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Accepting request 885001 from science:machinelearning

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- Update to 2.2.1

OBS-URL: https://build.opensuse.org/request/show/885001
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/onednn?expand=0&rev=3
This commit is contained in:
Dominique Leuenberger 2021-04-14 08:11:00 +00:00 committed by Git OBS Bridge
commit 34cb402dab
4 changed files with 42 additions and 4 deletions

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onednn-2.1.tar.gz

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size 9273493

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onednn-2.2.1.tar.gz Normal file

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onednn.changes

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-------------------------------------------------------------------
Tue Apr 13 07:53:16 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
- Update to 2.2.1, changes:
* From 2.2:
Fixed segfault for cases when primitive descriptor or attributed contain NaN (e6d05ec, dbca1e9, 0326b09, 0326b09)
Fixed engine creation failure for GPU subdevices (4c3a114)
Fixed long lines clipping in verbose output (70d70a8)
Fixed segfault in bfloat16 convolution weight gradient implementation on processors with Intel AMX support (a3a73a3)
Fixed performance regression in binary primitive with per_oc broadcast strategy (9ac85d8)
Worked around a bug with Microsoft Visual C++ compiler version detection in CMake 3.19 (2f39155)
Removed -std=c++11 build flag for DPC++ code to align with SYCL standard (1b026f5)
* Changes between 2.1 and 2.2:
Performance Optimizations
Intel Architecture processors
Improved performance of int8 compute functionality for future Intel Xeon Scalable processor (code name Sapphire Rapids). The functionality is disabled by default and should be enabled via CPU dispatcher control.
Improved performance of compute functionality for future Intel Core processor with Intel AVX2 and Intel DL Boost instructions support (code name Alder Lake).
Improved fp32 inner product forward propagation performance for processors with Intel AVX-512 support.
Improved dnnl_gemm performance for cases with n=1 on all supported processors.
Intel Graphics products
Introduced NHWC format support for activations for int8 primitives.
AArch64-based processors
Improved performance of fp32 and int8 convolution, and softmax primitives for processors with SVE 512 support.
Improved performance of fp32 convolution via Arm Compute Library (ACL).
Improved performance of convolution with a combination of sum and relu post-ops via ACL.
Functionality
Extended eltwise primitive with support for mish and hardswish algorithms.
Extended binary primitive with support for comparison operators.
Introduced support for post-ops in GPU resampling implementation.
Introduced asymmetric quantization support for int8 deconvolution.
Introduced binary post-ops support for matmul primitive.
Usability
Improved presentation of oneDNN primitives in VTune Amplifier.
Introduced Linux perf support for AArch64.
Introduced support for Fujitsu C++ compiler.
Introduced a build time check for minimal supported ACL version. Currently oneDNN requires ACL 21.02 or later.
Added support for cuDNN 8.x
-------------------------------------------------------------------
Wed Feb 17 14:17:47 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>

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onednn.spec

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%define libname libdnnl2
Name: onednn
Version: 2.1
Version: 2.2.1
Release: 0
Summary: Intel(R) Math Kernel Library for Deep Neural Networks
License: Apache-2.0