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* Upgrade presets for CUDA 12.6.2, cuDNN 9.5.1, NCCL 2.23.4, nvCOMP …
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…4.0.1, TensorRT 10.5.0.18, Triton Inference Server 2.50.0
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saudet committed Oct 29, 2024
1 parent 66c37d6 commit ba960fc
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Showing 66 changed files with 1,017 additions and 161 deletions.
34 changes: 17 additions & 17 deletions .github/actions/deploy-ubuntu/action.yml
Original file line number Diff line number Diff line change
Expand Up @@ -41,18 +41,18 @@ runs:
export ARCH=arm64
export ARCH_CUDA=sbsa
export PREFIX=aarch64-linux-gnu
export CUDA=cuda-repo-rhel8-12-6-local-12.6.0_560.28.03-1.aarch64.rpm
export CUDNN=cuda-12-9.3.0.75-1.aarch64
export NCCL=2.22.3-1+cuda12.5.aarch64
export NVCOMP=nvcomp-linux-sbsa-4.0.0-cuda12.5
export CUDA=cuda-repo-rhel8-12-6-local-12.6.2_560.35.03-1.aarch64.rpm
export CUDNN=cuda-12-9.5.1.17-1.aarch64
export NCCL=2.23.4-1+cuda12.6.aarch64
export NVCOMP=nvcomp-linux-sbsa-4.0.1-cuda12.x
export USERLAND_BUILDME="buildme --aarch64"
elif [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]]; then
export ARCH=ppc64el
export ARCH_CUDA=ppc64le
export PREFIX=powerpc64le-linux-gnu
export CUDA=cuda-repo-rhel8-12-6-local-12.6.0_560.28.03-1.ppc64le.rpm
export CUDNN=cuda-12-9.3.0.75-1.ppc64le
export NCCL=2.22.3-1+cuda12.5.ppc64le
export CUDA=cuda-repo-rhel8-12-6-local-12.6.2_560.35.03-1.ppc64le.rpm
export CUDNN=cuda-12-9.5.1.17-1.ppc64le
export NCCL=2.23.4-1+cuda12.6.ppc64le
elif [[ "$CI_DEPLOY_PLATFORM" == "linux-riscv64" ]]; then
export ARCH=riscv64
export PREFIX=riscv64-linux-gnu
Expand All @@ -63,10 +63,10 @@ runs:
export ARCH=amd64
export ARCH_CUDA=x86_64
export PREFIX=x86_64-linux-gnu
export CUDA=cuda-repo-rhel8-12-6-local-12.6.0_560.28.03-1.x86_64.rpm
export CUDNN=cuda-12-9.3.0.75-1.x86_64
export NCCL=2.22.3-1+cuda12.5.x86_64
export NVCOMP=nvcomp-linux-x86_64-4.0.0-cuda12.5
export CUDA=cuda-repo-rhel8-12-6-local-12.6.2_560.35.03-1.x86_64.rpm
export CUDNN=cuda-12-9.5.1.17-1.x86_64
export NCCL=2.23.4-1+cuda12.6.x86_64
export NVCOMP=nvcomp-linux-x86_64-4.0.1-cuda12.x
fi
echo "ARCH=$ARCH" >> $GITHUB_ENV
echo "PREFIX=$PREFIX" >> $GITHUB_ENV
Expand Down Expand Up @@ -165,7 +165,7 @@ runs:
if [[ -n ${ARCH_CUDA:-} ]] && [[ -n ${CI_DEPLOY_NEED_CUDA:-} ]]; then
echo Installing CUDA, cuDNN, nvCOMP, etc
curl -LO https://developer.download.nvidia.com/compute/cuda/12.6.0/local_installers/$CUDA
curl -LO https://developer.download.nvidia.com/compute/cuda/12.6.2/local_installers/$CUDA
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libcudnn9-$CUDNN.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libcudnn9-devel-$CUDNN.rpm
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libnccl-$NCCL.rpm
Expand All @@ -183,7 +183,7 @@ runs:
for f in /usr/local/cuda/lib64/libcudnn*so.9.*; do $SUDO ln -sf $f ${f:0:${#f}-4}; $SUDO ln -sf $f ${f:0:${#f}-6}; done
if [[ -n ${NVCOMP:-} ]]; then
curl -LO https://developer.download.nvidia.com/compute/nvcomp/4.0.0/local_installers/$NVCOMP.tar.gz
curl -LO https://developer.download.nvidia.com/compute/nvcomp/4.0.1/local_installers/$NVCOMP.tar.gz
$SUDO tar -xvf $NVCOMP.tar.gz -C /usr/local/cuda/lib64/ --strip-components=1 lib/ || $SUDO tar -xvf $NVCOMP.tar.gz -C /usr/local/cuda/lib64/ --strip-components=2 nvcomp/lib/
$SUDO tar -xvf $NVCOMP.tar.gz -C /usr/local/cuda/include/ --strip-components=1 include/ || $SUDO tar -xvf $NVCOMP.tar.gz -C /usr/local/cuda/include/ --strip-components=2 nvcomp/include/
rm -f $NVCOMP.tar.gz
Expand Down Expand Up @@ -213,16 +213,16 @@ runs:
if [[ "$CI_DEPLOY_PLATFORM" == "linux-arm64" ]] && [[ "$CI_DEPLOY_MODULE" == "tensorrt" ]]; then
echo Installing TensorRT
# python3 -m gdown 1LZRCv4ZAGiDQAu4pvADJIGntq4cGl5tU
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/tars/TensorRT-10.3.0.26.Ubuntu-22.04.aarch64-gnu.cuda-12.5.tar.gz
$SUDO tar -hxvf TensorRT-10.3.0.26.Ubuntu-22.04.aarch64-gnu.cuda-12.5.tar.gz -C /usr/local/
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.5.0/tars/TensorRT-10.5.0.18.Ubuntu-24.04.aarch64-gnu.cuda-12.6.tar.gz
$SUDO tar -hxvf TensorRT-10.5.0.18.Ubuntu-24.04.aarch64-gnu.cuda-12.6.tar.gz -C /usr/local/
$SUDO ln -sf /usr/local/TensorRT* /usr/local/tensorrt
fi
if [[ "$CI_DEPLOY_PLATFORM" == "linux-x86_64" ]] && [[ "$CI_DEPLOY_MODULE" == "tensorrt" ]]; then
echo Installing TensorRT
# python3 -m gdown 1dVhD-DEYY42QbZe1GXl-vxe3k6KqWGsL
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/tars/TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar.gz
$SUDO tar -hxvf TensorRT-10.3.0.26.Linux.x86_64-gnu.cuda-12.5.tar.gz -C /usr/local/
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.5.0/tars/TensorRT-10.5.0.18.Linux.x86_64-gnu.cuda-12.6.tar.gz
$SUDO tar -hxvf TensorRT-10.5.0.18.Linux.x86_64-gnu.cuda-12.6.tar.gz -C /usr/local/
$SUDO ln -sf /usr/local/TensorRT* /usr/local/tensorrt
fi
Expand Down
26 changes: 13 additions & 13 deletions .github/actions/deploy-windows/action.yml
Original file line number Diff line number Diff line change
Expand Up @@ -99,22 +99,22 @@ runs:
if "%CI_DEPLOY_PLATFORM%"=="windows-x86_64" if not "%CI_DEPLOY_NEED_CUDA%"=="" (
echo Installing CUDA, cuDNN, nvCOMP, 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/12.6.0/local_installers/cuda_12.6.0_560.76_windows.exe
curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.3.0.75_cuda12-archive.zip
curl -LO https://developer.download.nvidia.com/compute/cuda/12.6.2/local_installers/cuda_12.6.2_560.94_windows.exe
curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.5.1.17_cuda12-archive.zip
curl -LO http://www.winimage.com/zLibDll/zlib123dllx64.zip
curl -LO https://developer.download.nvidia.com/compute/nvcomp/4.0.0/local_installers/nvcomp-windows-x86_64-4.0.0-cuda12.5.zip
curl -LO https://developer.download.nvidia.com/compute/nvcomp/4.0.1/local_installers/nvcomp-windows-x86_64-4.0.1-cuda12.x.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_12.6.0_560.76_windows.exe -s
cuda_12.6.2_560.94_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_64-9.3.0.75_cuda12-archive.zip
unzip cudnn-windows-x86_64-9.5.1.17_cuda12-archive.zip
unzip zlib123dllx64.zip
unzip nvcomp-windows-x86_64-4.0.0-cuda12.5.zip
move cudnn-windows-x86_64-9.3.0.75_cuda12-archive\bin\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\bin"
move cudnn-windows-x86_64-9.3.0.75_cuda12-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\include"
move cudnn-windows-x86_64-9.3.0.75_cuda12-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\lib\x64"
unzip nvcomp-windows-x86_64-4.0.1-cuda12.x.zip
move cudnn-windows-x86_64-9.5.1.17_cuda12-archive\bin\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\bin"
move cudnn-windows-x86_64-9.5.1.17_cuda12-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\include"
move cudnn-windows-x86_64-9.5.1.17_cuda12-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\lib\x64"
move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\bin"
move nvcomp\include\* "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\include"
move nvcomp\include\device "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\include"
Expand Down Expand Up @@ -144,9 +144,9 @@ runs:
if "%CI_DEPLOY_MODULE%"=="tensorrt" (
echo Installing TensorRT
rem python -m gdown 1GfmJ1BKbacLpUU-0i_mGu0sjrAS0Xzzi
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.3.0/zip/TensorRT-10.3.0.26.Windows.win10.cuda-12.5.zip
unzip TensorRT-10.3.0.26.Windows.win10.cuda-12.5.zip
move TensorRT-10.3.0.26 "%ProgramFiles%\NVIDIA GPU Computing Toolkit\TensorRT"
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.5.0/zip/TensorRT-10.5.0.18.Windows.win10.cuda-12.6.zip
unzip TensorRT-10.5.0.18.Windows.win10.cuda-12.6.zip
move TensorRT-10.5.0.18 "%ProgramFiles%\NVIDIA GPU Computing Toolkit\TensorRT"
)
if "%CI_DEPLOY_MODULE%"=="mkl" (
Expand Down Expand Up @@ -221,7 +221,7 @@ runs:
set "CUDA_PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6"
set "CUDA_PATH_V12_6=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6"
set "PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\libnvvp;%PATH%"
echo CUDA Version 12.6.0>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\version.txt"
echo CUDA Version 12.6.2>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.6\version.txt"
)
set "CCACHE_DIR=%USERPROFILE%\ccache"
set "PATH=C:\hostedtoolcache\windows\Python\3.9.13\x64;C:\msys64\%MSYSTEM%\bin;C:\msys64\usr\bin;%ProgramFiles%\apache-maven-3.6.3\bin;%PATH%"
Expand Down
2 changes: 1 addition & 1 deletion .github/workflows/tritonserver.yml
Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,6 @@ env:
jobs:
linux-x86_64:
runs-on: ubuntu-20.04
container: nvcr.io/nvidia/tritonserver:24.07-tf2-python-py3
container: nvcr.io/nvidia/tritonserver:24.09-tf2-python-py3
steps:
- uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
2 changes: 1 addition & 1 deletion CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
* Build FFmpeg with zimg to enable zscale filter ([pull #1481](https://github.com/bytedeco/javacpp-presets/pull/1481))
* Enable PulseAudio support for FFmpeg on Linux ([pull #1472](https://github.com/bytedeco/javacpp-presets/pull/1472))
* Virtualize `btCollisionWorld`, `btOverlapFilterCallback`, `btOverlapCallback` from Bullet Physics SDK ([pull #1475](https://github.com/bytedeco/javacpp-presets/pull/1475))
* Upgrade presets for OpenCV 4.10.0, FFmpeg 7.1, Spinnaker 4.0.0.116 ([pull #1524](https://github.com/bytedeco/javacpp-presets/pull/1524)), MKL 2024.2, DNNL 3.6, OpenBLAS 0.3.28, CMINPACK 1.3.11, GSL 2.8, CPython 3.13.0, NumPy 2.1.2, SciPy 1.14.1, LLVM 19.1.2, LibRaw 0.21.2 ([pull #1520](https://github.com/bytedeco/javacpp-presets/pull/1520)), Leptonica 1.85.0, Tesseract 5.4.1, libffi 3.4.6, CUDA 12.6.0, cuDNN 9.3.0, NCCL 2.22.3, nvCOMP 4.0.0, OpenCL 3.0.16, NVIDIA Video Codec SDK 12.2.72, PyTorch 2.5.0 ([pull #1466](https://github.com/bytedeco/javacpp-presets/pull/1466)), SentencePiece 0.2.0, TensorFlow Lite 2.18.0, TensorRT 10.3.0.26, Triton Inference Server 2.48.0, ONNX 1.17.0, ONNX Runtime 1.19.2, TVM 0.18.0, and their dependencies
* Upgrade presets for OpenCV 4.10.0, FFmpeg 7.1, Spinnaker 4.0.0.116 ([pull #1524](https://github.com/bytedeco/javacpp-presets/pull/1524)), MKL 2024.2, DNNL 3.6, OpenBLAS 0.3.28, CMINPACK 1.3.11, GSL 2.8, CPython 3.13.0, NumPy 2.1.2, SciPy 1.14.1, LLVM 19.1.2, LibRaw 0.21.2 ([pull #1520](https://github.com/bytedeco/javacpp-presets/pull/1520)), Leptonica 1.85.0, Tesseract 5.4.1, libffi 3.4.6, CUDA 12.6.2, cuDNN 9.5.1, NCCL 2.23.4, nvCOMP 4.0.1, OpenCL 3.0.16, NVIDIA Video Codec SDK 12.2.72, PyTorch 2.5.0 ([pull #1466](https://github.com/bytedeco/javacpp-presets/pull/1466)), SentencePiece 0.2.0, TensorFlow Lite 2.18.0, TensorRT 10.5.0.18, Triton Inference Server 2.50.0, ONNX 1.17.0, ONNX Runtime 1.19.2, TVM 0.18.0, and their dependencies

### January 29, 2024 version 1.5.10
* Introduce `macosx-arm64` builds for PyTorch ([pull #1463](https://github.com/bytedeco/javacpp-presets/pull/1463))
Expand Down
8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -217,8 +217,8 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
* Caffe 1.0 https://github.com/BVLC/caffe
* OpenPose 1.7.0 https://github.com/CMU-Perceptual-Computing-Lab/openpose
* CUDA 12.6.x https://developer.nvidia.com/cuda-downloads
* cuDNN 9.3.x https://developer.nvidia.com/cudnn
* NCCL 2.22.x https://developer.nvidia.com/nccl
* cuDNN 9.5.x https://developer.nvidia.com/cudnn
* NCCL 2.23.x https://developer.nvidia.com/nccl
* nvCOMP 4.0.x https://developer.nvidia.com/nvcomp
* NVIDIA Video Codec SDK 12.2.x https://developer.nvidia.com/nvidia-video-codec-sdk
* OpenCL 3.0.x https://github.com/KhronosGroup/OpenCL-ICD-Loader
Expand All @@ -227,8 +227,8 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
* SentencePiece 0.2.0 https://github.com/google/sentencepiece
* TensorFlow 1.15.x https://github.com/tensorflow/tensorflow
* TensorFlow Lite 2.18.x https://github.com/tensorflow/tensorflow
* TensorRT 10.3.x https://developer.nvidia.com/tensorrt
* Triton Inference Server 2.48.x https://developer.nvidia.com/nvidia-triton-inference-server
* TensorRT 10.5.x https://developer.nvidia.com/tensorrt
* Triton Inference Server 2.50.x https://developer.nvidia.com/nvidia-triton-inference-server
* The Arcade Learning Environment 0.8.x https://github.com/mgbellemare/Arcade-Learning-Environment
* DepthAI 2.24.x https://github.com/luxonis/depthai-core
* ONNX 1.17.x https://github.com/onnx/onnx
Expand Down
12 changes: 6 additions & 6 deletions cuda/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -25,10 +25,10 @@ Introduction
------------
This directory contains the JavaCPP Presets module for:

* CUDA 12.6.0 https://developer.nvidia.com/cuda-zone
* cuDNN 9.3.0 https://developer.nvidia.com/cudnn
* NCCL 2.22.3 https://developer.nvidia.com/nccl
* nvCOMP 4.0.0 https://developer.nvidia.com/nvcomp
* CUDA 12.6.2 https://developer.nvidia.com/cuda-zone
* cuDNN 9.5.1 https://developer.nvidia.com/cudnn
* NCCL 2.23.4 https://developer.nvidia.com/nccl
* nvCOMP 4.0.1 https://developer.nvidia.com/nvcomp

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

Expand Down Expand Up @@ -67,14 +67,14 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform</artifactId>
<version>12.6-9.3-1.5.11-SNAPSHOT</version>
<version>12.6-9.5-1.5.11-SNAPSHOT</version>
</dependency>

<!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform-redist</artifactId>
<version>12.6-9.3-1.5.11-SNAPSHOT</version>
<version>12.6-9.5-1.5.11-SNAPSHOT</version>
</dependency>

</dependencies>
Expand Down
2 changes: 1 addition & 1 deletion cuda/platform/pom.xml
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@

<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform</artifactId>
<version>12.6-9.3-${project.parent.version}</version>
<version>12.6-9.5-${project.parent.version}</version>
<name>JavaCPP Presets Platform for CUDA</name>

<properties>
Expand Down
2 changes: 1 addition & 1 deletion cuda/platform/redist/pom.xml
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@

<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform-redist</artifactId>
<version>12.6-9.3-${project.parent.version}</version>
<version>12.6-9.5-${project.parent.version}</version>
<name>JavaCPP Presets Platform Redist for CUDA</name>

<properties>
Expand Down
2 changes: 1 addition & 1 deletion cuda/pom.xml
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@

<groupId>org.bytedeco</groupId>
<artifactId>cuda</artifactId>
<version>12.6-9.3-${project.parent.version}</version>
<version>12.6-9.5-${project.parent.version}</version>
<name>JavaCPP Presets for CUDA</name>

<dependencies>
Expand Down
4 changes: 2 additions & 2 deletions cuda/samples/pom.xml
Original file line number Diff line number Diff line change
Expand Up @@ -12,14 +12,14 @@
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform</artifactId>
<version>12.6-9.3-1.5.11-SNAPSHOT</version>
<version>12.6-9.5-1.5.11-SNAPSHOT</version>
</dependency>

<!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>cuda-platform-redist</artifactId>
<version>12.6-9.3-1.5.11-SNAPSHOT</version>
<version>12.6-9.5-1.5.11-SNAPSHOT</version>
</dependency>

</dependencies>
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@
import static org.bytedeco.cuda.global.cublas.*;


/** Results structure used by cublasLtMatmulGetAlgo.
/** Results structure used by cublasLtMatmulAlgoGetHeuristic
*
* Holds returned configured algo descriptor and its runtime properties.
*/
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,8 @@
/**
* \brief The activity record providing detailed information for a marker.
*
* User must enable CUPTI_ACTIVITY_KIND_MARKER as well
* to get records for marker data.
* The marker data contains color, payload, and category.
* (CUPTI_ACTIVITY_KIND_MARKER_DATA).
*/
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Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
import static org.bytedeco.cuda.global.cupti.*;



/**
* \brief Data passed into a runtime or driver API callback function.
*
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