Bot releases are visible (Hide)
Published by vpirogov about 3 years ago
This is a technical preview for oneDNN Graph API based on oneDNN v2.3.2.
oneDNN Graph API extends oneDNN with a unified, high-level graph API for multiple AI hardware classes (CPU, GPU, accelerators). The graph interface integrates with the deep learning frameworks and inference engines to maximize opportunities for performance optimizations across a variety of hardware targets. This preview has full support for the oneAPI Graph programming model and partial support of the operations in oneDNN Graph API specification v0.7.
Learn more about oneDNN Graph API:
Backend implementation relies on oneDNN and includes performance optimizations for Intel Architecture processors with Intel SSE4.1, Intel AVX, Intel AVX2, or Intel AVX512 instruction set.
This release contains contributions from the project core teams as well as Jiong Gong, Pinzhen Xu, Chunyuan Wu, Jianping Chen, Scott Cyphers, Nishant Patel, Yiqiang Li, Yang Sheng, Kiefer Kuah, Adam Straw, Tim Zerrell, Namrata Choudhury and others.
Published by tprimak about 3 years ago
This is a patch release containing the following changes to v2.3.1:
Published by vpirogov about 3 years ago
This is a patch release containing the following changes to v2.3:
Published by vpirogov over 3 years ago
This release contains contributions from the project core team as well as Alexandre Truong @aletru01, Arthur Mitrano @aaraujom, fitchbe @fitchbe, Isuru Fernando @isuruf, Joe Ramsay @joeramsay, Kentaro Kawakami @kawakami-k, leizheng1 @leizheng1, Nomoto Kazuhiro @NomotoKazuhiro, Peter Caday @petercad, Pablo Romero @pablocum, Takumi-H @Takumi-Honda, Uwe L. Korn @xhochy, Vasily Rubtsov @vasilyru. We would also like to thank everyone who asked questions and reported issues.
Published by vpirogov over 3 years ago
This is a release candidate for oneDNN v2.3. Please provide feedback and submit defect reports via Github issues.
Published by vpirogov over 3 years ago
This is a patch release containing the following changes to v2.2.3:
unimplemented
when quantizing f32
weights to s8
(4f05b76bb765ed8a892be3325730992763025f0b, 5d3d1e18747f210a121cf00d909024ff7b5d8b16, cc77eef809d0331b245eb21a7956d507505700aa)gen12
architecture to xe
(3d202c205473daec426a6de3a32e074db372c09d)Published by vpirogov over 3 years ago
This is a release candidate for oneDNN v2.3. Please provide feedback and submit defect reports via Github issues.
Published by vpirogov over 3 years ago
This is a patch release containing the following changes to v2.2.2:
-fp-model=precise
build flag for DPC++ code (3e40e5e92ebcf40a9115827ce568d32c5049f74a)Published by tprimak over 3 years ago
This is a patch release containing the following changes to v2.2.1:
-std=c++11
build flag for DPC++ headers (1fcb867e37ef48c82ee2c720a0405ad4e6299300)-fp-model=precise
build flag for DPC++ code (3e40e5e92ebcf40a9115827ce568d32c5049f74a)Published by vpirogov over 3 years ago
This is a patch release containing the following changes to v2.2:
NaN
(e6d05ecf20a110f83bf037be99c6c5110bf4d981, dbca1e9370c49fa4fe0fa0b4a42a4fa86b6e64a6, 0326b096eff60a2813265dce1bcb31c12177023d, 0326b096eff60a2813265dce1bcb31c12177023d)per_oc
broadcast strategy (9ac85d8508658adf0b141844f2355448aa5a3a2a)-std=c++11
build flag for DPC++ code to align with SYCL standard (1b026f5e303649d9c0f98168a922e6f085001d3c)Published by vpirogov over 3 years ago
This is a patch release containing the following changes to v2.1.2:
Published by vpirogov over 3 years ago
dnnl_gemm
performance for cases with n=1
on all supported processors.sum
and relu
post-ops via ACL.mish
and hardswish
algorithms.This release contains contributions from the project core team as well as Aleksandr Nikolaev @alenik01, araki.kenichi @qnet-araki, Arthur Mitrano @aaraujom, Dr-Noob @Dr-Noob, Gmc2 @GHGmc2, higuchi.motoko @higuchi-motoko, Joe Ramsay @joeramsay, Kentaro Kawakami @kawakami-k, Louie Tsai @louie-tsai, masafumi yamazaki @m-ymzk, Nathan John Sircombe @nSircombe, Takumi-H @Takumi-Honda. We would also like to thank everyone who asked questions and reported issues.
Published by tprimak over 3 years ago
This is a patch release containing the following changes to v2.1.1:
Published by vpirogov over 3 years ago
This is a release candidate for oneDNN v2.2. Please provide feedback and submit defect reports via Github issues.
Published by vpirogov over 3 years ago
This is a patch release containing the following changes to v2.1:
--std=c++14
(f637501d41e0d9a1515430a5530fca53fe656903)Published by anita-intel over 3 years ago
Reduced overheads associated with primitive cache.
Intel Processor Graphics and Xe architecture-based Graphics:
Intel Architecture processors
AArch64-based processors
NVIDIA GPUs
logsigmoid
and clip_v2
algorithms.This release contains contributions from the project core team as well as Alejandro Alvarez, Aleksandr Nikolaev @alenik01, araki.kenichi @qnet-araki, Arthur Mitrano @aaraujom, Benjamin Fitch, Ben Tracy @CodeplayBen, Daniel Soutar @danielsoutar, @dylan-angus-codeplay, Diana Bite @diaena, higuchi.motoko @higuchi-motoko, Jacob Kahn @jacobkahn, Kentaro Kawakami @kawakami-k, Kumudha KN @KumudhaN, kurihara @Koji-Kurihara, Mehdi Goli @mehdi-goli, Nathan John Sircombe @nSircombe, Peter Caday @petercad, Rafik Saliev @rfsaliev, Xinyu Chen @xinyu-intel, yuri@FreeBSD @yurivict. We would also like to thank everyone who asked questions and reported issues.
Published by anita-intel over 3 years ago
This is a release candidate for oneDNN v2.1. Please provide feedback and report bugs in Github issues.
Published by vpirogov almost 4 years ago
This is a patch release containing the following changes to v1.8:
Published by vpirogov almost 4 years ago
This release contains contributions from the project core team as well as Alejandro Alvarez, Aleksandr Nikolaev @alenik01, Arthur Mitrano @aaraujom, Benjamin Fitch, Diana Bite @diaena, Kentaro Kawakami @kawakami-k, Nathan John Sircombe @nSircombe, Peter Caday @petercad, Rafik Saliev @rfsaliev, yuri@FreeBSD @yurivict. We would also like to thank everyone who asked questions and reported issues.
Published by anita-intel almost 4 years ago
This is a major oneDNN release based on oneDNN v1.7.
Binary distribution of this software is available as Intel(R) oneAPI Deep Neural Network Library in Intel(R) oneAPI.
dnnl_ocl.hpp
.dnnl_threadpool.hpp
.dnnl::threadpool_interop::make_stream
.