Fedora 38 Update: onednn-3.1-1.fc38

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Fedora Update Notification
FEDORA-2023-34ee5fba4e
2023-05-13 02:26:00.550596
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Name        : onednn
Product     : Fedora 38
Version     : 3.1
Release     : 1.fc38
URL         : https://github.com/oneapi-src/oneDNN/
Summary     : oneAPI Deep Neural Network Library
Description :
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. The library is optimized for Intel(R) Architecture
Processors, Intel Graphics, and Arm* 64-bit Architecture (AArch64)-based
processors. oneDNN has experimental support for the following architectures:
NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V.

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

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Update Information:

Update to 3.1:  Performance Optimizations      Intel Architecture Processors:
Improved performance for 4th generation Intel Xeon Scalable processor (formerly
Sapphire Rapids).         Introduced initial optimizations for future Intel Xeon
Scalable processor (code name Sierra Forest). The functionality is disabled by
default and should be enabled via CPU dispatcher control.      Intel Graphics
Products:         Improved performance for Intel Data Center GPU Max Series
(formerly Ponte Vecchio).         Improved performance for Intel Arc graphics
(formerly Alchemist and DG2) and Intel Data Center GPU Flex Series (formerly
Arctic Sound-M).         Improved concat primitive performance with per-argument
scales on Intel GPUs.      AArch64-based Processors:         Improved layer
normalization primitive performance with Compute Library for the Arm
Architecture (ACL).      AMD GPUs:         Introduced optimized matmul
implementation.      RISC-V-based Processors:         Improved pooling primitive
performance for processors with RISC-V vector extension (RVV) support.
Functionality      Enabled Graph API as a production feature. Graph API is
intended to simplify oneDNN integration into frameworks.     Added an option to
zero-out weight gradient in RNN primitive. See details in corresponding RFC.
[experimental] Added support for sparse memory and dense by sparse matrix-matrix
multiplication support in the matmul primitive. The functionality is supported
on processors with Intel AVX2 and Intel AVX-512 instruction support.
Introduced out-of-order queues support for OpenCL runtime. See the OpenCL
Interoperability section in the Developer Guide for more details.     Added
support for the non-zero alpha parameter in the batch normalization ReLU post-op
on Intel GPUs.     Enabled the layer normalization primitive with f64 datatype
support on Intel GPUs.     Added support of per-argument scales in matmul,
convolution, inner product, and reorder primitives on NVIDIA GPUs.  Validation
Extended benchdnn with functional and performance validation for Graph API.
Breaking Changes      Builds with OpenCL runtime will fail unless Graph API is
disabled with ONEDNN_BUILD_GRAPH=OFF.  Known Issues and Limitations      Graph
API constant cache feature is disabled with SYCL CPU runtime due to an issue
with the oneAPI DPC++ Compiler runtime. This will result in lower performance
for some scenarios.
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ChangeLog:

* Thu May  4 2023 Nicolas Chauvet <kwizart@xxxxxxxxx> - 3.1-1
- Update to 3.1
* Mon Mar  6 2023 Ali Erdinc Koroglu <aekoroglu@xxxxxxxxxxxxxxxxx> - 3.0.1-2
- oneDNN did not migrate the latest fujitsu/xbyak_aarch64 yet
* Mon Mar  6 2023 Ali Erdinc Koroglu <aekoroglu@xxxxxxxxxxxxxxxxx> - 3.0.1-1
- Update to 3.0.1
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This update can be installed with the "dnf" update program. Use
su -c 'dnf upgrade --advisory FEDORA-2023-34ee5fba4e' at the command
line. For more information, refer to the dnf documentation available at
http://dnf.readthedocs.io/en/latest/command_ref.html#upgrade-command-label

All packages are signed with the Fedora Project GPG key. More details on the
GPG keys used by the Fedora Project can be found at
https://fedoraproject.org/keys
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