Merge pull request #217363 from ConnorBaker/feat/cudnn-8.8.0

cudnn: init 8.8.0; rewrite to assist maintainability
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Samuel Ainsworth 2023-02-27 20:18:05 -05:00 committed by GitHub
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3 changed files with 342 additions and 326 deletions

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# Support matrix can be found at
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-880/support-matrix/index.html
# Type aliases
# Release = {
# version: String,
# minCudaVersion: String,
# maxCudaVersion: String,
# url: String,
# hash: String,
# }
final: prev: let final: prev: let
inherit (final) callPackage; inherit (final) callPackage;
inherit (prev) cudatoolkit cudaVersion lib pkgs; inherit (prev) cudaVersion;
inherit (prev.lib.versions) major; inherit (prev.lib) attrsets lists versions strings trivial;
### CuDNN # Utilities
# majorMinorPatch :: String -> String
majorMinorPatch = (trivial.flip trivial.pipe) [
(versions.splitVersion)
(lists.take 3)
(strings.concatStringsSep ".")
];
buildCuDnnPackage = args: # Compute versioned attribute name to be used in this package set
let # computeName :: String -> String
useCudatoolkitRunfile = lib.versionOlder cudaVersion "11.3.999"; computeName = version: "cudnn_${strings.replaceStrings ["."] ["_"] (majorMinorPatch version)}";
in
callPackage ./generic.nix { inherit useCudatoolkitRunfile; } args;
toUnderscore = str: lib.replaceStrings ["."] ["_"] str; # Check whether a CUDNN release supports our CUDA version
# Thankfully we're able to do lexicographic comparison on the version strings
# isSupported :: Release -> Bool
isSupported = release:
strings.versionAtLeast cudaVersion release.minCudaVersion
&& strings.versionAtLeast release.maxCudaVersion cudaVersion;
majorMinorPatch = str: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion str)); # useCudatoolkitRunfile :: Bool
useCudatoolkitRunfile = strings.versionOlder cudaVersion "11.3.999";
cuDnnPackages = with lib; let # buildCuDnnPackage :: Release -> Derivation
# Check whether a file is supported for our cuda version buildCuDnnPackage = callPackage ./generic.nix {inherit useCudatoolkitRunfile;};
isSupported = fileData: elem cudaVersion fileData.supportedCudaVersions;
# Return the first file that is supported. In practice there should only ever be one anyway.
supportedFile = files: findFirst isSupported null files;
# Supported versions with versions as keys and file as value
supportedVersions = filterAttrs (version: file: file !=null ) (mapAttrs (version: files: supportedFile files) cuDnnVersions);
# Compute versioned attribute name to be used in this package set
computeName = version: "cudnn_${toUnderscore version}";
# Add all supported builds as attributes
allBuilds = mapAttrs' (version: file: nameValuePair (computeName version) (buildCuDnnPackage (removeAttrs file ["fileVersion"]))) supportedVersions;
# Set the default attributes, e.g. cudnn = cudnn_8_3_1;
defaultBuild = { "cudnn" = if allBuilds ? ${computeName cuDnnDefaultVersion}
then allBuilds.${computeName cuDnnDefaultVersion}
else throw "cudnn-${cuDnnDefaultVersion} does not support your cuda version ${cudaVersion}"; };
in allBuilds // defaultBuild;
cuDnnVersions = let # Reverse the list to have the latest release first
urlPrefix = "https://developer.download.nvidia.com/compute/redist/cudnn"; # cudnnReleases :: List Release
in { cudnnReleases = lists.reverseList (builtins.import ./releases.nix);
"7.4.2" = [
rec { # Check whether a CUDNN release supports our CUDA version
fileVersion = "10.0"; # supportedReleases :: NonEmptyList Release
fullVersion = "7.4.2.24"; supportedReleases = let
hash = "sha256-Lt/IagK1DRfojEeJVaMy5qHoF05+U6NFi06lH68C2qM="; filtered = builtins.filter isSupported cudnnReleases;
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-10.0-linux-x64-v${fullVersion}.tgz"; nonEmptyFiltered =
supportedCudaVersions = [ "10.0" ]; trivial.throwIf (filtered == [])
} ''
]; CUDNN does not support your cuda version ${cudaVersion}
"7.6.5" = [ ''
rec { filtered;
fileVersion = "10.0"; in
fullVersion = "7.6.5.32"; nonEmptyFiltered;
hash = "sha256-KDVeOV8LK5OsLIO2E2CzW6bNA3fkTni+GXtrYbS0kro=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz"; # The latest release is the first element of the list and will be our default choice
supportedCudaVersions = [ "10.0" ]; # latestReleaseName :: String
} latestReleaseName = computeName (builtins.head supportedReleases).version;
rec {
fileVersion = "10.1"; # Function to transform our releases into build attributes
fullVersion = "7.6.5.32"; # toBuildAttrs :: Release -> { name: String, value: Derivation }
hash = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLM="; toBuildAttrs = release: {
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz"; name = computeName release.version;
supportedCudaVersions = [ "10.1" ]; value = buildCuDnnPackage release;
}
rec {
fileVersion = "10.2";
fullVersion = "7.6.5.32";
hash = "sha256-fq7IA5osMKsLx1jTA1iHZ2k972v0myJIWiwAvy4TbLN=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${cudatoolkit.majorVersion}-linux-x64-v${fullVersion}.tgz";
supportedCudaVersions = [ "10.2" ];
}
];
"8.0.5" = [
rec {
fileVersion = "10.1";
fullVersion = "8.0.5.39";
hash = "sha256-kJCElSmIlrM6qVBjo0cfk8NmJ9esAcF9w211xl7qSgA=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-805/support-matrix/index.html
supportedCudaVersions = [ "10.1" ];
}
rec {
fileVersion = "10.2";
fullVersion = "8.0.5.39";
hash = "sha256-IfhMBcZ78eyFnnfDjM1b8VSWT6HDCPRJlZvkw1bjgvM=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-805/support-matrix/index.html
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.0";
fullVersion = "8.0.5.39";
hash = "sha256-ThbueJXetKixwZS4ErpJWG730mkCBRQB03F1EYmKm3M=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-805/support-matrix/index.html
supportedCudaVersions = [ "11.0" ];
}
rec {
fileVersion = "11.1";
fullVersion = "8.0.5.39";
hash = "sha256-HQRr+nk5navMb2yxUHkYdUQ5RC6gyp4Pvs3URvmwDM4=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-805/support-matrix/index.html
supportedCudaVersions = [ "11.1" ];
}
];
"8.1.1" = [
rec {
fileVersion = "10.2";
fullVersion = "8.1.1.33";
hash = "sha256-Kkp7mabpv6aQ6xm7QeSVU/KnpJGls6v8rpAOFmxbbr0=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-811/support-matrix/index.html#cudnn-versions-810-811
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.2";
fullVersion = "8.1.1.33";
hash = "sha256-mKh4TpKGLyABjSDCgbMNSgzZUfk2lPZDPM9K6cUCumo=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-811/support-matrix/index.html#cudnn-versions-810-811
supportedCudaVersions = [ "11.0" "11.1" "11.2" ];
}
];
"8.2.4" = [
rec {
fileVersion = "10.2";
fullVersion = "8.2.4.15";
hash = "sha256-0jyUoxFaHHcRamwSfZF1+/WfcjNkN08mo0aZB18yIvE=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-824/support-matrix/index.html
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.4";
fullVersion = "8.2.4.15";
hash = "sha256-Dl0t+JC5ln76ZhnaQhMQ2XMjVlp58FoajLm3Fluq0Nc=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/cudnn-${fileVersion}-linux-x64-v${fullVersion}.tgz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-824/support-matrix/index.html
supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" ];
}
];
"8.3.3" = [
rec {
fileVersion = "10.2";
fullVersion = "8.3.3.40";
hash = "sha256-2FVPKzLmKV1fyPOsJeaPlAWLAYyAHaucFD42gS+JJqs=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-833/support-matrix/index.html
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.5";
fullVersion = "8.3.3.40";
hash = "sha256-6r6Wx1zwPqT1N5iU2RTx+K4UzqsSGYnoSwg22Sf7dzE=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-833/support-matrix/index.html
supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" ];
}
];
"8.4.1" = [
rec {
fileVersion = "10.2";
fullVersion = "8.4.1.50";
hash = "sha256-I88qMmU6lIiLVmaPuX7TTbisgTav839mssxUo3lQNjg=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-841/support-matrix/index.html
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.6";
fullVersion = "8.4.1.50";
hash = "sha256-7JbSN22B/KQr3T1MPXBambKaBlurV/kgVhx2PinGfQE=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-841/support-matrix/index.html
supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" "11.7" ];
}
];
"8.5.0" = [
rec {
fileVersion = "10.2";
fullVersion = "8.5.0.96";
hash = "sha256-1mzhbbzR40WKkHnQLtJHhg0vYgf7G8a0OBcCwIOkJjM=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-850/support-matrix/index.html
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.7";
fullVersion = "8.5.0.96";
hash = "sha256-VFSm/ZTwCHKMqumtrZk8ToXvNjAuJrzkO+p9RYpee20=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-850/support-matrix/index.html
supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" "11.7" ];
}
];
"8.6.0" = [
rec {
fileVersion = "10.2";
fullVersion = "8.6.0.163";
hash = "sha256-t4sr/GrFqqdxu2VhaJQk5K1Xm/0lU4chXG8hVL09R9k=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-860/support-matrix/index.html
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.8";
fullVersion = "8.6.0.163";
hash = "sha256-u8OW30cpTGV+3AnGAGdNYIyxv8gLgtz0VHBgwhcRFZ4=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-860/support-matrix/index.html
supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" "11.7" "11.8" ];
}
];
"8.7.0" = [
rec {
fileVersion = "10.2";
fullVersion = "8.7.0.84";
hash = "sha256-bZhaqc8+GbPV2FQvvbbufd8VnEJgvfkICc2N3/gitRg=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-870/support-matrix/index.html
supportedCudaVersions = [ "10.2" ];
}
rec {
fileVersion = "11.8";
fullVersion = "8.7.0.84";
hash = "sha256-l2xMunIzyXrnQAavq1Fyl2MAukD1slCiH4z3H1nJ920=";
url = "${urlPrefix}/v${majorMinorPatch fullVersion}/local_installers/${fileVersion}/cudnn-linux-x86_64-${fullVersion}_cuda${major fileVersion}-archive.tar.xz";
# https://docs.nvidia.com/deeplearning/cudnn/archives/cudnn-870/support-matrix/index.html
supportedCudaVersions = [ "11.0" "11.1" "11.2" "11.3" "11.4" "11.5" "11.6" "11.7" "11.8" ];
}
];
}; };
# Default attributes # Add all supported builds as attributes
cuDnnDefaultVersion = { # allBuilds :: AttrSet String Derivation
"10.0" = "7.4.2"; allBuilds = builtins.listToAttrs (builtins.map toBuildAttrs supportedReleases);
"10.1" = "8.0.5";
"10.2" = "8.7.0";
"11.0" = "8.7.0";
"11.1" = "8.7.0";
"11.2" = "8.7.0";
"11.3" = "8.7.0";
"11.4" = "8.7.0";
"11.5" = "8.7.0";
"11.6" = "8.7.0";
"11.7" = "8.7.0";
"11.8" = "8.7.0";
}.${cudaVersion} or "8.7.0";
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

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{ stdenv {
, lib stdenv,
, zlib lib,
, useCudatoolkitRunfile ? false zlib,
, cudaVersion useCudatoolkitRunfile ? false,
, cudaMajorVersion cudaVersion,
, cudatoolkit # if cuda>=11: only used for .cc cudaMajorVersion,
, libcublas ? null # cuda <11 doesn't ship redist packages cudatoolkit, # if cuda>=11: only used for .cc
, autoPatchelfHook libcublas ? null, # cuda <11 doesn't ship redist packages
, autoAddOpenGLRunpathHook autoPatchelfHook,
, fetchurl autoAddOpenGLRunpathHook,
, # The distributed version of CUDNN includes both dynamically liked .so files, fetchurl,
# The distributed version of CUDNN includes both dynamically liked .so files,
# as well as statically linked .a files. However, CUDNN is quite large # 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 # (multiple gigabytes), so you can save some space in your nix store by
# removing the statically linked libraries if you are not using them. # removing the statically linked libraries if you are not using them.
# #
# Setting this to true removes the statically linked .a files. # Setting this to true removes the statically linked .a files.
# Setting this to false keeps these statically linked .a files. # Setting this to false keeps these statically linked .a files.
removeStatic ? false removeStatic ? false,
}: {
version,
url,
hash,
minCudaVersion,
maxCudaVersion,
}: }:
assert useCudatoolkitRunfile || (libcublas != null); let
{ fullVersion
, url
, hash
, supportedCudaVersions ? [ ]
}:
assert useCudatoolkitRunfile || (libcublas != null);
let
inherit (cudatoolkit) cc; inherit (cudatoolkit) cc;
inherit (lib) lists strings trivial versions;
majorMinorPatch = version: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion version)); # majorMinorPatch :: String -> String
version = majorMinorPatch fullVersion; 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 = cudatoolkit_root =
if useCudatoolkitRunfile if useCudatoolkitRunfile
then cudatoolkit then cudatoolkit
else libcublas; else libcublas;
in in
stdenv.mkDerivation { stdenv.mkDerivation {
pname = "cudatoolkit-${cudaMajorVersion}-cudnn"; pname = "cudatoolkit-${cudaMajorVersion}-cudnn";
inherit version; version = versionTriple;
src = fetchurl { src = fetchurl {
inherit url hash; inherit url hash;
}; };
# Check and normalize Runpath against DT_NEEDED using autoPatchelf. # Check and normalize Runpath against DT_NEEDED using autoPatchelf.
# Prepend /run/opengl-driver/lib using addOpenGLRunpath for dlopen("libcudacuda.so") # Prepend /run/opengl-driver/lib using addOpenGLRunpath for dlopen("libcudacuda.so")
nativeBuildInputs = [ nativeBuildInputs = [
autoPatchelfHook autoPatchelfHook
autoAddOpenGLRunpathHook autoAddOpenGLRunpathHook
]; ];
# Used by autoPatchelfHook # Used by autoPatchelfHook
buildInputs = [ buildInputs = [
cc.cc.lib # libstdc++ cc.cc.lib # libstdc++
zlib zlib
cudatoolkit_root cudatoolkit_root
]; ];
# We used to patch Runpath here, but now we use autoPatchelfHook # We used to patch Runpath here, but now we use autoPatchelfHook
# #
# Note also that version <=8.3.0 contained a subdirectory "lib64/" but in # 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/". # version 8.3.2 it seems to have been renamed to simply "lib/".
installPhase = '' installPhase =
runHook preInstall ''
runHook preInstall
mkdir -p $out mkdir -p $out
cp -a include $out/include cp -a include $out/include
[ -d "lib/" ] && cp -a lib $out/lib [ -d "lib/" ] && cp -a lib $out/lib
[ -d "lib64/" ] && cp -a lib64 $out/lib64 [ -d "lib64/" ] && cp -a lib64 $out/lib64
'' + lib.optionalString removeStatic '' ''
rm -f $out/lib/*.a + strings.optionalString removeStatic ''
rm -f $out/lib64/*.a rm -f $out/lib/*.a
'' + '' rm -f $out/lib64/*.a
runHook postInstall ''
''; + ''
runHook postInstall
'';
# Without --add-needed autoPatchelf forgets $ORIGIN on cuda>=8.0.5. # Without --add-needed autoPatchelf forgets $ORIGIN on cuda>=8.0.5.
postFixup = lib.optionalString (lib.versionAtLeast fullVersion "8.0.5") '' postFixup = strings.optionalString (strings.versionAtLeast versionTriple "8.0.5") ''
patchelf $out/lib/libcudnn.so --add-needed libcudnn_cnn_infer.so patchelf $out/lib/libcudnn.so --add-needed libcudnn_cnn_infer.so
''; '';
passthru = { passthru = {
inherit useCudatoolkitRunfile; inherit useCudatoolkitRunfile;
cudatoolkit = lib.warn '' cudatoolkit =
cudnn.cudatoolkit passthru attribute is deprecated; trivial.warn
if your derivation uses cudnn directly, it should probably consume cudaPackages instead ''
'' cudnn.cudatoolkit passthru attribute is deprecated;
cudatoolkit; 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; { meta = with lib; {
# Check that the cudatoolkit version satisfies our min/max constraints (both # Check that the cudatoolkit version satisfies our min/max constraints (both
# inclusive). We mark the package as broken if it fails to satisfies the # inclusive). We mark the package as broken if it fails to satisfies the
# official version constraints (as recorded in default.nix). In some cases # official version constraints (as recorded in default.nix). In some cases
# you _may_ be able to smudge version constraints, just know that you're # you _may_ be able to smudge version constraints, just know that you're
# embarking into unknown and unsupported territory when doing so. # embarking into unknown and unsupported territory when doing so.
broken = !(elem cudaVersion supportedCudaVersions); broken =
description = "NVIDIA CUDA Deep Neural Network library (cuDNN)"; strings.versionOlder cudaVersion minCudaVersion
homepage = "https://developer.nvidia.com/cudnn"; || strings.versionOlder maxCudaVersion cudaVersion;
sourceProvenance = with sourceTypes; [ binaryNativeCode ]; description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
# TODO: consider marking unfreRedistributable when not using runfile homepage = "https://developer.nvidia.com/cudnn";
license = licenses.unfree; sourceProvenance = with sourceTypes; [binaryNativeCode];
platforms = [ "x86_64-linux" ]; # TODO: consider marking unfreRedistributable when not using runfile
maintainers = with maintainers; [ mdaiter samuela ]; license = licenses.unfree;
}; platforms = ["x86_64-linux"];
} maintainers = with maintainers; [mdaiter samuela];
};
}

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[
{
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";
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