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cudaPackages: overhaul of how we package cuda packages

Browse Source 
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.
This commit is contained in:
Frederik Rietdijk 2022-04-03 11:19:04 +02:00 committed by Frederik Rietdijk
parent 934190fa06
commit 1d63f89caa
50 changed files with 3350 additions and 521 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

34
doc/languages-frameworks/cuda.section.md Normal file
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@ -0,0 +1,34 @@
# 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; };
```

1
doc/languages-frameworks/index.xml
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@ -11,6 +11,7 @@
<xi:include href="bower.section.xml" />
<xi:include href="coq.section.xml" />
<xi:include href="crystal.section.xml" />
<xi:include href="cuda.section.xml" />
<xi:include href="dhall.section.xml" />
<xi:include href="dotnet.section.xml" />
<xi:include href="emscripten.section.xml" />

2
nixos/modules/services/misc/ethminer.nix
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@ -85,7 +85,7 @@ in
config = mkIf cfg.enable {
systemd.services.ethminer = {
path = optional (cfg.toolkit == "cuda") [ pkgs.cudatoolkit ];
path = optional (cfg.toolkit == "cuda") [ pkgs.cudaPackages.cudatoolkit ];
description = "ethminer ethereum mining service";
wantedBy = [ "multi-user.target" ];
after = [ "network.target" ];

4
pkgs/applications/misc/blender/default.nix
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@ -5,7 +5,7 @@
, openvdb, libXxf86vm, tbb, alembic
, zlib, zstd, fftw, opensubdiv, freetype, jemalloc, ocl-icd, addOpenGLRunpath
, jackaudioSupport ? false, libjack2
, cudaSupport ? config.cudaSupport or false, cudatoolkit_11
, cudaSupport ? config.cudaSupport or false, cudaPackages ? {}
, colladaSupport ? true, opencollada
, spaceNavSupport ? stdenv.isLinux, libspnav
, makeWrapper
@ -63,7 +63,7 @@ stdenv.mkDerivation rec {
llvmPackages.openmp SDL Cocoa CoreGraphics ForceFeedback OpenAL OpenGL
])
++ optional jackaudioSupport libjack2
++ optional cudaSupport cudatoolkit_11
++ optional cudaSupport cudaPackages.cudatoolkit
++ optional colladaSupport opencollada
++ optional spaceNavSupport libspnav;
pythonPath = with python310Packages; [ numpy requests ];

4
pkgs/applications/misc/firestarter/default.nix
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@ -8,11 +8,13 @@
, glibc
, git
, pkg-config
, cudatoolkit
, cudaPackages ? {}
, withCuda ? false
}:
let
inherit (cudaPackages) cudatoolkit;
hwloc = stdenv.mkDerivation rec {
pname = "hwloc";
version = "2.2.0";

10
pkgs/applications/science/math/caffe/default.nix
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@ -13,13 +13,17 @@
, Accelerate, CoreGraphics, CoreVideo
, lmdbSupport ? true, lmdb
, leveldbSupport ? true, leveldb, snappy
, cudaSupport ? config.cudaSupport or false, cudatoolkit
, cudnnSupport ? cudaSupport, cudnn ? null
, ncclSupport ? false, nccl ? null
, cudaSupport ? config.cudaSupport or false, cudaPackages ? {}
, cudnnSupport ? cudaSupport
, ncclSupport ? false
, pythonSupport ? false, python ? null, numpy ? null
, substituteAll
}:
let
inherit (cudaPackages) cudatoolkit cudnn nccl;
in
assert leveldbSupport -> (leveldb != null && snappy != null);
assert cudnnSupport -> cudaSupport;
assert ncclSupport -> cudaSupport;

8
pkgs/applications/science/math/cntk/default.nix
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@ -2,10 +2,14 @@
, fetchpatch
, openblas, blas, lapack, opencv3, libzip, boost, protobuf, mpi
, onebitSGDSupport ? false
, cudaSupport ? false, addOpenGLRunpath, cudatoolkit, nvidia_x11
, cudnnSupport ? cudaSupport, cudnn
, cudaSupport ? false, cudaPackages ? {}, addOpenGLRunpath, cudatoolkit, nvidia_x11
, cudnnSupport ? cudaSupport
}:
let
inherit (cudaPackages) cudatoolkit cudnn;
in
assert cudnnSupport -> cudaSupport;
assert blas.implementation == "openblas" && lapack.implementation == "openblas";

8
pkgs/applications/science/math/mxnet/default.nix
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@ -1,10 +1,14 @@
{ config, stdenv, lib, fetchurl, fetchpatch, bash, cmake
, opencv3, gtest, blas, gomp, llvmPackages, perl
, cudaSupport ? config.cudaSupport or false, cudatoolkit, nvidia_x11
, cudnnSupport ? cudaSupport, cudnn
, cudaSupport ? config.cudaSupport or false, cudaPackages ? {}, nvidia_x11
, cudnnSupport ? cudaSupport
, cudaCapabilities ? [ "3.7" "5.0" "6.0" "7.0" "7.5" "8.0" "8.6" ]
}:
let
inherit (cudaPackages) cudatoolkit cudnn;
in
assert cudnnSupport -> cudaSupport;
stdenv.mkDerivation rec {

14
pkgs/development/compilers/cudatoolkit/auto-add-opengl-runpath-hook.sh Normal file
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@ -0,0 +1,14 @@
# Run autoOpenGLRunpath on all files
echo "Sourcing auto-add-opengl-runpath-hook"
autoAddOpenGLRunpathPhase () {
# TODO: support multiple outputs
for file in $(find ${out,lib,bin} -type f); do
addOpenGLRunpath $file
done
}
if [ -z "${dontUseAutoAddOpenGLRunpath-}" ]; then
echo "Using autoAddOpenGLRunpathPhase"
postFixupHooks+=(autoAddOpenGLRunpathPhase)
fi

1
pkgs/development/compilers/cudatoolkit/common.nix
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@ -254,6 +254,7 @@ stdenv.mkDerivation rec {
'';
passthru = {
cc = gcc;
majorMinorVersion = lib.versions.majorMinor version;
majorVersion = lib.versions.majorMinor version;
};

94
pkgs/development/compilers/cudatoolkit/default.nix
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@ -1,94 +0,0 @@
{ callPackage
, fetchurl
, gcc7
, gcc9
, gcc10
, lib
}:
let
common = callPackage ./common.nix;
in
rec {
cudatoolkit_10_0 = common {
version = "10.0.130";
url = "https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux";
sha256 = "16p3bv1lwmyqpxil8r951h385sy9asc578afrc7lssa68c71ydcj";
gcc = gcc7;
};
cudatoolkit_10_1 = common {
version = "10.1.243";
url = "https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run";
sha256 = "0caxhlv2bdq863dfp6wj7nad66ml81vasq2ayf11psvq2b12vhp7";
gcc = gcc7;
};
cudatoolkit_10_2 = common {
version = "10.2.89";
url = "http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run";
sha256 = "04fasl9sjkb1jvchvqgaqxprnprcz7a8r52249zp2ijarzyhf3an";
gcc = gcc7;
};
cudatoolkit_10 = cudatoolkit_10_2;
cudatoolkit_11_0 = common {
version = "11.0.3";
url = "https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda_11.0.3_450.51.06_linux.run";
sha256 = "1h4c69nfrgm09jzv8xjnjcvpq8n4gnlii17v3wzqry5d13jc8ydh";
gcc = gcc9;
};
cudatoolkit_11_1 = common {
version = "11.1.1";
url = "https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run";
sha256 = "13yxv2fgvdnqqbwh1zb80x4xhyfkbajfkwyfpdg9493010kngbiy";
gcc = gcc9;
};
cudatoolkit_11_2 = common {
version = "11.2.1";
url = "https://developer.download.nvidia.com/compute/cuda/11.2.1/local_installers/cuda_11.2.1_460.32.03_linux.run";
sha256 = "sha256-HamMuJfMX1inRFpKZspPaSaGdwbLOvWKZpzc2Nw9F8g=";
gcc = gcc9;
};
cudatoolkit_11_3 = common {
version = "11.3.1";
url = "https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run";
sha256 = "0d19pwcqin76scbw1s5kgj8n0z1p4v1hyfldqmamilyfxycfm4xd";
gcc = gcc9;
};
cudatoolkit_11_4 = common {
version = "11.4.2";
url = "https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/cuda_11.4.2_470.57.02_linux.run";
sha256 = "sha256-u9h8oOkT+DdFSnljZ0c1E83e9VUILk2G7Zo4ZZzIHwo=";
gcc = gcc10; # can bump to 11 along with stdenv.cc
};
cudatoolkit_11_5 = common {
version = "11.5.0";
url = "https://developer.download.nvidia.com/compute/cuda/11.5.0/local_installers/cuda_11.5.0_495.29.05_linux.run";
sha256 = "sha256-rgoWk9lJfPPYHmlIlD43lGNpANtxyY1Y7v2sr38aHkw=";
gcc = gcc10; # can bump to 11 along with stdenv.cc
};
cudatoolkit_11_6 = common {
version = "11.6.1";
url = "https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run";
sha256 = "sha256-qyGa/OALdCABEyaYZvv/derQN7z8I1UagzjCaEyYTX4=";
gcc = gcc10; # can bump to 11 along with stdenv.cc
};
# Make sure to only ever update this to a version that is compatible with the
# latest cudnn, nccl, cutensor, etc! It sometimes happens that CUDA versions
# are released prior to compatibility with the rest of the ecosystem. And
# don't forget to request a review from @NixOS/cuda-maintainers!
cudatoolkit_11 = cudatoolkit_11_5; # update me to 11_6 when cudnn>=8.3.3
}

15
pkgs/development/compilers/cudatoolkit/extension.nix Normal file
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@ -0,0 +1,15 @@
final: prev: let
### Cuda Toolkit
# Function to build the class cudatoolkit package
buildCudaToolkitPackage = final.callPackage ./common.nix;
# Version info for the classic cudatoolkit packages that contain everything that is in redist.
cudatoolkitVersions = final.lib.importTOML ./versions.toml;
### Add classic cudatoolkit package
cudatoolkit = buildCudaToolkitPackage ((attrs: attrs // { gcc = prev.pkgs.${attrs.gcc}; }) cudatoolkitVersions.${final.cudaVersion});
in {
inherit cudatoolkit;
}

51
pkgs/development/compilers/cudatoolkit/redist/build-cuda-redist-package.nix Normal file
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@ -0,0 +1,51 @@
{ lib
, stdenv
, fetchurl
, autoPatchelfHook
, autoAddOpenGLRunpathHook
}:
pname:
attrs:
let
arch = "linux-x86_64";
in stdenv.mkDerivation {
inherit pname;
inherit (attrs) version;
src = assert (lib.hasAttr arch attrs); fetchurl {
url = "https://developer.download.nvidia.com/compute/cuda/redist/${attrs.${arch}.relative_path}";
inherit (attrs.${arch}) sha256;
};
nativeBuildInputs = [
autoPatchelfHook
# This hook will make sure libcuda can be found
# in typically /lib/opengl-driver by adding that
# directory to the rpath of all ELF binaries.
# Check e.g. with `patchelf --print-rpath path/to/my/binary
autoAddOpenGLRunpathHook
];
buildInputs = [
stdenv.cc.cc.lib
];
dontBuild = true;
# TODO: choose whether to install static/dynamic libs
installPhase = ''
runHook preInstall
rm LICENSE
mkdir -p $out
mv * $out
runHook postInstall
'';
meta = {
description = attrs.name;
license = lib.licenses.unfree;
platforms = lib.optionals (lib.hasAttr arch attrs) [ "x86_64-linux" ];
};
}

32
pkgs/development/compilers/cudatoolkit/redist/extension.nix Normal file
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@ -0,0 +1,32 @@
final: prev: let
inherit (final) callPackage;
inherit (prev) cudaVersion lib pkgs;
### Cuda Toolkit Redist
# Manifest files for redist cudatoolkit. These can be found at
# https://developer.download.nvidia.com/compute/cuda/redist/
cudaToolkitRedistManifests = {
"11.4" = ./manifests/redistrib_11.4.4.json;
"11.5" = ./manifests/redistrib_11.5.2.json;
"11.6" = ./manifests/redistrib_11.6.2.json;
};
# Function to build a single cudatoolkit redist package
buildCudaToolkitRedistPackage = callPackage ./build-cuda-redist-package.nix { };
# Function that builds all cudatoolkit redist packages given a cuda version and manifest file
buildCudaToolkitRedistPackages = { version, manifest }: let
attrs = lib.filterAttrs (key: value: key != "release_date") (lib.importJSON manifest);
in lib.mapAttrs buildCudaToolkitRedistPackage attrs;
redistExists = cudaToolkitRedistManifests ? "${cudaVersion}";
# All cudatoolkit redist packages for the current cuda version
cudaToolkitRedistPackages = if
lib.hasAttr cudaVersion cudaToolkitRedistManifests
then buildCudaToolkitRedistPackages { version = cudaVersion; manifest = cudaToolkitRedistManifests.${cudaVersion}; }
else {};
in cudaToolkitRedistPackages

862
pkgs/development/compilers/cudatoolkit/redist/manifests/redistrib_11.4.4.json Normal file
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@ -0,0 +1,862 @@
{
"release_date": "2022-02-01",
"cuda_cccl": {
"name": "CXX Core Compute Libraries",
"license": "CUDA Toolkit",
"version": "11.4.122",
"linux-x86_64": {
"relative_path": "cuda_cccl/linux-x86_64/cuda_cccl-linux-x86_64-11.4.122-archive.tar.xz",
"sha256": "150b163bde4975154d6238ae1272c74df81b303dccca1f7637bd91027b65afc5",
"md5": "e0e41040716a4d6113410d7cb25c7906",
"size": "951832"
},
"linux-ppc64le": {
"relative_path": "cuda_cccl/linux-ppc64le/cuda_cccl-linux-ppc64le-11.4.122-archive.tar.xz",
"sha256": "0d1d729ac3f52bdd04f197a6cef295b3463c4975d70dbd97f4e1b08a4857f488",
"md5": "f615eccb3b8d694f4c7aa864c93959d7",
"size": "951780"
},
"linux-sbsa": {
"relative_path": "cuda_cccl/linux-sbsa/cuda_cccl-linux-sbsa-11.4.122-archive.tar.xz",
"sha256": "98f495b99c68fae54fe728e72aa3b8e2e5b1d77c9fd4946370cec3b063a7fcf3",
"md5": "28692dd487b5936dbfac70ac56b65561",
"size": "951340"
},
"windows-x86_64": {
"relative_path": "cuda_cccl/windows-x86_64/cuda_cccl-windows-x86_64-11.4.122-archive.zip",
"sha256": "d721c4bcc5bf8054eb944b7c3203ce5f593523f798559f3f4c1effdd8ed36f48",
"md5": "fa6bbf1291ebdd8f63f4f5176be4ae9c",
"size": "2422426"
}
},
"cuda_cudart": {
"name": "CUDA Runtime (cudart)",
"license": "CUDA Toolkit",
"version": "11.4.148",
"linux-x86_64": {
"relative_path": "cuda_cudart/linux-x86_64/cuda_cudart-linux-x86_64-11.4.148-archive.tar.xz",
"sha256": "36bd6f1ea8711f69405ebd0b26d1f791a6ef6eb01cc3f01ba4231eb8ec09c208",
"md5": "b98036aa5e633eb19b7ef2e32e8811a7",
"size": "828732"
},
"linux-ppc64le": {
"relative_path": "cuda_cudart/linux-ppc64le/cuda_cudart-linux-ppc64le-11.4.148-archive.tar.xz",
"sha256": "fb70c6477dce2cfc3ee13d361b76453ad92671be36f98fab50e2510f657eb00e",
"md5": "594855b91ad5e9aa674d3a93d741431e",
"size": "777952"
},
"linux-sbsa": {
"relative_path": "cuda_cudart/linux-sbsa/cuda_cudart-linux-sbsa-11.4.148-archive.tar.xz",
"sha256": "d013448f76c22614e458de94b5289807d2d0934b3a5deb073b621401a222c16f",
"md5": "2bcac7ef368ebeb804e33c4c7920ff78",
"size": "783344"
},
"windows-x86_64": {
"relative_path": "cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-11.4.148-archive.zip",
"sha256": "e889e38929a95845409ed7dcdb0e6189343af5d17442a3b8c9f2ba297f0d262e",
"md5": "c2fcccb16eec0cf4ed5807fcba2bd745",
"size": "2898471"
}
},
"cuda_cuobjdump": {
"name": "cuobjdump",
"license": "CUDA Toolkit",
"version": "11.4.120",
"linux-x86_64": {
"relative_path": "cuda_cuobjdump/linux-x86_64/cuda_cuobjdump-linux-x86_64-11.4.120-archive.tar.xz",
"sha256": "dd9d51ca6d1772545ba77640f74bd1162ea4ffe223e17c8faa6e0a11ec9b5e2a",
"md5": "0a28c3ee87dbe294afc73b90ff0c8101",
"size": "110008"
},
"linux-ppc64le": {
"relative_path": "cuda_cuobjdump/linux-ppc64le/cuda_cuobjdump-linux-ppc64le-11.4.120-archive.tar.xz",
"sha256": "3f5013ecd3ad3ef1f90f981189826ae9e5aadb7549a99e834c0f6d77c897a7ff",
"md5": "56cabd1ef862f62c10a6fc9e47186797",
"size": "115060"
},
"linux-sbsa": {
"relative_path": "cuda_cuobjdump/linux-sbsa/cuda_cuobjdump-linux-sbsa-11.4.120-archive.tar.xz",
"sha256": "7f5c5e38780d9d44084f05ae091be1ad8672f370a6da17cc3f0a9a55e998163a",
"md5": "5df0f75608960c20f5c2b3b11cb9a2d3",
"size": "99752"
},
"windows-x86_64": {
"relative_path": "cuda_cuobjdump/windows-x86_64/cuda_cuobjdump-windows-x86_64-11.4.120-archive.zip",
"sha256": "e371440535fae634c625a5dd02d18cd4accd11b9166703f9d5a95f7b721f09b0",
"md5": "2d8a519c9ebe674a624b3b4cbfe91be3",
"size": "2535529"
}
},
"cuda_cupti": {
"name": "CUPTI",
"license": "CUDA Toolkit",
"version": "11.4.120",
"linux-x86_64": {
"relative_path": "cuda_cupti/linux-x86_64/cuda_cupti-linux-x86_64-11.4.120-archive.tar.xz",
"sha256": "e589bd0955dc59cf7871dad3446e583316623dd899b67c34b808fbe14cde0209",
"md5": "e80232b5629d4c26376411f28ec41b05",
"size": "15499004"
},
"linux-ppc64le": {
"relative_path": "cuda_cupti/linux-ppc64le/cuda_cupti-linux-ppc64le-11.4.120-archive.tar.xz",
"sha256": "24687d171f15101109dc428bd2236889bda617377b2a29bdfc0173095bcf28a8",
"md5": "8a0aef6d201a0bb79af677d3aba9c790",
"size": "8092764"
},
"linux-sbsa": {
"relative_path": "cuda_cupti/linux-sbsa/cuda_cupti-linux-sbsa-11.4.120-archive.tar.xz",
"sha256": "d66367c166d27ddd6d7ed07f7a492dfed77b6eae505a7037a29537ce3e15eeb3",
"md5": "81b11a7aac656df569ba5ab909d114c7",
"size": "7301688"
},
"windows-x86_64": {
"relative_path": "cuda_cupti/windows-x86_64/cuda_cupti-windows-x86_64-11.4.120-archive.zip",
"sha256": "74545a99d9a35c53790003006b29b9af5ca52b48f8703fdbc003665b42f5ec39",
"md5": "745b2b131e2f421e65c7792547792b12",
"size": "10080557"
}
},
"cuda_cuxxfilt": {
"name": "CUDA cuxxfilt (demangler)",
"license": "CUDA Toolkit",
"version": "11.4.120",
"linux-x86_64": {
"relative_path": "cuda_cuxxfilt/linux-x86_64/cuda_cuxxfilt-linux-x86_64-11.4.120-archive.tar.xz",
"sha256": "8dc88e398f976d20540e7c7b4f004f158b12cd9edf59a9ab988abbacc3e1452c",
"md5": "2bc240881b64f762b053a6284a2f3c04",
"size": "176072"
},
"linux-ppc64le": {
"relative_path": "cuda_cuxxfilt/linux-ppc64le/cuda_cuxxfilt-linux-ppc64le-11.4.120-archive.tar.xz",
"sha256": "943e23feafe86b9b83441a51ada152b110031f7891dfa531d2ef85657360f70e",
"md5": "eed7b9a4008d6d18a2cc3d1630169fb9",
"size": "172424"
},
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"sha256": "badbe50dab52403cd152c907c9be7271a25c7e0b2bf7377a1cee13bd63f6c008",
"md5": "7c7fa8c7ca5d129b2f7d775cb4ac96a1",
"size": "1864404"
},
"windows-x86_64": {
"relative_path": "libnvjpeg/windows-x86_64/libnvjpeg-windows-x86_64-11.6.2.124-archive.zip",
"sha256": "9a04433b80bb5374c0dcf21e1988a66d6d61009dd431668e5ef412baf1167796",
"md5": "99d01192cc9c040b7d2a54ae2b7ea2a3",
"size": "2050577"
}
},
"nsight_compute": {
"name": "Nsight Compute",
"license": "NVIDIA SLA",
"version": "2022.1.1.2",
"linux-x86_64": {
"relative_path": "nsight_compute/linux-x86_64/nsight_compute-linux-x86_64-2022.1.1.2-archive.tar.xz",
"sha256": "ce3248dc64ec05ad1eb174c7114dda02e3023a4ee9adfe457b662289e3134140",
"md5": "c1d851ebf7528107555861b4fbc83948",
"size": "410930844"
},
"linux-ppc64le": {
"relative_path": "nsight_compute/linux-ppc64le/nsight_compute-linux-ppc64le-2022.1.1.2-archive.tar.xz",
"sha256": "84c9fdad8865c2c3f505ee781f95b546a8ce5ef712cb43fc856c0c62be9bab24",
"md5": "4e0660c401e2861bd3a5fa81a44c6fbf",
"size": "123752204"
},
"linux-sbsa": {
"relative_path": "nsight_compute/linux-sbsa/nsight_compute-linux-sbsa-2022.1.1.2-archive.tar.xz",
"sha256": "5016436938039b284d422a27a954e7483cc15a5d33c512525c2ded860c062747",
"md5": "241420674893c0dd375847ece4fa4abc",
"size": "121981328"
},
"windows-x86_64": {
"relative_path": "nsight_compute/windows-x86_64/nsight_compute-windows-x86_64-2022.1.1.2-archive.zip",
"sha256": "4f709728da79048cc50c6079a5f5dd3b7e35c363163484e7f89f8a2595b8d633",
"md5": "27cdc4affc4d3227905901ae5895e0b4",
"size": "348353793"
}
},
"nsight_nvtx": {
"name": "Nsight NVTX",
"license": "CUDA Toolkit",
"version": "1.21018621",
"windows-x86_64": {
"relative_path": "nsight_nvtx/windows-x86_64/nsight_nvtx-windows-x86_64-1.21018621-archive.zip",
"sha256": "d99b015bfb1308206f9d7c16ea401bf426fed3a5a99953b855fe4e68be5ed2d1",
"md5": "34ee04d45cfca1c4e3cbfba0ec8f6f80",
"size": "315692"
}
},
"nsight_systems": {
"name": "Nsight Systems",
"license": "NVIDIA SLA",
"version": "2021.5.2.53",
"linux-x86_64": {
"relative_path": "nsight_systems/linux-x86_64/nsight_systems-linux-x86_64-2021.5.2.53-archive.tar.xz",
"sha256": "27b8c6a171efc5b815035f7e9c9229bdc2c239c1da1956df687f80f78c03c70c",
"md5": "20dcf79c9b387fcc66956182d56fa7ef",
"size": "161956304"
},
"linux-ppc64le": {
"relative_path": "nsight_systems/linux-ppc64le/nsight_systems-linux-ppc64le-2021.5.2.53-archive.tar.xz",
"sha256": "7c76f0b6e35add162be0a55cb8b673960e2d6e9907875379fd70345c6fbb05d4",
"md5": "5bc90d4adc83492fc65191c9a1e33d41",
"size": "47184992"
},
"linux-sbsa": {
"relative_path": "nsight_systems/linux-sbsa/nsight_systems-linux-sbsa-2021.5.2.53-archive.tar.xz",
"sha256": "22bd8ec797d2734b701e5bf62ec095d82687a3eb5daf01a7657cd1aab896fc6d",
"md5": "1a4e2b8212f8cef37d16c23c9440f680",
"size": "47348636"
},
"windows-x86_64": {
"relative_path": "nsight_systems/windows-x86_64/nsight_systems-windows-x86_64-2021.5.2.53-archive.zip",
"sha256": "6cd2caa431d703f1c54eb65cba2508c150ae115c0b20a58f6c96839bcbc23406",
"md5": "07582800aee2a476463f866aa25f8a0a",
"size": "304567470"
}
},
"nsight_vse": {
"name": "Nsight Visual Studio Edition (VSE)",
"license": "NVIDIA SLA",
"version": "2022.1.1.22006",
"windows-x86_64": {
"relative_path": "nsight_vse/windows-x86_64/nsight_vse-windows-x86_64-2022.1.1.22006-archive.zip",
"sha256": "92c0a591401e085a2ade6688866fa93fb1562d98e4d8321a252b1143e364192a",
"md5": "67304f264ab92d5ac6706fb0bf3f6eac",
"size": "455973381"
}
},
"nvidia_driver": {
"name": "NVIDIA Linux Driver",
"license": "NVIDIA Driver",
"version": "510.47.03",
"linux-x86_64": {
"relative_path": "nvidia_driver/linux-x86_64/nvidia_driver-linux-x86_64-510.47.03-archive.tar.xz",
"sha256": "668a653cb4e9b89279a31c2fac23306c80b8f2b4b27b4e066cfe322d9347e1b7",
"md5": "b9a80476a86e6186645c37b7a9a7791a",
"size": "327247384"
},
"linux-ppc64le": {
"relative_path": "nvidia_driver/linux-ppc64le/nvidia_driver-linux-ppc64le-510.47.03-archive.tar.xz",
"sha256": "28c278660d10ba63420990e164aafd866a9907a66323db9570ad1a9ada37ae0f",
"md5": "0a3f82d50ea4ac361eb2def1d763947f",
"size": "73666716"
},
"linux-sbsa": {
"relative_path": "nvidia_driver/linux-sbsa/nvidia_driver-linux-sbsa-510.47.03-archive.tar.xz",
"sha256": "1f2e0b90621f67477d5bfcd8ff28b01eca9cdb79a2ba911b07671953e44618ad",
"md5": "d555c62d414121623b4906ecb3de06e8",
"size": "211721052"
}
},
"nvidia_fs": {
"name": "NVIDIA filesystem",
"license": "CUDA Toolkit",
"version": "2.11.0",
"linux-x86_64": {
"relative_path": "nvidia_fs/linux-x86_64/nvidia_fs-linux-x86_64-2.11.0-archive.tar.xz",
"sha256": "ea260e5e8c9df3d4f1448684350a0fa7931dd45918329bda96378b173ea63b24",
"md5": "676b88c768132bd4775c91291af90b55",
"size": "69588"
}
},
"visual_studio_integration": {
"name": "CUDA Visual Studio Integration",
"license": "CUDA Toolkit",
"version": "11.6.124",
"windows-x86_64": {
"relative_path": "visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-11.6.124-archive.zip",
"sha256": "0a8e288bb604dc2af766f65042aeb4675a7b15629e71c7c3341d0fd8aab2de91",
"md5": "248f627cccca3ee81c561aaea5193271",
"size": "517139"
}
}
}

72
pkgs/development/compilers/cudatoolkit/redist/overrides.nix Normal file
View File

@ -0,0 +1,72 @@
final: prev: let
inherit (prev) lib pkgs;
in (lib.filterAttrs (attr: _: (prev ? "${attr}")) {
### Overrides to fix the components of cudatoolkit-redist
# Attributes that don't exist in the previous set are removed.
# That means only overrides can go here, and not new expressions!
libcufile = prev.libcufile.overrideAttrs (oldAttrs: {
buildInputs = oldAttrs.buildInputs ++ [
prev.libcublas
pkgs.numactl
pkgs.rdma-core
];
# libcuda needs to be resolved during runtime
autoPatchelfIgnoreMissingDeps = true;
});
libcusolver = final.addBuildInputs prev.libcusolver [
prev.libcublas
];
cuda_nvprof = prev.cuda_nvprof.overrideAttrs (oldAttrs: {
nativeBuildInputs = oldAttrs.nativeBuildInputs ++ [ pkgs.addOpenGLRunpath ];
buildInputs = oldAttrs.buildInputs ++ [ prev.cuda_cupti ];
# libcuda needs to be resolved during runtime
autoPatchelfIgnoreMissingDeps = true;
});
cuda_demo_suite = final.addBuildInputs prev.cuda_demo_suite [
pkgs.freeglut
pkgs.libGLU
pkgs.libglvnd
pkgs.mesa
prev.libcufft
prev.libcurand
];
nsight_compute = prev.nsight_compute.overrideAttrs (oldAttrs: {
nativeBuildInputs = oldAttrs.nativeBuildInputs ++ [ pkgs.qt5.wrapQtAppsHook ];
buildInputs = oldAttrs.buildInputs ++ [ pkgs.libsForQt5.qt5.qtwebview ];
});
nsight_systems = prev.nsight_systems.overrideAttrs (oldAttrs: {
nativeBuildInputs = oldAttrs.nativeBuildInputs ++ [
pkgs.addOpenGLRunpath
pkgs.qt5.wrapQtAppsHook
];
buildInputs = oldAttrs.buildInputs ++ [
pkgs.alsa-lib
pkgs.e2fsprogs
pkgs.nss
pkgs.numactl
pkgs.pulseaudio
pkgs.wayland
pkgs.xorg.libXcursor
pkgs.xorg.libXdamage
pkgs.xorg.libXrandr
pkgs.xorg.libXtst
];
# libcuda needs to be resolved during runtime
autoPatchelfIgnoreMissingDeps = true;
});
nvidia_driver = prev.nvidia_driver.overrideAttrs (oldAttrs: {
# libcuda needs to be resolved during runtime
autoPatchelfIgnoreMissingDeps = true;
# No need to support this package as we have drivers already
# in linuxPackages.
meta.broken = true;
});
})

59
pkgs/development/compilers/cudatoolkit/versions.toml Normal file
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@ -0,0 +1,59 @@
["10.0"]
version = "10.0.130"
url = "https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux"
sha256 = "16p3bv1lwmyqpxil8r951h385sy9asc578afrc7lssa68c71ydcj"
gcc = "gcc7"
["10.1"]
version = "10.1.243"
url = "https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run"
sha256 = "0caxhlv2bdq863dfp6wj7nad66ml81vasq2ayf11psvq2b12vhp7"
gcc = "gcc7"
["10.2"]
version = "10.2.89"
url = "http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run"
sha256 = "04fasl9sjkb1jvchvqgaqxprnprcz7a8r52249zp2ijarzyhf3an"
gcc = "gcc7"
["11.0"]
version = "11.0.3"
url = "https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda_11.0.3_450.51.06_linux.run"
sha256 = "1h4c69nfrgm09jzv8xjnjcvpq8n4gnlii17v3wzqry5d13jc8ydh"
gcc = "gcc9"
["11.1"]
version = "11.1.1"
url = "https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run"
sha256 = "13yxv2fgvdnqqbwh1zb80x4xhyfkbajfkwyfpdg9493010kngbiy"
gcc = "gcc9"
["11.2"]
version = "11.2.1"
url = "https://developer.download.nvidia.com/compute/cuda/11.2.1/local_installers/cuda_11.2.1_460.32.03_linux.run"
sha256 = "sha256-HamMuJfMX1inRFpKZspPaSaGdwbLOvWKZpzc2Nw9F8g="
gcc = "gcc9"
["11.3"]
version = "11.3.1"
url = "https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run"
sha256 = "0d19pwcqin76scbw1s5kgj8n0z1p4v1hyfldqmamilyfxycfm4xd"
gcc = "gcc9"
["11.4"]
version = "11.4.2"
url = "https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/cuda_11.4.2_470.57.02_linux.run"
sha256 = "sha256-u9h8oOkT+DdFSnljZ0c1E83e9VUILk2G7Zo4ZZzIHwo="
gcc = "gcc10" # can bump to 11 along with stdenv.cc
["11.5"]
version = "11.5.0"
url = "https://developer.download.nvidia.com/compute/cuda/11.5.0/local_installers/cuda_11.5.0_495.29.05_linux.run"
sha256 = "sha256-rgoWk9lJfPPYHmlIlD43lGNpANtxyY1Y7v2sr38aHkw="
gcc = "gcc10" # can bump to 11 along with stdenv.cc
["11.6"]
version = "11.6.1"
url = "https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run"
sha256 = "sha256-qyGa/OALdCABEyaYZvv/derQN7z8I1UagzjCaEyYTX4="
gcc = "gcc10" # can bump to 11 along with stdenv.cc

6
pkgs/development/libraries/librealsense/default.nix
View File

@ -8,11 +8,11 @@
, ninja
, pkg-config
, gcc
, cudaSupport ? config.cudaSupport or false, cudatoolkit
, cudaSupport ? config.cudaSupport or false, cudaPackages ? {}
, enablePython ? false, pythonPackages ? null
}:
assert cudaSupport -> cudatoolkit != null;
assert cudaSupport -> (cudaPackages?cudatoolkit && cudaPackages.cudatoolkit != null);
assert enablePython -> pythonPackages != null;
stdenv.mkDerivation rec {
@ -31,7 +31,7 @@ stdenv.mkDerivation rec {
buildInputs = [
libusb1
gcc.cc.lib
] ++ lib.optional cudaSupport cudatoolkit
] ++ lib.optional cudaSupport cudaPackages.cudatoolkit
++ lib.optionals enablePython (with pythonPackages; [python pybind11 ]);
patches = [

8
pkgs/development/libraries/science/math/caffe2/default.nix
View File

@ -5,8 +5,8 @@
, python, future, six, python-protobuf, numpy, pydot
, eigen
, doxygen
, useCuda ? (config.cudaSupport or false), cudatoolkit ? null
, useCudnn ? (config.cudnnSupport or false), cudnn ? null
, useCuda ? (config.cudaSupport or false), cudaPackages ? {}
, useCudnn ? (config.cudnnSupport or false)
, useOpenmp ? false, openmp ? null
, useOpencv3 ? true, opencv3 ? null
, useLeveldb ? false, leveldb ? null
@ -20,6 +20,10 @@
#, useNnpack ? false
}:
let
inherit (cudaPackages) cudatoolkit cudnn;
in
assert useCuda -> cudatoolkit != null;
assert useCudnn -> (useCuda && cudnn != null);
assert useOpencv3 -> opencv3 != null;

114
pkgs/development/libraries/science/math/cudnn/default.nix
View File

@ -1,114 +0,0 @@
# The following version combinations are supported:
# * cuDNN 7.4.2, cudatoolkit 10.0
# * cuDNN 7.6.5, cudatoolkit 10.0-10.1
# * cuDNN 8.1.1, cudatoolkit 10.2-11.2
# * cuDNN 8.3.2, cudatoolkit 10.2-11.5
{ callPackage
, cudatoolkit_10
, cudatoolkit_10_0
, cudatoolkit_10_1
, cudatoolkit_10_2
, cudatoolkit_11
, cudatoolkit_11_0
, cudatoolkit_11_1
, cudatoolkit_11_2
, cudatoolkit_11_3
, cudatoolkit_11_4
, cudatoolkit_11_5
, fetchurl
, lib
}:
let
generic = args: callPackage (import ./generic.nix (removeAttrs args [ "cudatoolkit" ])) {
inherit (args) cudatoolkit;
};
urlPrefix = "https://developer.download.nvidia.com/compute/redist/cudnn";
in
rec {
# cuDNN 7.x
# Still used by libtensorflow-bin. It should be upgraded at some point.
cudnn_7_4_cudatoolkit_10_0 = generic rec {
version = "7.4.2";
cudatoolkit = cudatoolkit_10_0;
# See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn_742/cudnn-support-matrix/index.html#cudnn-cuda-hardware-versions__table-cudnn-cuda-hardware-versions.
minCudaVersion = "9.2.88";
maxCudaVersion = "10.0.99999";
mkSrc = _: fetchurl {
url = "${urlPrefix}/v${version}/cudnn-10.0-linux-x64-v7.4.2.24.tgz";
hash = "sha256-Lt/IagK1DRfojEeJVaMy5qHoF05+U6NFi06lH68C2qM=";
};
};
# The only overlap between supported and packaged CUDA versions is 10.0.
cudnn_7_6_cudatoolkit_10_0 = generic rec {
version = "7.6.5";
cudatoolkit = cudatoolkit_10_0;
# See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn_765/cudnn-support-matrix/index.html#cudnn-versions-763-765.
minCudaVersion = "9.2.148";
maxCudaVersion = "10.1.243";
mkSrc = cudatoolkit: fetchurl {
url = "${urlPrefix}/v${version}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v7.6.5.32.tgz";
hash = {
"10.0" = "sha256-KDVeOV8LK5OsLIO2E2CzW6bNA3fkTni+GXtrYbS0kro=";
"10.1" = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLM=";
}."${cudatoolkit.majorVersion}";
};
};
cudnn_7_6_cudatoolkit_10_1 = cudnn_7_6_cudatoolkit_10_0.override { cudatoolkit = cudatoolkit_10_1; };
# cuDNN 8.x
# cuDNN 8.1 is still used by tensorflow at the time of writing (2022-02-17).
# See https://github.com/NixOS/nixpkgs/pull/158218 for more info.
cudnn_8_1_cudatoolkit_10_2 = generic rec {
version = "8.1.1";
cudatoolkit = cudatoolkit_10_2;
# See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-811/support-matrix/index.html#cudnn-versions-810-811.
minCudaVersion = "10.2.00000";
maxCudaVersion = "11.2.99999";
mkSrc = cudatoolkit:
let v = if lib.versions.majorMinor cudatoolkit.version == "10.2" then "10.2" else "11.2"; in
fetchurl {
url = "${urlPrefix}/v${version}/cudnn-${v}-linux-x64-v8.1.1.33.tgz";
hash = {
"10.2" = "sha256-Kkp7mabpv6aQ6xm7QeSVU/KnpJGls6v8rpAOFmxbbr0=";
"11.2" = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo=";
}."${v}";
};
};
cudnn_8_1_cudatoolkit_11_0 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_0; };
cudnn_8_1_cudatoolkit_11_1 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_1; };
cudnn_8_1_cudatoolkit_11_2 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_2; };
cudnn_8_1_cudatoolkit_10 = cudnn_8_1_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_10; };
# cuDNN 8.3 is necessary for the latest jaxlib, esp. jaxlib-bin. See
# https://github.com/google/jax/discussions/9455 for more info.
cudnn_8_3_cudatoolkit_10_2 = generic rec {
version = "8.3.2";
cudatoolkit = cudatoolkit_10_2;
# See https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-832/support-matrix/index.html#cudnn-cuda-hardware-versions.
minCudaVersion = "10.2.00000";
maxCudaVersion = "11.5.99999";
mkSrc = cudatoolkit:
let v = if lib.versions.majorMinor cudatoolkit.version == "10.2" then "10.2" else "11.5"; in
fetchurl {
# Starting at version 8.3.1 there's a new directory layout including
# a subdirectory `local_installers`.
url = "https://developer.download.nvidia.com/compute/redist/cudnn/v${version}/local_installers/${v}/cudnn-linux-x86_64-8.3.2.44_cuda${v}-archive.tar.xz";
hash = {
"10.2" = "sha256-1vVu+cqM+PketzIQumw9ykm6REbBZhv6/lXB7EC2aaw=";
"11.5" = "sha256-VQCVPAjF5dHd3P2iNPnvvdzb5DpTsm3AqCxyP6FwxFc=";
}."${v}";
};
};
cudnn_8_3_cudatoolkit_11_0 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_0; };
cudnn_8_3_cudatoolkit_11_1 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_1; };
cudnn_8_3_cudatoolkit_11_2 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_2; };
cudnn_8_3_cudatoolkit_11_3 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_3; };
cudnn_8_3_cudatoolkit_11_4 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_4; };
cudnn_8_3_cudatoolkit_11_5 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11_5; };
cudnn_8_3_cudatoolkit_10 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_10; };
cudnn_8_3_cudatoolkit_11 = cudnn_8_3_cudatoolkit_10_2.override { cudatoolkit = cudatoolkit_11; };
}

112
pkgs/development/libraries/science/math/cudnn/extension.nix Normal file
View File

@ -0,0 +1,112 @@
final: prev: let
inherit (final) callPackage;
inherit (prev) cudatoolkit cudaVersion lib pkgs;
### CuDNN
buildCuDnnPackage = args: callPackage ./generic.nix {} args;
toUnderscore = str: lib.replaceStrings ["."] ["_"] str;
majorMinorPatch = str: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion str));
cuDnnPackages = with lib; let
# Check whether a file is supported for our cuda version
isSupported = fileData: elem cudaVersion fileData.supportedCudaVersions;
# Return the first file that is supported. In practice there should only ever be one anyway.
supportedFile = files: findFirst isSupported null files;
# Supported versions with versions as keys and file as value
supportedVersions = filterAttrs (version: file: file !=null ) (mapAttrs (version: files: supportedFile files) cuDnnVersions);
# Compute versioned attribute name to be used in this package set
computeName = version: "cudnn_${toUnderscore version}";
# Add all supported builds as attributes
allBuilds = mapAttrs' (version: file: nameValuePair (computeName version) (buildCuDnnPackage (removeAttrs file ["fileVersion"]))) supportedVersions;
# Set the default attributes, e.g. cudnn = cudnn_8_3_1;
defaultBuild = { "cudnn" = allBuilds.${computeName cuDnnDefaultVersion}; };
in allBuilds // defaultBuild;
cuDnnVersions = let
urlPrefix = "https://developer.download.nvidia.com/compute/redist/cudnn";
in {
"7.4.2" = [
rec {
fileVersion = "10.0";
fullVersion = "7.4.2.24";
sha256 = "18ys0apiz9afid2s6lvy9qbyi8g66aimb2a7ikl1f3dm09mciprf";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-10.0-linux-x64-v${fullVersion}.tgz";
supportedCudaVersions = [ "10.0" ];
}
];
"7.6.5" = [
rec {
fileVersion = "10.0";
fullVersion = "7.6.5.32";
hash = "sha256-KDVeOV8LK5OsLIO2E2CzW6bNA3fkTni+GXtrYbS0kro=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz";
supportedCudaVersions = [ "10.0" ];
}
rec {
fileVersion = "10.1";
fullVersion = "7.6.5.32";
hash = "sha256-YAJn8squ0v1Y6yFLpmnY6jXzlqfRm5SCLms2+fcIjCA=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz";
supportedCudaVersions = [ "10.1" ];
}
rec {
fileVersion = "10.2";
fullVersion = "7.6.5.32";
hash = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLN=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz";
supportedCudaVersions = [ "10.2" ];
}
];
"8.1.1" = [
rec {
fileVersion = "10.2";
fullVersion = "8.1.1.33";
hash = "sha256-Kkp7mabpv6aQ6xm7QeSVU/KnpJGls6v8rpAOFmxbbr0=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.2";
fullVersion = "8.1.1.33";
hash = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
supportedCudaVersions = [ "11.2" ];
}
];
"8.3.2" = [
rec {
fileVersion = "10.2";
fullVersion = "8.3.2.44";
hash = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.5";
fullVersion = "8.3.2.44";
hash = "sha256-VQCVPAjF5dHd3P2iNPnvvdzb5DpTsm3AqCxyP6FwxFc=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.4" "11.5" "11.6" ];
}
];
};
# Default attributes
cuDnnDefaultVersion = {
"10.0" = "7.4.2";
"10.1" = "7.6.5";
"10.2" = "8.3.2";
"11.0" = "8.3.2";
"11.1" = "8.3.2";
"11.2" = "8.3.2";
"11.3" = "8.3.2";
"11.4" = "8.3.2";
"11.5" = "8.3.2";
"11.6" = "8.3.2";
}.${cudaVersion};
in cuDnnPackages

31
pkgs/development/libraries/science/math/cudnn/generic.nix
View File

@ -1,9 +1,3 @@
{ minCudaVersion
, maxCudaVersion
, mkSrc
, version
}:
{ stdenv
, lib
, cudatoolkit
@ -19,13 +13,27 @@
removeStatic ? false
}:
stdenv.mkDerivation {
{ fullVersion
, url
, hash ? null
, sha256 ? null
, supportedCudaVersions ? []
}:
assert (hash != null) || (sha256 != null);
let
majorMinorPatch = version: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion version));
version = majorMinorPatch fullVersion;
in stdenv.mkDerivation {
name = "cudatoolkit-${cudatoolkit.majorVersion}-cudnn-${version}";
inherit version;
# It's often the case that the src depends on the version of cudatoolkit it's
# being linked against, so we pass in `cudatoolkit` as an argument to `mkSrc`.
src = mkSrc cudatoolkit;
src = fetchurl {
inherit url hash sha256;
};
nativeBuildInputs = [ addOpenGLRunpath ];
@ -81,12 +89,7 @@ stdenv.mkDerivation {
# official version constraints (as recorded in default.nix). In some cases
# you _may_ be able to smudge version constraints, just know that you're
# embarking into unknown and unsupported territory when doing so.
broken = let cudaVer = lib.getVersion cudatoolkit; in
!(
lib.versionAtLeast cudaVer minCudaVersion
&& lib.versionAtLeast maxCudaVersion cudaVer
);
broken = !(elem cudatoolkit.majorMinorVersion supportedCudaVersions);
description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
homepage = "https://developer.nvidia.com/cudnn";
license = licenses.unfree;

48
pkgs/development/libraries/science/math/cutensor/default.nix
View File

@ -1,48 +0,0 @@
{ callPackage
, cudatoolkit_10_1
, cudatoolkit_10_2
, cudatoolkit_11
, cudatoolkit_11_0
, cudatoolkit_11_1
, cudatoolkit_11_2
, cudatoolkit_11_3
, cudatoolkit_11_4
, cudatoolkit_11_5
, cudatoolkit_11_6
}:
rec {
cutensor_cudatoolkit_10_1 = callPackage ./generic.nix rec {
version = "1.2.2.5";
libPath = "lib/10.1";
cudatoolkit = cudatoolkit_10_1;
# 1.2.2 is compatible with CUDA 10.1, 10.2, and 11.x.
# See https://docs.nvidia.com/cuda/cutensor/release_notes.html#cutensor-v1-2-2.
hash = "sha256-lU7iK4DWuC/U3s1Ct/rq2Gr3w4F2U7RYYgpmF05bibY=";
};
cutensor_cudatoolkit_10_2 = cutensor_cudatoolkit_10_1.override {
version = "1.3.1.3";
libPath = "lib/10.2";
cudatoolkit = cudatoolkit_10_2;
# 1.3.1 is compatible with CUDA 10.2 and 11.x.
# See https://docs.nvidia.com/cuda/cutensor/release_notes.html#cutensor-v1-3-1.
hash = "sha256-mNlVnabB2IC3HnYY0mb06RLqQzDxN9ePGVeBy3hkBC8=";
};
cutensor_cudatoolkit_10 = cutensor_cudatoolkit_10_2;
cutensor_cudatoolkit_11_0 = cutensor_cudatoolkit_10_2.override {
libPath = "lib/11";
cudatoolkit = cudatoolkit_11_0;
};
cutensor_cudatoolkit_11_1 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_1; };
cutensor_cudatoolkit_11_2 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_2; };
cutensor_cudatoolkit_11_3 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_3; };
cutensor_cudatoolkit_11_4 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_4; };
cutensor_cudatoolkit_11_5 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_5; };
cutensor_cudatoolkit_11_6 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11_6; };
cutensor_cudatoolkit_11 = cutensor_cudatoolkit_11_0.override { cudatoolkit = cudatoolkit_11; };
}

5
pkgs/development/libraries/science/math/libtorch/test/default.nix
View File

@ -6,10 +6,11 @@
, symlinkJoin
, cudaSupport
, cudatoolkit
, cudnn
, cudaPackages ? {}
}:
let
inherit (cudaPackages) cudatoolkit cudnn;
cudatoolkit_joined = symlinkJoin {
name = "${cudatoolkit.name}-unsplit";
paths = [ cudatoolkit.out cudatoolkit.lib ];

6
pkgs/development/libraries/science/math/magma/default.nix
View File

@ -1,4 +1,8 @@
{ lib, stdenv, fetchurl, cmake, gfortran, ninja, cudatoolkit, libpthreadstubs, lapack, blas }:
{ lib, stdenv, fetchurl, cmake, gfortran, ninja, cudaPackages, libpthreadstubs, lapack, blas }:
let
inherit (cudaPackages) cudatoolkit;
in
assert let majorIs = lib.versions.major cudatoolkit.version;
in majorIs == "9" || majorIs == "10" || majorIs == "11";

5
pkgs/development/libraries/science/math/tensorflow/bin.nix
View File

@ -1,13 +1,16 @@
{ lib, stdenv
, fetchurl
, addOpenGLRunpath
, cudaSupport ? false, symlinkJoin, cudatoolkit, cudnn
, cudaSupport ? false, cudaPackages ? {}
, symlinkJoin
}:
with lib;
let
broken = !stdenv.isLinux && !stdenv.isDarwin;
inherit (cudaPackages) cudatoolkit cudnn;
tfType = if cudaSupport then "gpu" else "cpu";
system =

12
pkgs/development/python-modules/Theano/default.nix
View File

@ -11,10 +11,14 @@
, setuptools
, six
, libgpuarray
, cudaSupport ? false, cudatoolkit
, cudnnSupport ? false, cudnn
, cudaSupport ? false, cudaPackages ? {}
, cudnnSupport ? false
}:
let
inherit (cudaPackages) cudatoolkit cudnn;
in
assert cudnnSupport -> cudaSupport;
let
@ -39,7 +43,9 @@ let
( lib.optional cudaSupport libgpuarray_
++ lib.optional cudnnSupport cudnn );
libgpuarray_ = libgpuarray.override { inherit cudaSupport cudatoolkit; };
# We need to be careful with overriding Python packages within the package set
# as this can lead to collisions!
libgpuarray_ = libgpuarray.override { inherit cudaSupport cudaPackages; };
in buildPythonPackage rec {
pname = "Theano";

10
pkgs/development/python-modules/cupy/default.nix
View File

@ -1,15 +1,13 @@
{ lib, buildPythonPackage
, fetchPypi, isPy3k, cython
, fastrlock, numpy, six, wheel, pytestCheckHook, mock, setuptools
, cudatoolkit, cudnn, cutensor, nccl
, cudaPackages
, addOpenGLRunpath
}:
assert cudnn.cudatoolkit == cudatoolkit;
assert cutensor.cudatoolkit == cudatoolkit;
assert nccl.cudatoolkit == cudatoolkit;
buildPythonPackage rec {
let
inherit (cudaPackages) cudatoolkit cudnn cutensor nccl;
in buildPythonPackage rec {
pname = "cupy";
version = "10.2.0";
disabled = !isPy3k;

12
pkgs/development/python-modules/jaxlib/bin.nix
View File

@ -18,7 +18,6 @@
, autoPatchelfHook
, buildPythonPackage
, config
, cudatoolkit_11
, cudnn
, fetchurl
, flatbuffers
@ -29,11 +28,16 @@
, stdenv
# Options:
, cudaSupport ? config.cudaSupport or false
, cudaPackages ? {}
}:
let
inherit (cudaPackages) cudatoolkit cudnn;
in
# There are no jaxlib wheels targeting cudnn <8.0.5, and although there are
# wheels for cudatoolkit <11.1, we don't support them.
assert cudaSupport -> lib.versionAtLeast cudatoolkit_11.version "11.1";
assert cudaSupport -> lib.versionAtLeast cudatoolkit.version "11.1";
assert cudaSupport -> lib.versionAtLeast cudnn.version "8.0.5";
let
@ -116,7 +120,7 @@ buildPythonPackage rec {
rpath=$(patchelf --print-rpath $file)
# For some reason `makeLibraryPath` on `cudatoolkit_11` maps to
# <cudatoolkit_11.lib>/lib which is different from <cudatoolkit_11>/lib.
patchelf --set-rpath "$rpath:${cudatoolkit_11}/lib:${lib.makeLibraryPath [ cudatoolkit_11.lib cudnn ]}" $file
patchelf --set-rpath "$rpath:${cudatoolkit}/lib:${lib.makeLibraryPath [ cudatoolkit.lib cudnn ]}" $file
done
'';
@ -127,7 +131,7 @@ buildPythonPackage rec {
# more info.
postInstall = lib.optional cudaSupport ''
mkdir -p $out/bin
ln -s ${cudatoolkit_11}/bin/ptxas $out/bin/ptxas
ln -s ${cudatoolkit}/bin/ptxas $out/bin/ptxas
'';
pythonImportsCheck = [ "jaxlib" ];

8
pkgs/development/python-modules/jaxlib/default.nix
View File

@ -18,11 +18,6 @@
, wheel
, which
# Build-time and runtime CUDA dependencies:
, cudatoolkit ? null
, cudnn ? null
, nccl ? null
# Python dependencies:
, absl-py
, flatbuffers
@ -42,6 +37,7 @@
# CUDA flags:
, cudaCapabilities ? [ "sm_35" "sm_50" "sm_60" "sm_70" "sm_75" "compute_80" ]
, cudaSupport ? false
, cudaPackages ? {}
# MKL:
, mklSupport ? true
@ -49,6 +45,8 @@
let
inherit (cudaPackages) cudatoolkit cudnn nccl;
pname = "jaxlib";
version = "0.3.0";

4
pkgs/development/python-modules/libgpuarray/default.nix
View File

@ -9,7 +9,7 @@
, six
, nose
, Mako
, cudaSupport ? false, cudatoolkit
, cudaSupport ? false, cudaPackages
, openclSupport ? true, ocl-icd, clblas
}:
@ -30,7 +30,7 @@ buildPythonPackage rec {
configurePhase = "cmakeConfigurePhase";
libraryPath = lib.makeLibraryPath (
lib.optionals cudaSupport [ cudatoolkit.lib cudatoolkit.out ]
lib.optionals cudaSupport (with cudaPackages; [ cudatoolkit.lib cudatoolkit.out ])
++ lib.optionals openclSupport ([ clblas ] ++ lib.optional (!stdenv.isDarwin) ocl-icd)
);

7
pkgs/development/python-modules/numba/default.nix
View File

@ -13,12 +13,15 @@
# CUDA-only dependencies:
, addOpenGLRunpath ? null
, cudatoolkit ? null
, cudaPackages ? {}
# CUDA flags:
, cudaSupport ? false
}:
buildPythonPackage rec {
let
inherit (cudaPackages) cudatoolkit;
in buildPythonPackage rec {
version = "0.55.1";
pname = "numba";
disabled = pythonOlder "3.6" || pythonAtLeast "3.10";

4
pkgs/development/python-modules/pycuda/default.nix
View File

@ -10,7 +10,7 @@
, decorator
, appdirs
, six
, cudatoolkit
, cudaPackages
, python
, mkDerivation
, lib
@ -19,6 +19,8 @@ let
compyte = import ./compyte.nix {
inherit mkDerivation fetchFromGitHub;
};
inherit (cudaPackages) cudatoolkit;
in
buildPythonPackage rec {
pname = "pycuda";

8
pkgs/development/python-modules/pytorch/default.nix
View File

@ -1,5 +1,5 @@
{ stdenv, lib, fetchFromGitHub, fetchpatch, buildPythonPackage, python,
cudaSupport ? false, cudatoolkit, cudnn, nccl, magma,
cudaSupport ? false, cudaPackages, magma,
mklDnnSupport ? true, useSystemNccl ? true,
MPISupport ? false, mpi,
buildDocs ? false,
@ -29,6 +29,10 @@
isPy3k, pythonOlder }:
let
inherit (cudaPackages) cudatoolkit cudnn nccl;
in
# assert that everything needed for cuda is present and that the correct cuda versions are used
assert !cudaSupport || (let majorIs = lib.versions.major cudatoolkit.version;
in majorIs == "9" || majorIs == "10" || majorIs == "11");
@ -300,7 +304,7 @@ in buildPythonPackage rec {
requiredSystemFeatures = [ "big-parallel" ];
passthru = {
inherit cudaSupport;
inherit cudaSupport cudaPackages;
cudaArchList = final_cudaArchList;
# At least for 1.10.2 `torch.fft` is unavailable unless BLAS provider is MKL. This attribute allows for easy detection of its availability.
blasProvider = blas.provider;

8
pkgs/development/python-modules/tensorflow/bin.nix
View File

@ -20,8 +20,7 @@
, tensorflow-estimator
, tensorboard
, cudaSupport ? false
, cudatoolkit
, cudnn
, cudaPackages ? {}
, patchelfUnstable
, zlib
, python
@ -43,6 +42,7 @@ assert ! (stdenv.isDarwin && cudaSupport);
let
packages = import ./binary-hashes.nix;
inherit (cudaPackages) cudatoolkit cudnn;
in buildPythonPackage {
pname = "tensorflow" + lib.optionalString cudaSupport "-gpu";
inherit (packages) version;
@ -182,6 +182,10 @@ in buildPythonPackage {
"tensorflow.python.framework"
];
passthru = {
inherit cudaPackages;
};
meta = with lib; {
description = "Computation using data flow graphs for scalable machine learning";
homepage = "http://tensorflow.org";

7
pkgs/development/python-modules/tensorflow/default.nix
View File

@ -17,7 +17,7 @@
# that in nix as well. It would make some things easier and less confusing, but
# it would also make the default tensorflow package unfree. See
# https://groups.google.com/a/tensorflow.org/forum/#!topic/developers/iRCt5m4qUz0
, cudaSupport ? false, cudatoolkit ? null, cudnn ? null, nccl ? null
, cudaSupport ? false, cudaPackages ? {}
, mklSupport ? false, mkl ? null
, tensorboardSupport ? true
# XLA without CUDA is broken
@ -31,6 +31,10 @@
, Foundation, Security, cctools, llvmPackages_11
}:
let
inherit (cudaPackages) cudatoolkit cudnn nccl;
in
assert cudaSupport -> cudatoolkit != null
&& cudnn != null;
@ -514,6 +518,7 @@ in buildPythonPackage {
# Regression test for #77626 removed because not more `tensorflow.contrib`.
passthru = {
inherit cudaPackages;
deps = bazel-build.deps;
libtensorflow = bazel-build.out;
};

4
pkgs/development/python-modules/torchvision/default.nix
View File

@ -11,12 +11,12 @@
, pillow
, pytorch
, pytest
, cudatoolkit
, cudnn
, cudaSupport ? pytorch.cudaSupport or false # by default uses the value from pytorch
}:
let
inherit (pytorch.cudaPackages) cudatoolkit cudnn;
cudatoolkit_joined = symlinkJoin {
name = "${cudatoolkit.name}-unsplit";
paths = [ cudatoolkit.out cudatoolkit.lib ];

7
pkgs/games/katago/default.nix
View File

@ -1,8 +1,7 @@
{ stdenv
, boost
, cmake
, cudatoolkit
, cudnn
, cudaPackages
, eigen
, fetchFromGitHub
, gperftools
@ -52,7 +51,7 @@ stdenv.mkDerivation rec {
] ++ lib.optionals (!enableGPU) [
eigen
] ++ lib.optionals (enableGPU && enableCuda) [
cudnn
cudaPackages.cudnn
mesa.drivers
] ++ lib.optionals (enableGPU && !enableCuda) [
opencl-headers
@ -86,7 +85,7 @@ stdenv.mkDerivation rec {
preConfigure = ''
cd cpp/
'' + lib.optionalString enableCuda ''
export CUDA_PATH="${cudatoolkit}"
export CUDA_PATH="${cudaPackages.cudatoolkit}"
export EXTRA_LDFLAGS="-L/run/opengl-driver/lib"
'';

52
pkgs/test/cuda/cuda-library-samples/default.nix
View File

@ -1,52 +0,0 @@
{ callPackage
, cudatoolkit_10_1, cudatoolkit_10_2
, cudatoolkit_11_0, cudatoolkit_11_1, cudatoolkit_11_2, cudatoolkit_11_3, cudatoolkit_11_4
, cutensor_cudatoolkit_10_1, cutensor_cudatoolkit_10_2
, cutensor_cudatoolkit_11_0, cutensor_cudatoolkit_11_1, cutensor_cudatoolkit_11_2, cutensor_cudatoolkit_11_3, cutensor_cudatoolkit_11_4
}:
rec {
cuda-library-samples_cudatoolkit_10_1 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_10_1;
cutensor_cudatoolkit = cutensor_cudatoolkit_10_1;
};
cuda-library-samples_cudatoolkit_10_2 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_10_2;
cutensor_cudatoolkit = cutensor_cudatoolkit_10_2;
};
cuda-library-samples_cudatoolkit_10 =
cuda-library-samples_cudatoolkit_10_2;
##
cuda-library-samples_cudatoolkit_11_0 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_0;
cutensor_cudatoolkit = cutensor_cudatoolkit_11_0;
};
cuda-library-samples_cudatoolkit_11_1 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_1;
cutensor_cudatoolkit = cutensor_cudatoolkit_11_1;
};
cuda-library-samples_cudatoolkit_11_2 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_2;
cutensor_cudatoolkit = cutensor_cudatoolkit_11_2;
};
cuda-library-samples_cudatoolkit_11_3 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_3;
cutensor_cudatoolkit = cutensor_cudatoolkit_11_3;
};
cuda-library-samples_cudatoolkit_11_4 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_4;
cutensor_cudatoolkit = cutensor_cudatoolkit_11_4;
};
cuda-library-samples_cudatoolkit_11 =
cuda-library-samples_cudatoolkit_11_4;
}

3
pkgs/test/cuda/cuda-library-samples/extension.nix Normal file
View File

@ -0,0 +1,3 @@
final: prev: {
cuda-library-samples = final.callPackage ./generic.nix { };
}

6
pkgs/test/cuda/cuda-library-samples/generic.nix
View File

@ -1,7 +1,7 @@
{ lib, stdenv, fetchFromGitHub
, cmake, addOpenGLRunpath
, cudatoolkit
, cutensor_cudatoolkit
, cutensor
}:
let
@ -61,9 +61,9 @@ in
# CUTENSOR_ROOT is double escaped
postPatch = ''
substituteInPlace CMakeLists.txt \
--replace "\''${CUTENSOR_ROOT}/include" "${cutensor_cudatoolkit.dev}/include"
--replace "\''${CUTENSOR_ROOT}/include" "${cutensor.dev}/include"
'';
CUTENSOR_ROOT = cutensor_cudatoolkit;
CUTENSOR_ROOT = cutensor;
});
}

54
pkgs/test/cuda/cuda-samples/default.nix
View File

@ -1,54 +0,0 @@
{ callPackage
, cudatoolkit_10_0, cudatoolkit_10_1, cudatoolkit_10_2
, cudatoolkit_11_0, cudatoolkit_11_1, cudatoolkit_11_2, cudatoolkit_11_3, cudatoolkit_11_4
}:
rec {
##
cuda-samples_cudatoolkit_10_0 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_10_0;
sha256 = "1zvh4xsdyc59m87brpcmssxsjlp9dkynh4asnkcmc3g94f53l0jw";
};
cuda-samples_cudatoolkit_10_1 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_10_1;
sha256 = "1s8ka0hznrni36ajhzf2gqpdrl8kd8fi047qijxks5l2abc093qd";
};
cuda-samples_cudatoolkit_10_2 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_10_2;
sha256 = "01p1innzgh9siacpld6nsqimj8jkg93rk4gj8q4crn62pa5vhd94";
};
cuda-samples_cudatoolkit_10 = cuda-samples_cudatoolkit_10_2;
##
cuda-samples_cudatoolkit_11_0 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_0;
sha256 = "1n3vjc8c7zdig2xgl5fppavrphqzhdiv9m9nk6smh4f99fwi0705";
};
cuda-samples_cudatoolkit_11_1 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_1;
sha256 = "1kjixk50i8y1bkiwbdn5lkv342crvkmbvy1xl5j3lsa1ica21kwh";
};
cuda-samples_cudatoolkit_11_2 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_2;
sha256 = "1p1qjvfbm28l933mmnln02rqrf0cy9kbpsyb488d1haiqzvrazl1";
};
cuda-samples_cudatoolkit_11_3 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_3;
sha256 = "0kbibb6pgz8j5iq6284axcnmycaha9bw8qlmdp6yfwmnahq1v0yz";
};
cuda-samples_cudatoolkit_11_4 = callPackage ./generic.nix {
cudatoolkit = cudatoolkit_11_4;
sha256 = "082dkk5y34wyvjgj2p5j1d00rk8xaxb9z0mhvz16bd469r1bw2qk";
};
cuda-samples_cudatoolkit_11 = cuda-samples_cudatoolkit_11_4;
}

20
pkgs/test/cuda/cuda-samples/extension.nix Normal file
View File

@ -0,0 +1,20 @@
final: prev: let
sha256 = {
"10.0" = "1zvh4xsdyc59m87brpcmssxsjlp9dkynh4asnkcmc3g94f53l0jw";
"10.1" = "1s8ka0hznrni36ajhzf2gqpdrl8kd8fi047qijxks5l2abc093qd";
"10.2" = "01p1innzgh9siacpld6nsqimj8jkg93rk4gj8q4crn62pa5vhd94";
"11.0" = "1n3vjc8c7zdig2xgl5fppavrphqzhdiv9m9nk6smh4f99fwi0705";
"11.1" = "1kjixk50i8y1bkiwbdn5lkv342crvkmbvy1xl5j3lsa1ica21kwh";
"11.2" = "1p1qjvfbm28l933mmnln02rqrf0cy9kbpsyb488d1haiqzvrazl1";
"11.3" = "0kbibb6pgz8j5iq6284axcnmycaha9bw8qlmdp6yfwmnahq1v0yz";
"11.4" = "082dkk5y34wyvjgj2p5j1d00rk8xaxb9z0mhvz16bd469r1bw2qk";
"11.5" = "sha256-AKRZbke0K59lakhTi8dX2cR2aBuWPZkiQxyKaZTvHrI=";
"11.6" = "sha256-AsLNmAplfuQbXg9zt09tXAuFJ524EtTYsQuUlV1tPkE=";
}.${prev.cudaVersion};
in {
cuda-samples = final.callPackage ./generic.nix {
inherit sha256;
};
}

46
pkgs/top-level/aliases.nix
View File

@ -195,7 +195,6 @@ mapAliases ({
cryptol = throw "cryptol was removed due to prolonged broken build"; # Added 2020-08-21
# CUDA Toolkit
cudatoolkit_6 = throw "cudatoolkit_6 has been removed in favor of newer versions"; # Added 2021-02-14
cudatoolkit_65 = throw "cudatoolkit_65 has been removed in favor of newer versions"; # Added 2021-02-14
cudatoolkit_7 = throw "cudatoolkit_7 has been removed in favor of newer versions"; # Added 2021-02-14
@ -205,15 +204,56 @@ mapAliases ({
cudatoolkit_9_0 = throw "cudatoolkit_9_0 has been removed in favor of newer versions"; # Added 2021-04-18
cudatoolkit_9_1 = throw "cudatoolkit_9_1 has been removed in favor of newer versions"; # Added 2021-04-18
cudatoolkit_9_2 = throw "cudatoolkit_9_2 has been removed in favor of newer versions"; # Added 2021-04-18
cudatoolkit_10 = throw "cudatoolkit_10 has been renamed to cudaPackages_10.cudatoolkit"; # Added 2022-04-04
cudatoolkit_10_0 = throw "cudatoolkit_10_0 has been renamed to cudaPackages_10_0.cudatoolkit"; # Added 2022-04-04
cudatoolkit_10_1 = throw "cudatoolkit_10_1 has been renamed to cudaPackages_10_1.cudatoolkit"; # Added 2022-04-04
cudatoolkit_10_2 = throw "cudatoolkit_10_2 has been renamed to cudaPackages_10_2.cudatoolkit"; # Added 2022-04-04
cudatoolkit_11_0 = throw "cudatoolkit_11_0 has been renamed to cudaPackages_11_0.cudatoolkit"; # Added 2022-04-04
cudatoolkit_11_1 = throw "cudatoolkit_11_1 has been renamed to cudaPackages_11_1.cudatoolkit"; # Added 2022-04-04
cudatoolkit_11_2 = throw "cudatoolkit_11_2 has been renamed to cudaPackages_11_2.cudatoolkit"; # Added 2022-04-04
cudatoolkit_11_3 = throw "cudatoolkit_11_3 has been renamed to cudaPackages_11_3.cudatoolkit"; # Added 2022-04-04
cudatoolkit_11_4 = throw "cudatoolkit_11_4 has been renamed to cudaPackages_11_4.cudatoolkit"; # Added 2022-04-04
cudatoolkit_11_5 = throw "cudatoolkit_11_5 has been renamed to cudaPackages_11_5.cudatoolkit"; # Added 2022-04-04
cudatoolkit_11_6 = throw "cudatoolkit_11_6 has been renamed to cudaPackages_11_6.cudatoolkit"; # Added 2022-04-04
cudnn = throw "cudnn is now part of cudaPackages*"; # Added 2022-04-04
cudnn6_cudatoolkit_8 = throw "cudnn6_cudatoolkit_8 has been removed in favor of newer versions"; # Added 2021-02-14
cudnn_cudatoolkit_7 = throw "cudnn_cudatoolkit_7 has been removed in favor of newer versions"; # Added 2021-02-14
cudnn_7_4_cudatoolkit_10_0 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_cudatoolkit_7_5 = throw "cudnn_cudatoolkit_7_5 has been removed in favor of newer versions"; # Added 2021-02-14
cudnn_7_6_cudatoolkit_10_0 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_7_6_cudatoolkit_10_1 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_cudatoolkit_8 = throw "cudnn_cudatoolkit_8 has been removed in favor of newer versions"; # Added 2021-02-14
cudnn_8_1_cudatoolkit_10_2 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_1_cudatoolkit_11_0 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_1_cudatoolkit_11_1 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_1_cudatoolkit_11_2 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_1_cudatoolkit_10 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_10_2 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_11_0 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_11_1 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_11_2 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_11_3 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_11_4 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_11_5 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_10 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_8_3_cudatoolkit_11 = throw "cudnn* is now part of cudaPackages*"; # Added 2022-04-04
cudnn_cudatoolkit_9 = throw "cudnn_cudatoolkit_9 has been removed in favor of newer versions"; # Added 2021-04-18
cudnn_cudatoolkit_9_0 = throw "cudnn_cudatoolkit_9_0 has been removed in favor of newer versions"; # Added 2021-04-18
cudnn_cudatoolkit_9_1 = throw "cudnn_cudatoolkit_9_1 has been removed in favor of newer versions"; # Added 2021-04-18
cudnn_cudatoolkit_9_2 = throw "cudnn_cudatoolkit_9_2 has been removed in favor of newer versions"; # Added 2021-04-18
cutensor = throw "cutensor is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_10 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_10_1 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_10_2 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_11 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_11_0 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_11_1 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_11_2 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_11_3 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cutensor_cudatoolkit_11_4 = throw "cutensor* is now part of cudaPackages*"; # Added 2022-04-04
cloud-print-connector = throw "Google Cloudprint is officially discontinued since Jan 2021, more info https://support.google.com/chrome/a/answer/9633006";
cquery = throw "cquery has been removed because it is abandoned by upstream. Consider switching to clangd or ccls instead"; # Added 2020-06-15
cups-googlecloudprint = throw "Google Cloudprint is officially discontinued since Jan 2021, more info https://support.google.com/chrome/a/answer/9633006";
@ -782,6 +822,10 @@ mapAliases ({
### N ###
nccl = throw "nccl has been renamed to cudaPackages.nccl"; # Added 2022-04-04
nccl_cudatoolkit_10 = throw "nccl_cudatoolkit_10 has been renamed to cudaPackages_10.nccl"; # Added 2022-04-04
nccl_cudatoolkit_11 = throw "nccl_cudatoolkit_11 has been renamed to cudaPackages_11.nccl"; # Added 2022-04-04
net_snmp = net-snmp; # Added 2019-12-21
nagiosPluginsOfficial = monitoring-plugins;
navit = throw "navit has been removed from nixpkgs, due to being unmaintained"; # Added 2021-06-07

81
pkgs/top-level/all-packages.nix
View File

@ -2360,8 +2360,7 @@ with pkgs;
libtensorflow-bin = callPackage ../development/libraries/science/math/tensorflow/bin.nix {
cudaSupport = config.cudaSupport or false;
cudatoolkit = cudatoolkit_10_0;
cudnn = cudnn_7_4_cudatoolkit_10_0;
cudaPackages = cudaPackages_10_0;
};
libtensorflow =
@ -4619,59 +4618,24 @@ with pkgs;
snooze = callPackage ../tools/system/snooze { };
cudaPackages = recurseIntoAttrs (callPackage ../development/compilers/cudatoolkit {});
inherit (cudaPackages)
cudatoolkit_10
cudatoolkit_10_0
cudatoolkit_10_1
cudatoolkit_10_2
cudatoolkit_11
cudatoolkit_11_0
cudatoolkit_11_1
cudatoolkit_11_2
cudatoolkit_11_3
cudatoolkit_11_4
cudatoolkit_11_5
cudatoolkit_11_6;
cudaPackages_10_0 = callPackage ./cuda-packages.nix { cudaVersion = "10.0"; };
cudaPackages_10_1 = callPackage ./cuda-packages.nix { cudaVersion = "10.1"; };
cudaPackages_10_2 = callPackage ./cuda-packages.nix { cudaVersion = "10.2"; };
cudaPackages_10 = cudaPackages_10_2;
cudatoolkit = cudatoolkit_11;
cudaPackages_11_0 = callPackage ./cuda-packages.nix { cudaVersion = "11.0"; };
cudaPackages_11_1 = callPackage ./cuda-packages.nix { cudaVersion = "11.1"; };
cudaPackages_11_2 = callPackage ./cuda-packages.nix { cudaVersion = "11.2"; };
cudaPackages_11_3 = callPackage ./cuda-packages.nix { cudaVersion = "11.3"; };
cudaPackages_11_4 = callPackage ./cuda-packages.nix { cudaVersion = "11.4"; };
cudaPackages_11_5 = callPackage ./cuda-packages.nix { cudaVersion = "11.5"; };
cudaPackages_11_6 = callPackage ./cuda-packages.nix { cudaVersion = "11.6"; };
cudaPackages_11 = cudaPackages_11_5;
cudaPackages = cudaPackages_11;
cudnnPackages = callPackages ../development/libraries/science/math/cudnn { };
inherit (cudnnPackages)
cudnn_7_4_cudatoolkit_10_0
cudnn_7_6_cudatoolkit_10_0
cudnn_7_6_cudatoolkit_10_1
cudnn_8_1_cudatoolkit_10_2
cudnn_8_1_cudatoolkit_11_0
cudnn_8_1_cudatoolkit_11_1
cudnn_8_1_cudatoolkit_11_2
cudnn_8_1_cudatoolkit_10
cudnn_8_3_cudatoolkit_10_2
cudnn_8_3_cudatoolkit_11_0
cudnn_8_3_cudatoolkit_11_1
cudnn_8_3_cudatoolkit_11_2
cudnn_8_3_cudatoolkit_11_3
cudnn_8_3_cudatoolkit_11_4
cudnn_8_3_cudatoolkit_11_5
cudnn_8_3_cudatoolkit_10
cudnn_8_3_cudatoolkit_11;
# Make sure to keep this in sync with the `cudatoolkit` version!
cudnn = cudnn_8_3_cudatoolkit_11;
cutensorPackages = callPackages ../development/libraries/science/math/cutensor { };
inherit (cutensorPackages)
cutensor_cudatoolkit_10
cutensor_cudatoolkit_10_1
cutensor_cudatoolkit_10_2
cutensor_cudatoolkit_11
cutensor_cudatoolkit_11_0
cutensor_cudatoolkit_11_1
cutensor_cudatoolkit_11_2
cutensor_cudatoolkit_11_3
cutensor_cudatoolkit_11_4;
cutensor = cutensor_cudatoolkit_11;
# TODO: move to alias
cudatoolkit = cudaPackages.cudatoolkit;
cudatoolkit_11 = cudaPackages_11.cudatoolkit;
curie = callPackage ../data/fonts/curie { };
@ -8184,10 +8148,6 @@ with pkgs;
nbd = callPackage ../tools/networking/nbd { };
xnbd = callPackage ../tools/networking/xnbd { };
nccl = callPackage ../development/libraries/science/math/nccl { };
nccl_cudatoolkit_10 = nccl.override { cudatoolkit = cudatoolkit_10; };
nccl_cudatoolkit_11 = nccl.override { cudatoolkit = cudatoolkit_11; };
ndjbdns = callPackage ../tools/networking/ndjbdns { };
ndppd = callPackage ../applications/networking/ndppd { };
@ -26411,7 +26371,7 @@ with pkgs;
gpu-screen-recorder = callPackage ../applications/video/gpu-screen-recorder {
# rm me as soon as this package gains the support for cuda 11
cudatoolkit = cudatoolkit_10;
inherit (cudaPackages_10) cudatoolkit;
};
gpu-screen-recorder-gtk = callPackage ../applications/video/gpu-screen-recorder/gpu-screen-recorder-gtk.nix { };
@ -31325,8 +31285,6 @@ with pkgs;
katagoWithCuda = katago.override {
enableCuda = true;
cudnn = cudnn_8_3_cudatoolkit_11;
cudatoolkit = cudatoolkit_11;
};
katagoCPU = katago.override {
@ -32930,8 +32888,7 @@ with pkgs;
caffe = callPackage ../applications/science/math/caffe ({
cudaSupport = config.cudaSupport or false;
cudatoolkit = cudatoolkit_10_1;
cudnn = cudnn_7_6_cudatoolkit_10_1;
cudaPackages = cudaPackages_10_1;
opencv3 = opencv3WithoutCuda; # Used only for image loading.
blas = openblas;
inherit (darwin.apple_sdk.frameworks) Accelerate CoreGraphics CoreVideo;

72
pkgs/top-level/cuda-packages.nix Normal file
View File

@ -0,0 +1,72 @@
{ lib
, pkgs
, cudaVersion
}:
with lib;
let
scope = makeScope pkgs.newScope (final: {
# Here we put package set configuration and utility functions.
inherit cudaVersion;
cudaMajorVersion = versions.major final.cudaVersion;
cudaMajorMinorVersion = lib.versions.majorMinor final.cudaVersion;
inherit lib pkgs;
addBuildInputs = drv: buildInputs: drv.overrideAttrs (oldAttrs: {
buildInputs = (oldAttrs.buildInputs or []) ++ buildInputs;
});
});
cutensorExtension = final: prev: let
### CuTensor
buildCuTensorPackage = final.callPackage ../development/libraries/science/math/cutensor/generic.nix;
cuTensorVersions = {
"1.2.2.5" = {
hash = "sha256-lU7iK4DWuC/U3s1Ct/rq2Gr3w4F2U7RYYgpmF05bibY=";
};
"1.3.1.3" = {
hash = "sha256-mNlVnabB2IC3HnYY0mb06RLqQzDxN9ePGVeBy3hkBC8=";
};
};
inherit (final) cudaMajorMinorVersion cudaMajorVersion;
cutensor = buildCuTensorPackage rec {
version = if cudaMajorMinorVersion == "10.1" then "1.2.2.5" else "1.3.1.3";
inherit (cuTensorVersions.${version}) hash;
# This can go into generic.nix
libPath = "lib/${if cudaMajorVersion == "10" then cudaMajorMinorVersion else cudaMajorVersion}";
};
in { inherit cutensor; };
extraPackagesExtension = final: prev: {
nccl = final.callPackage ../development/libraries/science/math/nccl { };
autoAddOpenGLRunpathHook = final.callPackage ( { makeSetupHook, addOpenGLRunpath }:
makeSetupHook {
name = "auto-add-opengl-runpath-hook";
deps = [
addOpenGLRunpath
];
} ../development/compilers/cudatoolkit/auto-add-opengl-runpath-hook.sh
) {};
};
composedExtension = composeManyExtensions [
extraPackagesExtension
(import ../development/compilers/cudatoolkit/extension.nix)
(import ../development/compilers/cudatoolkit/redist/extension.nix)
(import ../development/compilers/cudatoolkit/redist/overrides.nix)
(import ../development/libraries/science/math/cudnn/extension.nix)
(import ../test/cuda/cuda-samples/extension.nix)
(import ../test/cuda/cuda-library-samples/extension.nix)
cutensorExtension
];
in (scope.overrideScope' composedExtension)

39
pkgs/top-level/python-packages.nix
View File

@ -94,12 +94,6 @@ let
disabledIf = x: drv: if x then disabled drv else drv;
# CUDA-related packages that are compatible with the currently packaged version
# of TensorFlow, used to keep these versions in sync in related packages like `jaxlib`.
tensorflow_compat_cudatoolkit = pkgs.cudatoolkit_11_2;
tensorflow_compat_cudnn = pkgs.cudnn_8_1_cudatoolkit_11_2;
tensorflow_compat_nccl = pkgs.nccl_cudatoolkit_11;
in {
inherit pkgs stdenv;
@ -1959,12 +1953,7 @@ in {
cufflinks = callPackage ../development/python-modules/cufflinks { };
cupy = callPackage ../development/python-modules/cupy {
cudatoolkit = pkgs.cudatoolkit_11;
cudnn = pkgs.cudnn_8_3_cudatoolkit_11;
nccl = pkgs.nccl_cudatoolkit_11;
cutensor = pkgs.cutensor_cudatoolkit_11;
};
cupy = callPackage ../development/python-modules/cupy { };
curio = callPackage ../development/python-modules/curio { };
@ -4231,22 +4220,20 @@ in {
jaxlib-bin = callPackage ../development/python-modules/jaxlib/bin.nix {
cudaSupport = pkgs.config.cudaSupport or false;
cudatoolkit_11 = tensorflow_compat_cudatoolkit;
cudnn = tensorflow_compat_cudnn;
inherit (self.tensorflow) cudaPackages;
};
jaxlib-build = callPackage ../development/python-modules/jaxlib {
# Some platforms don't have `cudaSupport` defined, hence the need for 'or false'.
cudaSupport = pkgs.config.cudaSupport or false;
cudatoolkit = tensorflow_compat_cudatoolkit;
cudnn = tensorflow_compat_cudnn;
nccl = tensorflow_compat_nccl;
inherit (self.tensorflow) cudaPackages;
};
jaxlib = self.jaxlib-build;
jaxlibWithCuda = self.jaxlib-build.override {
cudaSupport = true;
};
jaxlibWithoutCuda = self.jaxlib-build.override {
@ -5681,7 +5668,6 @@ in {
numba = callPackage ../development/python-modules/numba {
cudaSupport = pkgs.config.cudaSupport or false;
cudatoolkit = tensorflow_compat_cudatoolkit;
};
numbaWithCuda = self.numba.override {
@ -6876,7 +6862,6 @@ in {
pyctr = callPackage ../development/python-modules/pyctr { };
pycuda = callPackage ../development/python-modules/pycuda {
inherit (pkgs) cudatoolkit;
inherit (pkgs.stdenv) mkDerivation;
};
@ -7596,6 +7581,7 @@ in {
});
pyrealsense2WithCuda = toPythonModule (pkgs.librealsenseWithCuda.override {
cudaSupport = true;
enablePython = true;
pythonPackages = self;
});
@ -9894,18 +9880,21 @@ in {
tensorboardx = callPackage ../development/python-modules/tensorboardx { };
tensorflow-bin = callPackage ../development/python-modules/tensorflow/bin.nix {
tensorflow-bin = let
# CUDA-related packages that are compatible with the currently packaged version
# of TensorFlow, used to keep these versions in sync in related packages like `jaxlib`.
cudaPackages = pkgs.cudaPackages_11_2.overrideScope' (final: prev: {
cudnn = prev.cudnn_8_1_1;
});
in callPackage ../development/python-modules/tensorflow/bin.nix {
cudaSupport = pkgs.config.cudaSupport or false;
cudatoolkit = tensorflow_compat_cudatoolkit;
cudnn = tensorflow_compat_cudnn;
inherit cudaPackages;
};
tensorflow-build = callPackage ../development/python-modules/tensorflow {
inherit (pkgs.darwin) cctools;
cudaSupport = pkgs.config.cudaSupport or false;
cudatoolkit = tensorflow_compat_cudatoolkit;
cudnn = tensorflow_compat_cudnn;
nccl = tensorflow_compat_nccl;
inherit (self.tensorflow-bin) cudaPackages;
inherit (pkgs.darwin.apple_sdk.frameworks) Foundation Security;
flatbuffers-core = pkgs.flatbuffers;
flatbuffers-python = self.flatbuffers;

55
pkgs/top-level/release-cuda.nix Normal file
View File

@ -0,0 +1,55 @@
/*
Test CUDA packages.
This release file will not be tested on hydra.nixos.org
because it requires unfree software.
Test for example like this:
$ hydra-eval-jobs pkgs/top-level/release-cuda.nix --option restrict-eval false -I foo=. --arg nixpkgs '{ outPath = ./.; revCount = 0; shortRev = "aabbcc"; }'
*/
{ # The platforms for which we build Nixpkgs.
supportedSystems ? [
"x86_64-linux"
]
, # Attributes passed to nixpkgs.
nixpkgsArgs ? { config = { allowUnfree = true; inHydra = true; }; }
}:
with import ./release-lib.nix {inherit supportedSystems nixpkgsArgs; };
with lib;
let
# Package sets to evaluate
packageSets = [
"cudaPackages_10_0"
"cudaPackages_10_1"
"cudaPackages_10_2"
"cudaPackages_10"
"cudaPackages_11_0"
"cudaPackages_11_1"
"cudaPackages_11_2"
"cudaPackages_11_3"
"cudaPackages_11_4"
"cudaPackages_11_5"
"cudaPackages_11_6"
"cudaPackages_11"
"cudaPackages"
];
evalPackageSet = pset: mapTestOn { ${pset} = packagePlatforms pkgs.${pset}; };
jobs = (mapTestOn ({
# Packages to evaluate
python3.pkgs.caffeWithCuda = linux;
python3.pkgs.jaxlibWithCuda = linux;
python3.pkgs.libgpuarray = linux;
python3.pkgs.tensorflowWithCuda = linux;
python3.pkgs.pyrealsense2WithCuda = linux;
python3.pkgs.pytorchWithCuda = linux;
python3.pkgs.jaxlib = linux;
}) // (genAttrs packageSets evalPackageSet));
in jobs