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Copy file name to clipboardExpand all lines: 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 LLVM 22.1.1, PyTorch 2.11.0, TensorFlow Lite 2.21.0, and their dependencies
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* Upgrade presets for FFmpeg 8.1, LLVM 22.1.1, PyTorch 2.11.0, TensorFlow Lite 2.21.0, 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))
Copy file name to clipboardExpand all lines: README.md
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@@ -181,7 +181,7 @@ The JavaCPP Presets depend on Maven, a powerful build system for Java, so before
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Each child module in turn relies by default on the included [`cppbuild.sh` scripts](#the-cppbuildsh-scripts), explained below, to install its corresponding native libraries in the `cppbuild` subdirectory. To use native libraries already installed somewhere else on the system, other installation directories than `cppbuild` can also be specified either in the `pom.xml` files or in the `.java` configuration files. The following versions are supported:
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