| Port details |
- onednn252 Intel(R) Math Kernel Library for Deep Neural Networks
- 2.5.2 math
 =0      2.5.2Version of this port present on the latest quarterly branch. - Maintainer: yuri@FreeBSD.org
- Port Added: 2023-03-15 10:21:08
- Last Update: 2026-05-07 21:47:29
- Commit Hash: 2a7c056
- License: APACHE20
- WWW:
- https://01.org/onednn
- Description:
- 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.
  ¦  ¦  ¦  ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- onednn252>0:math/onednn252
- To install the port:
- cd /usr/ports/math/onednn252/ && make install clean
- To add the package, run one of these commands:
- pkg install math/onednn252
- pkg install onednn252
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.- PKGNAME: onednn252
- Flavors: there is no flavor information for this port.
- NOT_FOR_ARCHS: armv6 armv7 i386 powerpc powerpcspe
- distinfo:
- TIMESTAMP = 1678870409
SHA256 (oneapi-src-oneDNN-v2.5.2_GH0.tar.gz) = 11d50235afa03571dc70bb6d96a98bfb5d9b53e8c00cc2bfbde78588bd01f6a3
SIZE (oneapi-src-oneDNN-v2.5.2_GH0.tar.gz) = 5807898
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- cmake : devel/cmake-core
- ninja : devel/ninja
- Test dependencies:
-
- bash : shells/bash
- libsysinfo>0 : devel/libsysinfo
- This port is required by:
- for Libraries
-
- misc/flashlight
Configuration Options:- ===> The following configuration options are available for onednn252-2.5.2:
====> Use CPU-specific optimizations: you have to select exactly one of them
SIMD_DEFAULT=on: Default, no non-default SIMD instructions are used
SIMD_NATIVE=off: Optimize for this CPU
SIMD_SSE41=off: Use SSE4.1 instructions
====> Threading runtime for CPU engines: you have to select exactly one of them
OPENMP=on: Parallel processing support via OpenMP
TBB=off: Threading Building Blocks
SEQ=off: Sequential (no parallelism)
THREADPOOL_STANDALONE=off: Threadpool based on the standalone implementation
THREADPOOL_EIGEN=off: Threadpool based on the Eigen implementation
THREADPOOL_TBB=off: Threadpool based on the TBB implementation
===> Use 'make config' to modify these settings
- Options name:
- math_onednn252
- USES:
- cmake compiler:c++11-lang localbase:ldflags
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 2
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
2.5.2
07 May 2026 21:47:29
 |
Rene Ladan (rene) |
all: drop support for FreeBSD 13, mips and risc64sf
Reviewed by: many (*)
Differential Revision: https://reviews.freebsd.org/D55624
Differential Revision: https://reviews.freebsd.org/D55642 (merged in from bofh)
many (*)
acm arrowd brooks cmt dch decke dinoex eduardo fluffy fuz gahr garga
jbeich joerg jrm kai kenrap martymac matthew mfechner michaelo mizhka
nobutaka pkubaj se tagattie thj
Anton Saietskii
GenericRikka
Gert Doering
Jan Bramkamp
Oleh Hushchenkov
Oleksandr Kryvulia
Ralf van der Enden
Yamagi
desktop kde python tcltk office |
2.5.2
15 Mar 2023 10:18:40
|
Yuri Victorovich (yuri) |
math/onednn252: New port: Intel(R) Math Kernel Library for Deep Neural Networks
Resurrect onednn-2.5.2 for math/flashlight. |
Number of commits found: 2
|
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