* Upgrade presets for cuDNN 9.25.0

Author: m1ngyuan

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

@@ -51,7 +51,7 @@ runs:
           export PREFIX=aarch64-linux-gnu
           export CUDA=cuda-repo-rhel8-13-3-local-13.3.1_610.43.02-1.aarch64.rpm
           export CCCL=13-3-13.3.3.4.1-1.aarch64
-          export CUDNN=cuda-13-9.24.0.43-1.aarch64
+          export CUDNN=cuda-13-9.25.0.15-1.aarch64
           export NCCL=2.30.7-1+cuda13.3.aarch64
           export NVCOMP=nvcomp-linux-sbsa-5.2.0.10_cuda13-archive
           export USERLAND_BUILDME="buildme --aarch64"
@@ -74,7 +74,7 @@ runs:
           export PREFIX=x86_64-linux-gnu
           export CUDA=cuda-repo-rhel8-13-3-local-13.3.1_610.43.02-1.x86_64.rpm
           export CCCL=13-3-13.3.3.4.1-1.x86_64
-          export CUDNN=cuda-13-9.24.0.43-1.x86_64
+          export CUDNN=cuda-13-9.25.0.15-1.x86_64
           export NCCL=2.30.7-1+cuda13.3.x86_64
           export NVCOMP=nvcomp-linux-x86_64-5.2.0.10_cuda13-archive
         fi

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

@@ -147,16 +147,16 @@ 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/13.3.1/local_installers/cuda_13.3.1_windows.exe
-          curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.24.0.43_cuda13-archive.zip
+          curl -LO https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/windows-x86_64/cudnn-windows-x86_64-9.25.0.15_cuda13-archive.zip
           curl -LO http://www.winimage.com/zLibDll/zlib123dllx64.zip
           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
           cuda_13.3.1_windows.exe -s
-          unzip cudnn-windows-x86_64-9.24.0.43_cuda13-archive.zip
+          unzip cudnn-windows-x86_64-9.25.0.15_cuda13-archive.zip
           unzip zlib123dllx64.zip
           unzip nvcomp-windows-x86_64-5.2.0.10_cuda13-archive.zip
-          move cudnn-windows-x86_64-9.24.0.43_cuda13-archive\bin\x64\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\bin\x64"
-          move cudnn-windows-x86_64-9.24.0.43_cuda13-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\include"
-          move cudnn-windows-x86_64-9.24.0.43_cuda13-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\lib\x64"
+          move cudnn-windows-x86_64-9.25.0.15_cuda13-archive\bin\x64\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\bin\x64"
+          move cudnn-windows-x86_64-9.25.0.15_cuda13-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\include"
+          move cudnn-windows-x86_64-9.25.0.15_cuda13-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\lib\x64"
           move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\bin\x64"
           move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\include\* "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\include"
           move nvcomp-windows-x86_64-5.2.0.10_cuda13-archive\include\nvcomp "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v13.3\include"

.github/workflows/cuda.yml

@@ -24,7 +24,7 @@ jobs:
       matrix:
         file: [pom.xml, redist, redist-cublas, redist-cudnn, redist-cusolver, redist-cusparse, redist-npp, redist-nccl, redist-nvcomp]
     steps:
-      - uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
+      - uses: m1ngyuan/javacpp-presets/.github/actions/deploy-ubuntu@actions
 #  linux-ppc64le:
 #    runs-on: ubuntu-22.04
 #    strategy:
@@ -38,7 +38,7 @@ jobs:
       matrix:
         file: [pom.xml, redist, redist-cublas, redist-cudnn, redist-cusolver, redist-cusparse, redist-npp, redist-nccl, redist-nvcomp]
     steps:
-      - uses: bytedeco/javacpp-presets/.github/actions/deploy-ubuntu@actions
+      - uses: m1ngyuan/javacpp-presets/.github/actions/deploy-ubuntu@actions
 #  macosx-x86_64:
 #    runs-on: macos-13
 #    strategy:
@@ -52,7 +52,7 @@ jobs:
       matrix:
         file: [pom.xml, redist, redist-cublas, redist-cudnn, redist-cusolver, redist-cusparse, redist-npp, redist-nccl, redist-nvcomp]
     steps:
-      - uses: bytedeco/javacpp-presets/.github/actions/deploy-windows@actions
+      - uses: m1ngyuan/javacpp-presets/.github/actions/deploy-windows@actions
   platform:
     needs: [linux-arm64, linux-x86_64, windows-x86_64]
 #    needs: [linux-ppc64le, linux-x86_64, macosx-x86_64, windows-x86_64]

CHANGELOG.md

@@ -9,7 +9,7 @@
  * Add new `SampleOnnxMNIST` in samples for TensorRT ([pull #1742](https://github.com/bytedeco/javacpp-presets/pull/1742))
  * Fix loading issues with `libomp.dylib` and `libiomp5.dylib` for DNNL and PyTorch on Mac
  * Include `model_package_loader.h` header file in presets for PyTorch ([issue #1729](https://github.com/bytedeco/javacpp-presets/issues/1729))
- * Upgrade presets for FFmpeg 8.1.1, MKL 2026.0.0, DNNL 3.12.2, OpenBLAS 0.3.33, CUDA 13.3.1, cuDNN 9.24.0.43, NCCL 2.30.7, nvCOMP 5.2.0.10, NVIDIA Video Codec SDK 13.1.15, OpenCL 3.1.1, FFTW 3.3.11, CPython 3.14.6, NumPy 2.5.0, SciPy 1.18.0, LLVM 22.1.7, PyTorch 2.13.0, TensorFlow Lite 2.21.0, TensorRT 11.1.0.106, Triton Inference Server 2.70.0, ONNX 1.22.0, ONNX Runtime 1.27.1 ([pull #1789](https://github.com/bytedeco/javacpp-presets/pull/1789)), and their dependencies
+ * Upgrade presets for FFmpeg 8.1.1, MKL 2026.0.0, DNNL 3.12.2, OpenBLAS 0.3.33, CUDA 13.3.1, cuDNN 9.25.0.15, NCCL 2.30.7, nvCOMP 5.2.0.10, NVIDIA Video Codec SDK 13.1.15, OpenCL 3.1.1, FFTW 3.3.11, CPython 3.14.6, NumPy 2.5.0, SciPy 1.18.0, LLVM 22.1.7, PyTorch 2.13.0, TensorFlow Lite 2.21.0, TensorRT 11.1.0.106, Triton Inference Server 2.70.0, ONNX 1.22.0, ONNX Runtime 1.27.1 ([pull #1789](https://github.com/bytedeco/javacpp-presets/pull/1789)), and their dependencies
  * 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))
 
 ### February 22, 2026 version 1.5.13

cuda/README.md

@@ -26,7 +26,7 @@ Introduction
 This directory contains the JavaCPP Presets module for:
 
  * CUDA 13.3.1  https://developer.nvidia.com/cuda-zone
- * cuDNN 9.24.0.43  https://developer.nvidia.com/cudnn
+ * cuDNN 9.25.0.15  https://developer.nvidia.com/cudnn
  * NCCL 2.30.7  https://developer.nvidia.com/nccl
  * nvCOMP 5.2.0.10  https://developer.nvidia.com/nvcomp