Compare commits
No commits in common. "factory" and "factory" have entirely different histories.
3
_service
3
_service
@ -1,3 +0,0 @@
|
||||
<services>
|
||||
<service name="download_files" mode="manual" />
|
||||
</services>
|
||||
3
oneDNN-3.4.1.tar.gz
Normal file
3
oneDNN-3.4.1.tar.gz
Normal file
@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:66a6512405664c2cd004811922173adabaa50d6aadc9352291d2d85f8b0f3d10
|
||||
size 13282745
|
||||
BIN
oneDNN-3.6.2.tar.gz
(Stored with Git LFS)
BIN
oneDNN-3.6.2.tar.gz
(Stored with Git LFS)
Binary file not shown.
@ -1,56 +1,28 @@
|
||||
-------------------------------------------------------------------
|
||||
Fri Jan 3 23:23:08 UTC 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 11:42:58 UTC 2024 - Guillaume GARDET <guillaume.gardet@opensuse.org>
|
||||
|
||||
- Update to 3.6:
|
||||
* https://github.com/oneapi-src/oneDNN/releases/tag/v3.6
|
||||
|
||||
-------------------------------------------------------------------
|
||||
Wed Oct 2 12:06:54 UTC 2024 - Guillaume GARDET <guillaume.gardet@opensuse.org>
|
||||
|
||||
- Add openCL deps for devel package
|
||||
|
||||
-------------------------------------------------------------------
|
||||
Tue Sep 24 08:40:52 UTC 2024 - Guillaume GARDET <guillaume.gardet@opensuse.org>
|
||||
|
||||
- Enable graph component
|
||||
|
||||
-------------------------------------------------------------------
|
||||
Mon Sep 23 10:04:43 UTC 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 17:27:48 UTC 2024 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
|
||||
|
||||
- Update to 3.4.1:
|
||||
* Fixed an issue with caching and serialization of primitives in
|
||||
* Fixed an issue with caching and serialization of primitives in
|
||||
deterministic mode (7ed604a)
|
||||
* Introduced memory descriptor serialization API
|
||||
* 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,
|
||||
* 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
|
||||
* Fixed incorrect results in reorder with large sizes on
|
||||
Intel CPUs and GPUs (69a111e, 4b72361, 74a343b)
|
||||
* Reduced creation time for deconvolution primitive on
|
||||
* Reduced creation time for deconvolution primitive on
|
||||
Intel CPUs (bec487e, 1eab005)
|
||||
* Fixed performance regression in deconvolution on
|
||||
* Fixed performance regression in deconvolution on
|
||||
Intel CPUs (fbe5b97, 1dd3c6a)
|
||||
* Removed dangling symblols from static builds
|
||||
* Removed dangling symblols from static builds
|
||||
(e92c404, 6f5621a)
|
||||
* Fixed crash during platform detection on some
|
||||
* Fixed crash during platform detection on some
|
||||
AArch64-based systems (406a079)
|
||||
* Fixed performance regression in int8 deconvolution on
|
||||
* Fixed performance regression in int8 deconvolution on
|
||||
Intel CPUs (7e50e15)
|
||||
* Fixed handling of zero points for matmul in verbose
|
||||
logs converter (15c7916)
|
||||
* Fixed handling of zero points for matmul in verbose
|
||||
logs converter (15c7916)
|
||||
|
||||
-------------------------------------------------------------------
|
||||
Fri Dec 1 04:33:49 UTC 2023 - Alessandro de Oliveira Faria <cabelo@opensuse.org>
|
||||
@ -285,38 +257,38 @@ Wed Feb 26 10:36:26 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
|
||||
-------------------------------------------------------------------
|
||||
Thu Feb 20 10:26:52 UTC 2020 - Christian Goll <cgoll@suse.com>
|
||||
|
||||
- enabled tests
|
||||
- enabled tests
|
||||
|
||||
-------------------------------------------------------------------
|
||||
Thu Jan 30 14:20:22 UTC 2020 - Christian Goll <cgoll@suse.com>
|
||||
|
||||
- packaged separate benchnn packae with its input files
|
||||
- updated to v1.1.3 which includes
|
||||
* Fixed the mean and variance memory descriptors in layer
|
||||
* Fixed the mean and variance memory descriptors in layer
|
||||
normalization (65f1908)
|
||||
* Fixed the layer normalization formula (c176ceb)
|
||||
|
||||
-------------------------------------------------------------------
|
||||
Wed Jan 8 15:21:54 UTC 2020 - Christian Goll <cgoll@suse.com>
|
||||
|
||||
- updated to v1.1.2
|
||||
- updated to v1.1.2
|
||||
* Fixed threading over the spatial in bfloat16 batched
|
||||
normalization (017b6c9)
|
||||
* Fixed read past end-of-buffer error for int8 convolution (7d6f45e)
|
||||
* Fixed condition for dispatching optimized channel blocking in
|
||||
* Fixed condition for dispatching optimized channel blocking in
|
||||
fp32 backward convolution on Intel Xeon Phi(TM) processor (846eba1)
|
||||
* Fixed fp32 backward convolution for shapes with spatial strides
|
||||
* Fixed fp32 backward convolution for shapes with spatial strides
|
||||
over the depth dimension (002e3ab)
|
||||
* Fixed softmax with zero sizes on GPU (936bff4)
|
||||
* Fixed int8 deconvolution with dilation when ih <= dh (3e3bacb)
|
||||
* Enabled back fp32 -> u8 reorder for RNN (a2c2507)
|
||||
* Fixed segmentation fault in bfloat16 backward convolution from
|
||||
* Fixed segmentation fault in bfloat16 backward convolution from
|
||||
kd_padding=0 computation (52d476c)
|
||||
* Fixed segmentation fault in bfloat16 forward convolution due
|
||||
* Fixed segmentation fault in bfloat16 forward convolution due
|
||||
to push/pop imbalance (4f6e3d5)
|
||||
* Fixed library version for OS X build (0d85005)
|
||||
* Fixed padding by channels in concat (a265c7d)
|
||||
* Added full text of third party licenses and
|
||||
* Added full text of third party licenses and
|
||||
copyright notices to LICENSE file (79f204c)
|
||||
* Added separate README for binary packages (28f4c96)
|
||||
* Fixed computing per-oc mask in RNN (ff3ffab)
|
||||
@ -330,7 +302,7 @@ Mon Feb 11 16:35:48 UTC 2019 - cgoll@suse.com
|
||||
-------------------------------------------------------------------
|
||||
Tue Feb 5 07:45:53 UTC 2019 - Christian Goll <cgoll@suse.com>
|
||||
|
||||
- Initial checking of the Intel(R) Math Kernel Library for
|
||||
- Initial checking of the Intel(R) Math Kernel Library for
|
||||
Deep Neural Networks which can be used by:
|
||||
* tensorflow
|
||||
* Caffee
|
||||
|
||||
44
onednn.spec
44
onednn.spec
@ -1,7 +1,7 @@
|
||||
#
|
||||
# spec file for package onednn
|
||||
#
|
||||
# Copyright (c) 2025 SUSE LLC
|
||||
# Copyright (c) 2024 SUSE LLC
|
||||
#
|
||||
# All modifications and additions to the file contributed by third parties
|
||||
# remain the property of their copyright owners, unless otherwise agreed
|
||||
@ -16,25 +16,27 @@
|
||||
#
|
||||
|
||||
|
||||
%define libname libdnnl3
|
||||
%ifarch x86_64
|
||||
%bcond_without opencl
|
||||
%else
|
||||
# Build broken on non-x86, with openCL
|
||||
%bcond_with opencl
|
||||
%endif
|
||||
|
||||
%ifarch aarch64
|
||||
# Disable ACL until fixed upstream - https://github.com/oneapi-src/oneDNN/issues/2137
|
||||
# Disable ACL until fixed upstream - https://github.com/oneapi-src/oneDNN/issues/1599
|
||||
%bcond_with acl
|
||||
%else
|
||||
%bcond_with acl
|
||||
%endif
|
||||
|
||||
%define libname libdnnl3
|
||||
Name: onednn
|
||||
Version: 3.6.2
|
||||
Version: 3.4.1
|
||||
Release: 0
|
||||
Summary: oneAPI Deep Neural Network Library (oneDNN)
|
||||
Summary: Intel Math Kernel Library for Deep Neural Networks
|
||||
License: Apache-2.0
|
||||
URL: https://github.com/oneapi-src/oneDNN
|
||||
URL: https://01.org/onednn
|
||||
Source0: https://github.com/oneapi-src/oneDNN/archive/v%{version}/oneDNN-%{version}.tar.gz
|
||||
BuildRequires: chrpath
|
||||
BuildRequires: cmake
|
||||
@ -42,27 +44,26 @@ BuildRequires: doxygen
|
||||
BuildRequires: fdupes
|
||||
BuildRequires: gcc-c++
|
||||
BuildRequires: graphviz
|
||||
BuildRequires: ninja
|
||||
BuildRequires: texlive-dvips-bin
|
||||
Provides: mkl-dnn = %{version}
|
||||
Obsoletes: mkl-dnn <= %{version}
|
||||
Provides: oneDNN = %{version}
|
||||
ExclusiveArch: x86_64 aarch64 ppc64le
|
||||
%if %{with acl}
|
||||
BuildRequires: ComputeLibrary-devel >= 24.08.1
|
||||
BuildRequires: ComputeLibrary-devel >= 22.08
|
||||
%endif
|
||||
%if %{with opencl}
|
||||
BuildRequires: opencl-headers
|
||||
BuildRequires: pkgconfig
|
||||
BuildRequires: pkgconfig(OpenCL)
|
||||
%endif
|
||||
ExclusiveArch: x86_64 aarch64 ppc64le
|
||||
Provides: mkl-dnn = %{version}
|
||||
Obsoletes: mkl-dnn <= %{version}
|
||||
Provides: oneDNN = %{version}
|
||||
|
||||
%description
|
||||
oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform
|
||||
performance library of basic building blocks for deep learning applications.
|
||||
|
||||
oneDNN project is part of the UXL Foundation and is an implementation of the
|
||||
oneAPI specification for oneDNN component.
|
||||
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.
|
||||
|
||||
%package -n benchdnn
|
||||
Summary: Header files of Intel Math Kernel Library
|
||||
@ -83,10 +84,6 @@ Requires: %{libname} = %{version}
|
||||
Provides: mkl-dnn-devel = %{version}
|
||||
Obsoletes: mkl-dnn-devel <= %{version}
|
||||
Provides: oneDNN-devel = %{version}
|
||||
%if %{with opencl}
|
||||
Requires: opencl-headers
|
||||
Requires: pkgconfig(OpenCL)
|
||||
%endif
|
||||
|
||||
%description devel
|
||||
Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) is an
|
||||
@ -120,7 +117,6 @@ to implement deep neural networks (DNN) with C and C++ interfaces.
|
||||
%autosetup -p1 -n oneDNN-%{version}
|
||||
|
||||
%build
|
||||
%define __builder ninja
|
||||
%cmake \
|
||||
-DCMAKE_INSTALL_LIBDIR=%{_lib} \
|
||||
-DMKLDNN_ARCH_OPT_FLAGS="" \
|
||||
@ -135,7 +131,7 @@ to implement deep neural networks (DNN) with C and C++ interfaces.
|
||||
%endif
|
||||
-DDNNL_INSTALL_MODE=DEFAULT \
|
||||
-DDNNL_BUILD_TESTS=ON \
|
||||
-DONEDNN_BUILD_GRAPH=ON \
|
||||
-DONEDNN_BUILD_GRAPH=OFF \
|
||||
-DDNNL_WERROR=OFF
|
||||
%cmake_build
|
||||
%cmake_build doc_doxygen
|
||||
@ -164,7 +160,7 @@ chrpath -d %{buildroot}/%{_bindir}/benchdnn
|
||||
# do not use macro so we can exclude all gpu and cross (gpu and cpu) tests (they need gpu set up)
|
||||
pushd build
|
||||
export LD_LIBRARY_PATH=%{buildroot}%{_libdir}
|
||||
ctest --output-on-failure --force-new-ctest-process %{?_smp_mflags} -E '(gpu|cross)'
|
||||
ctest --output-on-failure --force-new-ctest-process %{_smp_mflags} -E '(gpu|cross)'
|
||||
popd
|
||||
|
||||
%post -n %{libname} -p /sbin/ldconfig
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user