onednn

oneAPI Deep Neural Network Library (oneDNN)

https://github.com/uxlfoundation/onednn

Science Score: 26.0%

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  • Scientific vocabulary similarity
    Low similarity (13.4%) to scientific vocabulary

Keywords

aarch64 amx avx512 bfloat16 cpp deep-learning deep-neural-networks library oneapi onednn openmp performance sycl tbb vnni x64 x86-64 xe-architecture

Keywords from Contributors

distributed tensors versions jax optimizing-compiler systemd init parallel system services
Last synced: 6 months ago · JSON representation

Repository

oneAPI Deep Neural Network Library (oneDNN)

Basic Info
Statistics
  • Stars: 3,873
  • Watchers: 173
  • Forks: 1,066
  • Open Issues: 131
  • Releases: 184
Topics
aarch64 amx avx512 bfloat16 cpp deep-learning deep-neural-networks library oneapi onednn openmp performance sycl tbb vnni x64 x86-64 xe-architecture
Created almost 10 years ago · Last pushed 6 months ago
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README.binary.in

oneAPI Deep Neural Network Library (oneDNN)
===========================================

oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform
performance library of basic building blocks for deep learning applications.
oneDNN is part of oneAPI (https://oneapi.io).
The library is optimized for Intel(R) Architecture Processors
and Intel Graphics.

oneDNN is intended for deep learning applications and framework
developers interested in improving application performance on CPUs and GPUs.

This package contains oneDNN v@PROJECT_VERSION@ (@DNNL_VERSION_HASH@).

You can find information about the latest version and release notes
at the oneDNN Github (https://github.com/uxlfoundation/oneDNN/releases).

Documentation
-------------

* Developer guide (https://uxlfoundation.github.io/oneDNN/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@)
  explains the programming model, supported functionality, and implementation
  details, and includes annotated examples.
* API reference (https://uxlfoundation.github.io/oneDNN/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@/modules.html)
  provides a comprehensive reference of the library API.
* Release Notes (https://github.com/uxlfoundation/oneDNN/releases/tag/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@)
  explain the new features, performance optimizations, and improvements
  implemented in each version of oneDNN.

System Requirements
-------------------

oneDNN supports systems based on Intel 64 or AMD64 architectures.

The library is optimized for the following CPUs:
* Intel Atom(R) processor (at least Intel SSE4.1 support is required)
* Intel Core(TM) processor (at least Intel SSE4.1 support is required)
* Intel Xeon(R) processor E3, E5, and E7 family (formerly Sandy Bridge,
  Ivy Bridge, Haswell, and Broadwell)
* Intel Xeon Scalable processor (formerly Skylake, Cascade Lake, Cooper
  Lake, Ice Lake, Sapphire Rapids, and Emerald Rapids)
* Intel Xeon CPU Max Series (formerly Sapphire Rapids HBM)
* Intel Core Ultra processors (formerly Meteor Lake, Arrow Lake,
  Lunar Lake, and Panther Lake)
* Intel Xeon 6 processors (formerly Sierra Forest and Granite Rapids)
* future Intel Core processor with Intel AVX10.2 instruction set support
  (code name Nova Lake)
* future Intel Xeon processor with Intel AVX10.2 instruction set support
  (code name Diamond Rapids)

oneDNN detects the instruction set architecture (ISA) at runtime and uses
just-in-time (JIT) code generation to deploy the code optimized
for the latest supported ISA. Future ISAs may have initial support in the
library disabled by default and require the use of run-time controls to enable
them. See CPU dispatcher control
(https://uxlfoundation.github.io/oneDNN/dev_guide_cpu_dispatcher_control.html)
for more details.

The library is optimized for the following GPUs:
* Intel Graphics for 11th-14th Generation Intel Core Processors
* Intel Iris Xe MAX Graphics (formerly DG1)
* Intel Arc(TM) A-Series Graphics (formerly Alchemist)
* Intel Data Center GPU Flex Series (formerly Arctic Sound)
* Intel Data Center GPU Max Series (formerly Ponte Vecchio)
* Intel Graphics and Intel Arc Graphics for Intel Core Ultra processors
  (formerly Meteor Lake, Arrow Lake and Lunar Lake)
* Intel Arc B-Series Graphics and Intel Arc Pro B-Series Graphics
  (formerly Battlemage)
* Intel Arc Graphics for future Intel Core Ultra processors
  (code name Panther Lake)

Support
-------

Submit questions, feature requests, and bug reports on the
GitHub issues page (https://github.com/uxlfoundation/oneDNN/issues).

License
-------

oneDNN is licensed under Apache License Version 2.0. Refer to the "LICENSE"
file for the full license text and copyright notice.

This distribution includes third party software governed by separate license
terms.

3-clause BSD license:
* Xbyak (https://github.com/herumi/xbyak)
* Instrumentation and Tracing Technology API (ITT API)
  (https://github.com/intel/ittapi)
* CMake (https://github.com/Kitware/CMake)

Boost Software License, Version 1.0:
* Boost C++ Libraries (https://www.boost.org/)

MIT License:
* Intel Graphics Compute Runtime for oneAPI Level Zero and OpenCL Driver
  (https://github.com/intel/compute-runtime)
* Intel Graphics Compiler (https://github.com/intel/intel-graphics-compiler)
* oneAPI Level Zero (https://github.com/oneapi-src/level-zero)
* Intel Metrics Discovery Application Programming Interface
  (https://github.com/intel/metrics-discovery)
* spdlog (https://github.com/gabime/spdlog)

This third party software, even if included with the distribution of
other software, may be governed by separate license terms, including
without limitation, third party license terms, other software license
terms, and open source software license terms. These separate license terms
govern your use of the third party programs as set forth in the
"THIRD-PARTY-PROGRAMS" file.

# Security

Security Policy (https://github.com/uxlfoundation/oneDNN/blob/main/SECURITY.md)
outlines our guidelines and procedures for ensuring the highest level
of Security and trust for our users who consume oneDNN.

# Trademark Information

Intel, the Intel logo, Arc, Intel Atom, Intel Core, Iris,
OpenVINO, the OpenVINO logo, Pentium, VTune, and Xeon are trademarks
of Intel Corporation or its subsidiaries.

Arm and Neoverse are trademarks, or registered trademarks of Arm Ltd.

\* Other names and brands may be claimed as the property of others.

Microsoft, Windows, and the Windows logo are trademarks, or registered
trademarks of Microsoft Corporation in the United States and/or other
countries.

OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission
by Khronos.

(C) Intel Corporation

Owner

  • Name: United Acceleration (UXL) Foundation
  • Login: uxlfoundation
  • Kind: organization
  • Location: United States of America

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 19,590
  • Total Committers: 341
  • Avg Commits per committer: 57.449
  • Development Distribution Score (DDS): 0.892
Past Year
  • Commits: 3,326
  • Committers: 105
  • Avg Commits per committer: 31.676
  • Development Distribution Score (DDS): 0.864
Top Committers
Name Email Commits
Dmitrii Zarukin d****n@i****m 2,112
Chereshnev, Eugene e****v@i****m 1,382
Fomenko, Evarist M e****o@i****m 1,215
Denis Samoilov d****v@i****m 1,102
Safonov, Igor i****v@i****m 951
Roy Oursler r****r@i****m 864
Soto Flores, Manuel m****s@i****m 580
Wierschem, Keola k****m@i****m 565
Andrey Kalinin a****n@i****m 565
Peter Caday p****y@i****m 546
Roman Dubtsov r****v@i****m 491
Barbieri, Kealan k****i@i****m 454
Mourad Gouicem m****m@i****m 448
Kassen, Andrew a****n@i****m 420
Srinivas Putta s****a@i****m 412
Lv, Tao A t****v@i****m 381
Pirogov, Vadim v****v@i****m 342
Daniel Youssif d****f@i****m 342
Sergey Kazakov s****v@i****m 311
Simon Ewing s****g@i****m 311
Andrey Kharitonchik a****k@i****m 288
Sadia, Haleema h****a@i****m 206
Shustrov, Nikita n****v@i****m 204
Arthur Mitrano a****o@i****m 201
Alok Bakshi a****i@i****m 195
Xuxin, Zeng x****g@i****m 193
Tomasz Czeszun t****n@i****m 169
Irina Sokolova i****a@i****m 148
Piotr Chmiel p****l@i****m 136
Bogusevschi, Silviu s****i@i****m 134
and 311 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 129
  • Total pull requests: 1,260
  • Average time to close issues: 29 days
  • Average time to close pull requests: 13 days
  • Total issue authors: 84
  • Total pull request authors: 92
  • Average comments per issue: 3.65
  • Average comments per pull request: 1.75
  • Merged pull requests: 731
  • Bot issues: 0
  • Bot pull requests: 25
Past Year
  • Issues: 38
  • Pull requests: 1,237
  • Average time to close issues: 19 days
  • Average time to close pull requests: 8 days
  • Issue authors: 34
  • Pull request authors: 84
  • Average comments per issue: 2.58
  • Average comments per pull request: 1.72
  • Merged pull requests: 717
  • Bot issues: 0
  • Bot pull requests: 25
Top Authors
Issue Authors
  • tensor-tang (12)
  • kruus (6)
  • uu-praveeng (5)
  • ligongzheng (5)
  • etaf (5)
  • CaoZhongZ (4)
  • sbodenstein (3)
  • haidj (3)
  • Serenagirl (3)
  • Ryo-not-rio (2)
  • xiang1guo (2)
  • luotao1 (2)
  • steenax86 (2)
  • caspell (2)
  • sj-leo (2)
Pull Request Authors
  • kealan-barbieri (76)
  • petercad (71)
  • dzarukin (70)
  • rjoursler (70)
  • atkassen (67)
  • echeresh (55)
  • TaoLv (47)
  • xuxinzen (35)
  • umar456 (31)
  • wzt1997 (29)
  • Simonsays095 (28)
  • spalicki (28)
  • hidefromkgb (27)
  • xiang1guo (27)
  • avmanerikar (27)
Top Labels
Issue Labels
question (50) bug (29) enhancement (17) sighting (17) platform:cpu-aarch64 (6) not a bug (4) documentation (2) platform:gpu-intel (2) duplicate (2) platform:cpu-x64 (2) platform:cpu-ppc64 (1) help wanted (1)
Pull Request Labels
platform:gpu-intel (375) component:tests (279) platform:cpu-x64 (186) backport (177) component:graph-api (176) documentation (113) component:common (96) devops (76) platform:cpu-aarch64 (74) component:build (51) component:api (46) bug (31) component:examples (30) RFC (25) platform:gpu-generic (21) third_party (19) platform:cpu-rv64 (12) performance (10) platform:gpu-nvidia (9) enhancement (6) platform:cpu-ppc64 (5) governance (5) platform:gpu-amd (5) platform:cpu-s390x (3)

Dependencies

doc/environment.yml conda
  • doxyrest 2.1.2.*
  • pip 21.1.2.*
  • python 3.9.5.*
  • sphinx 4.0.2.*
  • sphinx-book-theme 0.0.41.*