* Upgrade presets for DNNL 3.1, ONNX 1.14.0, ONNX Runtime 1.15.0

.github/actions/deploy-centos/action.yml

@@ -13,7 +13,7 @@ runs:
         echo "hash_dir = false"                                                                      >> .ccache/ccache.conf
         echo "sloppiness = file_macro,include_file_ctime,include_file_mtime,pch_defines,time_macros" >> .ccache/ccache.conf
 
-        SCL_ENABLE="devtoolset-9"
+        SCL_ENABLE="devtoolset-9 rh-python38"
         CENTOS_VERSION=$(rpm --eval '%{centos_ver}')
         if [[ "$CENTOS_VERSION" == "6" ]]; then
           find /etc/yum.repos.d/ -name *.repo | xargs -i sed -i 's/mirror\.centos\.org\/centos/vault.centos.org/g;s/$releasever/6.10/g;s/mirrorlist/#mirrorlist/g;s/#baseurl/baseurl/g' {}

.github/actions/deploy-windows/action.yml

@@ -13,7 +13,7 @@ runs:
         C:\msys64\usr\bin\bash -lc "pacman -S --needed --noconfirm pkg-config"
         C:\msys64\usr\bin\bash -lc "pacman -S --needed --noconfirm base-devel git tar unzip p7zip zip autoconf autoconf-archive automake libtool make patch gnupg"
         C:\msys64\usr\bin\bash -lc "pacman -S --needed --noconfirm mingw-w64-x86_64-nasm mingw-w64-x86_64-toolchain mingw-w64-x86_64-libtool mingw-w64-x86_64-gcc mingw-w64-i686-gcc mingw-w64-x86_64-gcc-fortran mingw-w64-i686-gcc-fortran mingw-w64-x86_64-libwinpthread-git mingw-w64-i686-libwinpthread-git mingw-w64-x86_64-SDL2 mingw-w64-i686-SDL2 mingw-w64-x86_64-ragel"
-        set "PATH=C:\msys64\usr\bin;%PATH%"
+        set "PATH=C:\hostedtoolcache\windows\Python\3.8.10\x64;C:\msys64\usr\bin;%PATH%"
 
         echo Installing Windows SDK 8.1
         curl -Lo sdksetup.exe https://go.microsoft.com/fwlink/p/?LinkId=323507
@@ -218,7 +218,7 @@ runs:
           echo CUDA Version 12.1.0>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1\version.txt"
         )
         set "CCACHE_DIR=%USERPROFILE%\ccache"
-        set "PATH=C:\msys64\%MSYSTEM%\bin;C:\msys64\usr\bin;C:\ProgramData\chocolatey\lib\maven\apache-maven-3.6.3\bin;%PATH%"
+        set "PATH=C:\hostedtoolcache\windows\Python\3.8.10\x64;C:\msys64\%MSYSTEM%\bin;C:\msys64\usr\bin;C:\ProgramData\chocolatey\lib\maven\apache-maven-3.6.3\bin;%PATH%"
 
         where bash
         where curl
@@ -307,5 +307,5 @@ runs:
       shell: cmd
       run: |
         cd /d %USERPROFILE%
-        set "PATH=C:\msys64\usr\bin;%PATH%"
+        set "PATH=C:\hostedtoolcache\windows\Python\3.8.10\x64;C:\msys64\usr\bin;%PATH%"
         bash -c "rm -Rf $(find .m2/repository/ -name '*SNAPSHOT*')"

CHANGELOG.md

@@ -21,7 +21,7 @@
  * Map `c10::impl::GenericDict` as returned by `c10::IValue::toGenericDict()` in presets for PyTorch
  * Introduce `linux-armhf` and `linux-x86` builds to presets for TensorFlow Lite ([pull #1268](https://github.com/bytedeco/javacpp-presets/pull/1268))
  * Add presets for LibRaw 0.20.2 ([pull #1211](https://github.com/bytedeco/javacpp-presets/pull/1211))
- * Upgrade presets for OpenCV 4.7.0, FFmpeg 6.0 ([issue bytedeco/javacv#1693](https://github.com/bytedeco/javacv/issues/1693)), HDF5 1.14.0, Hyperscan 5.4.1 ([issue #1308](https://github.com/bytedeco/javacpp-presets/issues/1308)), Spinnaker 3.0.0.118 ([pull #1313](https://github.com/bytedeco/javacpp-presets/pull/1313)), librealsense2 2.53.1 ([pull #1305](https://github.com/bytedeco/javacpp-presets/pull/1305)), MKL 2023.1, DNNL 2.7.3, OpenBLAS 0.3.23, ARPACK-NG 3.9.0, CPython 3.11.3, NumPy 1.24.2, SciPy 1.10.1, LLVM 16.0.1, Leptonica 1.83.0, Tesseract 5.3.1, CUDA 12.1.1, cuDNN 8.9.0, NCCL 2.17.1, OpenCL 3.0.13, NVIDIA Video Codec SDK 12.0.16, PyTorch 2.0.0, TensorFlow Lite 2.12.0, TensorRT 8.6.0.12, Triton Inference Server 2.32.0, DepthAI 2.21.2, ONNX Runtime 1.14.1, TVM 0.11.1, Bullet Physics SDK 3.25, and their dependencies
+ * Upgrade presets for OpenCV 4.7.0, FFmpeg 6.0 ([issue bytedeco/javacv#1693](https://github.com/bytedeco/javacv/issues/1693)), HDF5 1.14.0, Hyperscan 5.4.1 ([issue #1308](https://github.com/bytedeco/javacpp-presets/issues/1308)), Spinnaker 3.0.0.118 ([pull #1313](https://github.com/bytedeco/javacpp-presets/pull/1313)), librealsense2 2.53.1 ([pull #1305](https://github.com/bytedeco/javacpp-presets/pull/1305)), MKL 2023.1, DNNL 3.1, OpenBLAS 0.3.23, ARPACK-NG 3.9.0, CPython 3.11.3, NumPy 1.24.2, SciPy 1.10.1, LLVM 16.0.1, Leptonica 1.83.0, Tesseract 5.3.1, CUDA 12.1.1, cuDNN 8.9.0, NCCL 2.17.1, OpenCL 3.0.13, NVIDIA Video Codec SDK 12.0.16, PyTorch 2.0.0, TensorFlow Lite 2.12.0, TensorRT 8.6.0.12, Triton Inference Server 2.32.0, DepthAI 2.21.2, ONNX 1.14.0, ONNX Runtime 1.15.0, TVM 0.11.1, Bullet Physics SDK 3.25, and their dependencies
 
 ### November 2, 2022 version 1.5.8
  * Fix mapping of `torch::ExpandingArrayWithOptionalElem` in presets for PyTorch ([issue #1250](https://github.com/bytedeco/javacpp-presets/issues/1250))

README.md

@@ -197,7 +197,7 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * LZ4 1.9.x  https://github.com/lz4/lz4
  * MKL 2023.x  https://software.intel.com/mkl
  * MKL-DNN 0.21.x  https://github.com/oneapi-src/oneDNN
- * DNNL 2.7.x  https://github.com/oneapi-src/oneDNN
+ * DNNL 3.1.x  https://github.com/oneapi-src/oneDNN
  * OpenBLAS 0.3.23  http://www.openblas.net/
  * ARPACK-NG 3.9.0  https://github.com/opencollab/arpack-ng
  * CMINPACK 1.3.8  https://github.com/devernay/cminpack
@@ -228,9 +228,9 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * Triton Inference Server 2.32.x  https://developer.nvidia.com/nvidia-triton-inference-server
  * The Arcade Learning Environment 0.8.x  https://github.com/mgbellemare/Arcade-Learning-Environment
  * DepthAI 2.21.x  https://github.com/luxonis/depthai-core
- * ONNX 1.12.x  https://github.com/onnx/onnx
+ * ONNX 1.14.x  https://github.com/onnx/onnx
  * nGraph 0.26.0  https://github.com/NervanaSystems/ngraph
- * ONNX Runtime 1.14.x  https://github.com/microsoft/onnxruntime
+ * ONNX Runtime 1.15.x  https://github.com/microsoft/onnxruntime
  * TVM 0.11.x  https://github.com/apache/tvm
  * Bullet Physics SDK 3.25  https://pybullet.org
  * LiquidFun  http://google.github.io/liquidfun/