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.
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50 changed files with 3350 additions and 521 deletions
34
doc/languages-frameworks/cuda.section.md
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34
doc/languages-frameworks/cuda.section.md
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@ -0,0 +1,34 @@
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# CUDA {#cuda}
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CUDA-only packages are stored in the `cudaPackages` packages set. This set
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includes the `cudatoolkit`, portions of the toolkit in separate derivations,
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`cudnn`, `cutensor` and `nccl`.
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A package set is available for each CUDA version, so for example
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`cudaPackages_11_6`. Within each set is a matching version of the above listed
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packages. Additionally, other versions of the packages that are packaged and
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compatible are available as well. For example, there can be a
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`cudaPackages.cudnn_8_3_2` package.
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To use one or more CUDA packages in an expression, give the expression a `cudaPackages` parameter, and in case CUDA is optional
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```nix
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cudaSupport ? false
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cudaPackages ? {}
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```
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When using `callPackage`, you can choose to pass in a different variant, e.g.
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when a different version of the toolkit suffices
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```nix
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mypkg = callPackage { cudaPackages = cudaPackages_11_5; }
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```
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If another version of say `cudnn` or `cutensor` is needed, you can override the
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package set to make it the default. This guarantees you get a consistent package
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set.
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```nix
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mypkg = let
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cudaPackages = cudaPackages_11_5.overrideScope' (final: prev {
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cudnn = prev.cudnn_8_3_2;
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}});
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in callPackage { inherit cudaPackages; };
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```
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@ -11,6 +11,7 @@
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<xi:include href="bower.section.xml" />
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<xi:include href="coq.section.xml" />
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<xi:include href="crystal.section.xml" />
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<xi:include href="cuda.section.xml" />
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<xi:include href="dhall.section.xml" />
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<xi:include href="dotnet.section.xml" />
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<xi:include href="emscripten.section.xml" />
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@ -85,7 +85,7 @@ in
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config = mkIf cfg.enable {
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systemd.services.ethminer = {
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path = optional (cfg.toolkit == "cuda") [ pkgs.cudatoolkit ];
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path = optional (cfg.toolkit == "cuda") [ pkgs.cudaPackages.cudatoolkit ];
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description = "ethminer ethereum mining service";
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wantedBy = [ "multi-user.target" ];
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after = [ "network.target" ];
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@ -5,7 +5,7 @@
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, openvdb, libXxf86vm, tbb, alembic
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, zlib, zstd, fftw, opensubdiv, freetype, jemalloc, ocl-icd, addOpenGLRunpath
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, jackaudioSupport ? false, libjack2
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, cudaSupport ? config.cudaSupport or false, cudatoolkit_11
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, cudaSupport ? config.cudaSupport or false, cudaPackages ? {}
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, colladaSupport ? true, opencollada
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, spaceNavSupport ? stdenv.isLinux, libspnav
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, makeWrapper
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@ -63,7 +63,7 @@ stdenv.mkDerivation rec {
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llvmPackages.openmp SDL Cocoa CoreGraphics ForceFeedback OpenAL OpenGL
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])
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++ optional jackaudioSupport libjack2
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++ optional cudaSupport cudatoolkit_11
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++ optional cudaSupport cudaPackages.cudatoolkit
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++ optional colladaSupport opencollada
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++ optional spaceNavSupport libspnav;
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pythonPath = with python310Packages; [ numpy requests ];
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@ -8,11 +8,13 @@
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, glibc
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, git
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, pkg-config
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, cudatoolkit
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, cudaPackages ? {}
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, withCuda ? false
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}:
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let
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inherit (cudaPackages) cudatoolkit;
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hwloc = stdenv.mkDerivation rec {
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pname = "hwloc";
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version = "2.2.0";
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@ -13,13 +13,17 @@
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, Accelerate, CoreGraphics, CoreVideo
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, lmdbSupport ? true, lmdb
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, leveldbSupport ? true, leveldb, snappy
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, cudaSupport ? config.cudaSupport or false, cudatoolkit
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, cudnnSupport ? cudaSupport, cudnn ? null
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, ncclSupport ? false, nccl ? null
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, cudaSupport ? config.cudaSupport or false, cudaPackages ? {}
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, cudnnSupport ? cudaSupport
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, ncclSupport ? false
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, pythonSupport ? false, python ? null, numpy ? null
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, substituteAll
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}:
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let
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inherit (cudaPackages) cudatoolkit cudnn nccl;
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in
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assert leveldbSupport -> (leveldb != null && snappy != null);
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assert cudnnSupport -> cudaSupport;
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assert ncclSupport -> cudaSupport;
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@ -2,10 +2,14 @@
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, fetchpatch
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, openblas, blas, lapack, opencv3, libzip, boost, protobuf, mpi
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, onebitSGDSupport ? false
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, cudaSupport ? false, addOpenGLRunpath, cudatoolkit, nvidia_x11
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, cudnnSupport ? cudaSupport, cudnn
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, cudaSupport ? false, cudaPackages ? {}, addOpenGLRunpath, cudatoolkit, nvidia_x11
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, cudnnSupport ? cudaSupport
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}:
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let
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inherit (cudaPackages) cudatoolkit cudnn;
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in
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assert cudnnSupport -> cudaSupport;
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assert blas.implementation == "openblas" && lapack.implementation == "openblas";
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@ -1,10 +1,14 @@
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{ config, stdenv, lib, fetchurl, fetchpatch, bash, cmake
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, opencv3, gtest, blas, gomp, llvmPackages, perl
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, cudaSupport ? config.cudaSupport or false, cudatoolkit, nvidia_x11
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, cudnnSupport ? cudaSupport, cudnn
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, cudaSupport ? config.cudaSupport or false, cudaPackages ? {}, nvidia_x11
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, cudnnSupport ? cudaSupport
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, cudaCapabilities ? [ "3.7" "5.0" "6.0" "7.0" "7.5" "8.0" "8.6" ]
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}:
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let
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inherit (cudaPackages) cudatoolkit cudnn;
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in
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assert cudnnSupport -> cudaSupport;
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stdenv.mkDerivation rec {
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@ -0,0 +1,14 @@
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# Run autoOpenGLRunpath on all files
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echo "Sourcing auto-add-opengl-runpath-hook"
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autoAddOpenGLRunpathPhase () {
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# TODO: support multiple outputs
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for file in $(find ${out,lib,bin} -type f); do
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addOpenGLRunpath $file
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done
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}
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if [ -z "${dontUseAutoAddOpenGLRunpath-}" ]; then
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echo "Using autoAddOpenGLRunpathPhase"
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postFixupHooks+=(autoAddOpenGLRunpathPhase)
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fi
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@ -254,6 +254,7 @@ stdenv.mkDerivation rec {
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'';
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passthru = {
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cc = gcc;
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majorMinorVersion = lib.versions.majorMinor version;
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majorVersion = lib.versions.majorMinor version;
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};
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@ -1,94 +0,0 @@
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{ callPackage
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, fetchurl
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, gcc7
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, gcc9
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, gcc10
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, lib
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}:
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let
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common = callPackage ./common.nix;
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in
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rec {
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cudatoolkit_10_0 = common {
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version = "10.0.130";
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url = "https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux";
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sha256 = "16p3bv1lwmyqpxil8r951h385sy9asc578afrc7lssa68c71ydcj";
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gcc = gcc7;
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};
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cudatoolkit_10_1 = common {
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version = "10.1.243";
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url = "https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run";
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sha256 = "0caxhlv2bdq863dfp6wj7nad66ml81vasq2ayf11psvq2b12vhp7";
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gcc = gcc7;
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};
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cudatoolkit_10_2 = common {
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version = "10.2.89";
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url = "http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run";
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sha256 = "04fasl9sjkb1jvchvqgaqxprnprcz7a8r52249zp2ijarzyhf3an";
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gcc = gcc7;
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};
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cudatoolkit_10 = cudatoolkit_10_2;
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cudatoolkit_11_0 = common {
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version = "11.0.3";
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url = "https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda_11.0.3_450.51.06_linux.run";
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sha256 = "1h4c69nfrgm09jzv8xjnjcvpq8n4gnlii17v3wzqry5d13jc8ydh";
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gcc = gcc9;
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};
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cudatoolkit_11_1 = common {
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version = "11.1.1";
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url = "https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run";
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sha256 = "13yxv2fgvdnqqbwh1zb80x4xhyfkbajfkwyfpdg9493010kngbiy";
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gcc = gcc9;
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};
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cudatoolkit_11_2 = common {
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version = "11.2.1";
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url = "https://developer.download.nvidia.com/compute/cuda/11.2.1/local_installers/cuda_11.2.1_460.32.03_linux.run";
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sha256 = "sha256-HamMuJfMX1inRFpKZspPaSaGdwbLOvWKZpzc2Nw9F8g=";
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gcc = gcc9;
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};
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cudatoolkit_11_3 = common {
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version = "11.3.1";
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url = "https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run";
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sha256 = "0d19pwcqin76scbw1s5kgj8n0z1p4v1hyfldqmamilyfxycfm4xd";
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gcc = gcc9;
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};
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cudatoolkit_11_4 = common {
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version = "11.4.2";
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url = "https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/cuda_11.4.2_470.57.02_linux.run";
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sha256 = "sha256-u9h8oOkT+DdFSnljZ0c1E83e9VUILk2G7Zo4ZZzIHwo=";
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gcc = gcc10; # can bump to 11 along with stdenv.cc
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};
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cudatoolkit_11_5 = common {
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version = "11.5.0";
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url = "https://developer.download.nvidia.com/compute/cuda/11.5.0/local_installers/cuda_11.5.0_495.29.05_linux.run";
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sha256 = "sha256-rgoWk9lJfPPYHmlIlD43lGNpANtxyY1Y7v2sr38aHkw=";
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gcc = gcc10; # can bump to 11 along with stdenv.cc
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};
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cudatoolkit_11_6 = common {
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version = "11.6.1";
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url = "https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run";
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sha256 = "sha256-qyGa/OALdCABEyaYZvv/derQN7z8I1UagzjCaEyYTX4=";
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gcc = gcc10; # can bump to 11 along with stdenv.cc
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};
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# Make sure to only ever update this to a version that is compatible with the
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# latest cudnn, nccl, cutensor, etc! It sometimes happens that CUDA versions
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# are released prior to compatibility with the rest of the ecosystem. And
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# don't forget to request a review from @NixOS/cuda-maintainers!
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cudatoolkit_11 = cudatoolkit_11_5; # update me to 11_6 when cudnn>=8.3.3
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}
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15
pkgs/development/compilers/cudatoolkit/extension.nix
Normal file
15
pkgs/development/compilers/cudatoolkit/extension.nix
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final: prev: let
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### Cuda Toolkit
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# Function to build the class cudatoolkit package
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buildCudaToolkitPackage = final.callPackage ./common.nix;
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# Version info for the classic cudatoolkit packages that contain everything that is in redist.
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cudatoolkitVersions = final.lib.importTOML ./versions.toml;
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### Add classic cudatoolkit package
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cudatoolkit = buildCudaToolkitPackage ((attrs: attrs // { gcc = prev.pkgs.${attrs.gcc}; }) cudatoolkitVersions.${final.cudaVersion});
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in {
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inherit cudatoolkit;
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}
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@ -0,0 +1,51 @@
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{ lib
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, stdenv
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, fetchurl
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, autoPatchelfHook
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, autoAddOpenGLRunpathHook
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}:
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pname:
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attrs:
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let
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arch = "linux-x86_64";
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in stdenv.mkDerivation {
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inherit pname;
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inherit (attrs) version;
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src = assert (lib.hasAttr arch attrs); fetchurl {
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url = "https://developer.download.nvidia.com/compute/cuda/redist/${attrs.${arch}.relative_path}";
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inherit (attrs.${arch}) sha256;
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};
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nativeBuildInputs = [
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autoPatchelfHook
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# This hook will make sure libcuda can be found
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# in typically /lib/opengl-driver by adding that
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# directory to the rpath of all ELF binaries.
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# Check e.g. with `patchelf --print-rpath path/to/my/binary
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autoAddOpenGLRunpathHook
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];
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buildInputs = [
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stdenv.cc.cc.lib
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];
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dontBuild = true;
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# TODO: choose whether to install static/dynamic libs
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installPhase = ''
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runHook preInstall
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rm LICENSE
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mkdir -p $out
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mv * $out
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runHook postInstall
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'';
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meta = {
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description = attrs.name;
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license = lib.licenses.unfree;
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platforms = lib.optionals (lib.hasAttr arch attrs) [ "x86_64-linux" ];
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};
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}
|
32
pkgs/development/compilers/cudatoolkit/redist/extension.nix
Normal file
32
pkgs/development/compilers/cudatoolkit/redist/extension.nix
Normal file
|
@ -0,0 +1,32 @@
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final: prev: let
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inherit (final) callPackage;
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inherit (prev) cudaVersion lib pkgs;
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### Cuda Toolkit Redist
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# Manifest files for redist cudatoolkit. These can be found at
|
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# https://developer.download.nvidia.com/compute/cuda/redist/
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cudaToolkitRedistManifests = {
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"11.4" = ./manifests/redistrib_11.4.4.json;
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"11.5" = ./manifests/redistrib_11.5.2.json;
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"11.6" = ./manifests/redistrib_11.6.2.json;
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||||
};
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# Function to build a single cudatoolkit redist package
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buildCudaToolkitRedistPackage = callPackage ./build-cuda-redist-package.nix { };
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# Function that builds all cudatoolkit redist packages given a cuda version and manifest file
|
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buildCudaToolkitRedistPackages = { version, manifest }: let
|
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attrs = lib.filterAttrs (key: value: key != "release_date") (lib.importJSON manifest);
|
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in lib.mapAttrs buildCudaToolkitRedistPackage attrs;
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||||
redistExists = cudaToolkitRedistManifests ? "${cudaVersion}";
|
||||
|
||||
# All cudatoolkit redist packages for the current cuda version
|
||||
cudaToolkitRedistPackages = if
|
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lib.hasAttr cudaVersion cudaToolkitRedistManifests
|
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then buildCudaToolkitRedistPackages { version = cudaVersion; manifest = cudaToolkitRedistManifests.${cudaVersion}; }
|
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else {};
|
||||
|
||||
in cudaToolkitRedistPackages
|
|
@ -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",
|
||||
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||||
"linux-ppc64le": {
|
||||
"relative_path": "libcusolver/linux-ppc64le/libcusolver-linux-ppc64le-11.3.4.124-archive.tar.xz",
|
||||
"sha256": "6b9ab64258e970f6966c133dab767db03dac038cf047641fb677ce9334e53262",
|
||||
"md5": "f8b2f8280e8863de318212199fe72494",
|
||||
"size": "78066772"
|
||||
},
|
||||
"linux-sbsa": {
|
||||
"relative_path": "libcusolver/linux-sbsa/libcusolver-linux-sbsa-11.3.4.124-archive.tar.xz",
|
||||
"sha256": "bb0dcef4d8c4e076a724d1a0a7258bffb6e9a9c49357716ed70466b3403eb4e3",
|
||||
"md5": "8fced4d6324195575d28464026d26125",
|
||||
"size": "77371768"
|
||||
},
|
||||
"windows-x86_64": {
|
||||
"relative_path": "libcusolver/windows-x86_64/libcusolver-windows-x86_64-11.3.4.124-archive.zip",
|
||||
"sha256": "80d602eef188a19779b0beabb6f3fd9f8eb52ce8c8c61d31a792351d85053996",
|
||||
"md5": "123c3e9a0e0933e4c414a28fd382ea7d",
|
||||
"size": "110462365"
|
||||
}
|
||||
},
|
||||
"libcusparse": {
|
||||
"name": "CUDA cuSPARSE",
|
||||
"license": "CUDA Toolkit",
|
||||
"version": "11.7.2.124",
|
||||
"linux-x86_64": {
|
||||
"relative_path": "libcusparse/linux-x86_64/libcusparse-linux-x86_64-11.7.2.124-archive.tar.xz",
|
||||
"sha256": "744affcbe5ecc8ca9438f20cf93e43a1648d682f6badfa4494f76ae26a350edc",
|
||||
"md5": "b663b089be7b8dba687da98ed9fcf1dd",
|
||||
"size": "218747728"
|
||||
},
|
||||
"linux-ppc64le": {
|
||||
"relative_path": "libcusparse/linux-ppc64le/libcusparse-linux-ppc64le-11.7.2.124-archive.tar.xz",
|
||||
"sha256": "97a3abd633cb0c7ce941fdb4f98e82ddd064605c2a864ad4c35eabcca1bfe7c4",
|
||||
"md5": "6468ea649e2cd9be3541abc0b5a9d7a9",
|
||||
"size": "218901148"
|
||||
},
|
||||
"linux-sbsa": {
|
||||
"relative_path": "libcusparse/linux-sbsa/libcusparse-linux-sbsa-11.7.2.124-archive.tar.xz",
|
||||
"sha256": "4962d79be52338c911fb5612bb2f7562aa41bda0ec474fc096524bf9dd762922",
|
||||
"md5": "1c49c2c1b950b4c874f4254490da1b82",
|
||||
"size": "218441052"
|
||||
},
|
||||
"windows-x86_64": {
|
||||
"relative_path": "libcusparse/windows-x86_64/libcusparse-windows-x86_64-11.7.2.124-archive.zip",
|
||||
"sha256": "4c33673bb1de12005b26fbf5139b6b9e25fbf4490839205036e060af27c1f789",
|
||||
"md5": "f32317cca576ab805ec381be38ef225c",
|
||||
"size": "180394097"
|
||||
}
|
||||
},
|
||||
"libnpp": {
|
||||
"name": "CUDA NPP",
|
||||
"license": "CUDA Toolkit",
|
||||
"version": "11.6.3.124",
|
||||
"linux-x86_64": {
|
||||
"relative_path": "libnpp/linux-x86_64/libnpp-linux-x86_64-11.6.3.124-archive.tar.xz",
|
||||
"sha256": "be4afe097cc38eea91ef02aea233db9fa3ba7a31bc115fc287e10812441ee5c2",
|
||||
"md5": "8300ad8d28a906c386f5338187aee660",
|
||||
"size": "165187052"
|
||||
},
|
||||
"linux-ppc64le": {
|
||||
"relative_path": "libnpp/linux-ppc64le/libnpp-linux-ppc64le-11.6.3.124-archive.tar.xz",
|
||||
"sha256": "b55dc9d7e32319a007374cbb191dba1bce1973857a0ae0cc684a4c87e39ac23a",
|
||||
"md5": "86e2f863047db392473fb438a9112206",
|
||||
"size": "165756596"
|
||||
},
|
||||
"linux-sbsa": {
|
||||
"relative_path": "libnpp/linux-sbsa/libnpp-linux-sbsa-11.6.3.124-archive.tar.xz",
|
||||
"sha256": "dd3fbe515b0bca6393de5829fb675f8fae9bfa23f0cd5e94a87643088935aa32",
|
||||
"md5": "e62dd0d88f234764c097f8a112f61d35",
|
||||
"size": "164248860"
|
||||
},
|
||||
"windows-x86_64": {
|
||||
"relative_path": "libnpp/windows-x86_64/libnpp-windows-x86_64-11.6.3.124-archive.zip",
|
||||
"sha256": "647e78458636d462698fbdbd26c99d4956c917a25a7fd6d2e516a7035a52c857",
|
||||
"md5": "bf43f99df8934740762e5dd6e1419198",
|
||||
"size": "125797073"
|
||||
}
|
||||
},
|
||||
"libnvidia_nscq": {
|
||||
"name": "NVIDIA NSCQ API",
|
||||
"license": "NVIDIA Driver",
|
||||
"version": "510.47.03",
|
||||
"linux-x86_64": {
|
||||
"relative_path": "libnvidia_nscq/linux-x86_64/libnvidia_nscq-linux-x86_64-510.47.03-archive.tar.xz",
|
||||
"sha256": "187b07fc6dae26f43bd23276acaf8177f15b32831cde4d21df6abfd6915d30c4",
|
||||
"md5": "d13ca7a0403dd22e9441434b617a2d5f",
|
||||
"size": "316976"
|
||||
}
|
||||
},
|
||||
"libnvjpeg": {
|
||||
"name": "CUDA nvJPEG",
|
||||
"license": "CUDA Toolkit",
|
||||
"version": "11.6.2.124",
|
||||
"linux-x86_64": {
|
||||
"relative_path": "libnvjpeg/linux-x86_64/libnvjpeg-linux-x86_64-11.6.2.124-archive.tar.xz",
|
||||
"sha256": "ed9f4be96412134195aecbe15b281f3ac8e9b954e0fc62df9279169cf0e0f50b",
|
||||
"md5": "dffc64101ced535bf63604421c4afaa8",
|
||||
"size": "2045660"
|
||||
},
|
||||
"linux-ppc64le": {
|
||||
"relative_path": "libnvjpeg/linux-ppc64le/libnvjpeg-linux-ppc64le-11.6.2.124-archive.tar.xz",
|
||||
"sha256": "377f5acfc5c25a983b0c3043b6fb9da7077d4d571481b62b091e162d8d8fe3c5",
|
||||
"md5": "04f6a60f6c53ce31671e2eeda8f0638e",
|
||||
"size": "2077792"
|
||||
},
|
||||
"linux-sbsa": {
|
||||
"relative_path": "libnvjpeg/linux-sbsa/libnvjpeg-linux-sbsa-11.6.2.124-archive.tar.xz",
|
||||
"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
72
pkgs/development/compilers/cudatoolkit/redist/overrides.nix
Normal 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
59
pkgs/development/compilers/cudatoolkit/versions.toml
Normal file
|
@ -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
|
|
@ -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 = [
|
||||
|
|
|
@ -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;
|
||||
|
|
|
@ -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
112
pkgs/development/libraries/science/math/cudnn/extension.nix
Normal 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
|
|
@ -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;
|
||||
|
|
|
@ -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; };
|
||||
}
|
|
@ -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 ];
|
||||
|
|
|
@ -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";
|
||||
|
|
|
@ -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 =
|
||||
|
|
|
@ -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";
|
||||
|
|
|
@ -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;
|
||||
|
|
|
@ -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" ];
|
||||
|
|
|
@ -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";
|
||||
|
||||
|
|
|
@ -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)
|
||||
);
|
||||
|
||||
|
|
|
@ -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";
|
||||
|
|
|
@ -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";
|
||||
|
|
|
@ -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;
|
||||
|
|
|
@ -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";
|
||||
|
|
|
@ -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;
|
||||
};
|
||||
|
|
|
@ -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 ];
|
||||
|
|
|
@ -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"
|
||||
'';
|
||||
|
||||
|
|
|
@ -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
3
pkgs/test/cuda/cuda-library-samples/extension.nix
Normal file
|
@ -0,0 +1,3 @@
|
|||
final: prev: {
|
||||
cuda-library-samples = final.callPackage ./generic.nix { };
|
||||
}
|
|
@ -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;
|
||||
});
|
||||
}
|
||||
|
|
|
@ -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
20
pkgs/test/cuda/cuda-samples/extension.nix
Normal 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;
|
||||
};
|
||||
}
|
|
@ -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
|
||||
|
|
|
@ -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
72
pkgs/top-level/cuda-packages.nix
Normal 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)
|
|
@ -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
55
pkgs/top-level/release-cuda.nix
Normal 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
|
Loading…
Reference in a new issue