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Diffstat (limited to 'nixpkgs/pkgs/development/cuda-modules')
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diff --git a/nixpkgs/pkgs/development/cuda-modules/README.md b/nixpkgs/pkgs/development/cuda-modules/README.md new file mode 100644 index 000000000000..76732c5ddfb3 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/README.md @@ -0,0 +1,97 @@ +# Cuda modules + +> [!NOTE] +> This document is meant to help CUDA maintainers understand the structure of +> the CUDA packages in Nixpkgs. It is not meant to be a user-facing document. +> For a user-facing document, see [the CUDA section of the manual](../../../doc/languages-frameworks/cuda.section.md). + +The files in this directory are added (in some way) to the `cudaPackages` +package set by [cuda-packages.nix](../../top-level/cuda-packages.nix). + +## Top-level files + +Top-level nix files are included in the initial creation of the `cudaPackages` +scope. These are typically required for the creation of the finalized +`cudaPackages` scope: + +- `backend-stdenv.nix`: Standard environment for CUDA packages. +- `flags.nix`: Flags set, or consumed by, NVCC in order to build packages. +- `gpus.nix`: A list of supported NVIDIA GPUs. +- `nvcc-compatibilities.nix`: NVCC releases and the version range of GCC/Clang + they support. + +## Top-level directories + +- `cuda`: CUDA redistributables! Provides extension to `cudaPackages` scope. +- `cudatoolkit`: monolothic CUDA Toolkit run-file installer. Provides extension + to `cudaPackages` scope. +- `cudnn`: NVIDIA cuDNN library. +- `cutensor`: NVIDIA cuTENSOR library. +- `generic-builders`: + - Contains a builder `manifest.nix` which operates on the `Manifest` type + defined in `modules/generic/manifests`. Most packages are built using this + builder. + - Contains a builder `multiplex.nix` which leverages the Manifest builder. In + short, the Multiplex builder adds multiple versions of a single package to + single instance of the CUDA Packages package set. It is used primarily for + packages like `cudnn` and `cutensor`. +- `modules`: Nixpkgs modules to check the shape and content of CUDA + redistributable and feature manifests. These modules additionally use shims + provided by some CUDA packages to allow them to re-use the + `genericManifestBuilder`, even if they don't have manifest files of their + own. `cudnn` and `tensorrt` are examples of packages which provide such + shims. These modules are further described in the + [Modules](./modules/README.md) documentation. +- `nccl`: NVIDIA NCCL library. +- `nccl-tests`: NVIDIA NCCL tests. +- `saxpy`: Example CMake project that uses CUDA. +- `setup-hooks`: Nixpkgs setup hooks for CUDA. +- `tensorrt`: NVIDIA TensorRT library. + +## Distinguished packages + +### Cuda compatibility + +[Cuda Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/), +available as `cudaPackages.cuda_compat`, is a component which makes it possible +to run applications built against a newer CUDA toolkit (for example CUDA 12) on +a machine with an older CUDA driver (for example CUDA 11), which isn't possible +out of the box. At the time of writing, Cuda Compatibility is only available on +the Nvidia Jetson architecture, but Nvidia might release support for more +architectures in the future. + +As Cuda Compatibility strictly increases the range of supported applications, we +try our best to enable it by default on supported platforms. + +#### Functioning + +`cuda_compat` simply provides a new `libcuda.so` (and associated variants) that +needs to be used in place of the default CUDA driver's `libcuda.so`. However, +the other shared libraries of the default driver must still be accessible: +`cuda_compat` isn't a complete drop-in replacement for the driver (and that's +the point, otherwise, it would just be a newer driver). + +Nvidia's recommendation is to set `LD_LIBRARY_PATH` to points to `cuda_compat`'s +driver. This is fine for a manual, one-shot usage, but in general setting +`LD_LIBRARY_PATH` is a red flag. This is global state which short-circuits most +of other dynamic libraries resolution mechanisms and can break things in +non-obvious ways, especially with other Nix-built software. + +#### Cuda compat with Nix + +Since `cuda_compat` is a known derivation, the easy way to do this in Nix would +be to add `cuda_compat` as a dependency of CUDA libraries and applications and +let Nix does its magic by filling the `DT_RUNPATH` fields. However, +`cuda_compat` itself depends on `libnvrm_mem` and `libnvrm_gpu` which are loaded +dynamically at runtime from `/run/opengl-driver`. This doesn't please the Nix +sandbox when building, which can't find those (a second minor issue is that +`addOpenGLRunpathHook` prepends the `/run/opengl-driver` path, so that would +still take precedence). + +The current solution is to do something similar to `addOpenGLRunpathHook`: the +`addCudaCompatRunpathHook` prepends to the path to `cuda_compat`'s `libcuda.so` +to the `DT_RUNPATH` of whichever package includes the hook as a dependency, and +we include the hook by default for packages in `cudaPackages` (by adding it as a +inputs in `genericManifestBuilder`). We also make sure it's included after +`addOpenGLRunpathHook`, so that it appears _before_ in the `DT_RUNPATH` and +takes precedence. diff --git a/nixpkgs/pkgs/development/cuda-modules/backend-stdenv.nix b/nixpkgs/pkgs/development/cuda-modules/backend-stdenv.nix new file mode 100644 index 000000000000..10fedd1e6f27 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/backend-stdenv.nix @@ -0,0 +1,39 @@ +{ + lib, + nvccCompatibilities, + cudaVersion, + buildPackages, + overrideCC, + stdenv, + wrapCCWith, +}: +let + gccMajorVersion = nvccCompatibilities.${cudaVersion}.gccMaxMajorVersion; + # We use buildPackages (= pkgsBuildHost) because we look for a gcc that + # runs on our build platform, and that produces executables for the host + # platform (= platform on which we deploy and run the downstream packages). + # The target platform of buildPackages.gcc is our host platform, so its + # .lib output should be the libstdc++ we want to be writing in the runpaths + # Cf. https://github.com/NixOS/nixpkgs/pull/225661#discussion_r1164564576 + nixpkgsCompatibleLibstdcxx = buildPackages.gcc.cc.lib; + nvccCompatibleCC = buildPackages."gcc${gccMajorVersion}".cc; + + cc = wrapCCWith { + cc = nvccCompatibleCC; + + # This option is for clang's libcxx, but we (ab)use it for gcc's libstdc++. + # Note that libstdc++ maintains forward-compatibility: if we load a newer + # libstdc++ into the process, we can still use libraries built against an + # older libstdc++. This, in practice, means that we should use libstdc++ from + # the same stdenv that the rest of nixpkgs uses. + # We currently do not try to support anything other than gcc and linux. + libcxx = nixpkgsCompatibleLibstdcxx; + }; + cudaStdenv = overrideCC stdenv cc; + passthruExtra = { + inherit nixpkgsCompatibleLibstdcxx; + # cc already exposed + }; + assertCondition = true; +in +lib.extendDerivation assertCondition passthruExtra cudaStdenv diff --git a/nixpkgs/pkgs/development/cuda-modules/cuda/extension.nix b/nixpkgs/pkgs/development/cuda-modules/cuda/extension.nix new file mode 100644 index 000000000000..dff79c1ee55f --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cuda/extension.nix @@ -0,0 +1,102 @@ +{cudaVersion, lib}: +let + inherit (lib) attrsets modules trivial; + redistName = "cuda"; + + # Manifest files for CUDA redistributables (aka redist). These can be found at + # https://developer.download.nvidia.com/compute/cuda/redist/ + # Maps a cuda version to the specific version of the manifest. + cudaVersionMap = { + "11.4" = "11.4.4"; + "11.5" = "11.5.2"; + "11.6" = "11.6.2"; + "11.7" = "11.7.1"; + "11.8" = "11.8.0"; + "12.0" = "12.0.1"; + "12.1" = "12.1.1"; + "12.2" = "12.2.2"; + "12.3" = "12.3.0"; + }; + + # Check if the current CUDA version is supported. + cudaVersionMappingExists = builtins.hasAttr cudaVersion cudaVersionMap; + + # fullCudaVersion : String + fullCudaVersion = cudaVersionMap.${cudaVersion}; + + evaluatedModules = modules.evalModules { + modules = [ + ../modules + # We need to nest the manifests in a config.cuda.manifests attribute so the + # module system can evaluate them. + { + cuda.manifests = { + redistrib = trivial.importJSON (./manifests + "/redistrib_${fullCudaVersion}.json"); + feature = trivial.importJSON (./manifests + "/feature_${fullCudaVersion}.json"); + }; + } + ]; + }; + + # Generally we prefer to do things involving getting attribute names with feature_manifest instead + # of redistrib_manifest because the feature manifest will have *only* the redist architecture + # names as the keys, whereas the redistrib manifest will also have things like version, name, license, + # and license_path. + featureManifest = evaluatedModules.config.cuda.manifests.feature; + redistribManifest = evaluatedModules.config.cuda.manifests.redistrib; + + # Builder function which builds a single redist package for a given platform. + # buildRedistPackage : callPackage -> PackageName -> Derivation + buildRedistPackage = + callPackage: pname: + let + redistribRelease = redistribManifest.${pname}; + featureRelease = featureManifest.${pname}; + drv = + (callPackage ../generic-builders/manifest.nix { + # We pass the whole release to the builder because it has logic to handle + # the case we're trying to build on an unsupported platform. + inherit + pname + redistName + redistribRelease + featureRelease + ; + }).overrideAttrs + ( + prevAttrs: { + # Add the package-specific license. + meta = prevAttrs.meta // { + license = + let + licensePath = + if redistribRelease.license_path != null then + redistribRelease.license_path + else + "${pname}/LICENSE.txt"; + url = "https://developer.download.nvidia.com/compute/cuda/redist/${licensePath}"; + in + lib.licenses.nvidiaCudaRedist // {inherit url;}; + }; + } + ); + in + drv; + + # Build all the redist packages given final and prev. + redistPackages = + final: _prev: + # Wrap the whole thing in an optionalAttrs so we can return an empty set if the CUDA version + # is not supported. + # NOTE: We cannot include the call to optionalAttrs *in* the pipe as we would strictly evaluate the + # attrNames before we check if the CUDA version is supported. + attrsets.optionalAttrs cudaVersionMappingExists ( + trivial.pipe featureManifest [ + # Get all the package names + builtins.attrNames + # Build the redist packages + (trivial.flip attrsets.genAttrs (buildRedistPackage final.callPackage)) + ] + ); +in +redistPackages diff --git a/nixpkgs/pkgs/development/cuda-modules/cuda/manifests/feature_11.4.4.json b/nixpkgs/pkgs/development/cuda-modules/cuda/manifests/feature_11.4.4.json new file mode 100644 index 000000000000..d7c6cebca22f --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cuda/manifests/feature_11.4.4.json @@ -0,0 +1,1212 @@ +{ + "cuda_cccl": { + "linux-ppc64le": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + }, + "linux-sbsa": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + }, + "linux-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + }, + "windows-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + }, + "cuda_cudart": { + "linux-ppc64le": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-sbsa": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "windows-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + }, + "cuda_cuobjdump": { + "linux-ppc64le": { + "outputs": { + "bin": true, + "dev": false, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + }, + "linux-sbsa": { + "outputs": { + "bin": true, + "dev": false, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + }, + "linux-x86_64": { + "outputs": { + "bin": true, + "dev": false, + "doc": 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"outputs": { + "bin": true, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": true + } + }, + "linux-x86_64": { + "outputs": { + "bin": true, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": true + } + }, + "windows-x86_64": { + "outputs": { + "bin": true, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + }, + "cuda_demo_suite": { + "linux-x86_64": { + "outputs": { + "bin": false, + "dev": false, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + }, + "windows-x86_64": { + "outputs": { + "bin": false, + "dev": false, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + }, + "cuda_documentation": { + "linux-ppc64le": { + "outputs": { + "bin": false, + "dev": false, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + }, + "linux-sbsa": { + "outputs": { + "bin": false, + "dev": false, + "doc": false, + "lib": false, + 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"windows-x86_64": { + "relative_path": "visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-12.3.52-archive.zip", + "sha256": "b801075f82c789ac8014223ca3437ef87e9e0ee700b7b617f4495bcc273b788a", + "md5": "f456d7ab05e574cd8c2a20d8f1efd4e0", + "size": "518070" + } + } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cuda/overrides.nix b/nixpkgs/pkgs/development/cuda-modules/cuda/overrides.nix new file mode 100644 index 000000000000..fd32978bfb59 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cuda/overrides.nix @@ -0,0 +1,129 @@ +{cudaVersion, lib}: +let + inherit (lib) attrsets lists strings; + # cudaVersionOlder : Version -> Boolean + cudaVersionOlder = strings.versionOlder cudaVersion; + # cudaVersionAtLeast : Version -> Boolean + cudaVersionAtLeast = strings.versionAtLeast cudaVersion; + + addBuildInputs = + drv: buildInputs: + drv.overrideAttrs (prevAttrs: {buildInputs = prevAttrs.buildInputs ++ buildInputs;}); +in +# NOTE: Filter out attributes that are not present in the previous version of +# the package set. This is necessary to prevent the appearance of attributes +# like `cuda_nvcc` in `cudaPackages_10_0, which predates redistributables. +final: prev: +attrsets.filterAttrs (attr: _: (builtins.hasAttr attr prev)) { + libcufile = prev.libcufile.overrideAttrs ( + prevAttrs: { + buildInputs = prevAttrs.buildInputs ++ [ + final.libcublas.lib + final.pkgs.numactl + final.pkgs.rdma-core + ]; + # Before 11.7 libcufile depends on itself for some reason. + env.autoPatchelfIgnoreMissingDeps = + prevAttrs.env.autoPatchelfIgnoreMissingDeps + + strings.optionalString (cudaVersionOlder "11.7") " libcufile.so.0"; + } + ); + + libcusolver = addBuildInputs prev.libcusolver ( + # Always depends on this + [final.libcublas.lib] + # Dependency from 12.0 and on + ++ lists.optionals (cudaVersionAtLeast "12.0") [final.libnvjitlink.lib] + # Dependency from 12.1 and on + ++ lists.optionals (cudaVersionAtLeast "12.1") [final.libcusparse.lib] + ); + + libcusparse = addBuildInputs prev.libcusparse ( + lists.optionals (cudaVersionAtLeast "12.0") [final.libnvjitlink.lib] + ); + + cuda_compat = prev.cuda_compat.overrideAttrs ( + prevAttrs: { + env.autoPatchelfIgnoreMissingDeps = + prevAttrs.env.autoPatchelfIgnoreMissingDeps + " libnvrm_gpu.so libnvrm_mem.so libnvdla_runtime.so"; + # `cuda_compat` only works on aarch64-linux, and only when building for Jetson devices. + brokenConditions = prevAttrs.brokenConditions // { + "Trying to use cuda_compat on aarch64-linux targeting non-Jetson devices" = + !final.flags.isJetsonBuild; + }; + } + ); + + cuda_gdb = addBuildInputs prev.cuda_gdb ( + # x86_64 only needs gmp from 12.0 and on + lists.optionals (cudaVersionAtLeast "12.0") [final.pkgs.gmp] + ); + + cuda_nvcc = prev.cuda_nvcc.overrideAttrs ( + oldAttrs: { + propagatedBuildInputs = [final.setupCudaHook]; + + meta = (oldAttrs.meta or {}) // { + mainProgram = "nvcc"; + }; + } + ); + + cuda_nvprof = prev.cuda_nvprof.overrideAttrs ( + prevAttrs: {buildInputs = prevAttrs.buildInputs ++ [final.cuda_cupti.lib];} + ); + + cuda_demo_suite = addBuildInputs prev.cuda_demo_suite [ + final.pkgs.freeglut + final.pkgs.libGLU + final.pkgs.libglvnd + final.pkgs.mesa + final.libcufft.lib + final.libcurand.lib + ]; + + nsight_compute = prev.nsight_compute.overrideAttrs ( + prevAttrs: { + nativeBuildInputs = + prevAttrs.nativeBuildInputs + ++ ( + if (strings.versionOlder prev.nsight_compute.version "2022.2.0") then + [final.pkgs.qt5.wrapQtAppsHook] + else + [final.pkgs.qt6.wrapQtAppsHook] + ); + buildInputs = + prevAttrs.buildInputs + ++ ( + if (strings.versionOlder prev.nsight_compute.version "2022.2.0") then + [final.pkgs.qt5.qtwebview] + else + [final.pkgs.qt6.qtwebview] + ); + } + ); + + nsight_systems = prev.nsight_systems.overrideAttrs ( + prevAttrs: { + nativeBuildInputs = prevAttrs.nativeBuildInputs ++ [final.pkgs.qt5.wrapQtAppsHook]; + buildInputs = prevAttrs.buildInputs ++ [ + final.pkgs.alsa-lib + final.pkgs.e2fsprogs + final.pkgs.nss + final.pkgs.numactl + final.pkgs.pulseaudio + final.pkgs.wayland + final.pkgs.xorg.libXcursor + final.pkgs.xorg.libXdamage + final.pkgs.xorg.libXrandr + final.pkgs.xorg.libXtst + ]; + } + ); + + nvidia_driver = prev.nvidia_driver.overrideAttrs { + # No need to support this package as we have drivers already + # in linuxPackages. + meta.broken = true; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cudatoolkit/default.nix b/nixpkgs/pkgs/development/cuda-modules/cudatoolkit/default.nix new file mode 100644 index 000000000000..de216c24bb67 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cudatoolkit/default.nix @@ -0,0 +1,403 @@ +{ + cudaVersion, + runPatches ? [], + autoPatchelfHook, + autoAddOpenGLRunpathHook, + addOpenGLRunpath, + alsa-lib, + curlMinimal, + expat, + fetchurl, + fontconfig, + freetype, + gdk-pixbuf, + glib, + glibc, + gst_all_1, + gtk2, + lib, + libxkbcommon, + libkrb5, + krb5, + makeWrapper, + markForCudatoolkitRootHook, + ncurses5, + numactl, + nss, + patchelf, + perl, + python3, # FIXME: CUDAToolkit 10 may still need python27 + pulseaudio, + setupCudaHook, + stdenv, + backendStdenv, # E.g. gcc11Stdenv, set in extension.nix + unixODBC, + wayland, + xorg, + zlib, + freeglut, + libGLU, + libsForQt5, + libtiff, + qt6Packages, + qt6, + rdma-core, + ucx, + rsync, +}: + +let + # Version info for the classic cudatoolkit packages that contain everything that is in redist. + releases = builtins.import ./releases.nix; + release = releases.${cudaVersion}; +in + +backendStdenv.mkDerivation rec { + pname = "cudatoolkit"; + inherit (release) version; + inherit runPatches; + + dontPatchELF = true; + dontStrip = true; + + src = fetchurl {inherit (release) url sha256;}; + + outputs = [ + "out" + "lib" + "doc" + ]; + + nativeBuildInputs = + [ + perl + makeWrapper + rsync + addOpenGLRunpath + autoPatchelfHook + autoAddOpenGLRunpathHook + markForCudatoolkitRootHook + ] + ++ lib.optionals (lib.versionOlder version "11") [libsForQt5.wrapQtAppsHook] + ++ lib.optionals (lib.versionAtLeast version "11.8") [qt6Packages.wrapQtAppsHook]; + propagatedBuildInputs = [setupCudaHook]; + buildInputs = + lib.optionals (lib.versionOlder version "11") [ + libsForQt5.qt5.qtwebengine + freeglut + libGLU + ] + ++ [ + # To get $GDK_PIXBUF_MODULE_FILE via setup-hook + gdk-pixbuf + + # For autoPatchelf + ncurses5 + expat + python3 + zlib + glibc + xorg.libX11 + xorg.libXext + xorg.libXrender + xorg.libXt + xorg.libXtst + xorg.libXi + xorg.libXext + xorg.libXdamage + xorg.libxcb + xorg.xcbutilimage + xorg.xcbutilrenderutil + xorg.xcbutilwm + xorg.xcbutilkeysyms + pulseaudio + libxkbcommon + libkrb5 + krb5 + gtk2 + glib + fontconfig + freetype + numactl + nss + unixODBC + alsa-lib + wayland + ] + ++ lib.optionals (lib.versionAtLeast version "11.8") [ + (lib.getLib libtiff) + qt6Packages.qtwayland + rdma-core + (ucx.override {enableCuda = false;}) # Avoid infinite recursion + xorg.libxshmfence + xorg.libxkbfile + ] + ++ (lib.optionals (lib.versionAtLeast version "12") ( + map lib.getLib ([ + # Used by `/target-linux-x64/CollectX/clx` and `/target-linux-x64/CollectX/libclx_api.so` for: + # - `libcurl.so.4` + curlMinimal + + # Used by `/host-linux-x64/Scripts/WebRTCContainer/setup/neko/server/bin/neko` + gst_all_1.gstreamer + gst_all_1.gst-plugins-base + ]) + ++ ( + with qt6; [ + qtmultimedia + qttools + qtpositioning + qtscxml + qtsvg + qtwebchannel + qtwebengine + ] + ) + )); + + # Prepended to runpaths by autoPatchelf. + # The order inherited from older rpath preFixup code + runtimeDependencies = [ + (placeholder "lib") + (placeholder "out") + "${placeholder "out"}/nvvm" + # NOTE: use the same libstdc++ as the rest of nixpkgs, not from backendStdenv + "${lib.getLib stdenv.cc.cc}/lib64" + "${placeholder "out"}/jre/lib/amd64/jli" + "${placeholder "out"}/lib64" + "${placeholder "out"}/nvvm/lib64" + ]; + + autoPatchelfIgnoreMissingDeps = [ + # This is the hardware-dependent userspace driver that comes from + # nvidia_x11 package. It must be deployed at runtime in + # /run/opengl-driver/lib or pointed at by LD_LIBRARY_PATH variable, rather + # than pinned in runpath + "libcuda.so.1" + + # The krb5 expression ships libcom_err.so.3 but cudatoolkit asks for the + # older + # This dependency is asked for by target-linux-x64/CollectX/RedHat/x86_64/libssl.so.10 + # - do we even want to use nvidia-shipped libssl? + "libcom_err.so.2" + ]; + + preFixup = + if lib.versionOlder version "11" then + '' + ${lib.getExe' patchelf "patchelf"} $out/targets/*/lib/libnvrtc.so --add-needed libnvrtc-builtins.so + '' + else + '' + ${lib.getExe' patchelf "patchelf"} $out/lib64/libnvrtc.so --add-needed libnvrtc-builtins.so + ''; + + unpackPhase = '' + sh $src --keep --noexec + + ${lib.optionalString (lib.versionOlder version "10.1") '' + cd pkg/run_files + sh cuda-linux*.run --keep --noexec + sh cuda-samples*.run --keep --noexec + mv pkg ../../$(basename $src) + cd ../.. + rm -rf pkg + + for patch in $runPatches; do + sh $patch --keep --noexec + mv pkg $(basename $patch) + done + ''} + ''; + + installPhase = + '' + runHook preInstall + mkdir $out + ${lib.optionalString (lib.versionOlder version "10.1") '' + cd $(basename $src) + export PERL5LIB=. + perl ./install-linux.pl --prefix="$out" + cd .. + for patch in $runPatches; do + cd $(basename $patch) + perl ./install_patch.pl --silent --accept-eula --installdir="$out" + cd .. + done + ''} + ${lib.optionalString (lib.versionAtLeast version "10.1" && lib.versionOlder version "11") '' + cd pkg/builds/cuda-toolkit + mv * $out/ + ''} + ${lib.optionalString (lib.versionAtLeast version "11") '' + mkdir -p $out/bin $out/lib64 $out/include $doc + for dir in pkg/builds/* pkg/builds/cuda_nvcc/nvvm pkg/builds/cuda_cupti/extras/CUPTI; do + if [ -d $dir/bin ]; then + mv $dir/bin/* $out/bin + fi + if [ -d $dir/doc ]; then + (cd $dir/doc && find . -type d -exec mkdir -p $doc/\{} \;) + (cd $dir/doc && find . \( -type f -o -type l \) -exec mv \{} $doc/\{} \;) + fi + if [ -L $dir/include ] || [ -d $dir/include ]; then + (cd $dir/include && find . -type d -exec mkdir -p $out/include/\{} \;) + (cd $dir/include && find . \( -type f -o -type l \) -exec mv \{} $out/include/\{} \;) + fi + if [ -L $dir/lib64 ] || [ -d $dir/lib64 ]; then + (cd $dir/lib64 && find . -type d -exec mkdir -p $out/lib64/\{} \;) + (cd $dir/lib64 && find . \( -type f -o -type l \) -exec mv \{} $out/lib64/\{} \;) + fi + done + mv pkg/builds/cuda_nvcc/nvvm $out/nvvm + + mv pkg/builds/cuda_sanitizer_api $out/cuda_sanitizer_api + ln -s $out/cuda_sanitizer_api/compute-sanitizer/compute-sanitizer $out/bin/compute-sanitizer + + mv pkg/builds/nsight_systems/target-linux-x64 $out/target-linux-x64 + mv pkg/builds/nsight_systems/host-linux-x64 $out/host-linux-x64 + rm $out/host-linux-x64/libstdc++.so* + ''} + ${ + lib.optionalString (lib.versionAtLeast version "11.8" && lib.versionOlder version "12") + # error: auto-patchelf could not satisfy dependency libtiff.so.5 wanted by /nix/store/.......-cudatoolkit-12.0.1/host-linux-x64/Plugins/imageformats/libqtiff.so + # we only ship libtiff.so.6, so let's use qt plugins built by Nix. + # TODO: don't copy, come up with a symlink-based "merge" + '' + rsync ${lib.getLib qt6Packages.qtimageformats}/lib/qt-6/plugins/ $out/host-linux-x64/Plugins/ -aP + '' + } + ${ + lib.optionalString (lib.versionAtLeast version "12") + # Use Qt plugins built by Nix. + '' + for qtlib in $out/host-linux-x64/Plugins/*/libq*.so; do + qtdir=$(basename $(dirname $qtlib)) + filename=$(basename $qtlib) + for qtpkgdir in ${lib.concatMapStringsSep " " (x: qt6Packages.${x}) ["qtbase" "qtimageformats" "qtsvg" "qtwayland"]}; do + if [ -e $qtpkgdir/lib/qt-6/plugins/$qtdir/$filename ]; then + ln -snf $qtpkgdir/lib/qt-6/plugins/$qtdir/$filename $qtlib + fi + done + done + '' + } + + rm -f $out/tools/CUDA_Occupancy_Calculator.xls # FIXME: why? + + ${lib.optionalString (lib.versionOlder version "10.1") '' + # let's remove the 32-bit libraries, they confuse the lib64->lib mover + rm -rf $out/lib + ''} + + ${lib.optionalString (lib.versionAtLeast version "12.0") '' + rm $out/host-linux-x64/libQt6* + ''} + + # Remove some cruft. + ${lib.optionalString ((lib.versionAtLeast version "7.0") && (lib.versionOlder version "10.1")) + "rm $out/bin/uninstall*"} + + # Fixup path to samples (needed for cuda 6.5 or else nsight will not find them) + if [ -d "$out"/cuda-samples ]; then + mv "$out"/cuda-samples "$out"/samples + fi + + # Change the #error on GCC > 4.9 to a #warning. + sed -i $out/include/host_config.h -e 's/#error\(.*unsupported GNU version\)/#warning\1/' + + # Fix builds with newer glibc version + sed -i "1 i#define _BITS_FLOATN_H" "$out/include/host_defines.h" + '' + + + # Point NVCC at a compatible compiler + # CUDA_TOOLKIT_ROOT_DIR is legacy, + # Cf. https://cmake.org/cmake/help/latest/module/FindCUDA.html#input-variables + '' + mkdir -p $out/nix-support + cat <<EOF >> $out/nix-support/setup-hook + cmakeFlags+=' -DCUDA_TOOLKIT_ROOT_DIR=$out' + EOF + + # Move some libraries to the lib output so that programs that + # depend on them don't pull in this entire monstrosity. + mkdir -p $lib/lib + mv -v $out/lib64/libcudart* $lib/lib/ + + # Remove OpenCL libraries as they are provided by ocl-icd and driver. + rm -f $out/lib64/libOpenCL* + ${lib.optionalString (lib.versionAtLeast version "10.1" && (lib.versionOlder version "11")) '' + mv $out/lib64 $out/lib + mv $out/extras/CUPTI/lib64/libcupti* $out/lib + ''} + + # nvprof do not find any program to profile if LD_LIBRARY_PATH is not set + wrapProgram $out/bin/nvprof \ + --prefix LD_LIBRARY_PATH : $out/lib + '' + + lib.optionalString (lib.versionOlder version "8.0") '' + # Hack to fix building against recent Glibc/GCC. + echo "NIX_CFLAGS_COMPILE+=' -D_FORCE_INLINES'" >> $out/nix-support/setup-hook + '' + # 11.8 includes a broken symlink, include/include, pointing to targets/x86_64-linux/include + + lib.optionalString (lib.versions.majorMinor version == "11.8") '' + rm $out/include/include + '' + + '' + runHook postInstall + ''; + + postInstall = '' + for b in nvvp ${lib.optionalString (lib.versionOlder version "11") "nsight"}; do + wrapProgram "$out/bin/$b" \ + --set GDK_PIXBUF_MODULE_FILE "$GDK_PIXBUF_MODULE_FILE" + done + ${ + lib.optionalString (lib.versionAtLeast version "12") + # Check we don't have any lurking vendored qt libraries that weren't + # replaced during installPhase + '' + qtlibfiles=$(find $out -name "libq*.so" -type f) + if [ ! -z "$qtlibfiles" ]; then + echo "Found unexpected vendored Qt library files in $out" >&2 + echo $qtlibfiles >&2 + echo "These should be replaced with symlinks in installPhase" >&2 + exit 1 + fi + '' + } + ''; + + # cuda-gdb doesn't run correctly when not using sandboxing, so + # temporarily disabling the install check. This should be set to true + # when we figure out how to get `cuda-gdb --version` to run correctly + # when not using sandboxing. + doInstallCheck = false; + postInstallCheck = '' + # Smoke test binaries + pushd $out/bin + for f in *; do + case $f in + crt) continue;; + nvcc.profile) continue;; + nsight_ee_plugins_manage.sh) continue;; + uninstall_cuda_toolkit_6.5.pl) continue;; + computeprof|nvvp|nsight) continue;; # GUIs don't feature "--version" + *) echo "Executing '$f --version':"; ./$f --version;; + esac + done + popd + ''; + passthru = { + inherit (backendStdenv) cc; + majorMinorVersion = lib.versions.majorMinor version; + majorVersion = lib.versions.majorMinor version; + }; + + meta = with lib; { + description = "A compiler for NVIDIA GPUs, math libraries, and tools"; + homepage = "https://developer.nvidia.com/cuda-toolkit"; + platforms = ["x86_64-linux"]; + license = licenses.nvidiaCuda; + maintainers = teams.cuda.members; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cudatoolkit/releases.nix b/nixpkgs/pkgs/development/cuda-modules/cudatoolkit/releases.nix new file mode 100644 index 000000000000..d1f7bf9a12ff --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cudatoolkit/releases.nix @@ -0,0 +1,108 @@ +# Type Aliases +# CudaVersion = String (two-component version, e.g. "10.0") +# Release = { +# version: String +# - The version of CUDA. +# url: String +# - The URL to download the CUDA installer from. +# sha256: String +# - The SHA256 checksum of the CUDA installer. +# } +# Releases = AttrSet CudaVersion Release +{ + "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"; + }; + + "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"; + }; + + "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"; + }; + + "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"; + }; + + "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"; + }; + + "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="; + }; + + "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"; + }; + + "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="; + }; + + "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="; + }; + + "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="; + }; + + "11.7" = { + version = "11.7.0"; + url = "https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run"; + sha256 = "sha256-CH/fy7ofeVQ7H3jkOo39rF9tskLQQt3oIOFtwYWJLyY="; + }; + + "11.8" = { + version = "11.8.0"; + url = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"; + sha256 = "sha256-kiPErzrr5Ke77Zq9mxY7A6GzS4VfvCtKDRtwasCaWhY="; + }; + + "12.0" = { + version = "12.0.1"; + url = "https://developer.download.nvidia.com/compute/cuda/12.0.1/local_installers/cuda_12.0.1_525.85.12_linux.run"; + sha256 = "sha256-GyBaBicvFGP0dydv2rkD8/ZmkXwGjlIHOAAeacehh1s="; + }; + + "12.1" = { + version = "12.1.1"; + url = "https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run"; + sha256 = "sha256-10Ai1B2AEFMZ36Ib7qObd6W5kZU5wEh6BcqvJEbWpw4="; + }; + + "12.2" = { + version = "12.2.0"; + url = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"; + sha256 = "sha256-7PPSr63LrAKfD0UFeFgQ1S0AbkuHunn/P5hDNqK79Rg="; + }; + + "12.3" = { + version = "12.3.0"; + url = "https://developer.download.nvidia.com/compute/cuda/12.3.0/local_installers/cuda_12.3.0_545.23.06_linux.run"; + sha256 = "sha256-fBP6zjr2TW4WSNbjEB0xyBEedHFDrLAHfZc8FpCCBCI="; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cudnn/fixup.nix b/nixpkgs/pkgs/development/cuda-modules/cudnn/fixup.nix new file mode 100644 index 000000000000..1fb5a6ad015e --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cudnn/fixup.nix @@ -0,0 +1,69 @@ +{ + cudaVersion, + fetchurl, + final, + lib, + package, + patchelf, + zlib, + ... +}: +let + inherit (lib) + lists + maintainers + meta + strings + ; +in +finalAttrs: prevAttrs: { + src = fetchurl {inherit (package) url hash;}; + + # Useful for inspecting why something went wrong. + brokenConditions = + let + cudaTooOld = strings.versionOlder cudaVersion package.minCudaVersion; + cudaTooNew = + (package.maxCudaVersion != null) && strings.versionOlder package.maxCudaVersion cudaVersion; + in + prevAttrs.brokenConditions + // { + "CUDA version is too old" = cudaTooOld; + "CUDA version is too new" = cudaTooNew; + }; + + buildInputs = + prevAttrs.buildInputs + ++ [zlib] + ++ lists.optionals finalAttrs.passthru.useCudatoolkitRunfile [final.cudatoolkit] + ++ lists.optionals (!finalAttrs.passthru.useCudatoolkitRunfile) [final.libcublas.lib]; + + # Tell autoPatchelf about runtime dependencies. + # NOTE: Versions from CUDNN releases have four components. + postFixup = strings.optionalString (strings.versionAtLeast finalAttrs.version "8.0.5.0") '' + ${meta.getExe' patchelf "patchelf"} $lib/lib/libcudnn.so --add-needed libcudnn_cnn_infer.so + ${meta.getExe' patchelf "patchelf"} $lib/lib/libcudnn_ops_infer.so --add-needed libcublas.so --add-needed libcublasLt.so + ''; + + passthru.useCudatoolkitRunfile = strings.versionOlder cudaVersion "11.3.999"; + + meta = prevAttrs.meta // { + homepage = "https://developer.nvidia.com/cudnn"; + maintainers = + prevAttrs.meta.maintainers + ++ ( + with maintainers; [ + mdaiter + samuela + connorbaker + ] + ); + license = { + shortName = "cuDNN EULA"; + fullName = "NVIDIA cuDNN Software License Agreement (EULA)"; + url = "https://docs.nvidia.com/deeplearning/sdk/cudnn-sla/index.html#supplement"; + free = false; + redistributable = !finalAttrs.passthru.useCudatoolkitRunfile; + }; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cudnn/releases.nix b/nixpkgs/pkgs/development/cuda-modules/cudnn/releases.nix new file mode 100644 index 000000000000..fe1f1f8d91e9 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cudnn/releases.nix @@ -0,0 +1,262 @@ +# NOTE: Check https://docs.nvidia.com/deeplearning/cudnn/archives/index.html for support matrices. +# Version policy is to keep the latest minor release for each major release. +{ + cudnn.releases = { + # jetson + linux-aarch64 = [ + { + version = "8.9.5.30"; + minCudaVersion = "12.0"; + maxCudaVersion = "12.2"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-aarch64/cudnn-linux-aarch64-8.9.5.30_cuda12-archive.tar.xz"; + hash = "sha256-BJH3sC9VwiB362eL8xTB+RdSS9UHz1tlgjm/mKRyM6E="; + } + ]; + # powerpc + linux-ppc64le = []; + # server-grade arm + linux-sbsa = [ + { + version = "8.4.1.50"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.7"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.4.1.50_cuda11.6-archive.tar.xz"; + hash = "sha256-CxufrFt4l04v2qp0hD2xj2Ns6PPZmdYv8qYVuZePw2A="; + } + { + version = "8.5.0.96"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.7"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.5.0.96_cuda11-archive.tar.xz"; + hash = "sha256-hngKu+zUY05zY/rR0ACuI7eQWl+Dg73b9zMsaTR5Hd4="; + } + { + version = "8.6.0.163"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.6.0.163_cuda11-archive.tar.xz"; + hash = "sha256-oCAieNPL1POtw/eBa/9gcWIcsEKwkDaYtHesrIkorAY="; + } + { + version = "8.7.0.84"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.7.0.84_cuda11-archive.tar.xz"; + hash = "sha256-z5Z/eNv2wHUkPMg6oYdZ43DbN1SqFbEqChTov2ejqdQ="; + } + { + version = "8.8.1.3"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.8.1.3_cuda11-archive.tar.xz"; + hash = "sha256-OzWq+aQkmIbZONmWSYyFoZzem3RldoXyJy7GVT6GM1k="; + } + { + version = "8.8.1.3"; + minCudaVersion = "12.0"; + maxCudaVersion = "12.0"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.8.1.3_cuda12-archive.tar.xz"; + hash = "sha256-njl3qhudBuuGC1gqyJM2MGdaAkMCnCWb/sW7VpmGfSA="; + } + { + version = "8.9.7.29"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.9.7.29_cuda11-archive.tar.xz"; + hash = "sha256-kcN8+0WPVBQZ6YUQ8TqvWXXAIyxhPhi3djhUkAdO6hc="; + } + { + version = "8.9.7.29"; + minCudaVersion = "12.0"; + maxCudaVersion = "12.2"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.9.7.29_cuda12-archive.tar.xz"; + hash = "sha256-6Yt8gAEHheXVygHuTOm1sMjHNYfqb4ZIvjTT+NHUe9E="; + } + ]; + # x86_64 + linux-x86_64 = [ + { + version = "7.4.2.24"; + minCudaVersion = "10.0"; + maxCudaVersion = "10.0"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v7.4.2/cudnn-10.0-linux-x64-v7.4.2.24.tgz"; + hash = "sha256-Lt/IagK1DRfojEeJVaMy5qHoF05+U6NFi06lH68C2qM="; + } + { + version = "7.6.5.32"; + minCudaVersion = "10.0"; + maxCudaVersion = "10.0"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v7.6.5/cudnn-10.0-linux-x64-v7.6.5.32.tgz"; + hash = "sha256-KDVeOV8LK5OsLIO2E2CzW6bNA3fkTni+GXtrYbS0kro="; + } + { + version = "7.6.5.32"; + minCudaVersion = "10.1"; + maxCudaVersion = "10.1"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v7.6.5/cudnn-10.1-linux-x64-v7.6.5.32.tgz"; + hash = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLM="; + } + { + version = "7.6.5.32"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v7.6.5/cudnn-10.2-linux-x64-v7.6.5.32.tgz"; + hash = "sha256-YAJn8squ0v1Y6yFLpmnY6jXzlqfRm5SCLms2+fcIjCA='"; + } + { + version = "8.0.5.39"; + minCudaVersion = "10.1"; + maxCudaVersion = "10.1"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-10.1-linux-x64-v8.0.5.39.tgz"; + hash = "sha256-kJCElSmIlrM6qVBjo0cfk8NmJ9esAcF9w211xl7qSgA="; + } + { + version = "8.0.5.39"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-10.2-linux-x64-v8.0.5.39.tgz"; + hash = "sha256-IfhMBcZ78eyFnnfDjM1b8VSWT6HDCPRJlZvkw1bjgvM="; + } + { + version = "8.0.5.39"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.0"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-11.0-linux-x64-v8.0.5.39.tgz"; + hash = "sha256-ThbueJXetKixwZS4ErpJWG730mkCBRQB03F1EYmKm3M="; + } + { + version = "8.0.5.39"; + minCudaVersion = "11.1"; + maxCudaVersion = "11.1"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.0.5/cudnn-11.1-linux-x64-v8.0.5.39.tgz"; + hash = "sha256-HQRr+nk5navMb2yxUHkYdUQ5RC6gyp4Pvs3URvmwDM4="; + } + { + version = "8.1.1.33"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.1/cudnn-10.2-linux-x64-v8.1.1.33.tgz"; + hash = "sha256-Kkp7mabpv6aQ6xm7QeSVU/KnpJGls6v8rpAOFmxbbr0="; + } + { + version = "8.1.1.33"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.2"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.1/cudnn-11.2-linux-x64-v8.1.1.33.tgz"; + hash = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo="; + } + { + version = "8.2.4.15"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.4/cudnn-10.2-linux-x64-v8.2.4.15.tgz"; + hash = "sha256-0jyUoxFaHHcRamwSfZF1+/WfcjNkN08mo0aZB18yIvE="; + } + { + version = "8.2.4.15"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.4"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.2.4/cudnn-11.4-linux-x64-v8.2.4.15.tgz"; + hash = "sha256-Dl0t+JC5ln76ZhnaQhMQ2XMjVlp58FoajLm3Fluq0Nc="; + } + { + version = "8.3.3.40"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.3.3/local_installers/10.2/cudnn-linux-x86_64-8.3.3.40_cuda10.2-archive.tar.xz"; + hash = "sha256-2FVPKzLmKV1fyPOsJeaPlAWLAYyAHaucFD42gS+JJqs="; + } + { + version = "8.3.3.40"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.6"; + url = "https://developer.download.nvidia.com/compute/redist/cudnn/v8.3.3/local_installers/11.5/cudnn-linux-x86_64-8.3.3.40_cuda11.5-archive.tar.xz"; + hash = "sha256-6r6Wx1zwPqT1N5iU2RTx+K4UzqsSGYnoSwg22Sf7dzE="; + } + { + version = "8.4.1.50"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.4.1.50_cuda10.2-archive.tar.xz"; + hash = "sha256-I88qMmU6lIiLVmaPuX7TTbisgTav839mssxUo3lQNjg="; + } + { + version = "8.4.1.50"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.7"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.4.1.50_cuda11.6-archive.tar.xz"; + hash = "sha256-7JbSN22B/KQr3T1MPXBambKaBlurV/kgVhx2PinGfQE="; + } + { + version = "8.5.0.96"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.5.0.96_cuda10-archive.tar.xz"; + hash = "sha256-1mzhbbzR40WKkHnQLtJHhg0vYgf7G8a0OBcCwIOkJjM="; + } + { + version = "8.5.0.96"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.7"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.5.0.96_cuda11-archive.tar.xz"; + hash = "sha256-VFSm/ZTwCHKMqumtrZk8ToXvNjAuJrzkO+p9RYpee20="; + } + { + version = "8.6.0.163"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.6.0.163_cuda10-archive.tar.xz"; + hash = "sha256-t4sr/GrFqqdxu2VhaJQk5K1Xm/0lU4chXG8hVL09R9k="; + } + { + version = "8.6.0.163"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.6.0.163_cuda11-archive.tar.xz"; + hash = "sha256-u8OW30cpTGV+3AnGAGdNYIyxv8gLgtz0VHBgwhcRFZ4="; + } + { + version = "8.7.0.84"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.7.0.84_cuda10-archive.tar.xz"; + hash = "sha256-bZhaqc8+GbPV2FQvvbbufd8VnEJgvfkICc2N3/gitRg="; + } + { + version = "8.7.0.84"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.7.0.84_cuda11-archive.tar.xz"; + hash = "sha256-l2xMunIzyXrnQAavq1Fyl2MAukD1slCiH4z3H1nJ920="; + } + { + version = "8.8.1.3"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.8.1.3_cuda11-archive.tar.xz"; + hash = "sha256-r3WEyuDMVSS1kT7wjCm6YVQRPGDrCjegWQqRtRWoqPk="; + } + { + version = "8.8.1.3"; + minCudaVersion = "12.0"; + maxCudaVersion = "12.0"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.8.1.3_cuda12-archive.tar.xz"; + hash = "sha256-edd6dpx+cXWrx7XC7VxJQUjAYYqGQThyLIh/lcYjd3w="; + } + { + version = "8.9.7.29"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.7.29_cuda11-archive.tar.xz"; + hash = "sha256-o+JQkCjOzaARfOWg9CEGNG6C6G05D0u5R1r8l2x3QC4="; + } + { + version = "8.9.7.29"; + minCudaVersion = "12.0"; + maxCudaVersion = "12.2"; + url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz"; + hash = "sha256-R1MzYlx+QqevPKCy91BqEG4wyTsaoAgc2cE++24h47s="; + } + ]; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cudnn/shims.nix b/nixpkgs/pkgs/development/cuda-modules/cudnn/shims.nix new file mode 100644 index 000000000000..e9eca8ef7c8b --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cudnn/shims.nix @@ -0,0 +1,13 @@ +# Shims to mimic the shape of ../modules/generic/manifests/{feature,redistrib}/release.nix +{package, redistArch}: +{ + featureRelease.${redistArch}.outputs = { + lib = true; + static = true; + dev = true; + }; + redistribRelease = { + name = "NVIDIA CUDA Deep Neural Network library (cuDNN)"; + inherit (package) version; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/extension.nix b/nixpkgs/pkgs/development/cuda-modules/cutensor/extension.nix new file mode 100644 index 000000000000..b762fd22ede8 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/extension.nix @@ -0,0 +1,164 @@ +# Support matrix can be found at +# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-880/support-matrix/index.html +# +# TODO(@connorbaker): +# This is a very similar strategy to CUDA/CUDNN: +# +# - Get all versions supported by the current release of CUDA +# - Build all of them +# - Make the newest the default +# +# Unique twists: +# +# - Instead of providing different releases for each version of CUDA, CuTensor has multiple subdirectories in `lib` +# -- one for each version of CUDA. +{ + cudaVersion, + flags, + hostPlatform, + lib, + mkVersionedPackageName, +}: +let + inherit (lib) + attrsets + lists + modules + versions + strings + trivial + ; + + redistName = "cutensor"; + pname = "libcutensor"; + + cutensorVersions = [ + "1.3.3" + "1.4.0" + "1.5.0" + "1.6.2" + "1.7.0" + ]; + + # Manifests :: { redistrib, feature } + + # Each release of cutensor gets mapped to an evaluated module for that release. + # From there, we can get the min/max CUDA versions supported by that release. + # listOfManifests :: List Manifests + listOfManifests = + let + configEvaluator = + fullCutensorVersion: + modules.evalModules { + modules = [ + ../modules + # We need to nest the manifests in a config.cutensor.manifests attribute so the + # module system can evaluate them. + { + cutensor.manifests = { + redistrib = trivial.importJSON (./manifests + "/redistrib_${fullCutensorVersion}.json"); + feature = trivial.importJSON (./manifests + "/feature_${fullCutensorVersion}.json"); + }; + } + ]; + }; + # Un-nest the manifests attribute set. + releaseGrabber = evaluatedModules: evaluatedModules.config.cutensor.manifests; + in + lists.map + (trivial.flip trivial.pipe [ + configEvaluator + releaseGrabber + ]) + cutensorVersions; + + # Our cudaVersion tells us which version of CUDA we're building against. + # The subdirectories in lib/ tell us which versions of CUDA are supported. + # Typically the names will look like this: + # + # - 10.2 + # - 11 + # - 11.0 + # - 12 + + # libPath :: String + libPath = + let + cudaMajorMinor = versions.majorMinor cudaVersion; + cudaMajor = versions.major cudaVersion; + in + if cudaMajorMinor == "10.2" then cudaMajorMinor else cudaMajor; + + # A release is supported if it has a libPath that matches our CUDA version for our platform. + # LibPath are not constant across the same release -- one platform may support fewer + # CUDA versions than another. + redistArch = flags.getRedistArch hostPlatform.system; + # platformIsSupported :: Manifests -> Boolean + platformIsSupported = + {feature, ...}: + (attrsets.attrByPath + [ + pname + redistArch + ] + null + feature + ) != null; + + # TODO(@connorbaker): With an auxilliary file keeping track of the CUDA versions each release supports, + # we could filter out releases that don't support our CUDA version. + # However, we don't have that currently, so we make a best-effort to try to build TensorRT with whatever + # libPath corresponds to our CUDA version. + # supportedManifests :: List Manifests + supportedManifests = builtins.filter platformIsSupported listOfManifests; + + # Compute versioned attribute name to be used in this package set + # Patch version changes should not break the build, so we only use major and minor + # computeName :: RedistribRelease -> String + computeName = {version, ...}: mkVersionedPackageName redistName version; +in +final: _: +let + # buildCutensorPackage :: Manifests -> AttrSet Derivation + buildCutensorPackage = + {redistrib, feature}: + let + drv = final.callPackage ../generic-builders/manifest.nix { + inherit pname redistName libPath; + redistribRelease = redistrib.${pname}; + featureRelease = feature.${pname}; + }; + fixedDrv = drv.overrideAttrs ( + prevAttrs: { + buildInputs = + prevAttrs.buildInputs + ++ lists.optionals (strings.versionOlder cudaVersion "11.4") [final.cudatoolkit] + ++ lists.optionals (strings.versionAtLeast cudaVersion "11.4") ( + [final.libcublas.lib] + # For some reason, the 1.4.x release of cuTENSOR requires the cudart library. + ++ lists.optionals (strings.hasPrefix "1.4" redistrib.${pname}.version) [final.cuda_cudart.lib] + ); + meta = prevAttrs.meta // { + description = "cuTENSOR: A High-Performance CUDA Library For Tensor Primitives"; + homepage = "https://developer.nvidia.com/cutensor"; + maintainers = prevAttrs.meta.maintainers ++ [lib.maintainers.obsidian-systems-maintenance]; + license = lib.licenses.unfreeRedistributable // { + shortName = "cuTENSOR EULA"; + name = "cuTENSOR SUPPLEMENT TO SOFTWARE LICENSE AGREEMENT FOR NVIDIA SOFTWARE DEVELOPMENT KITS"; + url = "https://docs.nvidia.com/cuda/cutensor/license.html"; + }; + }; + } + ); + in + attrsets.nameValuePair (computeName redistrib.${pname}) fixedDrv; + + extension = + let + nameOfNewest = computeName (lists.last supportedManifests).redistrib.${pname}; + drvs = builtins.listToAttrs (lists.map buildCutensorPackage supportedManifests); + containsDefault = attrsets.optionalAttrs (drvs != {}) {cutensor = drvs.${nameOfNewest};}; + in + drvs // containsDefault; +in +extension diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.3.3.json b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.3.3.json new file mode 100644 index 000000000000..99679aecbc44 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.3.3.json @@ -0,0 +1,44 @@ +{ + "libcutensor": { + "linux-ppc64le": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-sbsa": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "windows-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.4.0.json b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.4.0.json new file mode 100644 index 000000000000..99679aecbc44 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.4.0.json @@ -0,0 +1,44 @@ +{ + "libcutensor": { + "linux-ppc64le": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-sbsa": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "windows-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.5.0.json b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.5.0.json new file mode 100644 index 000000000000..99679aecbc44 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.5.0.json @@ -0,0 +1,44 @@ +{ + "libcutensor": { + "linux-ppc64le": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-sbsa": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "windows-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.6.2.json b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.6.2.json new file mode 100644 index 000000000000..99679aecbc44 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.6.2.json @@ -0,0 +1,44 @@ +{ + "libcutensor": { + "linux-ppc64le": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-sbsa": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "windows-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.7.0.json b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.7.0.json new file mode 100644 index 000000000000..99679aecbc44 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/feature_1.7.0.json @@ -0,0 +1,44 @@ +{ + "libcutensor": { + "linux-ppc64le": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-sbsa": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "linux-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": true, + "sample": false, + "static": true + } + }, + "windows-x86_64": { + "outputs": { + "bin": false, + "dev": true, + "doc": false, + "lib": false, + "sample": false, + "static": false + } + } + } +} diff --git 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"linux-sbsa": { + "relative_path": "libcutensor/linux-sbsa/libcutensor-linux-sbsa-1.3.3.2-archive.tar.xz", + "sha256": "0b62d5305abfdfca4776290f16a1796c78c1fa83b203680c012f37d44706fcdb", + "md5": "e476675490aff0b154f2f38063f0c10b", + "size": "149059520" + }, + "windows-x86_64": { + "relative_path": "libcutensor/windows-x86_64/libcutensor-windows-x86_64-1.3.3.2-archive.zip", + "sha256": "3abeacbe7085af7026ca1399a77c681c219c10a1448a062964e97aaac2b05851", + "md5": "fe75f031c53260c00ad5f7c5d69d31e5", + "size": "374926147" + } + } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.4.0.json b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.4.0.json new file mode 100644 index 000000000000..45008c2d0af9 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.4.0.json @@ -0,0 +1,32 @@ +{ + "release_date": "2021-11-19", + "libcutensor": { + "name": "NVIDIA cuTENSOR", + "license": "cuTensor", + "version": 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"4f01a8aac2c25177e928c63381a80e3342f214ec86ad66965dcbfe81fc5c901d", + "md5": "d21e0d5f2bd8c29251ffacaa85f0d733", + "size": "431385567" + } + } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.5.0.json b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.5.0.json new file mode 100644 index 000000000000..fe1852f261f2 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.5.0.json @@ -0,0 +1,32 @@ +{ + "release_date": "2022-03-08", + "libcutensor": { + "name": "NVIDIA cuTENSOR", + "license": "cuTensor", + "version": "1.5.0.3", + "linux-x86_64": { + "relative_path": "libcutensor/linux-x86_64/libcutensor-linux-x86_64-1.5.0.3-archive.tar.xz", + "sha256": "4fdebe94f0ba3933a422cff3dd05a0ef7a18552ca274dd12564056993f55471d", + "md5": "7e1b1a613b819d6cf6ee7fbc70f16105", + "size": "208925360" + }, + "linux-ppc64le": { + "relative_path": 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/dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.6.2.json @@ -0,0 +1,32 @@ +{ + "release_date": "2022-12-12", + "libcutensor": { + "name": "NVIDIA cuTENSOR", + "license": "cuTensor", + "version": "1.6.2.3", + "linux-x86_64": { + "relative_path": "libcutensor/linux-x86_64/libcutensor-linux-x86_64-1.6.2.3-archive.tar.xz", + "sha256": "0f2745681b1d0556f9f46ff6af4937662793498d7367b5f8f6b8625ac051629e", + "md5": "b84a2f6712e39314f6c54b429152339f", + "size": "538838404" + }, + "linux-ppc64le": { + "relative_path": "libcutensor/linux-ppc64le/libcutensor-linux-ppc64le-1.6.2.3-archive.tar.xz", + "sha256": "558329fa05409f914ebbe218a1cf7c9ccffdb7aa2642b96db85fd78b5ad534d1", + "md5": "8d5d129aa7863312a95084ab5a27b7e7", + "size": "535585612" + }, + "linux-sbsa": { + "relative_path": "libcutensor/linux-sbsa/libcutensor-linux-sbsa-1.6.2.3-archive.tar.xz", + "sha256": "7d4d9088c892bb692ffd70750b49625d1ccbb85390f6eb7c70d6cf582df6d935", + "md5": "f6e0cce3a3b38ced736e55a19da587a3", + "size": "450705724" + }, + "windows-x86_64": { + "relative_path": "libcutensor/windows-x86_64/libcutensor-windows-x86_64-1.6.2.3-archive.zip", + "sha256": "07cb312d7cafc7bb2f33d775e1ef5fffd1703d5c6656e785a7a8f0f01939907e", + "md5": "5ae1c56bf4d457933dc1acb58a4ac995", + "size": "1063805254" + } + } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.7.0.json b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.7.0.json new file mode 100644 index 000000000000..f09abaa62940 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/cutensor/manifests/redistrib_1.7.0.json @@ -0,0 +1,32 @@ +{ + "release_date": "2023-03-16", + "libcutensor": { + "name": "NVIDIA cuTENSOR", + "license": "cuTensor", + "version": "1.7.0.1", + "linux-x86_64": { + "relative_path": "libcutensor/linux-x86_64/libcutensor-linux-x86_64-1.7.0.1-archive.tar.xz", + "sha256": 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a/nixpkgs/pkgs/development/cuda-modules/flags.nix b/nixpkgs/pkgs/development/cuda-modules/flags.nix new file mode 100644 index 000000000000..139952bc9dfd --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/flags.nix @@ -0,0 +1,390 @@ +# Type aliases +# Gpu :: AttrSet +# - See the documentation in ./gpus.nix. +{ + config, + cudaCapabilities ? (config.cudaCapabilities or []), + cudaForwardCompat ? (config.cudaForwardCompat or true), + lib, + cudaVersion, + hostPlatform, + # gpus :: List Gpu + gpus, +}: +let + inherit (lib) + asserts + attrsets + lists + strings + trivial + ; + + # Flags are determined based on your CUDA toolkit by default. You may benefit + # from improved performance, reduced file size, or greater hardware support by + # passing a configuration based on your specific GPU environment. + # + # cudaCapabilities :: List Capability + # List of hardware generations to build. + # E.g. [ "8.0" ] + # Currently, the last item is considered the optional forward-compatibility arch, + # but this may change in the future. + # + # cudaForwardCompat :: Bool + # Whether to include the forward compatibility gencode (+PTX) + # to support future GPU generations. + # E.g. true + # + # Please see the accompanying documentation or https://github.com/NixOS/nixpkgs/pull/205351 + + # isSupported :: Gpu -> Bool + isSupported = + gpu: + let + inherit (gpu) minCudaVersion maxCudaVersion; + lowerBoundSatisfied = strings.versionAtLeast cudaVersion minCudaVersion; + upperBoundSatisfied = + (maxCudaVersion == null) || !(strings.versionOlder maxCudaVersion cudaVersion); + in + lowerBoundSatisfied && upperBoundSatisfied; + + # NOTE: Jetson is never built by default. + # isDefault :: Gpu -> Bool + isDefault = + gpu: + let + inherit (gpu) dontDefaultAfter isJetson; + newGpu = dontDefaultAfter == null; + recentGpu = newGpu || strings.versionAtLeast dontDefaultAfter cudaVersion; + in + recentGpu && !isJetson; + + # supportedGpus :: List Gpu + # GPUs which are supported by the provided CUDA version. + supportedGpus = builtins.filter isSupported gpus; + + # defaultGpus :: List Gpu + # GPUs which are supported by the provided CUDA version and we want to build for by default. + defaultGpus = builtins.filter isDefault supportedGpus; + + # supportedCapabilities :: List Capability + supportedCapabilities = lists.map (gpu: gpu.computeCapability) supportedGpus; + + # defaultCapabilities :: List Capability + # The default capabilities to target, if not overridden by the user. + defaultCapabilities = lists.map (gpu: gpu.computeCapability) defaultGpus; + + # cudaArchNameToVersions :: AttrSet String (List String) + # Maps the name of a GPU architecture to different versions of that architecture. + # For example, "Ampere" maps to [ "8.0" "8.6" "8.7" ]. + cudaArchNameToVersions = + lists.groupBy' (versions: gpu: versions ++ [gpu.computeCapability]) [] (gpu: gpu.archName) + supportedGpus; + + # cudaComputeCapabilityToName :: AttrSet String String + # Maps the version of a GPU architecture to the name of that architecture. + # For example, "8.0" maps to "Ampere". + cudaComputeCapabilityToName = builtins.listToAttrs ( + lists.map (gpu: attrsets.nameValuePair gpu.computeCapability gpu.archName) supportedGpus + ); + + # cudaComputeCapabilityToIsJetson :: AttrSet String Boolean + cudaComputeCapabilityToIsJetson = builtins.listToAttrs ( + lists.map (attrs: attrsets.nameValuePair attrs.computeCapability attrs.isJetson) supportedGpus + ); + + # jetsonComputeCapabilities :: List String + jetsonComputeCapabilities = trivial.pipe cudaComputeCapabilityToIsJetson [ + (attrsets.filterAttrs (_: isJetson: isJetson)) + builtins.attrNames + ]; + + # Find the intersection with the user-specified list of cudaCapabilities. + # NOTE: Jetson devices are never built by default because they cannot be targeted along with + # non-Jetson devices and require an aarch64 host platform. As such, if they're present anywhere, + # they must be in the user-specified cudaCapabilities. + # NOTE: We don't need to worry about mixes of Jetson and non-Jetson devices here -- there's + # sanity-checking for all that in below. + jetsonTargets = lists.intersectLists jetsonComputeCapabilities cudaCapabilities; + + # dropDot :: String -> String + dropDot = ver: builtins.replaceStrings ["."] [""] ver; + + # archMapper :: String -> List String -> List String + # Maps a feature across a list of architecture versions to produce a list of architectures. + # For example, "sm" and [ "8.0" "8.6" "8.7" ] produces [ "sm_80" "sm_86" "sm_87" ]. + archMapper = feat: lists.map (computeCapability: "${feat}_${dropDot computeCapability}"); + + # gencodeMapper :: String -> List String -> List String + # Maps a feature across a list of architecture versions to produce a list of gencode arguments. + # For example, "sm" and [ "8.0" "8.6" "8.7" ] produces [ "-gencode=arch=compute_80,code=sm_80" + # "-gencode=arch=compute_86,code=sm_86" "-gencode=arch=compute_87,code=sm_87" ]. + gencodeMapper = + feat: + lists.map ( + computeCapability: + "-gencode=arch=compute_${dropDot computeCapability},code=${feat}_${dropDot computeCapability}" + ); + + # Maps Nix system to NVIDIA redist arch. + # NOTE: We swap out the default `linux-sbsa` redist (for server-grade ARM chips) with the + # `linux-aarch64` redist (which is for Jetson devices) if we're building any Jetson devices. + # Since both are based on aarch64, we can only have one or the other, otherwise there's an + # ambiguity as to which should be used. + # getRedistArch :: String -> String + getRedistArch = + nixSystem: + if nixSystem == "aarch64-linux" then + if jetsonTargets != [] then "linux-aarch64" else "linux-sbsa" + else if nixSystem == "x86_64-linux" then + "linux-x86_64" + else if nixSystem == "ppc64le-linux" then + "linux-ppc64le" + else if nixSystem == "x86_64-windows" then + "windows-x86_64" + else + builtins.throw "Unsupported Nix system: ${nixSystem}"; + + # Maps NVIDIA redist arch to Nix system. + # It is imperative that we include the boolean condition based on jetsonTargets to ensure + # we don't advertise availability of packages only available on server-grade ARM + # as being available for the Jetson, since both `linux-sbsa` and `linux-aarch64` are + # mapped to the Nix system `aarch64-linux`. + getNixSystem = + redistArch: + if redistArch == "linux-sbsa" && jetsonTargets == [] then + "aarch64-linux" + else if redistArch == "linux-aarch64" && jetsonTargets != [] then + "aarch64-linux" + else if redistArch == "linux-x86_64" then + "x86_64-linux" + else if redistArch == "linux-ppc64le" then + "ppc64le-linux" + else if redistArch == "windows-x86_64" then + "x86_64-windows" + else + builtins.throw "Unsupported NVIDIA redist arch: ${redistArch}"; + + formatCapabilities = + { + cudaCapabilities, + enableForwardCompat ? true, + }: + rec { + inherit cudaCapabilities enableForwardCompat; + + # archNames :: List String + # E.g. [ "Turing" "Ampere" ] + archNames = lists.unique ( + lists.map (cap: cudaComputeCapabilityToName.${cap} or (throw "missing cuda compute capability")) + cudaCapabilities + ); + + # realArches :: List String + # The real architectures are physical architectures supported by the CUDA version. + # E.g. [ "sm_75" "sm_86" ] + realArches = archMapper "sm" cudaCapabilities; + + # virtualArches :: List String + # The virtual architectures are typically used for forward compatibility, when trying to support + # an architecture newer than the CUDA version allows. + # E.g. [ "compute_75" "compute_86" ] + virtualArches = archMapper "compute" cudaCapabilities; + + # arches :: List String + # By default, build for all supported architectures and forward compatibility via a virtual + # architecture for the newest supported architecture. + # E.g. [ "sm_75" "sm_86" "compute_86" ] + arches = realArches ++ lists.optional enableForwardCompat (lists.last virtualArches); + + # gencode :: List String + # A list of CUDA gencode arguments to pass to NVCC. + # E.g. [ "-gencode=arch=compute_75,code=sm_75" ... "-gencode=arch=compute_86,code=compute_86" ] + gencode = + let + base = gencodeMapper "sm" cudaCapabilities; + forward = gencodeMapper "compute" [(lists.last cudaCapabilities)]; + in + base ++ lib.optionals enableForwardCompat forward; + + # gencodeString :: String + # A space-separated string of CUDA gencode arguments to pass to NVCC. + # E.g. "-gencode=arch=compute_75,code=sm_75 ... -gencode=arch=compute_86,code=compute_86" + gencodeString = strings.concatStringsSep " " gencode; + + # Jetson devices cannot be targeted by the same binaries which target non-Jetson devices. While + # NVIDIA provides both `linux-aarch64` and `linux-sbsa` packages, which both target `aarch64`, + # they are built with different settings and cannot be mixed. + # isJetsonBuild :: Boolean + isJetsonBuild = + let + requestedJetsonDevices = + lists.filter (cap: cudaComputeCapabilityToIsJetson.${cap}) + cudaCapabilities; + requestedNonJetsonDevices = + lists.filter (cap: !(builtins.elem cap requestedJetsonDevices)) + cudaCapabilities; + jetsonBuildSufficientCondition = requestedJetsonDevices != []; + jetsonBuildNecessaryCondition = requestedNonJetsonDevices == [] && hostPlatform.isAarch64; + in + trivial.throwIf (jetsonBuildSufficientCondition && !jetsonBuildNecessaryCondition) + '' + Jetson devices cannot be targeted with non-Jetson devices. Additionally, they require hostPlatform to be aarch64. + You requested ${builtins.toJSON cudaCapabilities} for host platform ${hostPlatform.system}. + Requested Jetson devices: ${builtins.toJSON requestedJetsonDevices}. + Requested non-Jetson devices: ${builtins.toJSON requestedNonJetsonDevices}. + Exactly one of the following must be true: + - All CUDA capabilities belong to Jetson devices and hostPlatform is aarch64. + - No CUDA capabilities belong to Jetson devices. + See ${./gpus.nix} for a list of architectures supported by this version of Nixpkgs. + '' + jetsonBuildSufficientCondition + && jetsonBuildNecessaryCondition; + }; +in +# When changing names or formats: pause, validate, and update the assert +assert let + expected = { + cudaCapabilities = [ + "7.5" + "8.6" + ]; + enableForwardCompat = true; + + archNames = [ + "Turing" + "Ampere" + ]; + realArches = [ + "sm_75" + "sm_86" + ]; + virtualArches = [ + "compute_75" + "compute_86" + ]; + arches = [ + "sm_75" + "sm_86" + "compute_86" + ]; + + gencode = [ + "-gencode=arch=compute_75,code=sm_75" + "-gencode=arch=compute_86,code=sm_86" + "-gencode=arch=compute_86,code=compute_86" + ]; + gencodeString = "-gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_86,code=compute_86"; + + isJetsonBuild = false; + }; + actual = formatCapabilities { + cudaCapabilities = [ + "7.5" + "8.6" + ]; + }; + actualWrapped = (builtins.tryEval (builtins.deepSeq actual actual)).value; +in +asserts.assertMsg ((strings.versionAtLeast cudaVersion "11.2") -> (expected == actualWrapped)) '' + This test should only fail when using a version of CUDA older than 11.2, the first to support + 8.6. + Expected: ${builtins.toJSON expected} + Actual: ${builtins.toJSON actualWrapped} +''; +# Check mixed Jetson and non-Jetson devices +assert let + expected = false; + actual = formatCapabilities { + cudaCapabilities = [ + "7.2" + "7.5" + ]; + }; + actualWrapped = (builtins.tryEval (builtins.deepSeq actual actual)).value; +in +asserts.assertMsg (expected == actualWrapped) '' + Jetson devices capabilities cannot be mixed with non-jetson devices. + Capability 7.5 is non-Jetson and should not be allowed with Jetson 7.2. + Expected: ${builtins.toJSON expected} + Actual: ${builtins.toJSON actualWrapped} +''; +# Check Jetson-only +assert let + expected = { + cudaCapabilities = [ + "6.2" + "7.2" + ]; + enableForwardCompat = true; + + archNames = [ + "Pascal" + "Volta" + ]; + realArches = [ + "sm_62" + "sm_72" + ]; + virtualArches = [ + "compute_62" + "compute_72" + ]; + arches = [ + "sm_62" + "sm_72" + "compute_72" + ]; + + gencode = [ + "-gencode=arch=compute_62,code=sm_62" + "-gencode=arch=compute_72,code=sm_72" + "-gencode=arch=compute_72,code=compute_72" + ]; + gencodeString = "-gencode=arch=compute_62,code=sm_62 -gencode=arch=compute_72,code=sm_72 -gencode=arch=compute_72,code=compute_72"; + + isJetsonBuild = true; + }; + actual = formatCapabilities { + cudaCapabilities = [ + "6.2" + "7.2" + ]; + }; + actualWrapped = (builtins.tryEval (builtins.deepSeq actual actual)).value; +in +asserts.assertMsg + # We can't do this test unless we're targeting aarch64 + (hostPlatform.isAarch64 -> (expected == actualWrapped)) + '' + Jetson devices can only be built with other Jetson devices. + Both 6.2 and 7.2 are Jetson devices. + Expected: ${builtins.toJSON expected} + Actual: ${builtins.toJSON actualWrapped} + ''; +{ + # formatCapabilities :: { cudaCapabilities: List Capability, enableForwardCompat: Boolean } -> { ... } + inherit formatCapabilities; + + # cudaArchNameToVersions :: String => String + inherit cudaArchNameToVersions; + + # cudaComputeCapabilityToName :: String => String + inherit cudaComputeCapabilityToName; + + # dropDot :: String -> String + inherit dropDot; + + inherit + defaultCapabilities + supportedCapabilities + jetsonComputeCapabilities + jetsonTargets + getNixSystem + getRedistArch + ; +} +// formatCapabilities { + cudaCapabilities = if cudaCapabilities == [] then defaultCapabilities else cudaCapabilities; + enableForwardCompat = cudaForwardCompat; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/generic-builders/manifest.nix b/nixpkgs/pkgs/development/cuda-modules/generic-builders/manifest.nix new file mode 100644 index 000000000000..71c914c8c8f2 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/generic-builders/manifest.nix @@ -0,0 +1,264 @@ +{ + # General callPackage-supplied arguments + autoAddOpenGLRunpathHook, + autoAddCudaCompatRunpathHook, + autoPatchelfHook, + backendStdenv, + fetchurl, + lib, + lndir, + markForCudatoolkitRootHook, + flags, + stdenv, + hostPlatform, + # Builder-specific arguments + # Short package name (e.g., "cuda_cccl") + # pname : String + pname, + # Common name (e.g., "cutensor" or "cudnn") -- used in the URL. + # Also known as the Redistributable Name. + # redistName : String, + redistName, + # If libPath is non-null, it must be a subdirectory of `lib`. + # The contents of `libPath` will be moved to the root of `lib`. + libPath ? null, + # See ./modules/generic/manifests/redistrib/release.nix + redistribRelease, + # See ./modules/generic/manifests/feature/release.nix + featureRelease, +}: +let + inherit (lib) + attrsets + lists + meta + strings + trivial + licenses + teams + sourceTypes + ; + + # Get the redist architectures for which package provides distributables. + # These are used by meta.platforms. + supportedRedistArchs = builtins.attrNames featureRelease; + redistArch = flags.getRedistArch hostPlatform.system; +in +backendStdenv.mkDerivation ( + finalAttrs: { + # NOTE: Even though there's no actual buildPhase going on here, the derivations of the + # redistributables are sensitive to the compiler flags provided to stdenv. The patchelf package + # is sensitive to the compiler flags provided to stdenv, and we depend on it. As such, we are + # also sensitive to the compiler flags provided to stdenv. + inherit pname; + inherit (redistribRelease) version; + + # Don't force serialization to string for structured attributes, like outputToPatterns + # and brokenConditions. + # Avoids "set cannot be coerced to string" errors. + __structuredAttrs = true; + + # Keep better track of dependencies. + strictDeps = true; + + # NOTE: Outputs are evaluated jointly with meta, so in the case that this is an unsupported platform, + # we still need to provide a list of outputs. + outputs = + let + # Checks whether the redistributable provides an output. + hasOutput = + output: + attrsets.attrByPath + [ + redistArch + "outputs" + output + ] + false + featureRelease; + # Order is important here so we use a list. + additionalOutputs = builtins.filter hasOutput [ + "bin" + "lib" + "static" + "dev" + "doc" + "sample" + "python" + ]; + # The out output is special -- it's the default output and we always include it. + outputs = ["out"] ++ additionalOutputs; + in + outputs; + + # Traversed in the order of the outputs speficied in outputs; + # entries are skipped if they don't exist in outputs. + outputToPatterns = { + bin = ["bin"]; + lib = [ + "lib" + "lib64" + ]; + static = ["**/*.a"]; + sample = ["samples"]; + python = ["**/*.whl"]; + }; + + # Useful for introspecting why something went wrong. + # Maps descriptions of why the derivation would be marked broken to + # booleans indicating whether that description is true. + brokenConditions = {}; + + src = fetchurl { + url = "https://developer.download.nvidia.com/compute/${redistName}/redist/${ + redistribRelease.${redistArch}.relative_path + }"; + inherit (redistribRelease.${redistArch}) sha256; + }; + + # We do need some other phases, like configurePhase, so the multiple-output setup hook works. + dontBuild = true; + + nativeBuildInputs = [ + autoPatchelfHook + # This hook will make sure libcuda can be found + # in typically /lib/opengl-driver by adding that + # directory to the rpath of all ELF binaries. + # Check e.g. with `patchelf --print-rpath path/to/my/binary + autoAddOpenGLRunpathHook + markForCudatoolkitRootHook + ] + # autoAddCudaCompatRunpathHook depends on cuda_compat and would cause + # infinite recursion if applied to `cuda_compat` itself (beside the fact + # that it doesn't make sense in the first place) + ++ lib.optionals (pname != "cuda_compat" && flags.isJetsonBuild) [ + # autoAddCudaCompatRunpathHook must appear AFTER autoAddOpenGLRunpathHook. + # See its documentation in ./setup-hooks/extension.nix. + autoAddCudaCompatRunpathHook + ]; + + buildInputs = + [ + # autoPatchelfHook will search for a libstdc++ and we're giving it + # one that is compatible with the rest of nixpkgs, even when + # nvcc forces us to use an older gcc + # NB: We don't actually know if this is the right thing to do + stdenv.cc.cc.lib + ]; + + # Picked up by autoPatchelf + # Needed e.g. for libnvrtc to locate (dlopen) libnvrtc-builtins + appendRunpaths = ["$ORIGIN"]; + + # NOTE: We don't need to check for dev or doc, because those outputs are handled by + # the multiple-outputs setup hook. + # NOTE: moveToOutput operates on all outputs: + # https://github.com/NixOS/nixpkgs/blob/2920b6fc16a9ed5d51429e94238b28306ceda79e/pkgs/build-support/setup-hooks/multiple-outputs.sh#L105-L107 + installPhase = + let + mkMoveToOutputCommand = + output: + let + template = pattern: ''moveToOutput "${pattern}" "${"$" + output}"''; + patterns = finalAttrs.outputToPatterns.${output} or []; + in + strings.concatMapStringsSep "\n" template patterns; + in + # Pre-install hook + '' + runHook preInstall + '' + # Handle the existence of libPath, which requires us to re-arrange the lib directory + + strings.optionalString (libPath != null) '' + full_lib_path="lib/${libPath}" + if [[ ! -d "$full_lib_path" ]] ; then + echo "${finalAttrs.pname}: '$full_lib_path' does not exist, only found:" >&2 + find lib/ -mindepth 1 -maxdepth 1 >&2 + echo "This release might not support your CUDA version" >&2 + exit 1 + fi + echo "Making libPath '$full_lib_path' the root of lib" >&2 + mv "$full_lib_path" lib_new + rm -r lib + mv lib_new lib + '' + # Create the primary output, out, and move the other outputs into it. + + '' + mkdir -p "$out" + mv * "$out" + '' + # Move the outputs into their respective outputs. + + strings.concatMapStringsSep "\n" mkMoveToOutputCommand (builtins.tail finalAttrs.outputs) + # Add a newline to the end of the installPhase, so that the post-install hook doesn't + # get concatenated with the last moveToOutput command. + + "\n" + # Post-install hook + + '' + runHook postInstall + ''; + + # libcuda needs to be resolved during runtime + # NOTE: Due to the use of __structuredAttrs, we can't use a list for autoPatchelfIgnoreMissingDeps, since it + # will take only the first value. Instead, we produce a string with the values separated by spaces. + # Using the `env` attribute ensures that the value is representable as one of the primitives allowed by + # bash's environment variables. + env.autoPatchelfIgnoreMissingDeps = "libcuda.so libcuda.so.*"; + + # The out output leverages the same functionality which backs the `symlinkJoin` function in + # Nixpkgs: + # https://github.com/NixOS/nixpkgs/blob/d8b2a92df48f9b08d68b0132ce7adfbdbc1fbfac/pkgs/build-support/trivial-builders/default.nix#L510 + # + # That should allow us to emulate "fat" default outputs without having to actually create them. + # + # It is important that this run after the autoPatchelfHook, otherwise the symlinks in out will reference libraries in lib, creating a circular dependency. + postPhases = ["postPatchelf"]; + + # For each output, create a symlink to it in the out output. + # NOTE: We must recreate the out output here, because the setup hook will have deleted it if it was empty. + postPatchelf = '' + mkdir -p "$out" + for output in $(getAllOutputNames); do + if [[ "$output" != "out" ]]; then + ${meta.getExe lndir} "''${!output}" "$out" + fi + done + ''; + + # Make the CUDA-patched stdenv available + passthru.stdenv = backendStdenv; + + # Setting propagatedBuildInputs to false will prevent outputs known to the multiple-outputs + # from depending on `out` by default. + # https://github.com/NixOS/nixpkgs/blob/2920b6fc16a9ed5d51429e94238b28306ceda79e/pkgs/build-support/setup-hooks/multiple-outputs.sh#L196 + # Indeed, we want to do the opposite -- fat "out" outputs that contain all the other outputs. + propagatedBuildOutputs = false; + + # By default, if the dev output exists it just uses that. + # However, because we disabled propagatedBuildOutputs, dev doesn't contain libraries or + # anything of the sort. To remedy this, we set outputSpecified to true, and use + # outputsToInstall, which tells Nix which outputs to use when the package name is used + # unqualified (that is, without an explicit output). + outputSpecified = true; + + meta = { + description = "${redistribRelease.name}. By downloading and using the packages you accept the terms and conditions of the ${finalAttrs.meta.license.shortName}"; + sourceProvenance = [sourceTypes.binaryNativeCode]; + platforms = + lists.concatMap + ( + redistArch: + let + nixSystem = builtins.tryEval (flags.getNixSystem redistArch); + in + if nixSystem.success then [nixSystem.value] else [] + ) + supportedRedistArchs; + broken = lists.any trivial.id (attrsets.attrValues finalAttrs.brokenConditions); + license = licenses.unfree; + maintainers = teams.cuda.members; + # Force the use of the default, fat output by default (even though `dev` exists, which + # causes Nix to prefer that output over the others if outputSpecified isn't set). + outputsToInstall = ["out"]; + }; + } +) diff --git a/nixpkgs/pkgs/development/cuda-modules/generic-builders/multiplex.nix b/nixpkgs/pkgs/development/cuda-modules/generic-builders/multiplex.nix new file mode 100644 index 000000000000..b8053094bcc8 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/generic-builders/multiplex.nix @@ -0,0 +1,131 @@ +{ + # callPackage-provided arguments + lib, + cudaVersion, + flags, + hostPlatform, + # Expected to be passed by the caller + mkVersionedPackageName, + # pname :: String + pname, + # releasesModule :: Path + # A path to a module which provides a `releases` attribute + releasesModule, + # shims :: Path + # A path to a module which provides a `shims` attribute + # The redistribRelease is only used in ./manifest.nix for the package version + # and the package description (which NVIDIA's manifest calls the "name"). + # It's also used for fetching the source, but we override that since we can't + # re-use that portion of the functionality (different URLs, etc.). + # The featureRelease is used to populate meta.platforms (by way of looking at the attribute names) + # and to determine the outputs of the package. + # shimFn :: {package, redistArch} -> AttrSet + shimsFn ? ({package, redistArch}: throw "shimsFn must be provided"), + # fixupFn :: Path + # A path (or nix expression) to be evaluated with callPackage and then + # provided to the package's overrideAttrs function. + # It must accept at least the following arguments: + # - final + # - cudaVersion + # - mkVersionedPackageName + # - package + fixupFn ? ( + { + final, + cudaVersion, + mkVersionedPackageName, + package, + ... + }: + throw "fixupFn must be provided" + ), +}: +let + inherit (lib) + attrsets + lists + modules + strings + ; + + evaluatedModules = modules.evalModules { + modules = [ + ../modules + releasesModule + ]; + }; + + # NOTE: Important types: + # - Releases: ../modules/${pname}/releases/releases.nix + # - Package: ../modules/${pname}/releases/package.nix + + # All releases across all platforms + # See ../modules/${pname}/releases/releases.nix + allReleases = evaluatedModules.config.${pname}.releases; + + # Compute versioned attribute name to be used in this package set + # Patch version changes should not break the build, so we only use major and minor + # computeName :: Package -> String + computeName = {version, ...}: mkVersionedPackageName pname version; + + # Check whether a package supports our CUDA version + # isSupported :: Package -> Bool + isSupported = + package: + strings.versionAtLeast cudaVersion package.minCudaVersion + && strings.versionAtLeast package.maxCudaVersion cudaVersion; + + # Get all of the packages for our given platform. + redistArch = flags.getRedistArch hostPlatform.system; + + # All the supported packages we can build for our platform. + # supportedPackages :: List (AttrSet Packages) + supportedPackages = builtins.filter isSupported (allReleases.${redistArch} or []); + + # newestToOldestSupportedPackage :: List (AttrSet Packages) + newestToOldestSupportedPackage = lists.reverseList supportedPackages; + + nameOfNewest = computeName (builtins.head newestToOldestSupportedPackage); + + # A function which takes the `final` overlay and the `package` being built and returns + # a function to be consumed via `overrideAttrs`. + overrideAttrsFixupFn = + final: package: + final.callPackage fixupFn { + inherit + final + cudaVersion + mkVersionedPackageName + package + ; + }; + + extension = + final: _: + let + # Builds our package into derivation and wraps it in a nameValuePair, where the name is the versioned name + # of the package. + buildPackage = + package: + let + shims = final.callPackage shimsFn {inherit package redistArch;}; + name = computeName package; + drv = final.callPackage ./manifest.nix { + inherit pname; + redistName = pname; + inherit (shims) redistribRelease featureRelease; + }; + fixedDrv = drv.overrideAttrs (overrideAttrsFixupFn final package); + in + attrsets.nameValuePair name fixedDrv; + + # versionedDerivations :: AttrSet Derivation + versionedDerivations = builtins.listToAttrs (lists.map buildPackage newestToOldestSupportedPackage); + + defaultDerivation = attrsets.optionalAttrs (versionedDerivations != {}) { + ${pname} = versionedDerivations.${nameOfNewest}; + }; + in + versionedDerivations // defaultDerivation; +in +extension diff --git a/nixpkgs/pkgs/development/cuda-modules/gpus.nix b/nixpkgs/pkgs/development/cuda-modules/gpus.nix new file mode 100644 index 000000000000..cf6e0a1eaf36 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/gpus.nix @@ -0,0 +1,204 @@ +# Type aliases +# +# Gpu = { +# archName: String +# - The name of the microarchitecture. +# computeCapability: String +# - The compute capability of the GPU. +# isJetson: Boolean +# - Whether a GPU is part of NVIDIA's line of Jetson embedded computers. This field is +# notable because it tells us what architecture to build for (as Jetson devices are +# aarch64). +# More on Jetson devices here: +# https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/ +# NOTE: These architectures are only built upon request. +# minCudaVersion: String +# - The minimum (inclusive) CUDA version that supports this GPU. +# dontDefaultAfter: null | String +# - The CUDA version after which to exclude this GPU from the list of default capabilities +# we build. null means we always include this GPU in the default capabilities if it is +# supported. +# maxCudaVersion: null | String +# - The maximum (exclusive) CUDA version that supports this GPU. null means there is no +# maximum. +# } +# +# Many thanks to Arnon Shimoni for maintaining a list of these architectures and capabilities. +# Without your work, this would have been much more difficult. +# https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/ +[ + { + # GeForce 700, GT-730 + archName = "Kepler"; + computeCapability = "3.0"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = "10.2"; + maxCudaVersion = "10.2"; + } + { + archName = "Kepler"; + computeCapability = "3.2"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = "10.2"; + maxCudaVersion = "10.2"; + } + { + # Tesla K40 + archName = "Kepler"; + computeCapability = "3.5"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = "11.0"; + maxCudaVersion = "11.8"; + } + { + # Tesla K80 + archName = "Kepler"; + computeCapability = "3.7"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = "11.0"; + maxCudaVersion = "11.8"; + } + { + # Tesla/Quadro M series + archName = "Maxwell"; + computeCapability = "5.0"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = "11.0"; + maxCudaVersion = null; + } + { + # Quadro M6000 , GeForce 900, GTX-970, GTX-980, GTX Titan X + archName = "Maxwell"; + computeCapability = "5.2"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = "11.0"; + maxCudaVersion = null; + } + { + # Tegra (Jetson) TX1 / Tegra X1, Drive CX, Drive PX, Jetson Nano + archName = "Maxwell"; + computeCapability = "5.3"; + isJetson = true; + minCudaVersion = "10.0"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # Quadro GP100, Tesla P100, DGX-1 (Generic Pascal) + archName = "Pascal"; + computeCapability = "6.0"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # GTX 1080, GTX 1070, GTX 1060, GTX 1050, GTX 1030 (GP108), GT 1010 (GP108) Titan Xp, Tesla + # P40, Tesla P4, Discrete GPU on the NVIDIA Drive PX2 + archName = "Pascal"; + computeCapability = "6.1"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # Integrated GPU on the NVIDIA Drive PX2, Tegra (Jetson) TX2 + archName = "Pascal"; + computeCapability = "6.2"; + isJetson = true; + minCudaVersion = "10.0"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # DGX-1 with Volta, Tesla V100, GTX 1180 (GV104), Titan V, Quadro GV100 + archName = "Volta"; + computeCapability = "7.0"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # Jetson AGX Xavier, Drive AGX Pegasus, Xavier NX + archName = "Volta"; + computeCapability = "7.2"; + isJetson = true; + minCudaVersion = "10.0"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # GTX/RTX Turing – GTX 1660 Ti, RTX 2060, RTX 2070, RTX 2080, Titan RTX, Quadro RTX 4000, + # Quadro RTX 5000, Quadro RTX 6000, Quadro RTX 8000, Quadro T1000/T2000, Tesla T4 + archName = "Turing"; + computeCapability = "7.5"; + isJetson = false; + minCudaVersion = "10.0"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # NVIDIA A100 (the name “Tesla” has been dropped – GA100), NVIDIA DGX-A100 + archName = "Ampere"; + computeCapability = "8.0"; + isJetson = false; + minCudaVersion = "11.2"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # Tesla GA10x cards, RTX Ampere – RTX 3080, GA102 – RTX 3090, RTX A2000, A3000, RTX A4000, + # A5000, A6000, NVIDIA A40, GA106 – RTX 3060, GA104 – RTX 3070, GA107 – RTX 3050, RTX A10, RTX + # A16, RTX A40, A2 Tensor Core GPU + archName = "Ampere"; + computeCapability = "8.6"; + isJetson = false; + minCudaVersion = "11.2"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # Jetson AGX Orin and Drive AGX Orin only + archName = "Ampere"; + computeCapability = "8.7"; + isJetson = true; + minCudaVersion = "11.5"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # NVIDIA GeForce RTX 4090, RTX 4080, RTX 6000, Tesla L40 + archName = "Ada"; + computeCapability = "8.9"; + isJetson = false; + minCudaVersion = "11.8"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # NVIDIA H100 (GH100) + archName = "Hopper"; + computeCapability = "9.0"; + isJetson = false; + minCudaVersion = "11.8"; + dontDefaultAfter = null; + maxCudaVersion = null; + } + { + # NVIDIA H100 (GH100) (Thor) + archName = "Hopper"; + computeCapability = "9.0a"; + isJetson = false; + minCudaVersion = "12.0"; + dontDefaultAfter = null; + maxCudaVersion = null; + } +] diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/README.md b/nixpkgs/pkgs/development/cuda-modules/modules/README.md new file mode 100644 index 000000000000..7db8435c9dc8 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/README.md @@ -0,0 +1,56 @@ +# Modules + +Modules as they are used in `modules` exist primarily to check the shape and +content of CUDA redistributable and feature manifests. They are ultimately meant +to reduce the repetitive nature of repackaging CUDA redistributables. + +Building most redistributables follows a pattern of a manifest indicating which +packages are available at a location, their versions, and their hashes. To avoid +creating builders for each and every derivation, modules serve as a way for us +to use a single `genericManifestBuilder` to build all redistributables. + +## `generic` + +The modules in `generic` are reusable components meant to check the shape and +content of NVIDIA's CUDA redistributable manifests, our feature manifests (which +are derived from NVIDIA's manifests), or hand-crafted Nix expressions describing +available packages. They are used by the `genericManifestBuilder` to build CUDA +redistributables. + +Generally, each package which relies on manifests or Nix release expressions +will create an alias to the relevant generic module. For example, the [module +for CUDNN](./cudnn/default.nix) aliases the generic module for release +expressions, while the [module for CUDA redistributables](./cuda/default.nix) +aliases the generic module for manifests. + +Alternatively, additional fields or values may need to be configured to account +for the particulars of a package. For example, while the release expressions for +[CUDNN](./cudnn/releases.nix) and [TensorRT](./tensorrt/releases.nix) are very +close, they differ slightly in the fields they have. The [module for +CUDNN](./modules/cudnn/default.nix) is able to use the generic module for +release expressions, while the [module for +TensorRT](./modules/tensorrt/default.nix) must add additional fields to the +generic module. + +### `manifests` + +The modules in `generic/manifests` define the structure of NVIDIA's CUDA +redistributable manifests and our feature manifests. + +NVIDIA's redistributable manifests are retrieved from their web server, while +the feature manifests are produced by +[`cuda-redist-find-features`](https://github.com/connorbaker/cuda-redist-find-features). + +### `releases` + +The modules in `generic/releases` define the structure of our hand-crafted Nix +expressions containing information necessary to download and repackage CUDA +redistributables. These expressions are created when NVIDIA-provided manifests +are unavailable or otherwise unusable. For example, though CUDNN has manifests, +a bug in NVIDIA's CI/CD causes manifests for different versions of CUDA to use +the same name, which leads to the manifests overwriting each other. + +### `types` + +The modules in `generic/types` define reusable types used in both +`generic/manifests` and `generic/releases`. diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/cuda/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/cuda/default.nix new file mode 100644 index 000000000000..4ea35d048226 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/cuda/default.nix @@ -0,0 +1 @@ +{options, ...}: {options.cuda.manifests = options.generic.manifests;} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/cudnn/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/cudnn/default.nix new file mode 100644 index 000000000000..dd52cbaa24b4 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/cudnn/default.nix @@ -0,0 +1,12 @@ +{options, ...}: +{ + options.cudnn.releases = options.generic.releases; + # TODO(@connorbaker): Figure out how to add additional options to the + # to the generic release. + # { + # url = options.mkOption { + # description = "The URL to download the tarball from"; + # type = types.str; + # }; + # } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/cutensor/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/cutensor/default.nix new file mode 100644 index 000000000000..8ec2189fee4c --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/cutensor/default.nix @@ -0,0 +1 @@ +{options, ...}: {options.cutensor.manifests = options.generic.manifests;} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/default.nix new file mode 100644 index 000000000000..ccccd871479e --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/default.nix @@ -0,0 +1,10 @@ +{ + imports = [ + ./generic + # Always after generic + ./cuda + ./cudnn + ./cutensor + ./tensorrt + ]; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/default.nix new file mode 100644 index 000000000000..b68aa614f240 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/default.nix @@ -0,0 +1,7 @@ +{ + imports = [ + ./types + ./manifests + ./releases + ]; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/default.nix new file mode 100644 index 000000000000..6c12919ff400 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/default.nix @@ -0,0 +1,7 @@ +{lib, config, ...}: +{ + options.generic.manifests = { + feature = import ./feature/manifest.nix {inherit lib config;}; + redistrib = import ./redistrib/manifest.nix {inherit lib;}; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/manifest.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/manifest.nix new file mode 100644 index 000000000000..29ca678e0e5a --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/manifest.nix @@ -0,0 +1,10 @@ +{lib, config, ...}: +let + inherit (lib) options trivial types; + Release = import ./release.nix {inherit lib config;}; +in +options.mkOption { + description = "A feature manifest is an attribute set which includes a mapping from package name to release"; + example = trivial.importJSON ../../../../cuda/manifests/feature_11.5.2.json; + type = types.attrsOf Release.type; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/outputs.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/outputs.nix new file mode 100644 index 000000000000..db6dff769e14 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/outputs.nix @@ -0,0 +1,60 @@ +{lib, ...}: +let + inherit (lib) options types; +in +# https://github.com/ConnorBaker/cuda-redist-find-features/blob/603407bea2fab47f2dfcd88431122a505af95b42/cuda_redist_find_features/manifest/feature/package/package.py +options.mkOption { + description = "A set of outputs that a package can provide."; + example = { + bin = true; + dev = true; + doc = false; + lib = false; + sample = false; + static = false; + }; + type = types.submodule { + options = { + bin = options.mkOption { + description = "A `bin` output requires that we have a non-empty `bin` directory containing at least one file with the executable bit set."; + type = types.bool; + }; + dev = options.mkOption { + description = '' + A `dev` output requires that we have at least one of the following non-empty directories: + + - `include` + - `lib/pkgconfig` + - `share/pkgconfig` + - `lib/cmake` + - `share/aclocal` + ''; + type = types.bool; + }; + doc = options.mkOption { + description = '' + A `doc` output requires that we have at least one of the following non-empty directories: + + - `share/info` + - `share/doc` + - `share/gtk-doc` + - `share/devhelp` + - `share/man` + ''; + type = types.bool; + }; + lib = options.mkOption { + description = "A `lib` output requires that we have a non-empty lib directory containing at least one shared library."; + type = types.bool; + }; + sample = options.mkOption { + description = "A `sample` output requires that we have a non-empty `samples` directory."; + type = types.bool; + }; + static = options.mkOption { + description = "A `static` output requires that we have a non-empty lib directory containing at least one static library."; + type = types.bool; + }; + }; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/package.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/package.nix new file mode 100644 index 000000000000..2c36a3e0cb27 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/package.nix @@ -0,0 +1,10 @@ +{lib, ...}: +let + inherit (lib) options types; + Outputs = import ./outputs.nix {inherit lib;}; +in +options.mkOption { + description = "A package in the manifest"; + example = (import ./release.nix {inherit lib;}).linux-x86_64; + type = types.submodule {options.outputs = Outputs;}; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/release.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/release.nix new file mode 100644 index 000000000000..be3a30ffdc59 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/feature/release.nix @@ -0,0 +1,10 @@ +{lib, config, ...}: +let + inherit (lib) options types; + Package = import ./package.nix {inherit lib config;}; +in +options.mkOption { + description = "A release is an attribute set which includes a mapping from platform to package"; + example = (import ./manifest.nix {inherit lib;}).cuda_cccl; + type = types.attrsOf Package.type; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/manifest.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/manifest.nix new file mode 100644 index 000000000000..0cfa40241fdc --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/manifest.nix @@ -0,0 +1,33 @@ +{lib, ...}: +let + inherit (lib) options trivial types; + Release = import ./release.nix {inherit lib;}; +in +options.mkOption { + description = "A redistributable manifest is an attribute set which includes a mapping from package name to release"; + example = trivial.importJSON ../../../../cuda/manifests/redistrib_11.5.2.json; + type = types.submodule { + # Allow any attribute name as these will be the package names + freeformType = types.attrsOf Release.type; + options = { + release_date = options.mkOption { + description = "The release date of the manifest"; + type = types.nullOr types.str; + default = null; + example = "2023-08-29"; + }; + release_label = options.mkOption { + description = "The release label of the manifest"; + type = types.nullOr types.str; + default = null; + example = "12.2.2"; + }; + release_product = options.mkOption { + example = "cuda"; + description = "The release product of the manifest"; + type = types.nullOr types.str; + default = null; + }; + }; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/package.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/package.nix new file mode 100644 index 000000000000..8d18c06b893f --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/package.nix @@ -0,0 +1,32 @@ +{lib, ...}: +let + inherit (lib) options types; +in +options.mkOption { + description = "A package in the manifest"; + example = (import ./release.nix {inherit lib;}).linux-x86_64; + type = types.submodule { + options = { + relative_path = options.mkOption { + description = "The relative path to the package"; + example = "cuda_cccl/linux-x86_64/cuda_cccl-linux-x86_64-11.5.62-archive.tar.xz"; + type = types.str; + }; + sha256 = options.mkOption { + description = "The sha256 hash of the package"; + example = "bbe633d6603d5a96a214dcb9f3f6f6fd2fa04d62e53694af97ae0c7afe0121b0"; + type = types.str; + }; + md5 = options.mkOption { + description = "The md5 hash of the package"; + example = "e5deef4f6cb71f14aac5be5d5745dafe"; + type = types.str; + }; + size = options.mkOption { + description = "The size of the package as a string"; + type = types.str; + example = "960968"; + }; + }; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/release.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/release.nix new file mode 100644 index 000000000000..dd2b206fede4 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/manifests/redistrib/release.nix @@ -0,0 +1,36 @@ +{lib, ...}: +let + inherit (lib) options types; + Package = import ./package.nix {inherit lib;}; +in +options.mkOption { + description = "A release is an attribute set which includes a mapping from platform to package"; + example = (import ./manifest.nix {inherit lib;}).cuda_cccl; + type = types.submodule { + # Allow any attribute name as these will be the platform names + freeformType = types.attrsOf Package.type; + options = { + name = options.mkOption { + description = "The full name of the package"; + example = "CXX Core Compute Libraries"; + type = types.str; + }; + license = options.mkOption { + description = "The license of the package"; + example = "CUDA Toolkit"; + type = types.str; + }; + license_path = options.mkOption { + description = "The path to the license of the package"; + example = "cuda_cccl/LICENSE.txt"; + default = null; + type = types.nullOr types.str; + }; + version = options.mkOption { + description = "The version of the package"; + example = "11.5.62"; + type = types.str; + }; + }; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/releases/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/releases/default.nix new file mode 100644 index 000000000000..8da6f0d5cc79 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/releases/default.nix @@ -0,0 +1,45 @@ +{lib, config, ...}: +let + inherit (config.generic.types) majorMinorVersion majorMinorPatchBuildVersion; + inherit (lib) options types; +in +{ + options.generic.releases = options.mkOption { + description = "A collection of packages targeting different platforms"; + type = + let + Package = options.mkOption { + description = "A package for a specific platform"; + example = { + version = "8.0.3.4"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + hash = "sha256-LxcXgwe1OCRfwDsEsNLIkeNsOcx3KuF5Sj+g2dY6WD0="; + }; + type = types.submodule { + # TODO(@connorbaker): Figure out how to extend option sets. + freeformType = types.attrsOf types.anything; + options = { + version = options.mkOption { + description = "The version of the package"; + type = majorMinorPatchBuildVersion; + }; + minCudaVersion = options.mkOption { + description = "The minimum CUDA version supported"; + type = majorMinorVersion; + }; + maxCudaVersion = options.mkOption { + description = "The maximum CUDA version supported"; + type = majorMinorVersion; + }; + hash = options.mkOption { + description = "The hash of the tarball"; + type = types.str; + }; + }; + }; + }; + in + types.attrsOf (types.listOf Package.type); + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/generic/types/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/generic/types/default.nix new file mode 100644 index 000000000000..61d13b3cc8d2 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/generic/types/default.nix @@ -0,0 +1,39 @@ +{lib, ...}: +let + inherit (lib) options types; +in +{ + options.generic.types = options.mkOption { + type = types.attrsOf types.optionType; + default = {}; + description = "A set of generic types."; + }; + config.generic.types = { + cudaArch = types.strMatching "^sm_[[:digit:]]+[a-z]?$" // { + name = "cudaArch"; + description = "A CUDA architecture name."; + }; + # https://github.com/ConnorBaker/cuda-redist-find-features/blob/c841980e146f8664bbcd0ba1399e486b7910617b/cuda_redist_find_features/types/_lib_so_name.py + libSoName = types.strMatching ".*\\.so(\\.[[:digit:]]+)*$" // { + name = "libSoName"; + description = "The name of a shared object file."; + }; + + majorMinorVersion = types.strMatching "^([[:digit:]]+)\\.([[:digit:]]+)$" // { + name = "majorMinorVersion"; + description = "A version number with a major and minor component."; + }; + + majorMinorPatchVersion = types.strMatching "^([[:digit:]]+)\\.([[:digit:]]+)\\.([[:digit:]]+)$" // { + name = "majorMinorPatchVersion"; + description = "A version number with a major, minor, and patch component."; + }; + + majorMinorPatchBuildVersion = + types.strMatching "^([[:digit:]]+)\\.([[:digit:]]+)\\.([[:digit:]]+)\\.([[:digit:]]+)$" + // { + name = "majorMinorPatchBuildVersion"; + description = "A version number with a major, minor, patch, and build component."; + }; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/modules/tensorrt/default.nix b/nixpkgs/pkgs/development/cuda-modules/modules/tensorrt/default.nix new file mode 100644 index 000000000000..e62942c679aa --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/modules/tensorrt/default.nix @@ -0,0 +1,16 @@ +{options, ...}: +{ + options.tensorrt.releases = options.generic.releases; + # TODO(@connorbaker): Figure out how to add additional options to the + # to the generic release. + # { + # cudnnVersion = lib.options.mkOption { + # description = "The CUDNN version supported"; + # type = types.nullOr majorMinorVersion; + # }; + # filename = lib.options.mkOption { + # description = "The tarball name"; + # type = types.str; + # }; + # } +} diff --git a/nixpkgs/pkgs/development/cuda-modules/nccl-tests/default.nix b/nixpkgs/pkgs/development/cuda-modules/nccl-tests/default.nix new file mode 100644 index 000000000000..5c2f29b7ed56 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/nccl-tests/default.nix @@ -0,0 +1,84 @@ +# NOTE: Though NCCL tests is called within the cudaPackages package set, we avoid passing in +# the names of dependencies from that package set directly to avoid evaluation errors +# in the case redistributable packages are not available. +{ + config, + cudaPackages, + fetchFromGitHub, + gitUpdater, + lib, + mpi, + mpiSupport ? false, + which, +}: +let + inherit (cudaPackages) + backendStdenv + cuda_cccl + cuda_cudart + cuda_nvcc + cudatoolkit + cudaVersion + nccl + ; +in +backendStdenv.mkDerivation ( + finalAttrs: { + + pname = "nccl-tests"; + version = "2.13.8"; + + src = fetchFromGitHub { + owner = "NVIDIA"; + repo = finalAttrs.pname; + rev = "v${finalAttrs.version}"; + hash = "sha256-dxLoflsTHDBnZRTzoXdm30OyKpLlRa73b784YWALBHg="; + }; + + strictDeps = true; + + nativeBuildInputs = + [which] + ++ lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit] + ++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [cuda_nvcc]; + + buildInputs = + [nccl] + ++ lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit] + ++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [ + cuda_nvcc.dev # crt/host_config.h + cuda_cudart + ] + ++ lib.optionals (lib.versionAtLeast cudaVersion "12.0") [ + cuda_cccl.dev # <nv/target> + ] + ++ lib.optionals mpiSupport [mpi]; + + makeFlags = + ["NCCL_HOME=${nccl}"] + ++ lib.optionals (lib.versionOlder cudaVersion "11.4") ["CUDA_HOME=${cudatoolkit}"] + ++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") ["CUDA_HOME=${cuda_nvcc}"] + ++ lib.optionals mpiSupport ["MPI=1"]; + + enableParallelBuilding = true; + + installPhase = '' + mkdir -p $out/bin + cp -r build/* $out/bin/ + ''; + + passthru.updateScript = gitUpdater { + inherit (finalAttrs) pname version; + rev-prefix = "v"; + }; + + meta = with lib; { + description = "Tests to check both the performance and the correctness of NVIDIA NCCL operations"; + homepage = "https://github.com/NVIDIA/nccl-tests"; + platforms = platforms.linux; + license = licenses.bsd3; + broken = !config.cudaSupport || (mpiSupport && mpi == null); + maintainers = with maintainers; [jmillerpdt] ++ teams.cuda.members; + }; + } +) diff --git a/nixpkgs/pkgs/development/cuda-modules/nccl/default.nix b/nixpkgs/pkgs/development/cuda-modules/nccl/default.nix new file mode 100644 index 000000000000..c56d59cb4206 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/nccl/default.nix @@ -0,0 +1,112 @@ +# NOTE: Though NCCL is called within the cudaPackages package set, we avoid passing in +# the names of dependencies from that package set directly to avoid evaluation errors +# in the case redistributable packages are not available. +{ + lib, + fetchFromGitHub, + python3, + which, + cudaPackages, + # passthru.updateScript + gitUpdater, +}: +let + inherit (cudaPackages) + autoAddOpenGLRunpathHook + backendStdenv + cuda_cccl + cuda_cudart + cuda_nvcc + cudaFlags + cudatoolkit + cudaVersion + ; +in +backendStdenv.mkDerivation ( + finalAttrs: { + pname = "nccl"; + version = "2.19.3-1"; + + src = fetchFromGitHub { + owner = "NVIDIA"; + repo = finalAttrs.pname; + rev = "v${finalAttrs.version}"; + hash = "sha256-59FlOKM5EB5Vkm4dZBRCkn+IgIcdQehE+FyZAdTCT/A="; + }; + + strictDeps = true; + + outputs = [ + "out" + "dev" + ]; + + nativeBuildInputs = + [ + which + autoAddOpenGLRunpathHook + python3 + ] + ++ lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit] + ++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [cuda_nvcc]; + + buildInputs = + lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit] + ++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [ + cuda_nvcc.dev # crt/host_config.h + cuda_cudart + ] + # NOTE: CUDA versions in Nixpkgs only use a major and minor version. When we do comparisons + # against other version, like below, it's important that we use the same format. Otherwise, + # we'll get incorrect results. + # For example, lib.versionAtLeast "12.0" "12.0.0" == false. + ++ lib.optionals (lib.versionAtLeast cudaVersion "12.0") [cuda_cccl]; + + env.NIX_CFLAGS_COMPILE = toString ["-Wno-unused-function"]; + + preConfigure = '' + patchShebangs ./src/device/generate.py + makeFlagsArray+=( + "NVCC_GENCODE=${lib.concatStringsSep " " cudaFlags.gencode}" + ) + ''; + + makeFlags = + ["PREFIX=$(out)"] + ++ lib.optionals (lib.versionOlder cudaVersion "11.4") [ + "CUDA_HOME=${cudatoolkit}" + "CUDA_LIB=${lib.getLib cudatoolkit}/lib" + "CUDA_INC=${lib.getDev cudatoolkit}/include" + ] + ++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [ + "CUDA_HOME=${cuda_nvcc}" + "CUDA_LIB=${lib.getLib cuda_cudart}/lib" + "CUDA_INC=${lib.getDev cuda_cudart}/include" + ]; + + enableParallelBuilding = true; + + postFixup = '' + moveToOutput lib/libnccl_static.a $dev + ''; + + passthru.updateScript = gitUpdater { + inherit (finalAttrs) pname version; + rev-prefix = "v"; + }; + + meta = with lib; { + description = "Multi-GPU and multi-node collective communication primitives for NVIDIA GPUs"; + homepage = "https://developer.nvidia.com/nccl"; + license = licenses.bsd3; + platforms = platforms.linux; + maintainers = + with maintainers; + [ + mdaiter + orivej + ] + ++ teams.cuda.members; + }; + } +) diff --git a/nixpkgs/pkgs/development/cuda-modules/nvcc-compatibilities.nix b/nixpkgs/pkgs/development/cuda-modules/nvcc-compatibilities.nix new file mode 100644 index 000000000000..4af1b511a1d9 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/nvcc-compatibilities.nix @@ -0,0 +1,124 @@ +# Taken from +# https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#host-compiler-support-policy +# +# NVCC performs a version check on the host compiler’s major version and so newer minor versions +# of the compilers listed below will be supported, but major versions falling outside the range +# will not be supported. +# +# NOTE: These constraints don't apply to Jetson, which uses something else. +# NOTE: NVIDIA can and will add support for newer compilers even during patch releases. +# E.g.: CUDA 12.2.1 maxxed out with support for Clang 15.0; 12.2.2 added support for Clang 16.0. +# NOTE: Because all platforms NVIDIA supports use GCC and Clang, we omit the architectures here. +# Type Aliases +# CudaVersion = String (two-part version number, e.g. "11.2") +# Platform = String (e.g. "x86_64-linux") +# CompilerCompatibilities = { +# clangMaxMajorVersion = String (e.g. "15") +# clangMinMajorVersion = String (e.g. "7") +# gccMaxMajorVersion = String (e.g. "11") +# gccMinMajorVersion = String (e.g. "6") +# } +let + # attrs :: AttrSet CudaVersion CompilerCompatibilities + attrs = { + # Our baseline + # https://docs.nvidia.com/cuda/archive/10.0/cuda-toolkit-release-notes/index.html#cuda-compiler-new-features + "10.0" = { + clangMaxMajorVersion = "6"; + clangMinMajorVersion = "6"; + gccMaxMajorVersion = "7"; + gccMinMajorVersion = "5"; + }; + + # Added support for Clang 7 and GCC 8 + # https://docs.nvidia.com/cuda/archive/10.1/cuda-toolkit-release-notes/index.html#cuda-compiler-new-features + "10.1" = attrs."10.0" // { + clangMaxMajorVersion = "7"; + gccMaxMajorVersion = "8"; + }; + + # Added clang 8 + # https://docs.nvidia.com/cuda/archive/10.2/cuda-toolkit-release-notes/index.html#cuda-compiler-new-features + "10.2" = attrs."10.1" // { + clangMaxMajorVersion = "8"; + }; + + # Added support for Clang 9 and GCC 9 + # https://docs.nvidia.com/cuda/archive/11.0/cuda-toolkit-release-notes/index.html#cuda-compiler-new-features + "11.0" = { + clangMaxMajorVersion = "9"; + clangMinMajorVersion = "7"; + gccMaxMajorVersion = "9"; + gccMinMajorVersion = "6"; + }; + + # Added support for Clang 10 and GCC 10 + # https://docs.nvidia.com/cuda/archive/11.1.1/cuda-toolkit-release-notes/index.html#cuda-compiler-new-features + "11.1" = attrs."11.0" // { + clangMaxMajorVersion = "10"; + gccMaxMajorVersion = "10"; + }; + + # Added support for Clang 11 + # https://docs.nvidia.com/cuda/archive/11.2.2/cuda-installation-guide-linux/index.html#system-requirements + "11.2" = attrs."11.1" // { + clangMaxMajorVersion = "11"; + }; + + # No changes from 11.2 to 11.3 + "11.3" = attrs."11.2"; + + # Added support for Clang 12 and GCC 11 + # https://docs.nvidia.com/cuda/archive/11.4.4/cuda-toolkit-release-notes/index.html#cuda-general-new-features + "11.4" = attrs."11.3" // { + clangMaxMajorVersion = "12"; + # NOTE: There is a bug in the version of GLIBC that GCC 11 uses which causes it to fail to compile some CUDA + # code. As such, we skip it for this release, and do the bump in 11.6 (skipping 11.5). + # https://forums.developer.nvidia.com/t/cuda-11-5-samples-throw-multiple-error-attribute-malloc-does-not-take-arguments/192750/15 + # gccMaxMajorVersion = "11"; + }; + + # No changes from 11.4 to 11.5 + "11.5" = attrs."11.4"; + + # No changes from 11.5 to 11.6 + # However, as mentioned above, we add GCC 11 this release. + "11.6" = attrs."11.5" // { + gccMaxMajorVersion = "11"; + }; + + # Added support for Clang 13 + # https://docs.nvidia.com/cuda/archive/11.7.1/cuda-toolkit-release-notes/index.html#cuda-compiler-new-features + "11.7" = attrs."11.6" // { + clangMaxMajorVersion = "13"; + }; + + # Added support for Clang 14 + # https://docs.nvidia.com/cuda/archive/11.8.0/cuda-installation-guide-linux/index.html#system-requirements + "11.8" = attrs."11.7" // { + clangMaxMajorVersion = "14"; + }; + + # Added support for GCC 12 + # https://docs.nvidia.com/cuda/archive/12.0.1/cuda-installation-guide-linux/index.html#system-requirements + "12.0" = attrs."11.8" // { + gccMaxMajorVersion = "12"; + }; + + # Added support for Clang 15 + # https://docs.nvidia.com/cuda/archive/12.1.1/cuda-toolkit-release-notes/index.html#cuda-compilers-new-features + "12.1" = attrs."12.0" // { + clangMaxMajorVersion = "15"; + }; + + # Added support for Clang 16 + # https://docs.nvidia.com/cuda/archive/12.2.2/cuda-installation-guide-linux/index.html#host-compiler-support-policy + "12.2" = attrs."12.1" // { + clangMaxMajorVersion = "16"; + }; + + # No changes from 12.2 to 12.3 + "12.3" = attrs."12.2"; + }; +in +attrs diff --git a/nixpkgs/pkgs/development/cuda-modules/saxpy/CMakeLists.txt b/nixpkgs/pkgs/development/cuda-modules/saxpy/CMakeLists.txt new file mode 100644 index 000000000000..a6954e6e8bee --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/saxpy/CMakeLists.txt @@ -0,0 +1,12 @@ +cmake_minimum_required(VERSION 3.25) +project(saxpy LANGUAGES CXX CUDA) + +find_package(CUDAToolkit REQUIRED COMPONENTS cudart cublas) + +add_executable(saxpy saxpy.cu) +target_link_libraries(saxpy PUBLIC CUDA::cublas CUDA::cudart m) +target_compile_features(saxpy PRIVATE cxx_std_14) +target_compile_options(saxpy PRIVATE $<$<COMPILE_LANGUAGE:CUDA>: + --expt-relaxed-constexpr>) + +install(TARGETS saxpy) diff --git a/nixpkgs/pkgs/development/cuda-modules/saxpy/default.nix b/nixpkgs/pkgs/development/cuda-modules/saxpy/default.nix new file mode 100644 index 000000000000..fff52801e3cc --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/saxpy/default.nix @@ -0,0 +1,56 @@ +{ + cmake, + cudaPackages, + lib, +}: +let + inherit (cudaPackages) + autoAddOpenGLRunpathHook + backendStdenv + cuda_cccl + cuda_cudart + cuda_nvcc + cudatoolkit + cudaVersion + flags + libcublas + ; +in +backendStdenv.mkDerivation { + pname = "saxpy"; + version = "unstable-2023-07-11"; + + src = ./.; + + strictDeps = true; + + nativeBuildInputs = + [ + cmake + autoAddOpenGLRunpathHook + ] + ++ lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit] + ++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [cuda_nvcc]; + + buildInputs = + lib.optionals (lib.versionOlder cudaVersion "11.4") [cudatoolkit] + ++ lib.optionals (lib.versionAtLeast cudaVersion "11.4") [ + libcublas + cuda_cudart + ] + ++ lib.optionals (lib.versionAtLeast cudaVersion "12.0") [cuda_cccl]; + + cmakeFlags = [ + (lib.cmakeBool "CMAKE_VERBOSE_MAKEFILE" true) + (lib.cmakeFeature "CMAKE_CUDA_ARCHITECTURES" ( + with flags; lib.concatStringsSep ";" (lib.lists.map dropDot cudaCapabilities) + )) + ]; + + meta = { + description = "A simple (Single-precision AX Plus Y) FindCUDAToolkit.cmake example for testing cross-compilation"; + license = lib.licenses.mit; + maintainers = lib.teams.cuda.members; + platforms = lib.platforms.unix; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/saxpy/saxpy.cu b/nixpkgs/pkgs/development/cuda-modules/saxpy/saxpy.cu new file mode 100644 index 000000000000..912a6d1647b1 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/saxpy/saxpy.cu @@ -0,0 +1,68 @@ +#include <cublas_v2.h> +#include <cuda_runtime.h> +#include <vector> + +#include <stdio.h> + +static inline void check(cudaError_t err, const char *context) { + if (err != cudaSuccess) { + fprintf(stderr, "CUDA error at %s: %s\n", context, cudaGetErrorString(err)); + std::exit(EXIT_FAILURE); + } +} + +#define CHECK(x) check(x, #x) + +__global__ void saxpy(int n, float a, float *x, float *y) { + int i = blockIdx.x * blockDim.x + threadIdx.x; + if (i < n) + y[i] = a * x[i] + y[i]; +} + +int main(void) { + setbuf(stderr, NULL); + fprintf(stderr, "Start\n"); + + int rtVersion, driverVersion; + CHECK(cudaRuntimeGetVersion(&rtVersion)); + CHECK(cudaDriverGetVersion(&driverVersion)); + + fprintf(stderr, "Runtime version: %d\n", rtVersion); + fprintf(stderr, "Driver version: %d\n", driverVersion); + + constexpr int N = 1 << 10; + + std::vector<float> xHost(N), yHost(N); + for (int i = 0; i < N; i++) { + xHost[i] = 1.0f; + yHost[i] = 2.0f; + } + + fprintf(stderr, "Host memory initialized, copying to the device\n"); + fflush(stderr); + + float *xDevice, *yDevice; + CHECK(cudaMalloc(&xDevice, N * sizeof(float))); + CHECK(cudaMalloc(&yDevice, N * sizeof(float))); + + CHECK(cudaMemcpy(xDevice, xHost.data(), N * sizeof(float), + cudaMemcpyHostToDevice)); + CHECK(cudaMemcpy(yDevice, yHost.data(), N * sizeof(float), + cudaMemcpyHostToDevice)); + fprintf(stderr, "Scheduled a cudaMemcpy, calling the kernel\n"); + + saxpy<<<(N + 255) / 256, 256>>>(N, 2.0f, xDevice, yDevice); + fprintf(stderr, "Scheduled a kernel call\n"); + CHECK(cudaGetLastError()); + + CHECK(cudaMemcpy(yHost.data(), yDevice, N * sizeof(float), + cudaMemcpyDeviceToHost)); + + float maxError = 0.0f; + for (int i = 0; i < N; i++) + maxError = max(maxError, abs(yHost[i] - 4.0f)); + fprintf(stderr, "Max error: %f\n", maxError); + + CHECK(cudaFree(xDevice)); + CHECK(cudaFree(yDevice)); +} diff --git a/nixpkgs/pkgs/development/cuda-modules/setup-hooks/auto-add-cuda-compat-runpath.sh b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/auto-add-cuda-compat-runpath.sh new file mode 100644 index 000000000000..537daad2f00e --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/auto-add-cuda-compat-runpath.sh @@ -0,0 +1,27 @@ +# shellcheck shell=bash +# Patch all dynamically linked, ELF files with the CUDA driver (libcuda.so) +# coming from the cuda_compat package by adding it to the RUNPATH. +echo "Sourcing auto-add-cuda-compat-runpath-hook" + +elfHasDynamicSection() { + patchelf --print-rpath "$1" >& /dev/null +} + +autoAddCudaCompatRunpathPhase() ( + local outputPaths + mapfile -t outputPaths < <(for o in $(getAllOutputNames); do echo "${!o}"; done) + find "${outputPaths[@]}" -type f -executable -print0 | while IFS= read -rd "" f; do + if isELF "$f"; then + # patchelf returns an error on statically linked ELF files + if elfHasDynamicSection "$f" ; then + echo "autoAddCudaCompatRunpathHook: patching $f" + local origRpath="$(patchelf --print-rpath "$f")" + patchelf --set-rpath "@libcudaPath@:$origRpath" "$f" + elif (( "${NIX_DEBUG:-0}" >= 1 )) ; then + echo "autoAddCudaCompatRunpathHook: skipping a statically-linked ELF file $f" + fi + fi + done +) + +postFixupHooks+=(autoAddCudaCompatRunpathPhase) diff --git a/nixpkgs/pkgs/development/cuda-modules/setup-hooks/auto-add-opengl-runpath-hook.sh b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/auto-add-opengl-runpath-hook.sh new file mode 100644 index 000000000000..f50a5f6c25c6 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/auto-add-opengl-runpath-hook.sh @@ -0,0 +1,28 @@ +# shellcheck shell=bash +# Run addOpenGLRunpath on all dynamically linked, ELF files +echo "Sourcing auto-add-opengl-runpath-hook" + +elfHasDynamicSection() { + patchelf --print-rpath "$1" >& /dev/null +} + +autoAddOpenGLRunpathPhase() ( + local outputPaths + mapfile -t outputPaths < <(for o in $(getAllOutputNames); do echo "${!o}"; done) + find "${outputPaths[@]}" -type f -executable -print0 | while IFS= read -rd "" f; do + if isELF "$f"; then + # patchelf returns an error on statically linked ELF files + if elfHasDynamicSection "$f" ; then + echo "autoAddOpenGLRunpathHook: patching $f" + addOpenGLRunpath "$f" + elif (( "${NIX_DEBUG:-0}" >= 1 )) ; then + echo "autoAddOpenGLRunpathHook: skipping a statically-linked ELF file $f" + fi + fi + done +) + +if [ -z "${dontUseAutoAddOpenGLRunpath-}" ]; then + echo "Using autoAddOpenGLRunpathPhase" + postFixupHooks+=(autoAddOpenGLRunpathPhase) +fi diff --git a/nixpkgs/pkgs/development/cuda-modules/setup-hooks/extension.nix b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/extension.nix new file mode 100644 index 000000000000..930730ce6c06 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/extension.nix @@ -0,0 +1,69 @@ +final: _: { + # Internal hook, used by cudatoolkit and cuda redist packages + # to accommodate automatic CUDAToolkit_ROOT construction + markForCudatoolkitRootHook = + final.callPackage + ( + {makeSetupHook}: + makeSetupHook {name = "mark-for-cudatoolkit-root-hook";} ./mark-for-cudatoolkit-root-hook.sh + ) + {}; + + # Currently propagated by cuda_nvcc or cudatoolkit, rather than used directly + setupCudaHook = + (final.callPackage + ( + {makeSetupHook, backendStdenv}: + makeSetupHook + { + name = "setup-cuda-hook"; + + substitutions.setupCudaHook = placeholder "out"; + + # Point NVCC at a compatible compiler + substitutions.ccRoot = "${backendStdenv.cc}"; + + # Required in addition to ccRoot as otherwise bin/gcc is looked up + # when building CMakeCUDACompilerId.cu + substitutions.ccFullPath = "${backendStdenv.cc}/bin/${backendStdenv.cc.targetPrefix}c++"; + } + ./setup-cuda-hook.sh + ) + {} + ); + + autoAddOpenGLRunpathHook = + final.callPackage + ( + {addOpenGLRunpath, makeSetupHook}: + makeSetupHook + { + name = "auto-add-opengl-runpath-hook"; + propagatedBuildInputs = [addOpenGLRunpath]; + } + ./auto-add-opengl-runpath-hook.sh + ) + {}; + + # autoAddCudaCompatRunpathHook hook must be added AFTER `setupCudaHook`. Both + # hooks prepend a path with `libcuda.so` to the `DT_RUNPATH` section of + # patched elf files, but `cuda_compat` path must take precedence (otherwise, + # it doesn't have any effect) and thus appear first. Meaning this hook must be + # executed last. + autoAddCudaCompatRunpathHook = + final.callPackage + ( + {makeSetupHook, cuda_compat}: + makeSetupHook + { + name = "auto-add-cuda-compat-runpath-hook"; + substitutions = { + # Hotfix Ofborg evaluation + libcudaPath = if final.flags.isJetsonBuild then "${cuda_compat}/compat" else null; + }; + meta.broken = !final.flags.isJetsonBuild; + } + ./auto-add-cuda-compat-runpath.sh + ) + {}; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/setup-hooks/mark-for-cudatoolkit-root-hook.sh b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/mark-for-cudatoolkit-root-hook.sh new file mode 100644 index 000000000000..ba04c2e0806a --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/mark-for-cudatoolkit-root-hook.sh @@ -0,0 +1,14 @@ +# shellcheck shell=bash + +# Should we mimick cc-wrapper's "hygiene"? +[[ -z ${strictDeps-} ]] || (( "$hostOffset" < 0 )) || return 0 + +echo "Sourcing mark-for-cudatoolkit-root-hook" >&2 + +markForCUDAToolkit_ROOT() { + mkdir -p "${prefix}/nix-support" + [[ -f "${prefix}/nix-support/include-in-cudatoolkit-root" ]] && return + echo "$pname-$output" > "${prefix}/nix-support/include-in-cudatoolkit-root" +} + +fixupOutputHooks+=(markForCUDAToolkit_ROOT) diff --git a/nixpkgs/pkgs/development/cuda-modules/setup-hooks/setup-cuda-hook.sh b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/setup-cuda-hook.sh new file mode 100644 index 000000000000..7b7b3bdde80e --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/setup-hooks/setup-cuda-hook.sh @@ -0,0 +1,139 @@ +# shellcheck shell=bash + +# Only run the hook from nativeBuildInputs +(( "$hostOffset" == -1 && "$targetOffset" == 0)) || return 0 + +guard=Sourcing +reason= + +[[ -n ${cudaSetupHookOnce-} ]] && guard=Skipping && reason=" because the hook has been propagated more than once" + +if (( "${NIX_DEBUG:-0}" >= 1 )) ; then + echo "$guard hostOffset=$hostOffset targetOffset=$targetOffset setupCudaHook$reason" >&2 +else + echo "$guard setup-cuda-hook$reason" >&2 +fi + +[[ "$guard" = Sourcing ]] || return 0 + +declare -g cudaSetupHookOnce=1 +declare -Ag cudaHostPathsSeen=() +declare -Ag cudaOutputToPath=() + +extendcudaHostPathsSeen() { + (( "${NIX_DEBUG:-0}" >= 1 )) && echo "extendcudaHostPathsSeen $1" >&2 + + local markerPath="$1/nix-support/include-in-cudatoolkit-root" + [[ ! -f "${markerPath}" ]] && return + [[ -v cudaHostPathsSeen[$1] ]] && return + + cudaHostPathsSeen["$1"]=1 + + # E.g. cuda_cudart-lib + local cudaOutputName + read -r cudaOutputName < "$markerPath" + + [[ -z "$cudaOutputName" ]] && return + + local oldPath="${cudaOutputToPath[$cudaOutputName]-}" + [[ -n "$oldPath" ]] && echo "extendcudaHostPathsSeen: warning: overwriting $cudaOutputName from $oldPath to $1" >&2 + cudaOutputToPath["$cudaOutputName"]="$1" +} +addEnvHooks "$targetOffset" extendcudaHostPathsSeen + +setupCUDAToolkit_ROOT() { + (( "${NIX_DEBUG:-0}" >= 1 )) && echo "setupCUDAToolkit_ROOT: cudaHostPathsSeen=${!cudaHostPathsSeen[*]}" >&2 + + for path in "${!cudaHostPathsSeen[@]}" ; do + addToSearchPathWithCustomDelimiter ";" CUDAToolkit_ROOT "$path" + if [[ -d "$path/include" ]] ; then + addToSearchPathWithCustomDelimiter ";" CUDAToolkit_INCLUDE_DIR "$path/include" + fi + done + + export cmakeFlags+=" -DCUDAToolkit_INCLUDE_DIR=$CUDAToolkit_INCLUDE_DIR -DCUDAToolkit_ROOT=$CUDAToolkit_ROOT" +} +preConfigureHooks+=(setupCUDAToolkit_ROOT) + +setupCUDAToolkitCompilers() { + echo Executing setupCUDAToolkitCompilers >&2 + + if [[ -n "${dontSetupCUDAToolkitCompilers-}" ]] ; then + return + fi + + # Point NVCC at a compatible compiler + + # For CMake-based projects: + # https://cmake.org/cmake/help/latest/module/FindCUDA.html#input-variables + # https://cmake.org/cmake/help/latest/envvar/CUDAHOSTCXX.html + # https://cmake.org/cmake/help/latest/variable/CMAKE_CUDA_HOST_COMPILER.html + + export cmakeFlags+=" -DCUDA_HOST_COMPILER=@ccFullPath@" + export cmakeFlags+=" -DCMAKE_CUDA_HOST_COMPILER=@ccFullPath@" + + # For non-CMake projects: + # We prepend --compiler-bindir to nvcc flags. + # Downstream packages can override these, because NVCC + # uses the last --compiler-bindir it gets on the command line. + # FIXME: this results in "incompatible redefinition" warnings. + # https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html#compiler-bindir-directory-ccbin + if [ -z "${CUDAHOSTCXX-}" ]; then + export CUDAHOSTCXX="@ccFullPath@"; + fi + + export NVCC_PREPEND_FLAGS+=" --compiler-bindir=@ccRoot@/bin" + + # NOTE: We set -Xfatbin=-compress-all, which reduces the size of the compiled + # binaries. If binaries grow over 2GB, they will fail to link. This is a problem for us, as + # the default set of CUDA capabilities we build can regularly cause this to occur (for + # example, with Magma). + # + # @SomeoneSerge: original comment was made by @ConnorBaker in .../cudatoolkit/common.nix + if [[ -z "${dontCompressFatbin-}" ]]; then + export NVCC_PREPEND_FLAGS+=" -Xfatbin=-compress-all" + fi + + # CMake's enable_language(CUDA) runs a compiler test and it doesn't account for + # CUDAToolkit_ROOT. We have to help it locate libcudart + if [[ -z "${nvccDontPrependCudartFlags-}" ]] ; then + if [[ ! -v cudaOutputToPath["cuda_cudart-out"] ]] ; then + echo "setupCUDAToolkitCompilers: missing cudaPackages.cuda_cudart. This may become an an error in the future" >&2 + # exit 1 + fi + for pkg in "${!cudaOutputToPath[@]}" ; do + [[ ! "$pkg" = cuda_cudart* ]] && continue + + local path="${cudaOutputToPath[$pkg]}" + if [[ -d "$path/include" ]] ; then + export NVCC_PREPEND_FLAGS+=" -I$path/include" + fi + if [[ -d "$path/lib" ]] ; then + export NVCC_PREPEND_FLAGS+=" -L$path/lib" + fi + done + fi +} +preConfigureHooks+=(setupCUDAToolkitCompilers) + +propagateCudaLibraries() { + (( "${NIX_DEBUG:-0}" >= 1 )) && echo "propagateCudaLibraries: cudaPropagateToOutput=$cudaPropagateToOutput cudaHostPathsSeen=${!cudaHostPathsSeen[*]}" >&2 + + [[ -z "${cudaPropagateToOutput-}" ]] && return + + mkdir -p "${!cudaPropagateToOutput}/nix-support" + # One'd expect this should be propagated-bulid-build-deps, but that doesn't seem to work + echo "@setupCudaHook@" >> "${!cudaPropagateToOutput}/nix-support/propagated-native-build-inputs" + + local propagatedBuildInputs=( "${!cudaHostPathsSeen[@]}" ) + for output in $(getAllOutputNames) ; do + if [[ ! "$output" = "$cudaPropagateToOutput" ]] ; then + propagatedBuildInputs+=( "${!output}" ) + fi + break + done + + # One'd expect this should be propagated-host-host-deps, but that doesn't seem to work + printWords "${propagatedBuildInputs[@]}" >> "${!cudaPropagateToOutput}/nix-support/propagated-build-inputs" +} +postFixupHooks+=(propagateCudaLibraries) diff --git a/nixpkgs/pkgs/development/cuda-modules/tensorrt/fixup.nix b/nixpkgs/pkgs/development/cuda-modules/tensorrt/fixup.nix new file mode 100644 index 000000000000..d713189328ed --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/tensorrt/fixup.nix @@ -0,0 +1,113 @@ +{ + cudaVersion, + final, + hostPlatform, + lib, + mkVersionedPackageName, + package, + patchelf, + requireFile, + ... +}: +let + inherit (lib) + maintainers + meta + strings + versions + ; +in +finalAttrs: prevAttrs: { + # Useful for inspecting why something went wrong. + brokenConditions = + let + cudaTooOld = strings.versionOlder cudaVersion package.minCudaVersion; + cudaTooNew = + (package.maxCudaVersion != null) && strings.versionOlder package.maxCudaVersion cudaVersion; + cudnnVersionIsSpecified = package.cudnnVersion != null; + cudnnVersionSpecified = versions.majorMinor package.cudnnVersion; + cudnnVersionProvided = versions.majorMinor finalAttrs.passthru.cudnn.version; + cudnnTooOld = + cudnnVersionIsSpecified && (strings.versionOlder cudnnVersionProvided cudnnVersionSpecified); + cudnnTooNew = + cudnnVersionIsSpecified && (strings.versionOlder cudnnVersionSpecified cudnnVersionProvided); + in + prevAttrs.brokenConditions + // { + "CUDA version is too old" = cudaTooOld; + "CUDA version is too new" = cudaTooNew; + "CUDNN version is too old" = cudnnTooOld; + "CUDNN version is too new" = cudnnTooNew; + }; + + src = requireFile { + name = package.filename; + inherit (package) hash; + message = '' + To use the TensorRT derivation, you must join the NVIDIA Developer Program and + download the ${package.version} TAR package for CUDA ${cudaVersion} from + ${finalAttrs.meta.homepage}. + + Once you have downloaded the file, add it to the store with the following + command, and try building this derivation again. + + $ nix-store --add-fixed sha256 ${package.filename} + ''; + }; + + # We need to look inside the extracted output to get the files we need. + sourceRoot = "TensorRT-${finalAttrs.version}"; + + buildInputs = prevAttrs.buildInputs ++ [finalAttrs.passthru.cudnn.lib]; + + preInstall = + let + targetArch = + if hostPlatform.isx86_64 then + "x86_64-linux-gnu" + else if hostPlatform.isAarch64 then + "aarch64-linux-gnu" + else + throw "Unsupported architecture"; + in + (prevAttrs.preInstall or "") + + '' + # Replace symlinks to bin and lib with the actual directories from targets. + for dir in bin lib; do + rm "$dir" + mv "targets/${targetArch}/$dir" "$dir" + done + ''; + + # Tell autoPatchelf about runtime dependencies. + postFixup = + let + versionTriple = "${versions.majorMinor finalAttrs.version}.${versions.patch finalAttrs.version}"; + in + (prevAttrs.postFixup or "") + + '' + ${meta.getExe' patchelf "patchelf"} --add-needed libnvinfer.so \ + "$lib/lib/libnvinfer.so.${versionTriple}" \ + "$lib/lib/libnvinfer_plugin.so.${versionTriple}" \ + "$lib/lib/libnvinfer_builder_resource.so.${versionTriple}" + ''; + + passthru = { + useCudatoolkitRunfile = strings.versionOlder cudaVersion "11.3.999"; + # The CUDNN used with TensorRT. + # If null, the default cudnn derivation will be used. + # If a version is specified, the cudnn derivation with that version will be used, + # unless it is not available, in which case the default cudnn derivation will be used. + cudnn = + let + desiredName = mkVersionedPackageName "cudnn" package.cudnnVersion; + desiredIsAvailable = final ? desiredName; + in + if package.cudnnVersion == null || !desiredIsAvailable then final.cudnn else final.${desiredName}; + }; + + meta = prevAttrs.meta // { + homepage = "https://developer.nvidia.com/tensorrt"; + maintainers = prevAttrs.meta.maintainers ++ [maintainers.aidalgol]; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/tensorrt/releases.nix b/nixpkgs/pkgs/development/cuda-modules/tensorrt/releases.nix new file mode 100644 index 000000000000..d6a1f0487dd4 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/tensorrt/releases.nix @@ -0,0 +1,130 @@ +# NOTE: Check https://developer.nvidia.com/nvidia-tensorrt-8x-download. +# Version policy is to keep the latest minor release for each major release. +{ + tensorrt.releases = { + # jetson + linux-aarch64 = []; + # powerpc + linux-ppc64le = []; + # server-grade arm + linux-sbsa = [ + { + version = "8.2.5.1"; + minCudaVersion = "11.4"; + maxCudaVersion = "11.4"; + cudnnVersion = "8.2"; + filename = "TensorRT-8.2.5.1.Ubuntu-20.04.aarch64-gnu.cuda-11.4.cudnn8.2.tar.gz"; + hash = "sha256-oWfQ3lq2aoMPv65THeotnMilTzP+QWqKeToLU8eO+qo="; + } + { + version = "8.4.3.1"; + minCudaVersion = "11.6"; + maxCudaVersion = "11.6"; + cudnnVersion = "8.4"; + filename = "TensorRT-8.4.3.1.Ubuntu-20.04.aarch64-gnu.cuda-11.6.cudnn8.4.tar.gz"; + hash = "sha256-9tLlrB8cKYFvN2xF0Pol5CZs06iuuI5mq+6jpzD8wWI="; + } + { + version = "8.5.3.1"; + minCudaVersion = "11.8"; + maxCudaVersion = "11.8"; + cudnnVersion = "8.6"; + filename = "TensorRT-8.5.3.1.Ubuntu-20.04.aarch64-gnu.cuda-11.8.cudnn8.6.tar.gz"; + hash = "sha256-GW//mX0brvN/waHo9Wd07xerOEz3X/H/HAW2ZehYtTA="; + } + { + version = "8.6.1.6"; + minCudaVersion = "12.0"; + maxCudaVersion = "12.0"; + cudnnVersion = null; + filename = "TensorRT-8.6.1.6.Ubuntu-20.04.aarch64-gnu.cuda-12.0.tar.gz"; + hash = "sha256-Lc4+v/yBr17VlecCSFMLUDlXMTYV68MGExwnUjGme5E="; + } + ]; + # x86_64 + linux-x86_64 = [ + { + version = "8.0.3.4"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + cudnnVersion = "8.2"; + filename = "TensorRT-8.0.3.4.Linux.x86_64-gnu.cuda-10.2.cudnn8.2.tar.gz"; + hash = "sha256-LxcXgwe1OCRfwDsEsNLIkeNsOcx3KuF5Sj+g2dY6WD0="; + } + { + version = "8.0.3.4"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.3"; + cudnnVersion = "8.2"; + filename = "TensorRT-8.0.3.4.Linux.x86_64-gnu.cuda-11.3.cudnn8.2.tar.gz"; + hash = "sha256-MXdDUCT/SqWm26jB7QarEcwOG/O7cS36Y6Q0IvQTE/M="; + } + { + version = "8.2.5.1"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + cudnnVersion = "8.2"; + filename = "TensorRT-8.2.5.1.Linux.x86_64-gnu.cuda-10.2.cudnn8.2.tar.gz"; + hash = "sha256-XV2Bf2LH8OM2GEMjV80MDweb1hSVF/wFUcaW3KP2m8Q="; + } + { + # The docs claim this supports through 11.5 despite the file name indicating 11.4. + version = "8.2.5.1"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.5"; + cudnnVersion = "8.2"; + filename = "TensorRT-8.2.5.1.Linux.x86_64-gnu.cuda-11.4.cudnn8.2.tar.gz"; + hash = "sha256-LcNpYvDiT7AavqzK1MRlijo2qDN7jznigeS77US713E="; + } + { + version = "8.4.3.1"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + cudnnVersion = "8.4"; + filename = "TensorRT-8.4.3.1.Linux.x86_64-gnu.cuda-10.2.cudnn8.4.tar.gz"; + hash = "sha256-2c3Zzt93FBWWQtrSIvpbzzS6BT9s0NzALzdwXGLOZEU="; + } + { + # The docs claim this supports through 11.7 despite the file name indicating 11.6. + version = "8.4.3.1"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.7"; + cudnnVersion = "8.4"; + filename = "TensorRT-8.4.3.1.Linux.x86_64-gnu.cuda-11.6.cudnn8.4.tar.gz"; + hash = "sha256-jXwghcFjncxzh1BIwjWYqFJs4wiRNoduMdkCWOSeT2E="; + } + { + version = "8.5.3.1"; + minCudaVersion = "10.2"; + maxCudaVersion = "10.2"; + cudnnVersion = "8.6"; + filename = "TensorRT-8.5.3.1.Linux.x86_64-gnu.cuda-10.2.cudnn8.6.tar.gz"; + hash = "sha256-WCt6yfOmFbrjqdYCj6AE2+s2uFpISwk6urP+2I0BnGQ="; + } + { + version = "8.5.3.1"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + cudnnVersion = "8.6"; + filename = "TensorRT-8.5.3.1.Linux.x86_64-gnu.cuda-11.8.cudnn8.6.tar.gz"; + hash = "sha256-BNeuOYvPTUAfGxI0DVsNrX6Z/FAB28+SE0ptuGu7YDY="; + } + { + version = "8.6.1.6"; + minCudaVersion = "11.0"; + maxCudaVersion = "11.8"; + cudnnVersion = "8.9"; + filename = "TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-11.8.tar.gz"; + hash = "sha256-Fb/mBT1F/uxF7McSOpEGB2sLQ/oENfJC2J3KB3gzd1k="; + } + { + version = "8.6.1.6"; + minCudaVersion = "12.0"; + maxCudaVersion = "12.1"; + cudnnVersion = "8.9"; + filename = "TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0.tar.gz"; + hash = "sha256-D4FXpfxTKZQ7M4uJNZE3M1CvqQyoEjnNrddYDNHrolQ="; + } + ]; + }; +} diff --git a/nixpkgs/pkgs/development/cuda-modules/tensorrt/shims.nix b/nixpkgs/pkgs/development/cuda-modules/tensorrt/shims.nix new file mode 100644 index 000000000000..8be3e7988bb3 --- /dev/null +++ b/nixpkgs/pkgs/development/cuda-modules/tensorrt/shims.nix @@ -0,0 +1,16 @@ +# Shims to mimic the shape of ../modules/generic/manifests/{feature,redistrib}/release.nix +{package, redistArch}: +{ + featureRelease.${redistArch}.outputs = { + bin = true; + lib = true; + static = true; + dev = true; + sample = true; + python = true; + }; + redistribRelease = { + name = "TensorRT: a high-performance deep learning interface"; + inherit (package) version; + }; +} |