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Final 12.9 README updates
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CHANGELOG.md

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### CUDA 12.9
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* Updated toolchain for cross-compilation for Tegra Linux platforms.
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* Added `run_tests.py` utility to exercise all samples. See README.md for details
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* Repository has been updated with consistent code formatting across all samples
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* Many small code tweaks and bug fixes (see commit history for details)
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* Removed the following outdated samples:

README.md

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### Prerequisites
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Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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For system requirements and installation instructions of cuda toolkit, please refer to the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/), and the [Windows Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html).
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### Getting the CUDA Samples
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`/usr/local/cuda/<ARCH>/targets/aarch64-linux/lib`
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and
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`/usr/local/cuda-12.8/<ARCH>/include`
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`/usr/local/cuda/<ARCH>/include`
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An example build might look like this:
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Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md

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## Prerequisites
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Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)

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