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* Upgrade presets for PyTorch 2.12.0
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‎CHANGELOG.md‎

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* Add new `SampleOnnxMNIST` in samples for TensorRT ([pull #1742](https://github.com/bytedeco/javacpp-presets/pull/1742))
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* Fix loading issues with `libomp.dylib` and `libiomp5.dylib` for DNNL and PyTorch on Mac
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* Include `model_package_loader.h` header file in presets for PyTorch ([issue #1729](https://github.com/bytedeco/javacpp-presets/issues/1729))
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* Upgrade presets for FFmpeg 8.1, OpenBLAS 0.3.32, CUDA 13.2.1, cuDNN 9.21.1.3, NCCL 2.30.4, 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 1.25.1 ([pull #1753](https://github.com/bytedeco/javacpp-presets/pull/1753)), and their dependencies
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* Upgrade presets for FFmpeg 8.1, OpenBLAS 0.3.32, CUDA 13.2.1, cuDNN 9.21.1.3, NCCL 2.30.4, nvCOMP 5.2.0.10, CPython 3.14.4, NumPy 2.4.4, SciPy 1.17.1, LLVM 22.1.1, PyTorch 2.12.0, TensorFlow Lite 2.21.0, TensorRT 10.16.1.11, Triton Inference Server 2.68.0, ONNX 1.21.0, ONNX Runtime 1.25.1 ([pull #1753](https://github.com/bytedeco/javacpp-presets/pull/1753)), and their dependencies
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* 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))
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### February 22, 2026 version 1.5.13

‎README.md‎

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* NVIDIA Video Codec SDK 13.0.x https://developer.nvidia.com/nvidia-video-codec-sdk
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* OpenCL 3.0.x https://github.com/KhronosGroup/OpenCL-ICD-Loader
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* MXNet 1.9.x https://github.com/apache/incubator-mxnet
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* PyTorch 2.11.x https://github.com/pytorch/pytorch
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* PyTorch 2.12.x https://github.com/pytorch/pytorch
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* SentencePiece 0.2.x https://github.com/google/sentencepiece
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* TensorFlow 1.15.x https://github.com/tensorflow/tensorflow
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* TensorFlow Lite 2.21.x https://github.com/tensorflow/tensorflow

‎platform/pom.xml‎

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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>pytorch-platform</artifactId>
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<version>2.11.0-${project.version}</version>
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<version>2.12.0-${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>

‎pytorch/README.md‎

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------------
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This directory contains the JavaCPP Presets module for:
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* PyTorch 2.11.0 https://pytorch.org/
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* PyTorch 2.12.0 https://pytorch.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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<artifactId>pytorch-platform</artifactId>
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<version>2.11.0-1.5.14-SNAPSHOT</version>
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<version>2.12.0-1.5.14-SNAPSHOT</version>
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</dependency>
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<!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>pytorch-platform-gpu</artifactId>
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<version>2.11.0-1.5.14-SNAPSHOT</version>
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<version>2.12.0-1.5.14-SNAPSHOT</version>
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<!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->

‎pytorch/cppbuild.sh‎

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export PYTHON_BIN_PATH=$(which python.exe)
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PYTORCH_VERSION=2.11.0
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PYTORCH_VERSION=2.12.0
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export PYTORCH_BUILD_VERSION="$PYTORCH_VERSION"
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export PYTORCH_BUILD_NUMBER=1

‎pytorch/platform/gpu/pom.xml‎

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<groupId>org.bytedeco</groupId>
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<artifactId>pytorch-platform-gpu</artifactId>
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<version>2.11.0-${project.parent.version}</version>
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<version>2.12.0-${project.parent.version}</version>
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<name>JavaCPP Presets Platform GPU for PyTorch</name>
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<properties>

‎pytorch/platform/pom.xml‎

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<groupId>org.bytedeco</groupId>
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<version>2.11.0-${project.parent.version}</version>
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<version>2.12.0-${project.parent.version}</version>
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<name>JavaCPP Presets Platform for PyTorch</name>
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<properties>

‎pytorch/pom.xml‎

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<groupId>org.bytedeco</groupId>
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<artifactId>pytorch</artifactId>
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<version>2.11.0-${project.parent.version}</version>
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<version>2.12.0-${project.parent.version}</version>
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<name>JavaCPP Presets for PyTorch</name>
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<dependencies>

‎pytorch/samples/pom.xml‎

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<version>2.11.0-1.5.14-SNAPSHOT</version>
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<version>2.12.0-1.5.14-SNAPSHOT</version>
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<!-- Additional dependencies required to use CUDA, cuDNN, and NCCL -->
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<dependency>
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<version>2.11.0-1.5.14-SNAPSHOT</version>
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<version>2.12.0-1.5.14-SNAPSHOT</version>
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<!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->

‎pytorch/src/gen/java/org/bytedeco/pytorch/AOTIModelContainerRunner.java‎

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public native @ByVal TensorVector run(
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@Const @ByRef TensorVector inputs,

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