| Port details |
- onednn252 Intel(R) Math Kernel Library for Deep Neural Networks
- 2.5.2 math
 =2      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: 2023-03-15 10:18:40
- Commit Hash: 3f9d30d
- People watching this port, also watch:: jdictionary, py311-Automat, py311-python-gdsii, py39-PyOpenGL, p5-Sane
- 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 - 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 mips 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: 1
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
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: 1
|
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