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* Upgrade presets for CUDA 13.2.1, cuDNN 9.21.1.3, NCCL 2.29.3, nvCOMP 5.2.0.10, TensorRT 10.16.1.11, Triton Inference Server 2.68.0
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Lines changed: 9527 additions & 1991 deletions

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

Lines changed: 14 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -49,10 +49,10 @@ runs:
4949
export ARCH=arm64
5050
export ARCH_CUDA=sbsa
5151
export PREFIX=aarch64-linux-gnu
52-
export CUDA=cuda-repo-rhel8-13-1-local-13.1.1_590.48.01-1.aarch64.rpm
53-
export CUDNN=cuda-13-9.19.0.56-1.aarch64
54-
export NCCL=2.29.3-1+cuda13.1.aarch64
55-
export NVCOMP=nvcomp-linux-sbsa-5.1.0.21_cuda13-archive
52+
export CUDA=cuda-repo-rhel8-13-2-local-13.2.1_595.58.03-1.aarch64.rpm
53+
export CUDNN=cuda-13-9.21.1.3-1.aarch64
54+
export NCCL=2.30.4-1+cuda13.2.aarch64
55+
export NVCOMP=nvcomp-linux-sbsa-5.2.0.10_cuda13-archive
5656
export USERLAND_BUILDME="buildme --aarch64"
5757
elif [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]]; then
5858
export ARCH=ppc64el
@@ -71,10 +71,10 @@ runs:
7171
export ARCH=amd64
7272
export ARCH_CUDA=x86_64
7373
export PREFIX=x86_64-linux-gnu
74-
export CUDA=cuda-repo-rhel8-13-1-local-13.1.1_590.48.01-1.x86_64.rpm
75-
export CUDNN=cuda-13-9.19.0.56-1.x86_64
76-
export NCCL=2.29.3-1+cuda13.1.x86_64
77-
export NVCOMP=nvcomp-linux-x86_64-5.1.0.21_cuda13-archive
74+
export CUDA=cuda-repo-rhel8-13-2-local-13.2.1_595.58.03-1.x86_64.rpm
75+
export CUDNN=cuda-13-9.21.1.3-1.x86_64
76+
export NCCL=2.30.4-1+cuda13.2.x86_64
77+
export NVCOMP=nvcomp-linux-x86_64-5.2.0.10_cuda13-archive
7878
fi
7979
echo "ARCH=$ARCH" >> $GITHUB_ENV
8080
echo "PREFIX=$PREFIX" >> $GITHUB_ENV
@@ -176,7 +176,7 @@ runs:
176176
177177
if [[ -n ${ARCH_CUDA:-} ]] && [[ -n ${CI_DEPLOY_NEED_CUDA:-} ]]; then
178178
echo Installing CUDA, cuDNN, nvCOMP, etc
179-
curl -LO https://developer.download.nvidia.com/compute/cuda/13.1.1/local_installers/$CUDA
179+
curl -LO https://developer.download.nvidia.com/compute/cuda/13.2.1/local_installers/$CUDA
180180
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libcudnn9-$CUDNN.rpm
181181
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libcudnn9-devel-$CUDNN.rpm
182182
curl -LO https://developer.download.nvidia.com/compute/cuda/repos/rhel8/$ARCH_CUDA/libcudnn9-headers-$CUDNN.rpm
@@ -185,7 +185,7 @@ runs:
185185
186186
$SUDO rpm -i --force --ignorearch --nodeps $CUDA libcudnn*.rpm libnccl*.rpm
187187
rm -f *.rpm *.tgz *.txz *.tar.*
188-
pushd /var/cuda-repo-rhel8-13-1-local/; $SUDO rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; $SUDO rm *.rpm; popd
188+
pushd /var/cuda-repo-rhel8-13-2-local/; $SUDO rpm -i --force --ignorearch --nodeps cuda*.rpm libc*.rpm libn*.rpm; $SUDO rm *.rpm; popd
189189
$SUDO ln -snf /usr/local/cuda/targets/*/include /usr/local/cuda/include
190190
$SUDO ln -snf /usr/local/cuda/targets/*/lib /usr/local/cuda/lib64
191191
$SUDO ln -sf /usr/local/cuda/lib64/ /usr/local/cuda/lib
@@ -228,8 +228,8 @@ runs:
228228
if [[ "$CI_DEPLOY_PLATFORM" == "linux-arm64" ]] && [[ "$CI_DEPLOY_MODULE" == "tensorrt" ]]; then
229229
echo Installing TensorRT
230230
# python3 -m gdown 1LZRCv4ZAGiDQAu4pvADJIGntq4cGl5tU
231-
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.15.1/tars/TensorRT-10.15.1.29.Linux.aarch64-gnu.cuda-13.1.tar.gz
232-
$SUDO tar -hxvf TensorRT-10.15.1.29.Linux.aarch64-gnu.cuda-13.1.tar.gz -C /usr/local/
231+
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-13.2.tar.gz
232+
$SUDO tar -hxvf TensorRT-10.16.1.11.Linux.aarch64-gnu.cuda-13.2.tar.gz -C /usr/local/
233233
$SUDO ln -sf /usr/local/TensorRT* /usr/local/tensorrt
234234
$SUDO patchelf --set-rpath '$ORIGIN' /usr/local/tensorrt/lib/libnvinfer.so
235235
# Remove downloaded archives and unused libraries to avoid running out of disk space
@@ -239,8 +239,8 @@ runs:
239239
if [[ "$CI_DEPLOY_PLATFORM" == "linux-x86_64" ]] && [[ "$CI_DEPLOY_MODULE" == "tensorrt" ]]; then
240240
echo Installing TensorRT
241241
# python3 -m gdown 1dVhD-DEYY42QbZe1GXl-vxe3k6KqWGsL
242-
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.15.1/tars/TensorRT-10.15.1.29.Linux.x86_64-gnu.cuda-13.1.tar.gz
243-
$SUDO tar -hxvf TensorRT-10.15.1.29.Linux.x86_64-gnu.cuda-13.1.tar.gz -C /usr/local/
242+
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/tars/TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz
243+
$SUDO tar -hxvf TensorRT-10.16.1.11.Linux.x86_64-gnu.cuda-13.2.tar.gz -C /usr/local/
244244
$SUDO ln -sf /usr/local/TensorRT* /usr/local/tensorrt
245245
$SUDO patchelf --set-rpath '$ORIGIN' /usr/local/tensorrt/lib/libnvinfer.so
246246
# Remove downloaded archives and unused libraries to avoid running out of disk space

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

Lines changed: 29 additions & 29 deletions
Original file line numberDiff line numberDiff line change
@@ -139,34 +139,34 @@ runs:
139139
140140
if "%CI_DEPLOY_PLATFORM%"=="windows-x86_64" if not "%CI_DEPLOY_NEED_CUDA%"=="" (
141141
echo Installing CUDA, cuDNN, nvCOMP, etc
142-
curl -LO https://developer.download.nvidia.com/compute/cuda/13.1.1/local_installers/cuda_13.1.1_windows.exe
143-
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
142+
curl -LO https://developer.download.nvidia.com/compute/cuda/13.2.1/local_installers/cuda_13.2.1_windows.exe
143+
curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.21.1.3_cuda13-archive.zip
144144
curl -LO http://www.winimage.com/zLibDll/zlib123dllx64.zip
145-
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
146-
cuda_13.1.1_windows.exe -s
147-
unzip cudnn-windows-x86_64-9.19.0.56_cuda13-archive.zip
145+
curl -LO https://developer.download.nvidia.com/compute/nvcomp/redist/nvcomp/windows-x86_64/nvcomp-windows-x86_64-5.2.0.10_cuda13-archive.zip
146+
cuda_13.2.1_windows.exe -s
147+
unzip cudnn-windows-x86_64-9.21.1.3_cuda13-archive.zip
148148
unzip zlib123dllx64.zip
149-
unzip nvcomp-windows-x86_64-5.1.0.21_cuda13-archive.zip
150-
move cudnn-windows-x86_64-9.19.0.56_cuda13-archive\bin\x64\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\bin\x64"
151-
move cudnn-windows-x86_64-9.19.0.56_cuda13-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\include"
152-
move cudnn-windows-x86_64-9.19.0.56_cuda13-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\lib\x64"
153-
move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\bin\x64"
154-
move nvcomp-windows-x86_64-5.1.0.21_cuda13-archive\include\* "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\include"
155-
move nvcomp-windows-x86_64-5.1.0.21_cuda13-archive\include\nvcomp "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\include"
156-
move nvcomp-windows-x86_64-5.1.0.21_cuda13-archive\bin\nvcomp*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\bin\x64"
157-
move nvcomp-windows-x86_64-5.1.0.21_cuda13-archive\lib\nvcomp*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\lib\x64"
149+
unzip nvcomp-windows-x86_64-5.2.0.10_cuda13-archive.zip
150+
move cudnn-windows-x86_64-9.21.1.3_cuda13-archive\bin\x64\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\bin\x64"
151+
move cudnn-windows-x86_64-9.21.1.3_cuda13-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\include"
152+
move cudnn-windows-x86_64-9.21.1.3_cuda13-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\lib\x64"
153+
move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\bin\x64"
154+
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\include\* "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\include"
155+
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\include\nvcomp "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\include"
156+
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\bin\nvcomp*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\bin\x64"
157+
move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\lib\nvcomp*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\lib\x64"
158158
159159
rem echo Applying hotfix to Visual Studio 2019 for CUDA
160160
rem curl -LO https://raw.githubusercontent.com/microsoft/STL/main/stl/inc/cmath
161161
rem bash -c "find 'C:/Program Files (x86)/Microsoft Visual Studio/2019/Enterprise/VC/' -name cmath -exec cp -v cmath {} \;"
162-
bash -c "sed -i 's/cublas_v2.h/cublas_api.h/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/cublasXt.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/cusolverDn.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/cusolverSp.h'"
163-
bash -c "sed -i 's/#if !defined(__cplusplus) || __cplusplus >= 201103L/#if 1/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/driver_types.h'"
164-
rem bash -c "sed -i '/block_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/cub/cub.cuh'"
165-
rem bash -c "sed -i '/device_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/cub/cub.cuh'"
166-
rem bash -c "sed -i '/device_segmented_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/cub/cub.cuh'"
167-
rem bash -c "sed -i '/warp_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/cub/cub.cuh'"
168-
bash -c "cp -a ""C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/cccl/*"" ""C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/include/"""
169-
bash -c "find 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.1/'"
162+
bash -c "sed -i 's/cublas_v2.h/cublas_api.h/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cublasXt.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cusolverDn.h' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cusolverSp.h'"
163+
bash -c "sed -i 's/#if !defined(__cplusplus) || __cplusplus >= 201103L/#if 1/g' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/driver_types.h'"
164+
rem bash -c "sed -i '/block_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cub/cub.cuh'"
165+
rem bash -c "sed -i '/device_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cub/cub.cuh'"
166+
rem bash -c "sed -i '/device_segmented_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cub/cub.cuh'"
167+
rem bash -c "sed -i '/warp_merge_sort.cuh/d' 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cub/cub.cuh'"
168+
bash -c "cp -a ""C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/cccl/*"" ""C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/include/"""
169+
bash -c "find 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.2/'"
170170
)
171171
172172
if "%CI_DEPLOY_MODULE%"=="nvcodec" (
@@ -179,9 +179,9 @@ runs:
179179
if "%CI_DEPLOY_MODULE%"=="tensorrt" (
180180
echo Installing TensorRT
181181
rem python -m gdown 1GfmJ1BKbacLpUU-0i_mGu0sjrAS0Xzzi
182-
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.15.1/zip/TensorRT-10.15.1.29.Windows.amd64.cuda-13.1.zip
183-
unzip TensorRT-10.15.1.29.Windows.amd64.cuda-13.1.zip
184-
move TensorRT-10.15.1.29 "%ProgramFiles%\NVIDIA GPU Computing Toolkit\TensorRT"
182+
curl -LO https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.16.1/zip/TensorRT-10.16.1.11.Windows.amd64.cuda-13.2.zip
183+
unzip TensorRT-10.16.1.11.Windows.amd64.cuda-13.2.zip
184+
move TensorRT-10.16.1.11 "%ProgramFiles%\NVIDIA GPU Computing Toolkit\TensorRT"
185185
)
186186
187187
if "%CI_DEPLOY_MODULE%"=="mkl" (
@@ -260,10 +260,10 @@ runs:
260260
C:/msys64/usr/bin/bazel.exe version
261261
)
262262
if exist "%ProgramFiles%\NVIDIA GPU Computing Toolkit" (
263-
set "CUDA_PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1"
264-
set "CUDA_PATH_V13_1=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1"
265-
set "PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\libnvvp;%PATH%"
266-
echo CUDA Version 13.1.1>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.1\version.txt"
263+
set "CUDA_PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2"
264+
set "CUDA_PATH_V13_2=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2"
265+
set "PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\libnvvp;%PATH%"
266+
echo CUDA Version 13.2.1>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.2\version.txt"
267267
)
268268
269269
set "CCACHE_DIR=%USERPROFILE%\ccache"

‎.github/workflows/tritonserver.yml‎

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@@ -19,7 +19,7 @@ env:
1919
jobs:
2020
linux-x86_64:
2121
runs-on: ubuntu-22.04
22-
container: nvcr.io/nvidia/tritonserver:26.01-pyt-python-py3
22+
container: nvcr.io/nvidia/tritonserver:26.04-pyt-python-py3
2323
steps:
2424
- uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
2525
platform:

‎CHANGELOG.md‎

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@@ -4,7 +4,7 @@
44
* Add new `SampleOnnxMNIST` in samples for TensorRT ([pull #1742](https://github.com/bytedeco/javacpp-presets/pull/1742))
55
* Fix loading issues with `libomp.dylib` and `libiomp5.dylib` for DNNL and PyTorch on Mac
66
* Include `model_package_loader.h` header file in presets for PyTorch ([issue #1729](https://github.com/bytedeco/javacpp-presets/issues/1729))
7-
* Upgrade presets for FFmpeg 8.1, OpenBLAS 0.3.32, CPython 3.14.4, NumPy 2.4.4, SciPy 1.17.1, LLVM 22.1.1, PyTorch 2.11.0, TensorFlow Lite 2.21.0, ONNX 1.21.0, ONNX Runtime 1.24.4 ([pull #1750](https://github.com/bytedeco/javacpp-presets/pull/1750)), and their dependencies
7+
* Upgrade presets for FFmpeg 8.1, OpenBLAS 0.3.32, CUDA 13.2.1, cuDNN 9.21.1.3, NCCL 2.29.3, nvCOMP 5.2.0.10, CPython 3.14.4, NumPy 2.4.4, SciPy 1.17.1, LLVM 22.1.1, PyTorch 2.11.0, TensorFlow Lite 2.21.0, TensorRT 10.16.1.11, Triton Inference Server 2.68.0, ONNX 1.21.0, ONNX Runtime 1.24.4 ([pull #1750](https://github.com/bytedeco/javacpp-presets/pull/1750)), and their dependencies
88
* Compile classes with `parameters` bumping minimum requirements to Java SE 8 and Android 7.0 ([issue #1739](https://github.com/bytedeco/javacpp-presets/issues/1739))
99

1010
### February 22, 2026 version 1.5.13

‎README.md‎

Lines changed: 6 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -217,19 +217,19 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
217217
* Tesseract 5.5.x https://github.com/tesseract-ocr/tesseract
218218
* Caffe 1.0 https://github.com/BVLC/caffe
219219
* OpenPose 1.7.0 https://github.com/CMU-Perceptual-Computing-Lab/openpose
220-
* CUDA 13.1.x https://developer.nvidia.com/cuda-downloads
221-
* cuDNN 9.19.x https://developer.nvidia.com/cudnn
222-
* NCCL 2.29.x https://developer.nvidia.com/nccl
223-
* nvCOMP 5.1.x https://developer.nvidia.com/nvcomp
220+
* CUDA 13.2.x https://developer.nvidia.com/cuda-downloads
221+
* cuDNN 9.21.x https://developer.nvidia.com/cudnn
222+
* NCCL 2.30.x https://developer.nvidia.com/nccl
223+
* nvCOMP 5.2.x https://developer.nvidia.com/nvcomp
224224
* NVIDIA Video Codec SDK 13.0.x https://developer.nvidia.com/nvidia-video-codec-sdk
225225
* OpenCL 3.0.x https://github.com/KhronosGroup/OpenCL-ICD-Loader
226226
* MXNet 1.9.x https://github.com/apache/incubator-mxnet
227227
* PyTorch 2.11.x https://github.com/pytorch/pytorch
228228
* SentencePiece 0.2.x https://github.com/google/sentencepiece
229229
* TensorFlow 1.15.x https://github.com/tensorflow/tensorflow
230230
* TensorFlow Lite 2.21.x https://github.com/tensorflow/tensorflow
231-
* TensorRT 10.15.x https://developer.nvidia.com/tensorrt
232-
* Triton Inference Server 2.64.x https://developer.nvidia.com/nvidia-triton-inference-server
231+
* TensorRT 10.16.x https://developer.nvidia.com/tensorrt
232+
* Triton Inference Server 2.68.x https://developer.nvidia.com/nvidia-triton-inference-server
233233
* The Arcade Learning Environment 0.8.x https://github.com/mgbellemare/Arcade-Learning-Environment
234234
* DepthAI 2.24.x https://github.com/luxonis/depthai-core
235235
* ONNX 1.20.x https://github.com/onnx/onnx

‎cuda/README.md‎

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@@ -25,10 +25,10 @@ Introduction
2525
------------
2626
This directory contains the JavaCPP Presets module for:
2727

28-
* CUDA 13.1.1 https://developer.nvidia.com/cuda-zone
29-
* cuDNN 9.19.0.56 https://developer.nvidia.com/cudnn
30-
* NCCL 2.29.3 https://developer.nvidia.com/nccl
31-
* nvCOMP 5.1.0.21 https://developer.nvidia.com/nvcomp
28+
* CUDA 13.2.1 https://developer.nvidia.com/cuda-zone
29+
* cuDNN 9.21.1.3 https://developer.nvidia.com/cudnn
30+
* NCCL 2.30.4 https://developer.nvidia.com/nccl
31+
* nvCOMP 5.2.0.10 https://developer.nvidia.com/nvcomp
3232

3333
Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
3434

@@ -59,57 +59,57 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
5959
<modelVersion>4.0.0</modelVersion>
6060
<groupId>org.bytedeco.cuda</groupId>
6161
<artifactId>mnistcudnn</artifactId>
62-
<version>1.5.13</version>
62+
<version>1.5.14-SNAPSHOT</version>
6363
<properties>
6464
<exec.mainClass>MNISTCUDNN</exec.mainClass>
6565
</properties>
6666
<dependencies>
6767
<dependency>
6868
<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform</artifactId>
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<version>13.1-9.19-1.5.13</version>
70+
<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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<!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform-redist</artifactId>
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<version>13.1-9.19-1.5.13</version>
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<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform-redist-cublas</artifactId>
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<version>13.1-9.19-1.5.13</version>
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<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform-redist-cudnn</artifactId>
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<version>13.1-9.19-1.5.13</version>
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<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform-redist-cusolver</artifactId>
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<version>13.1-9.19-1.5.13</version>
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<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform-redist-cusparse</artifactId>
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<version>13.1-9.19-1.5.13</version>
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<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform-redist-npp</artifactId>
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<version>13.1-9.19-1.5.13</version>
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<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform-redist-nccl</artifactId>
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<version>13.1-9.19-1.5.13</version>
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<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform-redist-nvcomp</artifactId>
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<version>13.1-9.19-1.5.13</version>
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<version>13.2-9.21-1.5.14-SNAPSHOT</version>
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</dependency>
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</dependencies>

‎cuda/platform/pom.xml‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -12,7 +12,7 @@
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<groupId>org.bytedeco</groupId>
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<artifactId>cuda-platform</artifactId>
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<version>13.1-9.19-${project.parent.version}</version>
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<version>13.2-9.21-${project.parent.version}</version>
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<name>JavaCPP Presets Platform for CUDA</name>
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<properties>

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