Vcs-Git: https://salsa.debian.org/science-team/mkl-dnn.git

Package: libmkldnn-dev
Section: libdevel
Architecture: amd64
Multi-Arch: same
Depends: libmkldnn1 (= ${binary:Version}), ${misc:Depends}, ${shlibs:Depends},
Recommends: ocl-icd-opencl-dev,
Description: Intel Math Kernel Library for Deep Neural Networks (dev)
 Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is
 an open source performance library for deep learning applications. The library
 accelerates deep learning applications and framework on Intel(R) architecture.
 Intel(R) MKL-DNN contains vectorized and threaded building blocks which you
 can use to implement deep neural networks (DNN) with C and C++ interfaces.
 .
 DNN functionality optimized for Intel architecture is also included in
 Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation
 is not compatible with Intel MKL-DNN and does not include certain new and
 experimental features.
 .
 This package contains the header files, and symbol links to the shared object.

Package: libmkldnn1
Section: libs
Architecture: amd64
Multi-Arch: same
Depends: ${misc:Depends}, ${shlibs:Depends}
Description: Intel Math Kernel Library for Deep Neural Networks (lib)
 Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is
 an open source performance library for deep learning applications. The library
 accelerates deep learning applications and framework on Intel(R) architecture.
 Intel(R) MKL-DNN contains vectorized and threaded building blocks which you
 can use to implement deep neural networks (DNN) with C and C++ interfaces.
 .
 DNN functionality optimized for Intel architecture is also included in
 Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation
 is not compatible with Intel MKL-DNN and does not include certain new and
 experimental features.
 .
 This package contains the shared object.

Package: libmkldnn-doc
Section: doc
Architecture: all
Depends: libjs-mathjax, ${misc:Depends}
Description: Intel Math Kernel Library for Deep Neural Networks (doc)
 Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is
 an open source performance library for deep learning applications. The library
 accelerates deep learning applications and framework on Intel(R) architecture.
 Intel(R) MKL-DNN contains vectorized and threaded building blocks which you
 can use to implement deep neural networks (DNN) with C and C++ interfaces.
 .
 DNN functionality optimized for Intel architecture is also included in
 Intel(R) Math Kernel Library (Intel(R) MKL). API in this implementation
 is not compatible with Intel MKL-DNN and does not include certain new and
 experimental features.
 .
 This package contains the doxygen documentation.