Allow the macOS GLUT framework to be used automatically in many
cases. Packages that specifically search for freeglut or require its
additional APIs should still explicitly depend on it.
Deliberately skip the Haskell package set, which is mostly
automatically generated, and mupdf, which has its own fork of freeglut.
Unbreaks evaluation after the refactoring in
86c28ee650
(https://github.com/NixOS/nixpkgs/pull/282220).
Explicitly extending nvcc's LIBRARIES may have been redundant (building
something mildly cursed like jaxlib may be necessary to verify)
Previously:
```
❯ NIXPKGS_ALLOW_UNFREE=1 nix-instantiate '.' -A tests.cuda
...
error: necessary to fix CI
❯ nix build -f '.' --arg config '{ allowUnfree = true; }' -L python3Packages.torchWithCuda
...
error: necessary to fix CI
```
Now:
```
❯ NIXPKGS_ALLOW_UNFREE=1 nix-instantiate '.' -A tests.cuda
/nix/store/eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee-cuda-samples-12.2.drv
/nix/store/eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee-saxpy-unstable-2023-07-11.drv
...
```
PR #275947, which was self-merged without approvals, inserted
functionality specific to a propriteary closed-source compiler
(CUDA) into cc-wrapper.
This commit relocates this CUDA-specific functionality into the
appropritate place: `cuda-modules`.
It is unclear to me exactly what this function is supposed to be
doing; much of it (like the `.kind` attributes) do not appear to be
used *anywhere* in nixpkgs. Making sure we don't insert unexplained
deadcode like this is one of the important functions of the review
process.
This makes @ccRoot@ in setupCudaHook redundant when used with
the redist cuda packages. We do not touch setupCudaHook yet,
because we still have to address the deprecated cudaPackages.cudatoolkit
After testing on a Jetson device, it turns out `cuda_compat` requires libnvdla_runtime.so which can't be satisfied by autoPatchElf, as it is provided by the runtime driver. This commit simply adds this library to the list of dependency to be ignored by autoPatchElf.
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
