Merge pull request #217363 from ConnorBaker/feat/cudnn-8.8.0
cudnn: init 8.8.0; rewrite to assist maintainability
This commit is contained in:
Samuel Ainsworth
GitHub
commit
3bc99d82aa
@ -1,249 +1,80 @@
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# Support matrix can be found at
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-880/support-matrix/index.html
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# Type aliases
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# Release = {
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# version: String,
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# minCudaVersion: String,
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# maxCudaVersion: String,
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# url: String,
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# hash: String,
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# }
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final: prev: let
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inherit (final) callPackage;
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inherit (prev) cudatoolkit cudaVersion lib pkgs;
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inherit (prev.lib.versions) major;
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inherit (prev) cudaVersion;
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inherit (prev.lib) attrsets lists versions strings trivial;
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### CuDNN
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# Utilities
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# majorMinorPatch :: String -> String
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majorMinorPatch = (trivial.flip trivial.pipe) [
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(versions.splitVersion)
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(lists.take 3)
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(strings.concatStringsSep ".")
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];
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buildCuDnnPackage = args:
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let
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useCudatoolkitRunfile = lib.versionOlder cudaVersion "11.3.999";
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in
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callPackage ./generic.nix { inherit useCudatoolkitRunfile; } args;
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# Compute versioned attribute name to be used in this package set
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# computeName :: String -> String
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computeName = version: "cudnn_${strings.replaceStrings ["."] ["_"] (majorMinorPatch version)}";
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toUnderscore = str: lib.replaceStrings ["."] ["_"] str;
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# Check whether a CUDNN release supports our CUDA version
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# Thankfully we're able to do lexicographic comparison on the version strings
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# isSupported :: Release -> Bool
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isSupported = release:
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strings.versionAtLeast cudaVersion release.minCudaVersion
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&& strings.versionAtLeast release.maxCudaVersion cudaVersion;
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majorMinorPatch = str: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion str));
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# useCudatoolkitRunfile :: Bool
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useCudatoolkitRunfile = strings.versionOlder cudaVersion "11.3.999";
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cuDnnPackages = with lib; let
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# Check whether a file is supported for our cuda version
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isSupported = fileData: elem cudaVersion fileData.supportedCudaVersions;
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# Return the first file that is supported. In practice there should only ever be one anyway.
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supportedFile = files: findFirst isSupported null files;
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# Supported versions with versions as keys and file as value
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supportedVersions = filterAttrs (version: file: file !=null ) (mapAttrs (version: files: supportedFile files) cuDnnVersions);
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# Compute versioned attribute name to be used in this package set
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computeName = version: "cudnn_${toUnderscore version}";
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# Add all supported builds as attributes
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allBuilds = mapAttrs' (version: file: nameValuePair (computeName version) (buildCuDnnPackage (removeAttrs file ["fileVersion"]))) supportedVersions;
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# Set the default attributes, e.g. cudnn = cudnn_8_3_1;
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defaultBuild = { "cudnn" = if allBuilds ? ${computeName cuDnnDefaultVersion}
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then allBuilds.${computeName cuDnnDefaultVersion}
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else throw "cudnn-${cuDnnDefaultVersion} does not support your cuda version ${cudaVersion}"; };
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in allBuilds // defaultBuild;
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# buildCuDnnPackage :: Release -> Derivation
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buildCuDnnPackage = callPackage ./generic.nix {inherit useCudatoolkitRunfile;};
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cuDnnVersions = let
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urlPrefix = "https://developer.download.nvidia.com/compute/redist/cudnn";
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in {
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"7.4.2" = [
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rec {
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fileVersion = "10.0";
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fullVersion = "7.4.2.24";
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hash = "sha256-Lt/IagK1DRfojEeJVaMy5qHoF05+U6NFi06lH68C2qM=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-10.0-linux-x64-v${fullVersion}.tgz";
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supportedCudaVersions = [ "10.0" ];
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}
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];
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"7.6.5" = [
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rec {
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fileVersion = "10.0";
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fullVersion = "7.6.5.32";
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hash = "sha256-KDVeOV8LK5OsLIO2E2CzW6bNA3fkTni+GXtrYbS0kro=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz";
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supportedCudaVersions = [ "10.0" ];
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}
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rec {
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fileVersion = "10.1";
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fullVersion = "7.6.5.32";
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hash = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLM=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz";
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supportedCudaVersions = [ "10.1" ];
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}
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rec {
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fileVersion = "10.2";
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fullVersion = "7.6.5.32";
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hash = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLN=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz";
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supportedCudaVersions = [ "10.2" ];
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}
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];
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"8.0.5" = [
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rec {
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fileVersion = "10.1";
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fullVersion = "8.0.5.39";
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hash = "sha256-kJCElSmIlrM6qVBjo0cfk8NmJ9esAcF9w211xl7qSgA=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-805/support-matrix/index.html
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supportedCudaVersions = [ "10.1" ];
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}
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rec {
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fileVersion = "10.2";
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fullVersion = "8.0.5.39";
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hash = "sha256-IfhMBcZ78eyFnnfDjM1b8VSWT6HDCPRJlZvkw1bjgvM=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-805/support-matrix/index.html
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supportedCudaVersions = [ "10.2" ];
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}
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rec {
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fileVersion = "11.0";
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fullVersion = "8.0.5.39";
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hash = "sha256-ThbueJXetKixwZS4ErpJWG730mkCBRQB03F1EYmKm3M=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-805/support-matrix/index.html
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supportedCudaVersions = [ "11.0" ];
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}
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rec {
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fileVersion = "11.1";
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fullVersion = "8.0.5.39";
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hash = "sha256-HQRr+nk5navMb2yxUHkYdUQ5RC6gyp4Pvs3URvmwDM4=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-805/support-matrix/index.html
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supportedCudaVersions = [ "11.1" ];
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}
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];
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"8.1.1" = [
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rec {
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fileVersion = "10.2";
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fullVersion = "8.1.1.33";
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hash = "sha256-Kkp7mabpv6aQ6xm7QeSVU/KnpJGls6v8rpAOFmxbbr0=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-811/support-matrix/index.html#cudnn-versions-810-811
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supportedCudaVersions = [ "10.2" ];
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}
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rec {
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fileVersion = "11.2";
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fullVersion = "8.1.1.33";
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hash = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-811/support-matrix/index.html#cudnn-versions-810-811
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supportedCudaVersions = [ "11.0" "11.1" "11.2" ];
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}
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];
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"8.2.4" = [
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rec {
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fileVersion = "10.2";
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fullVersion = "8.2.4.15";
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hash = "sha256-0jyUoxFaHHcRamwSfZF1+/WfcjNkN08mo0aZB18yIvE=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-824/support-matrix/index.html
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supportedCudaVersions = [ "10.2" ];
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}
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rec {
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fileVersion = "11.4";
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fullVersion = "8.2.4.15";
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hash = "sha256-Dl0t+JC5ln76ZhnaQhMQ2XMjVlp58FoajLm3Fluq0Nc=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-824/support-matrix/index.html
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supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" ];
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}
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];
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"8.3.3" = [
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rec {
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fileVersion = "10.2";
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fullVersion = "8.3.3.40";
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hash = "sha256-2FVPKzLmKV1fyPOsJeaPlAWLAYyAHaucFD42gS+JJqs=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-833/support-matrix/index.html
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supportedCudaVersions = [ "10.2" ];
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}
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rec {
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fileVersion = "11.5";
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fullVersion = "8.3.3.40";
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hash = "sha256-6r6Wx1zwPqT1N5iU2RTx+K4UzqsSGYnoSwg22Sf7dzE=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-833/support-matrix/index.html
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supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" ];
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}
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];
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"8.4.1" = [
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rec {
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fileVersion = "10.2";
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fullVersion = "8.4.1.50";
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hash = "sha256-I88qMmU6lIiLVmaPuX7TTbisgTav839mssxUo3lQNjg=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-841/support-matrix/index.html
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supportedCudaVersions = [ "10.2" ];
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}
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rec {
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fileVersion = "11.6";
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fullVersion = "8.4.1.50";
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hash = "sha256-7JbSN22B/KQr3T1MPXBambKaBlurV/kgVhx2PinGfQE=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-841/support-matrix/index.html
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supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" "11.7" ];
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}
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];
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"8.5.0" = [
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rec {
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fileVersion = "10.2";
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fullVersion = "8.5.0.96";
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hash = "sha256-1mzhbbzR40WKkHnQLtJHhg0vYgf7G8a0OBcCwIOkJjM=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-850/support-matrix/index.html
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supportedCudaVersions = [ "10.2" ];
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}
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rec {
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fileVersion = "11.7";
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fullVersion = "8.5.0.96";
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hash = "sha256-VFSm/ZTwCHKMqumtrZk8ToXvNjAuJrzkO+p9RYpee20=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-850/support-matrix/index.html
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supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" "11.7" ];
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}
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];
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"8.6.0" = [
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rec {
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fileVersion = "10.2";
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fullVersion = "8.6.0.163";
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hash = "sha256-t4sr/GrFqqdxu2VhaJQk5K1Xm/0lU4chXG8hVL09R9k=";
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-860/support-matrix/index.html
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supportedCudaVersions = [ "10.2" ];
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}
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rec {
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fileVersion = "11.8";
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fullVersion = "8.6.0.163";
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hash = "sha256-u8OW30cpTGV+3AnGAGdNYIyxv8gLgtz0VHBgwhcRFZ4=";
|
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-860/support-matrix/index.html
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supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" "11.7" "11.8" ];
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}
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];
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"8.7.0" = [
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rec {
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fileVersion = "10.2";
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fullVersion = "8.7.0.84";
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hash = "sha256-bZhaqc8+GbPV2FQvvbbufd8VnEJgvfkICc2N3/gitRg=";
|
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-870/support-matrix/index.html
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supportedCudaVersions = [ "10.2" ];
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}
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rec {
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fileVersion = "11.8";
|
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fullVersion = "8.7.0.84";
|
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hash = "sha256-l2xMunIzyXrnQAavq1Fyl2MAukD1slCiH4z3H1nJ920=";
|
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url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
|
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# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-870/support-matrix/index.html
|
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supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" "11.7" "11.8" ];
|
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}
|
||||
];
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# Reverse the list to have the latest release first
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# cudnnReleases :: List Release
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cudnnReleases = lists.reverseList (builtins.import ./releases.nix);
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# Check whether a CUDNN release supports our CUDA version
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# supportedReleases :: NonEmptyList Release
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supportedReleases = let
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filtered = builtins.filter isSupported cudnnReleases;
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nonEmptyFiltered =
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trivial.throwIf (filtered == [])
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''
|
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CUDNN does not support your cuda version ${cudaVersion}
|
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''
|
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filtered;
|
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in
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||||
nonEmptyFiltered;
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||||
|
||||
# The latest release is the first element of the list and will be our default choice
|
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# latestReleaseName :: String
|
||||
latestReleaseName = computeName (builtins.head supportedReleases).version;
|
||||
|
||||
# Function to transform our releases into build attributes
|
||||
# toBuildAttrs :: Release -> { name: String, value: Derivation }
|
||||
toBuildAttrs = release: {
|
||||
name = computeName release.version;
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||||
value = buildCuDnnPackage release;
|
||||
};
|
||||
|
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# Default attributes
|
||||
cuDnnDefaultVersion = {
|
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"10.0" = "7.4.2";
|
||||
"10.1" = "8.0.5";
|
||||
"10.2" = "8.7.0";
|
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"11.0" = "8.7.0";
|
||||
"11.1" = "8.7.0";
|
||||
"11.2" = "8.7.0";
|
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"11.3" = "8.7.0";
|
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"11.4" = "8.7.0";
|
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"11.5" = "8.7.0";
|
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"11.6" = "8.7.0";
|
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"11.7" = "8.7.0";
|
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"11.8" = "8.7.0";
|
||||
}.${cudaVersion} or "8.7.0";
|
||||
# Add all supported builds as attributes
|
||||
# allBuilds :: AttrSet String Derivation
|
||||
allBuilds = builtins.listToAttrs (builtins.map toBuildAttrs supportedReleases);
|
||||
|
||||
in cuDnnPackages
|
||||
# The latest release will be our default build
|
||||
# defaultBuild :: AttrSet String Derivation
|
||||
defaultBuild.cudnn = allBuilds.${latestReleaseName};
|
||||
|
||||
# builds :: AttrSet String Derivation
|
||||
builds = allBuilds // defaultBuild;
|
||||
in
|
||||
builds
|
||||
|
||||
@ -1,113 +1,128 @@
|
||||
{ stdenv
|
||||
, lib
|
||||
, zlib
|
||||
, useCudatoolkitRunfile ? false
|
||||
, cudaVersion
|
||||
, cudaMajorVersion
|
||||
, cudatoolkit # if cuda>=11: only used for .cc
|
||||
, libcublas ? null # cuda <11 doesn't ship redist packages
|
||||
, autoPatchelfHook
|
||||
, autoAddOpenGLRunpathHook
|
||||
, fetchurl
|
||||
, # The distributed version of CUDNN includes both dynamically liked .so files,
|
||||
{
|
||||
stdenv,
|
||||
lib,
|
||||
zlib,
|
||||
useCudatoolkitRunfile ? false,
|
||||
cudaVersion,
|
||||
cudaMajorVersion,
|
||||
cudatoolkit, # if cuda>=11: only used for .cc
|
||||
libcublas ? null, # cuda <11 doesn't ship redist packages
|
||||
autoPatchelfHook,
|
||||
autoAddOpenGLRunpathHook,
|
||||
fetchurl,
|
||||
# The distributed version of CUDNN includes both dynamically liked .so files,
|
||||
# as well as statically linked .a files. However, CUDNN is quite large
|
||||
# (multiple gigabytes), so you can save some space in your nix store by
|
||||
# removing the statically linked libraries if you are not using them.
|
||||
#
|
||||
# Setting this to true removes the statically linked .a files.
|
||||
# Setting this to false keeps these statically linked .a files.
|
||||
removeStatic ? false
|
||||
removeStatic ? false,
|
||||
}: {
|
||||
version,
|
||||
url,
|
||||
hash,
|
||||
minCudaVersion,
|
||||
maxCudaVersion,
|
||||
}:
|
||||
|
||||
{ fullVersion
|
||||
, url
|
||||
, hash
|
||||
, supportedCudaVersions ? [ ]
|
||||
}:
|
||||
|
||||
assert useCudatoolkitRunfile || (libcublas != null);
|
||||
|
||||
let
|
||||
assert useCudatoolkitRunfile || (libcublas != null); let
|
||||
inherit (cudatoolkit) cc;
|
||||
inherit (lib) lists strings trivial versions;
|
||||
|
||||
majorMinorPatch = version: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion version));
|
||||
version = majorMinorPatch fullVersion;
|
||||
# majorMinorPatch :: String -> String
|
||||
majorMinorPatch = (trivial.flip trivial.pipe) [
|
||||
(versions.splitVersion)
|
||||
(lists.take 3)
|
||||
(strings.concatStringsSep ".")
|
||||
];
|
||||
|
||||
# versionTriple :: String
|
||||
# Version with three components: major.minor.patch
|
||||
versionTriple = majorMinorPatch version;
|
||||
|
||||
# cudatoolkit_root :: Derivation
|
||||
cudatoolkit_root =
|
||||
if useCudatoolkitRunfile
|
||||
then cudatoolkit
|
||||
else libcublas;
|
||||
in
|
||||
stdenv.mkDerivation {
|
||||
pname = "cudatoolkit-${cudaMajorVersion}-cudnn";
|
||||
inherit version;
|
||||
stdenv.mkDerivation {
|
||||
pname = "cudatoolkit-${cudaMajorVersion}-cudnn";
|
||||
version = versionTriple;
|
||||
|
||||
src = fetchurl {
|
||||
inherit url hash;
|
||||
};
|
||||
src = fetchurl {
|
||||
inherit url hash;
|
||||
};
|
||||
|
||||
# Check and normalize Runpath against DT_NEEDED using autoPatchelf.
|
||||
# Prepend /run/opengl-driver/lib using addOpenGLRunpath for dlopen("libcudacuda.so")
|
||||
nativeBuildInputs = [
|
||||
autoPatchelfHook
|
||||
autoAddOpenGLRunpathHook
|
||||
];
|
||||
# Check and normalize Runpath against DT_NEEDED using autoPatchelf.
|
||||
# Prepend /run/opengl-driver/lib using addOpenGLRunpath for dlopen("libcudacuda.so")
|
||||
nativeBuildInputs = [
|
||||
autoPatchelfHook
|
||||
autoAddOpenGLRunpathHook
|
||||
];
|
||||
|
||||
# Used by autoPatchelfHook
|
||||
buildInputs = [
|
||||
cc.cc.lib # libstdc++
|
||||
zlib
|
||||
cudatoolkit_root
|
||||
];
|
||||
# Used by autoPatchelfHook
|
||||
buildInputs = [
|
||||
cc.cc.lib # libstdc++
|
||||
zlib
|
||||
cudatoolkit_root
|
||||
];
|
||||
|
||||
# We used to patch Runpath here, but now we use autoPatchelfHook
|
||||
#
|
||||
# Note also that version <=8.3.0 contained a subdirectory "lib64/" but in
|
||||
# version 8.3.2 it seems to have been renamed to simply "lib/".
|
||||
installPhase = ''
|
||||
runHook preInstall
|
||||
# We used to patch Runpath here, but now we use autoPatchelfHook
|
||||
#
|
||||
# Note also that version <=8.3.0 contained a subdirectory "lib64/" but in
|
||||
# version 8.3.2 it seems to have been renamed to simply "lib/".
|
||||
installPhase =
|
||||
''
|
||||
runHook preInstall
|
||||
|
||||
mkdir -p $out
|
||||
cp -a include $out/include
|
||||
[ -d "lib/" ] && cp -a lib $out/lib
|
||||
[ -d "lib64/" ] && cp -a lib64 $out/lib64
|
||||
'' + lib.optionalString removeStatic ''
|
||||
rm -f $out/lib/*.a
|
||||
rm -f $out/lib64/*.a
|
||||
'' + ''
|
||||
runHook postInstall
|
||||
'';
|
||||
mkdir -p $out
|
||||
cp -a include $out/include
|
||||
[ -d "lib/" ] && cp -a lib $out/lib
|
||||
[ -d "lib64/" ] && cp -a lib64 $out/lib64
|
||||
''
|
||||
+ strings.optionalString removeStatic ''
|
||||
rm -f $out/lib/*.a
|
||||
rm -f $out/lib64/*.a
|
||||
''
|
||||
+ ''
|
||||
runHook postInstall
|
||||
'';
|
||||
|
||||
# Without --add-needed autoPatchelf forgets $ORIGIN on cuda>=8.0.5.
|
||||
postFixup = lib.optionalString (lib.versionAtLeast fullVersion "8.0.5") ''
|
||||
patchelf $out/lib/libcudnn.so --add-needed libcudnn_cnn_infer.so
|
||||
'';
|
||||
# Without --add-needed autoPatchelf forgets $ORIGIN on cuda>=8.0.5.
|
||||
postFixup = strings.optionalString (strings.versionAtLeast versionTriple "8.0.5") ''
|
||||
patchelf $out/lib/libcudnn.so --add-needed libcudnn_cnn_infer.so
|
||||
'';
|
||||
|
||||
passthru = {
|
||||
inherit useCudatoolkitRunfile;
|
||||
passthru = {
|
||||
inherit useCudatoolkitRunfile;
|
||||
|
||||
cudatoolkit = lib.warn ''
|
||||
cudnn.cudatoolkit passthru attribute is deprecated;
|
||||
if your derivation uses cudnn directly, it should probably consume cudaPackages instead
|
||||
''
|
||||
cudatoolkit;
|
||||
cudatoolkit =
|
||||
trivial.warn
|
||||
''
|
||||
cudnn.cudatoolkit passthru attribute is deprecated;
|
||||
if your derivation uses cudnn directly, it should probably consume cudaPackages instead
|
||||
''
|
||||
cudatoolkit;
|
||||
|
||||
majorVersion = lib.versions.major version;
|
||||
};
|
||||
majorVersion = versions.major versionTriple;
|
||||
};
|
||||
|
||||
meta = with lib; {
|
||||
# Check that the cudatoolkit version satisfies our min/max constraints (both
|
||||
# inclusive). We mark the package as broken if it fails to satisfies the
|
||||
# official version constraints (as recorded in default.nix). In some cases
|
||||
# you _may_ be able to smudge version constraints, just know that you're
|
||||
# embarking into unknown and unsupported territory when doing so.
|
||||
broken = !(elem cudaVersion supportedCudaVersions);
|
||||
description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
|
||||
homepage = "https://developer.nvidia.com/cudnn";
|
||||
sourceProvenance = with sourceTypes; [ binaryNativeCode ];
|
||||
# TODO: consider marking unfreRedistributable when not using runfile
|
||||
license = licenses.unfree;
|
||||
platforms = [ "x86_64-linux" ];
|
||||
maintainers = with maintainers; [ mdaiter samuela ];
|
||||
};
|
||||
}
|
||||
meta = with lib; {
|
||||
# Check that the cudatoolkit version satisfies our min/max constraints (both
|
||||
# inclusive). We mark the package as broken if it fails to satisfies the
|
||||
# official version constraints (as recorded in default.nix). In some cases
|
||||
# you _may_ be able to smudge version constraints, just know that you're
|
||||
# embarking into unknown and unsupported territory when doing so.
|
||||
broken =
|
||||
strings.versionOlder cudaVersion minCudaVersion
|
||||
|| strings.versionOlder maxCudaVersion cudaVersion;
|
||||
description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
|
||||
homepage = "https://developer.nvidia.com/cudnn";
|
||||
sourceProvenance = with sourceTypes; [binaryNativeCode];
|
||||
# TODO: consider marking unfreRedistributable when not using runfile
|
||||
license = licenses.unfree;
|
||||
platforms = ["x86_64-linux"];
|
||||
maintainers = with maintainers; [mdaiter samuela];
|
||||
};
|
||||
}
|
||||
|
||||
170
pkgs/development/libraries/science/math/cudnn/releases.nix
Normal file
170
pkgs/development/libraries/science/math/cudnn/releases.nix
Normal file
@ -0,0 +1,170 @@
|
||||
[
|
||||
{
|
||||
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-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLN=";
|
||||
}
|
||||
{
|
||||
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 = "8.8.0.121";
|
||||
minCudaVersion = "11.0";
|
||||
maxCudaVersion = "11.8";
|
||||
url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.8.0.121_cuda11-archive.tar.xz";
|
||||
hash = "sha256-YgRkdgdtG0VfsT+3izjTSWusr7/bsElPszkiQKBEZuo=";
|
||||
}
|
||||
{
|
||||
version = "8.8.0.121";
|
||||
minCudaVersion = "12.0";
|
||||
maxCudaVersion = "12.0";
|
||||
url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.8.0.121_cuda12-archive.tar.xz";
|
||||
hash = "sha256-oHkrZmyq9ZOp3UEwl5V4/Tp4Iw9EB2RcKVcA7456qvI=";
|
||||
}
|
||||
]
|
||||
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Reference in New Issue
Block a user