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onednn-devel-3.6.2-1.2 RPM for x86_64

From OpenSuSE Tumbleweed for x86_64

Name: onednn-devel Distribution: openSUSE Tumbleweed
Version: 3.6.2 Vendor: openSUSE
Release: 1.2 Build date: Sat Jan 4 00:23:08 2025
Group: Unspecified Build host: reproducible
Size: 1250907 Source RPM: onednn-3.6.2-1.2.src.rpm
Packager: https://bugs.opensuse.org
Url: https://github.com/oneapi-src/oneDNN
Summary: Header files of Intel Math Kernel Library
Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an
open-source performance library for deep-learning applications. The library
accelerates deep-learning applications and frameworks on Intel architecture.
Intel MKL-DNN contains vectorized and threaded building blocks that you can use
to implement deep neural networks (DNN) with C and C++ interfaces.

This package includes the required headers and library files to develop software
with the Intel MKL-DNN.

Provides

Requires

License

Apache-2.0

Changelog

* Fri Jan 03 2025 Eyad Issa <eyadlorenzo@gmail.com>
  - Update to 3.6.2:
    * https://github.com/oneapi-src/oneDNN/releases/tag/v3.6.2
* Thu Oct 17 2024 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Update to 3.6:
    * https://github.com/oneapi-src/oneDNN/releases/tag/v3.6
* Wed Oct 02 2024 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Add openCL deps for devel package
* Tue Sep 24 2024 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Enable graph component
* Mon Sep 23 2024 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Update to 3.5.3:
    * https://github.com/oneapi-src/oneDNN/releases/tag/v3.5.3
* Fri Apr 19 2024 Alessandro de Oliveira Faria <cabelo@opensuse.org>
  - Update to 3.4.1:
    * Fixed an issue with caching and serialization of primitives in
      deterministic mode (7ed604a)
    * Introduced memory descriptor serialization API
      (4cad420, 929a27a, 9b848c8)
    * Fixed incorrect results in fp64 convolution and deconvolution
      on Intel GPUs based on Xe-LPG architecture (ebe77b5, 0b399ac,
      d748d64, 9f4f3d5, 21a8cae)
    * Fixed incorrect results in reorder with large sizes on
      Intel CPUs and GPUs (69a111e, 4b72361, 74a343b)
    * Reduced creation time for deconvolution primitive on
      Intel CPUs (bec487e, 1eab005)
    * Fixed performance regression in deconvolution on
      Intel CPUs (fbe5b97, 1dd3c6a)
    * Removed dangling symblols from static builds
      (e92c404, 6f5621a)
    * Fixed crash during platform detection on some
      AArch64-based systems (406a079)
    * Fixed performance regression in int8 deconvolution on
      Intel CPUs (7e50e15)
    * Fixed handling of zero points for matmul in verbose
      logs converter (15c7916)
* Fri Dec 01 2023 Alessandro de Oliveira Faria <cabelo@opensuse.org>
  - Update to 3.3.3:
  - This is a patch release containing the following changes to v3.3.2:
    * Fixed performance regression in int8 convolutions on processors with Intel AVX-512 and Intel DL Boost support (a00661f)
    * Fixed race condition during library initialization on Intel Data Center GPU Max Series (7dfcd11)
    * Fixed accuracy issue in experimental Graph Compiler with LLVM code generator (8892e7e)
    * Disabled int8 RNN implementation for cases with non-trivial strides (2195e4b)
    * Fixed incorrect results in bfloat16 convolution implementation on processors with Intel AMX support (9f00af9)
    * Fixed incorrect results in fp16 and int8 convolution on Intel Core Ultra integrated GPUs (69cef84, 79bc6cc, c9c0b09)
* Fri Dec 01 2023 Alessandro de Oliveira Faria <cabelo@opensuse.org>
  - Update to 3.3.1:
  - This is a patch release containing the following changes to v3.3:
    * Fixed int8 convolution accuracy issue on Intel GPUs (09c87c7)
    * Switched internal stream to in-order mode for NVIDIA and AMD GPUs to avoid synchronization issues (db01d62)
    * Fixed runtime error for avgpool_bwd operation in Graph API (d025ef6, 9e0602a, e0dc1b3)
    * Fixed benchdnn error reporting for some Graph API cases (98dc9db)
    * Fixed accuracy issue in experimental Graph Compiler for int8 MHA variant from StarCoder model (5476ef7)
    * Fixed incorrect results for layer normalization with trivial dimensions on Intel GPUs (a2ec0a0)
    * Removed redundant synchronization for out-of-order SYCL queues (a96e9b1)
    * Fixed runtime error in experimental Graph Compiler for int8 MLP subgraph from LLAMA model (595543d)
    * Fixed SEGFAULT in experimental Graph Compiler for fp32 MLP subgraph (4207105)
    * Fixed incorrect results in experimental Graph Compiler for MLP subgraph (57e14b5)
    * Fixed the issue with f16 inner product primitive with s8 output returning unimplemented on Intel GPUs (bf12207, 800b5e9, ec7054a)
    * Fixed incorrect results for int8 deconvolution with zero-points on processors with Intel AMX instructions support (55d2cec)
* Tue Oct 10 2023 Paolo Stivanin <info@paolostivanin.com>
  - Update to 3.3:
    * 3.3: https://github.com/oneapi-src/oneDNN/releases/tag/v3.3
    * 3.2: https://github.com/oneapi-src/oneDNN/releases/tag/v3.2
    * 3.1: https://github.com/oneapi-src/oneDNN/releases/tag/v3.1
  - Drop upstreamed onednn-fix-gcc13.patch
* Tue Mar 21 2023 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Update to 3.0.1:
    * Changes: https://github.com/oneapi-src/oneDNN/releases/tag/v3.0.1
  - Skipped 3.0:
    * Changes: https://github.com/oneapi-src/oneDNN/releases/tag/v3.0
  - Add patch to fix build with GCC13:
    * onednn-fix-gcc13.patch
  - Disable Arm Compute library support until fixed upstream
    https://github.com/oneapi-src/oneDNN/issues/1599
  - Drop upstream patches:
    * 1428.patch
    * fa93750.patch
* Tue Sep 20 2022 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Add patch to fix build with latest Arm Compute Library:
    * 1428.patch
    * fa93750.patch (dep for 1428.patch)
* Tue Sep 13 2022 Paolo Stivanin <info@paolostivanin.com>
  - Update to 2.6.2:
    * https://github.com/oneapi-src/oneDNN/releases
  - Removed onednn-1045.patch.
  - Removed onednn-xbyak-aarch64.patch.

Files

/usr/include/dnnl.h
/usr/include/dnnl.hpp
/usr/include/dnnl_config.h
/usr/include/dnnl_debug.h
/usr/include/dnnl_ocl.h
/usr/include/dnnl_ocl.hpp
/usr/include/dnnl_sycl.h
/usr/include/dnnl_sycl.hpp
/usr/include/dnnl_sycl_types.h
/usr/include/dnnl_threadpool.h
/usr/include/dnnl_threadpool.hpp
/usr/include/dnnl_threadpool_iface.hpp
/usr/include/dnnl_types.h
/usr/include/dnnl_version.h
/usr/include/mkl-dnn
/usr/include/oneapi
/usr/include/oneapi/dnnl
/usr/include/oneapi/dnnl/dnnl.h
/usr/include/oneapi/dnnl/dnnl.hpp
/usr/include/oneapi/dnnl/dnnl_common.h
/usr/include/oneapi/dnnl/dnnl_common.hpp
/usr/include/oneapi/dnnl/dnnl_common_types.h
/usr/include/oneapi/dnnl/dnnl_config.h
/usr/include/oneapi/dnnl/dnnl_debug.h
/usr/include/oneapi/dnnl/dnnl_graph.h
/usr/include/oneapi/dnnl/dnnl_graph.hpp
/usr/include/oneapi/dnnl/dnnl_graph_ocl.h
/usr/include/oneapi/dnnl/dnnl_graph_ocl.hpp
/usr/include/oneapi/dnnl/dnnl_graph_sycl.h
/usr/include/oneapi/dnnl/dnnl_graph_sycl.hpp
/usr/include/oneapi/dnnl/dnnl_graph_types.h
/usr/include/oneapi/dnnl/dnnl_ocl.h
/usr/include/oneapi/dnnl/dnnl_ocl.hpp
/usr/include/oneapi/dnnl/dnnl_ocl_types.h
/usr/include/oneapi/dnnl/dnnl_sycl.h
/usr/include/oneapi/dnnl/dnnl_sycl.hpp
/usr/include/oneapi/dnnl/dnnl_sycl_types.h
/usr/include/oneapi/dnnl/dnnl_threadpool.h
/usr/include/oneapi/dnnl/dnnl_threadpool.hpp
/usr/include/oneapi/dnnl/dnnl_threadpool_iface.hpp
/usr/include/oneapi/dnnl/dnnl_types.h
/usr/include/oneapi/dnnl/dnnl_ukernel.h
/usr/include/oneapi/dnnl/dnnl_ukernel.hpp
/usr/include/oneapi/dnnl/dnnl_ukernel_types.h
/usr/include/oneapi/dnnl/dnnl_version.h
/usr/include/oneapi/dnnl/dnnl_version_hash.h
/usr/lib64/cmake/dnnl
/usr/lib64/cmake/dnnl/FindOpenCL.cmake
/usr/lib64/cmake/dnnl/dnnl-config-version.cmake
/usr/lib64/cmake/dnnl/dnnl-config.cmake
/usr/lib64/cmake/dnnl/dnnl-targets-relwithdebinfo.cmake
/usr/lib64/cmake/dnnl/dnnl-targets.cmake
/usr/lib64/libdnnl.so
/usr/share/doc/packages/onednn-devel
/usr/share/doc/packages/onednn-devel/README.md
/usr/share/licenses/onednn-devel
/usr/share/licenses/onednn-devel/LICENSE


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Fabrice Bellet, Fri Mar 14 00:12:15 2025