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Final 12.9 README updates

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Rob Armstrong 2025-05-01 09:39:06 -07:00
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1
CHANGELOG.md
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@ -2,6 +2,7 @@
### CUDA 12.9 ### CUDA 12.9
* Updated toolchain for cross-compilation for Tegra Linux platforms. * Updated toolchain for cross-compilation for Tegra Linux platforms.
* Added `run_tests.py` utility to exercise all samples. See README.md for details
* Repository has been updated with consistent code formatting across all samples * Repository has been updated with consistent code formatting across all samples
* Many small code tweaks and bug fixes (see commit history for details) * Many small code tweaks and bug fixes (see commit history for details)
* Removed the following outdated samples: * Removed the following outdated samples:

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README.md
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@ -14,7 +14,7 @@ This section describes the release notes for the CUDA Samples on GitHub only.
### Prerequisites ### Prerequisites
Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform. Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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). 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).
### Getting the CUDA Samples ### Getting the CUDA Samples
@ -122,7 +122,7 @@ Instead of being in the default location, `/usr/local/cuda/include` or `/usr/loc
`/usr/local/cuda/<ARCH>/targets/aarch64-linux/lib` `/usr/local/cuda/<ARCH>/targets/aarch64-linux/lib`
and and
`/usr/local/cuda-12.8/<ARCH>/include` `/usr/local/cuda/<ARCH>/include`
An example build might look like this: An example build might look like this:

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Samples/8_Platform_Specific/Tegra/cudaNvSciBufMultiplanar/README.md
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@ -30,7 +30,7 @@ cudaDeviceGetAttribute, cudaNvSciBufMultiplanar, cudaDestroyExternalMemory, cuDr
## Prerequisites ## Prerequisites
Download and install the [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform. Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed. Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details) ## References (for more details)