mirror of
https://github.com/NixOS/nixpkgs.git
synced 2024-11-15 06:14:57 +01:00
151 lines
8.7 KiB
Markdown
151 lines
8.7 KiB
Markdown
# 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` package.
|
|
|
|
To use one or more CUDA packages in an expression, give the expression a `cudaPackages` parameter, and in case CUDA is optional
|
|
```nix
|
|
{ config
|
|
, cudaSupport ? config.cudaSupport
|
|
, 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;
|
|
});
|
|
in callPackage { inherit cudaPackages; };
|
|
}
|
|
```
|
|
|
|
The CUDA NVCC compiler requires flags to determine which hardware you
|
|
want to target for in terms of SASS (real hardware) or PTX (JIT kernels).
|
|
|
|
Nixpkgs tries to target support real architecture defaults based on the
|
|
CUDA toolkit version with PTX support for future hardware. Experienced
|
|
users may optimize this configuration for a variety of reasons such as
|
|
reducing binary size and compile time, supporting legacy hardware, or
|
|
optimizing for specific hardware.
|
|
|
|
You may provide capabilities to add support or reduce binary size through
|
|
`config` using `cudaCapabilities = [ "6.0" "7.0" ];` and
|
|
`cudaForwardCompat = true;` if you want PTX support for future hardware.
|
|
|
|
Please consult [GPUs supported](https://en.wikipedia.org/wiki/CUDA#GPUs_supported)
|
|
for your specific card(s).
|
|
|
|
Library maintainers should consult [NVCC Docs](https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/)
|
|
and release notes for their software package.
|
|
|
|
## Adding a new CUDA release {#adding-a-new-cuda-release}
|
|
|
|
> **WARNING**
|
|
>
|
|
> This section of the docs is still very much in progress. Feedback is welcome in GitHub Issues tagging @NixOS/cuda-maintainers or on [Matrix](https://matrix.to/#/#cuda:nixos.org).
|
|
|
|
The CUDA Toolkit is a suite of CUDA libraries and software meant to provide a development environment for CUDA-accelerated applications. Until the release of CUDA 11.4, NVIDIA had only made the CUDA Toolkit available as a multi-gigabyte runfile installer, which we provide through the [`cudaPackages.cudatoolkit`](https://search.nixos.org/packages?channel=unstable&type=packages&query=cudaPackages.cudatoolkit) attribute. From CUDA 11.4 and onwards, NVIDIA has also provided CUDA redistributables (“CUDA-redist”): individually packaged CUDA Toolkit components meant to facilitate redistribution and inclusion in downstream projects. These packages are available in the [`cudaPackages`](https://search.nixos.org/packages?channel=unstable&type=packages&query=cudaPackages) package set.
|
|
|
|
All new projects should use the CUDA redistributables available in [`cudaPackages`](https://search.nixos.org/packages?channel=unstable&type=packages&query=cudaPackages) in place of [`cudaPackages.cudatoolkit`](https://search.nixos.org/packages?channel=unstable&type=packages&query=cudaPackages.cudatoolkit), as they are much easier to maintain and update.
|
|
|
|
### Updating CUDA redistributables {#updating-cuda-redistributables}
|
|
|
|
1. Go to NVIDIA's index of CUDA redistributables: <https://developer.download.nvidia.com/compute/cuda/redist/>
|
|
2. Make a note of the new version of CUDA available.
|
|
3. Run
|
|
|
|
```bash
|
|
nix run github:connorbaker/cuda-redist-find-features -- \
|
|
download-manifests \
|
|
--log-level DEBUG \
|
|
--version <newest CUDA version> \
|
|
https://developer.download.nvidia.com/compute/cuda/redist \
|
|
./pkgs/development/cuda-modules/cuda/manifests
|
|
```
|
|
|
|
This will download a copy of the manifest for the new version of CUDA.
|
|
4. Run
|
|
|
|
```bash
|
|
nix run github:connorbaker/cuda-redist-find-features -- \
|
|
process-manifests \
|
|
--log-level DEBUG \
|
|
--version <newest CUDA version> \
|
|
https://developer.download.nvidia.com/compute/cuda/redist \
|
|
./pkgs/development/cuda-modules/cuda/manifests
|
|
```
|
|
|
|
This will generate a `redistrib_features_<newest CUDA version>.json` file in the same directory as the manifest.
|
|
5. Update the `cudaVersionMap` attribute set in `pkgs/development/cuda-modules/cuda/extension.nix`.
|
|
|
|
### Updating cuTensor {#updating-cutensor}
|
|
|
|
1. Repeat the steps present in [Updating CUDA redistributables](#updating-cuda-redistributables) with the following changes:
|
|
- Use the index of cuTensor redistributables: <https://developer.download.nvidia.com/compute/cutensor/redist>
|
|
- Use the newest version of cuTensor available instead of the newest version of CUDA.
|
|
- Use `pkgs/development/cuda-modules/cutensor/manifests` instead of `pkgs/development/cuda-modules/cuda/manifests`.
|
|
- Skip the step of updating `cudaVersionMap` in `pkgs/development/cuda-modules/cuda/extension.nix`.
|
|
|
|
### Updating supported compilers and GPUs {#updating-supported-compilers-and-gpus}
|
|
|
|
1. Update `nvcc-compatibilities.nix` in `pkgs/development/cuda-modules/` to include the newest release of NVCC, as well as any newly supported host compilers.
|
|
2. Update `gpus.nix` in `pkgs/development/cuda-modules/` to include any new GPUs supported by the new release of CUDA.
|
|
|
|
### Updating the CUDA Toolkit runfile installer {#updating-the-cuda-toolkit}
|
|
|
|
> **WARNING**
|
|
>
|
|
> While the CUDA Toolkit runfile installer is still available in Nixpkgs as the [`cudaPackages.cudatoolkit`](https://search.nixos.org/packages?channel=unstable&type=packages&query=cudaPackages.cudatoolkit) attribute, its use is not recommended and should it be considered deprecated. Please migrate to the CUDA redistributables provided by the [`cudaPackages`](https://search.nixos.org/packages?channel=unstable&type=packages&query=cudaPackages) package set.
|
|
>
|
|
> To ensure packages relying on the CUDA Toolkit runfile installer continue to build, it will continue to be updated until a migration path is available.
|
|
|
|
1. Go to NVIDIA's CUDA Toolkit runfile installer download page: <https://developer.nvidia.com/cuda-downloads>
|
|
2. Select the appropriate OS, architecture, distribution, and version, and installer type.
|
|
|
|
- For example: Linux, x86_64, Ubuntu, 22.04, runfile (local)
|
|
- NOTE: Typically, we use the Ubuntu runfile. It is unclear if the runfile for other distributions will work.
|
|
|
|
3. Take the link provided by the installer instructions on the webpage after selecting the installer type and get its hash by running:
|
|
|
|
```bash
|
|
nix store prefetch-file --hash-type sha256 <link>
|
|
```
|
|
|
|
4. Update `pkgs/development/cuda-modules/cudatoolkit/releases.nix` to include the release.
|
|
|
|
### Updating the CUDA package set {#updating-the-cuda-package-set}
|
|
|
|
1. Include a new `cudaPackages_<major>_<minor>` package set in `pkgs/top-level/all-packages.nix`.
|
|
|
|
- NOTE: Changing the default CUDA package set should occur in a separate PR, allowing time for additional testing.
|
|
|
|
2. Successfully build the closure of the new package set, updating `pkgs/development/cuda-modules/cuda/overrides.nix` as needed. Below are some common failures:
|
|
|
|
| Unable to ... | During ... | Reason | Solution | Note |
|
|
| --- | --- | --- | --- | --- |
|
|
| Find headers | `configurePhase` or `buildPhase` | Missing dependency on a `dev` output | Add the missing dependency | The `dev` output typically contain the headers |
|
|
| Find libraries | `configurePhase` | Missing dependency on a `dev` output | Add the missing dependency | The `dev` output typically contain CMake configuration files |
|
|
| Find libraries | `buildPhase` or `patchelf` | Missing dependency on a `lib` or `static` output | Add the missing dependency | The `lib` or `static` output typically contain the libraries |
|
|
|
|
In the scenario you are unable to run the resulting binary: this is arguably the most complicated as it could be any combination of the previous reasons. This type of failure typically occurs when a library attempts to load or open a library it depends on that it does not declare in its `DT_NEEDED` section. As a first step, ensure that dependencies are patched with [`autoAddDriverRunpath`](https://search.nixos.org/packages?channel=unstable&type=packages&query=autoAddDriverRunpath). Failing that, try running the application with [`nixGL`](https://github.com/guibou/nixGL) or a similar wrapper tool. If that works, it likely means that the application is attempting to load a library that is not in the `RPATH` or `RUNPATH` of the binary.
|