| Commit message (Collapse) | Author | Age | Files | Lines |
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CUDA 11.6 added the `nvcc -arch=native` flag to automatically compile
for the host GPUs' architectures. Add support for specifying this
special `native` value in `CMAKE_CUDA_ARCHITECTURES` and
`CUDA_ARCHITECTURES`. During the compiler ABI detection step,
detect the native architectures so we can pass them explicitly
when using Clang or older versions of nvcc.
Fixes: #22375
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Since commit 8f64df0a7c (CUDA: Generic all and all-major support,
2021-12-19, v3.23.0-rc1~23^2), these special values do not require any
specific compiler or version.
While at it, re-organize CUDA_ARCHITECTURES special value documentation.
Move the `versionadded` markup inside each special value so we can add
more in future versions.
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A common anti-pattern is to copy from the `CUDA_ARCHITECTURES` documentation.
If at any point the user tries to simplify by changin `set_property` to `set_target_properties` the code breaks.
To better train users, provide and example of how to set multiple
CUDA architectures with `set_target_properties`.
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Run the `Utilities/Sphinx/update_versions.py` script to add initial
markup to every top-level document and find module.
Issue: #19715
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The ability to disable adding architectures completely for packaging purposes
and cases requiring passing the architectures flags explicitly has been
requested.
Support a false value for CUDA_ARCHITECTURES and CMAKE_CUDA_ARCHITECTURES
for this purpose.
Implements #20821.
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Simplifies CUDA target architecture handling.
Required for Clang support as Clang doesn't automatically select a supported architecture.
We detect a supported architecture during compiler identification and set CMAKE_CUDA_ARCHITECTURES to it.
Introduces CMP0104 for backwards compatibility with manually setting code generation flags with NVCC.
Implements #17963.
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