Port details on branch 2022Q3 |
- onednn Intel(R) Math Kernel Library for Deep Neural Networks
- 2.6 math =0 2.6Version of this port present on the latest quarterly branch.
- Maintainer: yuri@FreeBSD.org
- Port Added: 2022-08-14 00:33:30
- Last Update: 2022-07-23 18:03:21
- Commit Hash: 91e7168
- 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.
WWW: https://01.org/onednn
- ¦ ¦ ¦ ¦
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - Dependency lines:
-
- To install the port:
- cd /usr/ports/math/onednn/ && make install clean
- To add the package, run one of these commands:
- pkg install math/onednn
- pkg install onednn
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.- PKGNAME: onednn
- Flavors: there is no flavor information for this port.
- NOT_FOR_ARCHS: armv6 armv7 i386 mips powerpc powerpcspe
- distinfo:
- TIMESTAMP = 1651423771
SHA256 (oneapi-src-oneDNN-v2.6_GH0.tar.gz) = 9695640f55acd833ddcef4776af15e03446c4655f9296e5074b1b178dd7a4fb2
SIZE (oneapi-src-oneDNN-v2.6_GH0.tar.gz) = 5840464
No package information for this port in our database- Sometimes this happens. Not all ports have packages.
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- cmake : devel/cmake
- ninja : devel/ninja
- There are no ports dependent upon this port
Configuration Options:
- ===> The following configuration options are available for onednn-2.6:
====> 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_onednn
- USES:
- cmake compiler:c++11-lang localbase:ldflags
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
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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 |
2.6 23 Jul 2022 18:03:21 |
Yuri Victorovich (yuri) |
math/onednn: Broken on systems where OpenMP isn't enabled
Reported by: fallout
(cherry picked from commit 0c581d00b14e65df205e0f45de259414ae3d63c6) |
Number of commits found: 1
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