nixpkgs-suyu/doc/languages-frameworks/cuda.section.md
Frederik Rietdijk 1d63f89caa cudaPackages: overhaul of how we package cuda packages
There are many different versions of the `cudatoolkit` and related
cuda packages, and it can be tricky to ensure they remain compatible.

- `cudaPackages` is now a package set with `cudatoolkit`, `cudnn`, `cutensor`, `nccl`, as well as `cudatoolkit` split into smaller packages ("redist");
- expressions should now use `cudaPackages` as parameter instead of the individual cuda packages;
- `makeScope` is now used, so it is possible to use `.overrideScope'` to set e.g. a different `cudnn` version;
- `release-cuda.nix` is introduced to easily evaluate cuda packages using hydra.
2022-04-09 08:50:22 +02:00

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# CUDA {#cuda}
CUDA-only packages are stored in the `cudaPackages` packages set. This set
includes the `cudatoolkit`, portions of the toolkit in separate derivations,
`cudnn`, `cutensor` and `nccl`.
A package set is available for each CUDA version, so for example
`cudaPackages_11_6`. Within each set is a matching version of the above listed
packages. Additionally, other versions of the packages that are packaged and
compatible are available as well. For example, there can be a
`cudaPackages.cudnn_8_3_2` package.
To use one or more CUDA packages in an expression, give the expression a `cudaPackages` parameter, and in case CUDA is optional
```nix
cudaSupport ? false
cudaPackages ? {}
```
When using `callPackage`, you can choose to pass in a different variant, e.g.
when a different version of the toolkit suffices
```nix
mypkg = callPackage { cudaPackages = cudaPackages_11_5; }
```
If another version of say `cudnn` or `cutensor` is needed, you can override the
package set to make it the default. This guarantees you get a consistent package
set.
```nix
mypkg = let
cudaPackages = cudaPackages_11_5.overrideScope' (final: prev {
cudnn = prev.cudnn_8_3_2;
}});
in callPackage { inherit cudaPackages; };
```