Script 'mail_helper' called by obssrc Hello community, here is the log from the commit of package onednn for openSUSE:Factory checked in at 2021-04-14 10:11:00 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/onednn (Old) and /work/SRC/openSUSE:Factory/.onednn.new.2401 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "onednn" Wed Apr 14 10:11:00 2021 rev:3 rq:885001 version:2.2.1 Changes: -------- --- /work/SRC/openSUSE:Factory/onednn/onednn.changes 2021-04-06 17:31:19.435228431 +0200 +++ /work/SRC/openSUSE:Factory/.onednn.new.2401/onednn.changes 2021-04-14 10:11:32.989551512 +0200 @@ -1,0 +2,38 @@ +Tue Apr 13 07:53:16 UTC 2021 - Guillaume GARDET <guillaume.gar...@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 + +------------------------------------------------------------------- Old: ---- onednn-2.1.tar.gz New: ---- onednn-2.2.1.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ onednn.spec ++++++ --- /var/tmp/diff_new_pack.dJWDMP/_old 2021-04-14 10:11:33.529552424 +0200 +++ /var/tmp/diff_new_pack.dJWDMP/_new 2021-04-14 10:11:33.533552431 +0200 @@ -31,7 +31,7 @@ %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 ++++++ onednn-2.1.tar.gz -> onednn-2.2.1.tar.gz ++++++ /work/SRC/openSUSE:Factory/onednn/onednn-2.1.tar.gz /work/SRC/openSUSE:Factory/.onednn.new.2401/onednn-2.2.1.tar.gz differ: char 29, line 1
