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Fix several issues with wheel builds - #439
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- Ensure correct directory layout in both wheels
- Add CMake entry point to libkvikio wheel
- Require kvikio wheel to use libkvikio wheel
- Exclude unneeded source files from wheel
* Ensure correct directory layout in both wheels * Add CMake entry point to libkvikio wheel * Require kvikio wheel to use libkvikio wheel * Exclude unneeded source files from wheel
KyleFromNVIDIA
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jameslamb
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these changes all make sense to me, thanks
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robertmaynard
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vyasr
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This was referenced Sep 23, 2024
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As of #439 the `FIND_KVIKIO_CPP` variable is largely superfluous. In principle we could still choose to support users who want to build the Python package without having the C++ library already available somewhere, but that use case is vanishingly small now that we have C++ wheels and it would require the developer to intentionally build without isolation and omit the C++ wheel from the environment. For advanced use cases like that it is reasonable to ask the user to handle building the C++ library separately on their own and making it available for the Python package to find. None of the normal build cases that we support (conda, pip, devcontainers, DLFW) require this any longer. Authors: - Vyas Ramasubramani (https://github.com/vyasr) Approvers: - Bradley Dice (https://github.com/bdice) URL: #466
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There have been a number of changes to RAPIDS builds over the course of this release and not all changes were fully propagated to the devcontainers repo. This repo addresses the following: - As of rapidsai/kvikio#369, kvikio produces wheels, and rapidsai/kvikio#439 contains critical fixes that allow the kvikio Python wheel to use the C++ libkvikio wheel. In RAPIDS Python builds we have consistently removed support for the Python build triggering the C++ build as we have created C++ wheels since in both conda and pip environments we now expect the library to be found and we do not need to automatically support the more esoteric use case of someone turning off build isolation but not having the C++ library available (devs can handle this case themselves if they wish). As a result, once rapidsai/kvikio#466 is merged, the `FIND_KVIKIO_CPP` variable will be completely superfluous and we can remove that here. - As of NVIDIA/cudf#16640 libcudf no longer links to libarrow and `USE_LIBARROW_FROM_PYARROW` is no longer used. - The libcudf and libcuspatial Python package builds in the devcontainer should (like all other Python packages) omit the CUDA version suffix. For that, they need to use the `rapids_build_backend_args`.
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