39 lines
1.2 KiB
ReStructuredText
39 lines
1.2 KiB
ReStructuredText
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Resources
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=========
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Examples
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--------
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For recipes and patterns, see our examples:
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* ``cuda.compute`` `examples <https://github.com/NVIDIA/cccl/tree/main/python/cuda_cccl/tests/compute/examples>`_
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CUB and Thrust Documentation
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----------------------------
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The CCCL Python libraries are built on top of the CUB and Thrust libraries.
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See the `CUB documentation <https://nvlabs.github.io/cub/>`_ and `Thrust documentation <https://thrust.github.io/>`_
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for more information regarding the underlying libraries.
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Asking for Help
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---------------
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If you have a question, run into an issue, or have a feature request,
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please raise an issue or start a discussion on our `GitHub repository <https://github.com/NVIDIA/cccl/issues>`_.
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Contributing
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------------
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We welcome contributions! Please see the
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`contributing guide <https://github.com/NVIDIA/cccl/blob/main/CONTRIBUTING.md>`_
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for instructions on how to set up a development environment and submit a pull request.
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Once you have a development environment set up, see :doc:`setup` for instructions
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on how to install `cuda.cccl` in development mode.
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License
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-------
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The CCCL Python libraries are licensed under the `Apache License 2.0 <https://www.apache.org/licenses/LICENSE-2.0>`_.
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