cudaPackages.cuda_compat: ignore missing libs provided at runtime
cudaPackages.gpus: Jetson should never build by default
cudaPackages.flags: don't build Jetson capabilities by default
cudaPackages: re-introduce filter for pre-existing CUDA redist packages in overrides
cudaPackages: only recurseIntoAttrs for the latest of each major version
cudaPackages.nvccCompatabilities: use GCC 10 through CUDA 11.5 to avoid a GLIBC incompatability
cudaPackages.cutensor: acquire libcublas through cudatoolkit prior to 11.4
cudaPackages.cuda_compat: mark as broken on aarch64-linux if not targeting Jetson
cudaPackages.cutensor_1_4: fix build
cudaPackages: adjust use of autoPatchelfIgnoreMissingDeps
cudaPackages.cuda_nvprof: remove unecessary override to add addOpenGLRunpath
cudaPackages: use getExe' to avoid patchelf warning about missing meta.mainProgram
cudaPackages: fix evaluation with Nix 2.3
cudaPackages: fix platform detection for Jetson/non-Jetson aarch64-linux
python3Packages.tensorrt: mark as broken if required packages are missing
Note: evaluating the name of the derivation will fail if tensorrt is not present,
which is why we wrap the value in `lib.optionalString`.
cudaPackages.flags.getNixSystem: add guard based on jetsonTargets
cudaPackages.cudnn: use explicit path to patchelf
cudaPackages.tensorrt: use explicit path to patchelf
This is useful for the cuda variants of packages like opencv and pytorch,
whose xxxxConfig.cmake files do find_package(CUDAToolkit REQUIRED)
regardless of whether they actually use it. With the propagated hook,
we no longer have to manually add cuda dependencies into torch/opencvs
reverse dependencies
cudaPackages.cuda_nvcc: fix setupCudaHook propagation
We don't need to add the extra nvcc flags to locate cudart when using
cudatoolkit because it comes in the merged layout and nvcc doesn't have
any trouble locating dependencies in the same prefix
...to be displayed on search.nixos.org &c; this is the same notice as
included by conda-forge per agreement with nvidia; cf. comments in
https://github.com/NixOS/nixpkgs/pull/76233
This change which involves creating multiple outputs for CUDA
redistributable packages.
We use a script to find out, ahead of time, the outputs each redist
package provides. From that, we are able to create multiple outputs for
supported redist packages, allowing users to specify exactly which
components they require.
Beyond the script which finds outputs ahead of time, there is some custom
code involved in making this happen. For example, the way Nixpkgs
typically handles multiple outputs involves making `dev` the default
output when available, and adding `out` to `dev`'s
`propagatedBuildInputs`.
Instead, we make each output independent of the others. If a user wants
only to include the headers found in a redist package, they can do so by
choosing the `dev` output. If they want to include dynamic libraries,
they can do so by specifying the `lib` output, or `static` for static
libraries.
To avoid breakages, we continue to provide the `out` output, which
becomes the union of all other outputs, effectively making the split
outputs opt-in.
The `throwIf` expression in CUDNN was evaluated eagerly and essentially prevented the use of cudaPackages without a supported version of CUDNN (even when CUDNN was not requested).
