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* Upgrade presets for CUDA 12.1.1, cuDNN 8.9.0, NCCL 2.17.1
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@saudet
saudet committed Apr 28, 2023
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Showing 127 changed files with 2,500 additions and 1,371 deletions.
12 changes: 6 additions & 6 deletions .github/actions/deploy-centos/action.yml
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Expand Up @@ -68,14 +68,14 @@ runs:
if [[ "$CI_DEPLOY_PLATFORM" == "linux-x86_64" ]] && [[ -n ${CI_DEPLOY_NEED_CUDA:-} ]]; then
echo Installing CUDA, cuDNN, etc
curl -LO https://developer.download.nvidia.com/compute/cuda/12.0.0/local_installers/cuda-repo-rhel7-12-0-local-12.0.0_525.60.13-1.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/libcudnn8-8.7.0.84-1.cuda10.2.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/libcudnn8-devel-8.7.0.84-1.cuda10.2.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/libnccl-2.16.2-1+cuda12.0.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/libnccl-devel-2.16.2-1+cuda12.0.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda-repo-rhel7-12-1-local-12.1.1_530.30.02-1.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/libcudnn8-8.9.0.131-1.cuda12.1.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/libcudnn8-devel-8.9.0.131-1.cuda12.1.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/libnccl-2.17.1-1+cuda12.1.x86_64.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/libnccl-devel-2.17.1-1+cuda12.1.x86_64.rpm
rpm -i --force --ignorearch --nodeps cuda-repo-rhel7-* libcudnn*.rpm libnccl*.rpm
pushd /var/cuda-repo-rhel7-12-0-local/; rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; rm *.rpm; popd
pushd /var/cuda-repo-rhel7-12-1-local/; rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; rm *.rpm; popd
ln -sf /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/libcuda.so
ln -sf /usr/local/cuda/lib64/stubs/libnvidia-ml.so /usr/local/cuda/lib64/libnvidia-ml.so
mv /usr/include/cudnn* /usr/include/nccl* /usr/local/cuda/include/
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22 changes: 11 additions & 11 deletions .github/actions/deploy-ubuntu/action.yml
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Expand Up @@ -21,27 +21,27 @@ runs:
export ARCH=arm64
export ARCH2=sbsa
export PREFIX=aarch64-linux-gnu
export CUDA=cuda-repo-rhel8-12-0-local-12.0.0_525.60.13-1.aarch64.rpm
export CUDNN=8.7.0.84-1.cuda11.8.aarch64
export NCCL=2.16.2-1+cuda12.0.aarch64
export CUDA=cuda-repo-rhel8-12-1-local-12.1.1_530.30.02-1.aarch64.rpm
export CUDNN=8.9.0.131-1.cuda12.1.aarch64
export NCCL=2.17.1-1+cuda12.1.aarch64
export USERLAND_BUILDME="buildme --aarch64"
elif [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]]; then
export ARCH=ppc64el
export ARCH2=ppc64le
export PREFIX=powerpc64le-linux-gnu
export CUDA=cuda-repo-rhel8-12-0-local-12.0.0_525.60.13-1.ppc64le.rpm
export CUDNN=8.7.0.84-1.cuda11.8.ppc64le
export NCCL=2.16.2-1+cuda12.0.ppc64le
export CUDA=cuda-repo-rhel8-12-1-local-12.1.1_530.30.02-1.ppc64le.rpm
export CUDNN=8.9.0.131-1.cuda12.1.ppc64le
export NCCL=2.17.1-1+cuda12.1.ppc64le
elif [[ "$CI_DEPLOY_PLATFORM" == "linux-x86" ]]; then
export ARCH=i386
export PREFIX=i686-linux-gnu
elif [[ "$CI_DEPLOY_PLATFORM" == "linux-x86_64" ]]; then
export ARCH=amd64
export ARCH2=x86_64
export PREFIX=x86_64-linux-gnu
export CUDA=cuda-repo-rhel8-12-0-local-12.0.0_525.60.13-1.x86_64.rpm
export CUDNN=8.7.0.84-1.cuda11.8.x86_64
export NCCL=2.16.2-1+cuda12.0.x86_64
export CUDA=cuda-repo-rhel8-12-1-local-12.1.1_530.30.02-1.x86_64.rpm
export CUDNN=8.9.0.131-1.cuda12.1.x86_64
export NCCL=2.17.1-1+cuda12.1.x86_64
fi
echo "ARCH=$ARCH" >> $GITHUB_ENV
echo "ARCH2=$ARCH2" >> $GITHUB_ENV
Expand Down Expand Up @@ -101,14 +101,14 @@ runs:
if [[ "$CI_DEPLOY_PLATFORM" == "linux-arm64" ]] || [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]] && [[ -n ${CI_DEPLOY_NEED_CUDA:-} ]]; then
echo Installing CUDA, cuDNN, etc
curl -LO https://developer.download.nvidia.com/compute/cuda/12.0.0/local_installers/$CUDA
curl -LO https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/$CUDA
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH2/libcudnn8-$CUDNN.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH2/libcudnn8-devel-$CUDNN.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH2/libnccl-$NCCL.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH2/libnccl-devel-$NCCL.rpm
rpm -i --force --ignorearch --nodeps $CUDA libcudnn*.rpm libnccl*.rpm
pushd /var/cuda-repo-rhel8-12-0-local/; rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; rm *.rpm; popd
pushd /var/cuda-repo-rhel8-12-1-local/; rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; rm *.rpm; popd
ln -sf /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/libcuda.so
ln -sf /usr/local/cuda/lib64/stubs/libnvidia-ml.so /usr/local/cuda/lib64/libnvidia-ml.so
mv /usr/include/cudnn* /usr/include/nccl* /usr/local/cuda/include/
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34 changes: 17 additions & 17 deletions .github/actions/deploy-windows/action.yml
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Expand Up @@ -92,30 +92,30 @@ runs:
if "%CI_DEPLOY_PLATFORM%"=="windows-x86_64" if not "%CI_DEPLOY_NEED_CUDA%"=="" (
echo Installing CUDA, cuDNN, etc
curl -LO https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_522.06_windows.exe
curl -LO https://developer.download.nvidia.com/compute/cuda/12.0.0/local_installers/cuda_12.0.0_527.41_windows.exe
curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.7.0/local_installers/11.8/cudnn-windows-x86_64-8.7.0.84_cuda11-archive.zip
curl -LO https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_531.14_windows.exe
curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.8.0/local_installers/12.0/cudnn_8.8.0.121_windows.exe
curl -LO http://www.winimage.com/zLibDll/zlib123dllx64.zip
cuda_11.8.0_522.06_windows.exe -s
bash -c "rm -Rf 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.8'"
bash -c "mv 'C:/Program Files/NVIDIA Corporation/NvToolsExt' 'C:/Program Files/NVIDIA Corporation/NvToolsExt_old'"
cuda_12.0.0_527.41_windows.exe -s
cuda_12.1.1_531.14_windows.exe -s
bash -c "mv 'C:/Program Files/NVIDIA Corporation/NvToolsExt_old' 'C:/Program Files/NVIDIA Corporation/NvToolsExt'"
bash -c "ls 'C:/Program Files/NVIDIA Corporation/NvToolsExt'"
unzip cudnn-windows-x86_64-8.7.0.84_cuda11-archive.zip
cudnn_8.8.0.121_windows.exe -s
unzip zlib123dllx64.zip
move cudnn-windows-x86_64-8.7.0.84_cuda11-archive\bin\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0\bin"
move cudnn-windows-x86_64-8.7.0.84_cuda11-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0\include"
move cudnn-windows-x86_64-8.7.0.84_cuda11-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0\lib\x64"
move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0\bin"
move "%ProgramFiles%\NVIDIA\CUDNN\v8.8\bin\*.dll" "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin"
move "%ProgramFiles%\NVIDIA\CUDNN\v8.8\include\*.h" "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include"
move "%ProgramFiles%\NVIDIA\CUDNN\v8.8\lib\x64\*.lib" "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib\x64"
move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin"
rem echo Applying hotfix to Visual Studio 2019 for CUDA
rem curl -LO https://github.com/raw/microsoft/STL/main/stl/inc/cmath
rem bash -c "find 'C:/Program Files (x86)/Microsoft Visual Studio/2019/Enterprise/VC/' -name cmath -exec cp -v cmath {} \;"
bash -c "sed -i 's/cublas_v2.h/cublas_api.h/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.0/include/cublasXt.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.0/include/cusolverDn.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.0/include/cusolverSp.h'"
bash -c "sed -i '/block_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.0/include/cub/cub.cuh'"
bash -c "sed -i '/device_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.0/include/cub/cub.cuh'"
bash -c "sed -i '/device_segmented_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.0/include/cub/cub.cuh'"
bash -c "sed -i '/warp_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.0/include/cub/cub.cuh'"
bash -c "sed -i 's/cublas_v2.h/cublas_api.h/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include/cublasXt.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include/cusolverDn.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include/cusolverSp.h'"
bash -c "sed -i '/block_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include/cub/cub.cuh'"
bash -c "sed -i '/device_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include/cub/cub.cuh'"
bash -c "sed -i '/device_segmented_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include/cub/cub.cuh'"
bash -c "sed -i '/warp_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include/cub/cub.cuh'"
)
if "%CI_DEPLOY_MODULE%"=="nvcodec" (
Expand Down Expand Up @@ -212,10 +212,10 @@ runs:
C:/msys64/usr/bin/bazel.exe version
)
if exist "%ProgramFiles%\NVIDIA GPU Computing Toolkit" (
set "CUDA_PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0"
set "CUDA_PATH_V12_0=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0"
set "PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0\libnvvp;%PATH%"
echo CUDA Version 12.0.0>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.0\version.txt"
set "CUDA_PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1"
set "CUDA_PATH_V12_1=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1"
set "PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;%PATH%"
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%"
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2 changes: 1 addition & 1 deletion CHANGELOG.md
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Expand Up @@ -19,7 +19,7 @@
* 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 12.0.0, cuDNN 8.7.0, NCCL 2.16.2, 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 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

### 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))
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -215,9 +215,9 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
* Tesseract 5.3.x https://github.com/tesseract-ocr/tesseract
* Caffe 1.0 https://github.com/BVLC/caffe
* OpenPose 1.7.0 https://github.com/CMU-Perceptual-Computing-Lab/openpose
* CUDA 12.0.x https://developer.nvidia.com/cuda-downloads
* cuDNN 8.7.x https://developer.nvidia.com/cudnn
* NCCL 2.16.x https://developer.nvidia.com/nccl
* CUDA 12.1.x https://developer.nvidia.com/cuda-downloads
* cuDNN 8.9.x https://developer.nvidia.com/cudnn
* NCCL 2.17.x https://developer.nvidia.com/nccl
* NVIDIA Video Codec SDK 12.0.x https://developer.nvidia.com/nvidia-video-codec-sdk
* OpenCL 3.0.x https://github.com/KhronosGroup/OpenCL-ICD-Loader
* MXNet 1.9.x https://github.com/apache/incubator-mxnet
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10 changes: 5 additions & 5 deletions cuda/README.md
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Expand Up @@ -23,9 +23,9 @@ Introduction
------------
This directory contains the JavaCPP Presets module for:

* CUDA 12.0.0 https://developer.nvidia.com/cuda-zone
* cuDNN 8.7.0 https://developer.nvidia.com/cudnn
* NCCL 2.16.2 https://developer.nvidia.com/nccl
* CUDA 12.1.1 https://developer.nvidia.com/cuda-zone
* cuDNN 8.9.0 https://developer.nvidia.com/cudnn
* NCCL 2.17.1 https://developer.nvidia.com/nccl

Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.

Expand Down Expand Up @@ -64,14 +64,14 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform</artifactId>
<version>12.0-8.7-1.5.9-SNAPSHOT</version>
<version>12.1-8.9-1.5.9-SNAPSHOT</version>
</dependency>

<!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform-redist</artifactId>
<version>12.0-8.7-1.5.9-SNAPSHOT</version>
<version>12.1-8.9-1.5.9-SNAPSHOT</version>
</dependency>

</dependencies>
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2 changes: 1 addition & 1 deletion cuda/platform/pom.xml
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Expand Up @@ -12,7 +12,7 @@

<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform</artifactId>
<version>12.0-8.7-${project.parent.version}</version>
<version>12.1-8.9-${project.parent.version}</version>
<name>JavaCPP Presets Platform for CUDA</name>

<properties>
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2 changes: 1 addition & 1 deletion cuda/platform/redist/pom.xml
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Expand Up @@ -12,7 +12,7 @@

<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform-redist</artifactId>
<version>12.0-8.7-${project.parent.version}</version>
<version>12.1-8.9-${project.parent.version}</version>
<name>JavaCPP Presets Platform Redist for CUDA</name>

<properties>
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2 changes: 1 addition & 1 deletion cuda/pom.xml
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Expand Up @@ -11,7 +11,7 @@

<groupId>org.bytedeco</groupId>
<artifactId>cuda</artifactId>
<version>12.0-8.7-${project.parent.version}</version>
<version>12.1-8.9-${project.parent.version}</version>
<name>JavaCPP Presets for CUDA</name>

<dependencies>
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4 changes: 2 additions & 2 deletions cuda/samples/pom.xml
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Expand Up @@ -12,14 +12,14 @@
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform</artifactId>
<version>12.0-8.7-1.5.9-SNAPSHOT</version>
<version>12.1-8.9-1.5.9-SNAPSHOT</version>
</dependency>

<!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform-redist</artifactId>
<version>12.0-8.7-1.5.9-SNAPSHOT</version>
<version>12.1-8.9-1.5.9-SNAPSHOT</version>
</dependency>

</dependencies>
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4 changes: 2 additions & 2 deletions cuda/src/gen/java/org/bytedeco/cuda/cudart/CUmemAllocationProp_v1.java
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Expand Up @@ -40,9 +40,9 @@ public class CUmemAllocationProp_v1 extends Pointer {
public native @ByRef @Cast("CUmemLocation*") CUmemLocation_v1 location(); public native CUmemAllocationProp_v1 location(CUmemLocation_v1 setter);
/**
* Windows-specific POBJECT_ATTRIBUTES required when
* ::CU_MEM_HANDLE_TYPE_WIN32 is specified. This object atributes structure
* ::CU_MEM_HANDLE_TYPE_WIN32 is specified. This object attributes structure
* includes security attributes that define
* the scope of which exported allocations may be tranferred to other
* the scope of which exported allocations may be transferred to other
* processes. In all other cases, this field is required to be zero.
*/
public native Pointer win32HandleMetaData(); public native CUmemAllocationProp_v1 win32HandleMetaData(Pointer setter);
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2 changes: 1 addition & 1 deletion cuda/src/gen/java/org/bytedeco/cuda/cudart/CUmemPoolProps_v1.java
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Expand Up @@ -41,7 +41,7 @@ public class CUmemPoolProps_v1 extends Pointer {
/**
* Windows-specific LPSECURITYATTRIBUTES required when
* ::CU_MEM_HANDLE_TYPE_WIN32 is specified. This security attribute defines
* the scope of which exported allocations may be tranferred to other
* the scope of which exported allocations may be transferred to other
* processes. In all other cases, this field is required to be zero.
*/
public native Pointer win32SecurityAttributes(); public native CUmemPoolProps_v1 win32SecurityAttributes(Pointer setter);
Expand Down
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