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* Upgrade presets for cuDNN 9.19.0.56, NCCL 2.29.3, CPython 3.14.3, NumPy 2.4.2, Triton Inference Server 2.65.0
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‎.github/actions/deploy-ubuntu/action.yml‎

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export ARCH_CUDA=sbsa
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export PREFIX=aarch64-linux-gnu
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export CUDA=cuda-repo-rhel8-13-1-local-13.1.1_590.48.01-1.aarch64.rpm
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export CUDNN=cuda-13-9.18.1.3-1.aarch64
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export NCCL=2.29.2-1+cuda13.1.aarch64
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export CUDNN=cuda-13-9.19.0.56-1.aarch64
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export NCCL=2.29.3-1+cuda13.1.aarch64
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export NVCOMP=nvcomp-linux-sbsa-5.1.0.21_cuda13-archive
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export USERLAND_BUILDME="buildme --aarch64"
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elif [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]]; then
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export ARCH_CUDA=x86_64
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export PREFIX=x86_64-linux-gnu
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export CUDA=cuda-repo-rhel8-13-1-local-13.1.1_590.48.01-1.x86_64.rpm
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export CUDNN=cuda-13-9.18.1.3-1.x86_64
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export NCCL=2.29.2-1+cuda13.1.x86_64
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export CUDNN=cuda-13-9.19.0.56-1.x86_64
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export NCCL=2.29.3-1+cuda13.1.x86_64
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export NVCOMP=nvcomp-linux-x86_64-5.1.0.21_cuda13-archive
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fi
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echo "ARCH=$ARCH" >> $GITHUB_ENV

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

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if "%CI_DEPLOY_PLATFORM%"=="windows-x86_64" if not "%CI_DEPLOY_NEED_CUDA%"=="" (
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echo Installing CUDA, cuDNN, nvCOMP, etc
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curl -LO https://developer.download.nvidia.com/compute/cuda/13.1.1/local_installers/cuda_13.1.1_windows.exe
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curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.18.1.3_cuda13-archive.zip
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curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.19.0.56_cuda13-archive.zip
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curl -LO http://www.winimage.com/zLibDll/zlib123dllx64.zip
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curl -LO https://developer.download.nvidia.com/compute/nvcomp/redist/nvcomp/windows-x86_64/nvcomp-windows-x86_64-5.1.0.21_cuda13-archive.zip
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cuda_13.1.1_windows.exe -s
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unzip cudnn-windows-x86_64-9.18.1.3_cuda13-archive.zip
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unzip cudnn-windows-x86_64-9.19.0.56_cuda13-archive.zip
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unzip zlib123dllx64.zip
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unzip nvcomp-windows-x86_64-5.1.0.21_cuda13-archive.zip
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move cudnn-windows-x86_64-9.18.1.3_cuda13-archive\bin\x64\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\bin\x64"
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move cudnn-windows-x86_64-9.18.1.3_cuda13-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\include"
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move cudnn-windows-x86_64-9.18.1.3_cuda13-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\lib\x64"
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move cudnn-windows-x86_64-9.19.0.56_cuda13-archive\bin\x64\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\bin\x64"
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move cudnn-windows-x86_64-9.19.0.56_cuda13-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\include"
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move cudnn-windows-x86_64-9.19.0.56_cuda13-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\lib\x64"
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move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\bin\x64"
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move nvcomp-windows-x86_64-5.1.0.21_cuda13-archive\include\* "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\include"
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move nvcomp-windows-x86_64-5.1.0.21_cuda13-archive\include\nvcomp "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\include"

‎.github/workflows/tritonserver.yml‎

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jobs:
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linux-x86_64:
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runs-on: ubuntu-22.04
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container: nvcr.io/nvidia/tritonserver:25.12-pyt-python-py3
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container: nvcr.io/nvidia/tritonserver:26.01-pyt-python-py3
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steps:
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- uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
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platform:

‎CHANGELOG.md‎

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* Introduce CUDA-enabled `linux-arm64-gpu` builds to presets for OpenCV ([pull #1651](https://github.com/bytedeco/javacpp-presets/pull/1651))
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* Reenable again `linux-arm64` builds for CPython and NumPy ([pull #1652](https://github.com/bytedeco/javacpp-presets/pull/1652))
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* Bundle libraries for VA-API 2.x with FFmpeg to avoid loading issues ([issue bytedeco/javacv#2340](https://github.com/bytedeco/javacv/issues/2340))
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* Upgrade presets for OpenCV 4.13.0, FFmpeg 8.0.1, MKL 2025.3.1, DNNL 3.10.2, OpenBLAS 0.3.31, CUDA 13.1.1, cuDNN 9.18.1.3, NCCL 2.29.2, nvCOMP 5.1.0.21, NVIDIA Video Codec SDK 13.0.37, CPython 3.14.2, NumPy 2.4.1, SciPy 1.17.0, LLVM 21.1.8, libffi 3.5.2, Leptonica 1.87.0, Tesseract 5.5.2, PyTorch 2.10.0, SentencePiece 0.2.1, TensorFlow Lite 2.20.0, TensorRT 10.15.1.29, Triton Inference Server 2.64.0, ONNX 1.20.1, ONNX Runtime 1.23.2, and their dependencies
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* Upgrade presets for OpenCV 4.13.0, FFmpeg 8.0.1, MKL 2025.3.1, DNNL 3.10.2, OpenBLAS 0.3.31, CUDA 13.1.1, cuDNN 9.19.0.56, NCCL 2.29.3, nvCOMP 5.1.0.21, NVIDIA Video Codec SDK 13.0.37, CPython 3.14.3, NumPy 2.4.2, SciPy 1.17.0, LLVM 21.1.8, libffi 3.5.2, Leptonica 1.87.0, Tesseract 5.5.2, PyTorch 2.10.0, SentencePiece 0.2.1, TensorFlow Lite 2.20.0, TensorRT 10.15.1.29, Triton Inference Server 2.65.0, ONNX 1.20.1, ONNX Runtime 1.23.2, and their dependencies
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### June 30, 2025 version 1.5.12
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* Add presets for the CUFILE module of CUDA

‎README.md‎

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* Caffe 1.0 https://github.com/BVLC/caffe
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* OpenPose 1.7.0 https://github.com/CMU-Perceptual-Computing-Lab/openpose
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* CUDA 13.1.x https://developer.nvidia.com/cuda-downloads
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* cuDNN 9.18.x https://developer.nvidia.com/cudnn
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* cuDNN 9.19.x https://developer.nvidia.com/cudnn
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* NCCL 2.29.x https://developer.nvidia.com/nccl
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* nvCOMP 5.1.x https://developer.nvidia.com/nvcomp
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* NVIDIA Video Codec SDK 13.0.x https://developer.nvidia.com/nvidia-video-codec-sdk

‎cpython/README.md‎

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------------
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This directory contains the JavaCPP Presets module for:
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* CPython 3.14.2 https://www.python.org/
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* CPython 3.14.3 https://www.python.org/
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Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cpython-platform</artifactId>
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<version>3.14.2-1.5.13-SNAPSHOT</version>
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<version>3.14.3-1.5.13-SNAPSHOT</version>
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</dependency>
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</dependencies>
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<build>

‎cpython/cppbuild.sh‎

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exit
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fi
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OPENSSL=openssl-3.5.4
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CPYTHON_VERSION=3.14.2
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OPENSSL=openssl-3.5.5
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CPYTHON_VERSION=3.14.3
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download https://www.openssl.org/source/$OPENSSL.tar.gz $OPENSSL.tar.gz
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download https://www.python.org/ftp/python/$CPYTHON_VERSION/Python-$CPYTHON_VERSION.tgz Python-$CPYTHON_VERSION.tgz
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‎cpython/platform/pom.xml‎

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<groupId>org.bytedeco</groupId>
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<artifactId>cpython-platform</artifactId>
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<version>3.14.2-${project.parent.version}</version>
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<version>3.14.3-${project.parent.version}</version>
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<name>JavaCPP Presets Platform for CPython</name>
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<properties>

‎cpython/pom.xml‎

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<groupId>org.bytedeco</groupId>
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<artifactId>cpython</artifactId>
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<version>3.14.2-${project.parent.version}</version>
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<version>3.14.3-${project.parent.version}</version>
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<name>JavaCPP Presets for CPython</name>
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<dependencies>

‎cpython/samples/pom.xml‎

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<version>1.5.13-SNAPSHOT</version>
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<properties>
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<exec.mainClass>Simple</exec.mainClass>
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<maven.compiler.source>1.7</maven.compiler.source>
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<maven.compiler.target>1.7</maven.compiler.target>
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<maven.compiler.source>1.8</maven.compiler.source>
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<maven.compiler.target>1.8</maven.compiler.target>
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</properties>
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<dependencies>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cpython-platform</artifactId>
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<version>3.14.2-1.5.13-SNAPSHOT</version>
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<version>3.14.3-1.5.13-SNAPSHOT</version>
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</dependency>
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</dependencies>
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<build>

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