cudaPackages: move config expressions to cuda-modules
This commit is contained in:
Connor Baker
parent
4a25023c2e
commit
397d95d07f
@ -1,170 +0,0 @@
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{ config
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, lib
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, cudaVersion
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}:
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# Type aliases
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# Gpu :: AttrSet
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# - See the documentation in ./gpus.nix.
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let
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inherit (lib) attrsets lists strings trivial versions;
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# Flags are determined based on your CUDA toolkit by default. You may benefit
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# from improved performance, reduced file size, or greater hardware support by
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# passing a configuration based on your specific GPU environment.
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#
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# config.cudaCapabilities :: List Capability
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# List of hardware generations to build.
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# E.g. [ "8.0" ]
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# Currently, the last item is considered the optional forward-compatibility arch,
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# but this may change in the future.
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#
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# config.cudaForwardCompat :: Bool
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# Whether to include the forward compatibility gencode (+PTX)
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# to support future GPU generations.
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# E.g. true
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#
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# Please see the accompanying documentation or https://github.com/NixOS/nixpkgs/pull/205351
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# gpus :: List Gpu
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gpus = builtins.import ./gpus.nix;
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# isSupported :: Gpu -> Bool
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isSupported = gpu:
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let
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inherit (gpu) minCudaVersion maxCudaVersion;
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lowerBoundSatisfied = strings.versionAtLeast cudaVersion minCudaVersion;
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upperBoundSatisfied = (maxCudaVersion == null)
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|| !(strings.versionOlder maxCudaVersion cudaVersion);
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in
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lowerBoundSatisfied && upperBoundSatisfied;
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# isDefault :: Gpu -> Bool
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isDefault = gpu:
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let
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inherit (gpu) dontDefaultAfter;
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newGpu = dontDefaultAfter == null;
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recentGpu = newGpu || strings.versionAtLeast dontDefaultAfter cudaVersion;
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in
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recentGpu;
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# supportedGpus :: List Gpu
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# GPUs which are supported by the provided CUDA version.
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supportedGpus = builtins.filter isSupported gpus;
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# defaultGpus :: List Gpu
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# GPUs which are supported by the provided CUDA version and we want to build for by default.
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defaultGpus = builtins.filter isDefault supportedGpus;
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# supportedCapabilities :: List Capability
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supportedCapabilities = lists.map (gpu: gpu.computeCapability) supportedGpus;
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# defaultCapabilities :: List Capability
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# The default capabilities to target, if not overridden by the user.
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defaultCapabilities = lists.map (gpu: gpu.computeCapability) defaultGpus;
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# cudaArchNameToVersions :: AttrSet String (List String)
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# Maps the name of a GPU architecture to different versions of that architecture.
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# For example, "Ampere" maps to [ "8.0" "8.6" "8.7" ].
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cudaArchNameToVersions =
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lists.groupBy'
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(versions: gpu: versions ++ [ gpu.computeCapability ])
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[ ]
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(gpu: gpu.archName)
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supportedGpus;
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# cudaComputeCapabilityToName :: AttrSet String String
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# Maps the version of a GPU architecture to the name of that architecture.
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# For example, "8.0" maps to "Ampere".
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cudaComputeCapabilityToName = builtins.listToAttrs (
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lists.map
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(gpu: {
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name = gpu.computeCapability;
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value = gpu.archName;
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})
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supportedGpus
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);
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# dropDot :: String -> String
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dropDot = ver: builtins.replaceStrings [ "." ] [ "" ] ver;
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# archMapper :: String -> List String -> List String
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# Maps a feature across a list of architecture versions to produce a list of architectures.
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# For example, "sm" and [ "8.0" "8.6" "8.7" ] produces [ "sm_80" "sm_86" "sm_87" ].
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archMapper = feat: lists.map (computeCapability: "${feat}_${dropDot computeCapability}");
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# gencodeMapper :: String -> List String -> List String
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# Maps a feature across a list of architecture versions to produce a list of gencode arguments.
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# For example, "sm" and [ "8.0" "8.6" "8.7" ] produces [ "-gencode=arch=compute_80,code=sm_80"
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# "-gencode=arch=compute_86,code=sm_86" "-gencode=arch=compute_87,code=sm_87" ].
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gencodeMapper = feat: lists.map (
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computeCapability:
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"-gencode=arch=compute_${dropDot computeCapability},code=${feat}_${dropDot computeCapability}"
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);
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formatCapabilities = { cudaCapabilities, enableForwardCompat ? true }: rec {
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inherit cudaCapabilities enableForwardCompat;
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# archNames :: List String
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# E.g. [ "Turing" "Ampere" ]
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archNames = lists.unique (builtins.map (cap: cudaComputeCapabilityToName.${cap} or (throw "missing cuda compute capability")) cudaCapabilities);
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# realArches :: List String
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# The real architectures are physical architectures supported by the CUDA version.
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# E.g. [ "sm_75" "sm_86" ]
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realArches = archMapper "sm" cudaCapabilities;
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# virtualArches :: List String
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# The virtual architectures are typically used for forward compatibility, when trying to support
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# an architecture newer than the CUDA version allows.
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# E.g. [ "compute_75" "compute_86" ]
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virtualArches = archMapper "compute" cudaCapabilities;
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# arches :: List String
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# By default, build for all supported architectures and forward compatibility via a virtual
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# architecture for the newest supported architecture.
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# E.g. [ "sm_75" "sm_86" "compute_86" ]
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arches = realArches ++
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lists.optional enableForwardCompat (lists.last virtualArches);
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# gencode :: List String
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# A list of CUDA gencode arguments to pass to NVCC.
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# E.g. [ "-gencode=arch=compute_75,code=sm_75" ... "-gencode=arch=compute_86,code=compute_86" ]
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gencode =
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let
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base = gencodeMapper "sm" cudaCapabilities;
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forward = gencodeMapper "compute" [ (lists.last cudaCapabilities) ];
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in
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base ++ lib.optionals enableForwardCompat forward;
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};
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in
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# When changing names or formats: pause, validate, and update the assert
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assert (formatCapabilities { cudaCapabilities = [ "7.5" "8.6" ]; }) == {
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cudaCapabilities = [ "7.5" "8.6" ];
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enableForwardCompat = true;
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archNames = [ "Turing" "Ampere" ];
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realArches = [ "sm_75" "sm_86" ];
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virtualArches = [ "compute_75" "compute_86" ];
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arches = [ "sm_75" "sm_86" "compute_86" ];
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gencode = [ "-gencode=arch=compute_75,code=sm_75" "-gencode=arch=compute_86,code=sm_86" "-gencode=arch=compute_86,code=compute_86" ];
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};
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{
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# formatCapabilities :: { cudaCapabilities: List Capability, cudaForwardCompat: Boolean } -> { ... }
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inherit formatCapabilities;
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# cudaArchNameToVersions :: String => String
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inherit cudaArchNameToVersions;
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# cudaComputeCapabilityToName :: String => String
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inherit cudaComputeCapabilityToName;
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# dropDot :: String -> String
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inherit dropDot;
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} // formatCapabilities {
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cudaCapabilities = config.cudaCapabilities or defaultCapabilities;
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enableForwardCompat = config.cudaForwardCompat or true;
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}
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@ -1,148 +0,0 @@
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[
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# Type alias
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# Gpu = {
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# archName: String
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# - The name of the microarchitecture.
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# computeCapability: String
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# - The compute capability of the GPU.
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# minCudaVersion: String
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# - The minimum (inclusive) CUDA version that supports this GPU.
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# dontDefaultAfter: null | String
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# - The CUDA version after which to exclude this GPU from the list of default capabilities
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# we build. null means we always include this GPU in the default capabilities if it is
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# supported.
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# maxCudaVersion: null | String
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# - The maximum (exclusive) CUDA version that supports this GPU. null means there is no
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# maximum.
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# }
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{
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archName = "Kepler";
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computeCapability = "3.0";
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minCudaVersion = "10.0";
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dontDefaultAfter = "10.2";
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maxCudaVersion = "10.2";
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}
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{
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archName = "Kepler";
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computeCapability = "3.2";
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minCudaVersion = "10.0";
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dontDefaultAfter = "10.2";
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maxCudaVersion = "10.2";
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}
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{
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archName = "Kepler";
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computeCapability = "3.5";
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minCudaVersion = "10.0";
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dontDefaultAfter = "11.0";
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maxCudaVersion = "11.8";
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}
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{
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archName = "Kepler";
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computeCapability = "3.7";
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minCudaVersion = "10.0";
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dontDefaultAfter = "11.0";
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maxCudaVersion = "11.8";
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}
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{
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archName = "Maxwell";
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computeCapability = "5.0";
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minCudaVersion = "10.0";
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dontDefaultAfter = "11.0";
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maxCudaVersion = null;
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}
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{
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archName = "Maxwell";
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computeCapability = "5.2";
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minCudaVersion = "10.0";
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dontDefaultAfter = "11.0";
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maxCudaVersion = null;
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}
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{
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archName = "Maxwell";
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computeCapability = "5.3";
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minCudaVersion = "10.0";
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dontDefaultAfter = "11.0";
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maxCudaVersion = null;
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}
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{
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archName = "Pascal";
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computeCapability = "6.0";
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minCudaVersion = "10.0";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Pascal";
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computeCapability = "6.1";
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minCudaVersion = "10.0";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Pascal";
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computeCapability = "6.2";
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minCudaVersion = "10.0";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Volta";
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computeCapability = "7.0";
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minCudaVersion = "10.0";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Volta";
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computeCapability = "7.2";
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minCudaVersion = "10.0";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Turing";
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computeCapability = "7.5";
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minCudaVersion = "10.0";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Ampere";
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computeCapability = "8.0";
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minCudaVersion = "11.2";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Ampere";
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computeCapability = "8.6";
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minCudaVersion = "11.2";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Ampere";
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computeCapability = "8.7";
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minCudaVersion = "11.5";
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# NOTE: This is purposefully before 11.5 to ensure it is never a capability we target by
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# default. 8.7 is the Jetson Orin series of devices which are a very specific platform.
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# We keep this entry here in case we ever want to target it explicitly, but we don't
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# want to target it by default.
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dontDefaultAfter = "11.4";
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maxCudaVersion = null;
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}
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{
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archName = "Ada";
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computeCapability = "8.9";
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minCudaVersion = "11.8";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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{
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archName = "Hopper";
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computeCapability = "9.0";
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minCudaVersion = "11.8";
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dontDefaultAfter = null;
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maxCudaVersion = null;
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}
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]
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@ -1,91 +0,0 @@
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["10.0"]
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version = "10.0.130"
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url = "https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda_10.0.130_410.48_linux"
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sha256 = "16p3bv1lwmyqpxil8r951h385sy9asc578afrc7lssa68c71ydcj"
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gcc = "gcc7"
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["10.1"]
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version = "10.1.243"
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url = "https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run"
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sha256 = "0caxhlv2bdq863dfp6wj7nad66ml81vasq2ayf11psvq2b12vhp7"
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gcc = "gcc7"
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["10.2"]
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version = "10.2.89"
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url = "http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run"
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sha256 = "04fasl9sjkb1jvchvqgaqxprnprcz7a8r52249zp2ijarzyhf3an"
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gcc = "gcc7"
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["11.0"]
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version = "11.0.3"
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url = "https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda_11.0.3_450.51.06_linux.run"
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sha256 = "1h4c69nfrgm09jzv8xjnjcvpq8n4gnlii17v3wzqry5d13jc8ydh"
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gcc = "gcc9"
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["11.1"]
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version = "11.1.1"
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url = "https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda_11.1.1_455.32.00_linux.run"
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sha256 = "13yxv2fgvdnqqbwh1zb80x4xhyfkbajfkwyfpdg9493010kngbiy"
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gcc = "gcc9"
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["11.2"]
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version = "11.2.1"
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url = "https://developer.download.nvidia.com/compute/cuda/11.2.1/local_installers/cuda_11.2.1_460.32.03_linux.run"
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sha256 = "sha256-HamMuJfMX1inRFpKZspPaSaGdwbLOvWKZpzc2Nw9F8g="
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gcc = "gcc9"
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["11.3"]
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version = "11.3.1"
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url = "https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run"
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sha256 = "0d19pwcqin76scbw1s5kgj8n0z1p4v1hyfldqmamilyfxycfm4xd"
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gcc = "gcc9"
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["11.4"]
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version = "11.4.2"
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url = "https://developer.download.nvidia.com/compute/cuda/11.4.2/local_installers/cuda_11.4.2_470.57.02_linux.run"
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sha256 = "sha256-u9h8oOkT+DdFSnljZ0c1E83e9VUILk2G7Zo4ZZzIHwo="
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gcc = "gcc10"
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["11.5"]
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version = "11.5.0"
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url = "https://developer.download.nvidia.com/compute/cuda/11.5.0/local_installers/cuda_11.5.0_495.29.05_linux.run"
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sha256 = "sha256-rgoWk9lJfPPYHmlIlD43lGNpANtxyY1Y7v2sr38aHkw="
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# cuda 11.5 has problems with glibc 2.4 -> keeping gcc10
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# cf. https://forums.developer.nvidia.com/t/cuda-11-5-samples-throw-multiple-error-attribute-malloc-does-not-take-arguments/192750/15
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gcc = "gcc10"
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["11.6"]
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version = "11.6.1"
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url = "https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run"
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sha256 = "sha256-qyGa/OALdCABEyaYZvv/derQN7z8I1UagzjCaEyYTX4="
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gcc = "gcc11"
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["11.7"]
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version = "11.7.0"
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url = "https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run"
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sha256 = "sha256-CH/fy7ofeVQ7H3jkOo39rF9tskLQQt3oIOFtwYWJLyY="
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gcc = "gcc11"
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["11.8"]
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version = "11.8.0"
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url = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
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sha256 = "sha256-kiPErzrr5Ke77Zq9mxY7A6GzS4VfvCtKDRtwasCaWhY="
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gcc = "gcc11"
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["12.0"]
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version = "12.0.1"
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url = "https://developer.download.nvidia.com/compute/cuda/12.0.1/local_installers/cuda_12.0.1_525.85.12_linux.run"
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sha256 = "sha256-GyBaBicvFGP0dydv2rkD8/ZmkXwGjlIHOAAeacehh1s="
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gcc = "gcc12"
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["12.1"]
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version = "12.1.1"
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url = "https://developer.download.nvidia.com/compute/cuda/12.1.1/local_installers/cuda_12.1.1_530.30.02_linux.run"
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sha256 = "sha256-10Ai1B2AEFMZ36Ib7qObd6W5kZU5wEh6BcqvJEbWpw4="
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gcc = "gcc12"
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["12.2"]
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version = "12.2.0"
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url = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
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sha256 = "sha256-7PPSr63LrAKfD0UFeFgQ1S0AbkuHunn/P5hDNqK79Rg="
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gcc = "gcc12"
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102
pkgs/development/cuda-modules/cudatoolkit/releases.nix
Normal file
102
pkgs/development/cuda-modules/cudatoolkit/releases.nix
Normal file
@ -0,0 +1,102 @@
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# 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=";
|
||||
};
|
||||
}
|
||||
262
pkgs/development/cuda-modules/cudnn/releases.nix
Normal file
262
pkgs/development/cuda-modules/cudnn/releases.nix
Normal file
@ -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 = "8.9.6.50";
|
||||
minCudaVersion = "11.0";
|
||||
maxCudaVersion = "11.8";
|
||||
url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.9.6.50_cuda11-archive.tar.xz";
|
||||
hash = "sha256-nlQWYSOJWci7o3wFGIuxrkoo8d3ddg4F2hU/qJySvBE=";
|
||||
}
|
||||
{
|
||||
version = "8.9.6.50";
|
||||
minCudaVersion = "12.0";
|
||||
maxCudaVersion = "12.2";
|
||||
url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-sbsa/cudnn-linux-sbsa-8.9.6.50_cuda12-archive.tar.xz";
|
||||
hash = "sha256-L20O26RelmeynVfjohEADW3Vaj3VbFS2dTUadTKlXdg=";
|
||||
}
|
||||
];
|
||||
# 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-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 = "8.8.1.3";
|
||||
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 = "8.9.6.50";
|
||||
minCudaVersion = "11.0";
|
||||
maxCudaVersion = "11.8";
|
||||
url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.6.50_cuda11-archive.tar.xz";
|
||||
hash = "sha256-oOLvVemfTNZH99HaqlqkUE/6M1ujAYbVwyiPL0ffBX4=";
|
||||
}
|
||||
{
|
||||
version = "8.9.6.50";
|
||||
minCudaVersion = "12.0";
|
||||
maxCudaVersion = "12.2";
|
||||
url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.6.50_cuda12-archive.tar.xz";
|
||||
hash = "sha256-FyIlnblSZbs4E0OKWhxuzZed6JrkU2YDkEBC4STTAtU=";
|
||||
}
|
||||
];
|
||||
};
|
||||
}
|
||||
387
pkgs/development/cuda-modules/flags.nix
Normal file
387
pkgs/development/cuda-modules/flags.nix
Normal file
@ -0,0 +1,387 @@
|
||||
# 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;
|
||||
newGpu = dontDefaultAfter == null;
|
||||
recentGpu = newGpu || strings.versionAtLeast dontDefaultAfter cudaVersion;
|
||||
in
|
||||
recentGpu;
|
||||
|
||||
# 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
|
||||
# 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 cudaFlags.
|
||||
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.
|
||||
getNixSystem =
|
||||
redistArch:
|
||||
if
|
||||
lists.elem redistArch [
|
||||
"linux-aarch64"
|
||||
"linux-sbsa"
|
||||
]
|
||||
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
|
||||
# List of booleans representing whether any of the currently targeted capabilities are
|
||||
# Jetson devices.
|
||||
# isJetsons :: List Boolean
|
||||
isJetsons =
|
||||
lists.map (trivial.flip builtins.getAttr cudaComputeCapabilityToIsJetson)
|
||||
cudaCapabilities;
|
||||
anyJetsons = lists.any (trivial.id) isJetsons;
|
||||
allJetsons = lists.all (trivial.id) isJetsons;
|
||||
hostIsAarch64 = hostPlatform.isAarch64;
|
||||
in
|
||||
trivial.throwIfNot (anyJetsons -> (allJetsons && hostIsAarch64))
|
||||
''
|
||||
Jetson devices cannot be targeted with non-Jetson devices. Additionally, they require hostPlatform to be aarch64.
|
||||
You requested ${builtins.toJSON cudaCapabilities} for host platform ${hostPlatform.system}.
|
||||
Exactly one of the following must be true:
|
||||
- All CUDA capabilities belong to Jetson devices (${trivial.boolToString allJetsons}) and the hostPlatform is aarch64 (${trivial.boolToString hostIsAarch64}).
|
||||
- No CUDA capabilities belong to Jetson devices (${trivial.boolToString (!anyJetsons)}).
|
||||
See ${./gpus.nix} for a list of architectures supported by this version of Nixpkgs.
|
||||
''
|
||||
allJetsons;
|
||||
};
|
||||
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 (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;
|
||||
}
|
||||
204
pkgs/development/cuda-modules/gpus.nix
Normal file
204
pkgs/development/cuda-modules/gpus.nix
Normal file
@ -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 = "11.0";
|
||||
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;
|
||||
}
|
||||
]
|
||||
115
pkgs/development/cuda-modules/nvcc-compatibilities.nix
Normal file
115
pkgs/development/cuda-modules/nvcc-compatibilities.nix
Normal file
@ -0,0 +1,115 @@
|
||||
# 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" = {
|
||||
clangMaxMajorVersion = "12";
|
||||
gccMaxMajorVersion = "11";
|
||||
};
|
||||
|
||||
# No changes from 11.4 to 11.5
|
||||
"11.5" = attrs."11.4";
|
||||
|
||||
# No changes from 11.5 to 11.6
|
||||
"11.6" = attrs."11.5";
|
||||
|
||||
# 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";
|
||||
};
|
||||
};
|
||||
in
|
||||
attrs
|
||||
129
pkgs/development/cuda-modules/tensorrt/releases.nix
Normal file
129
pkgs/development/cuda-modules/tensorrt/releases.nix
Normal file
@ -0,0 +1,129 @@
|
||||
# NOTE: Check https://developer.nvidia.com/nvidia-tensorrt-8x-download.
|
||||
{
|
||||
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 = null;
|
||||
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 = null;
|
||||
filename = "TensorRT-8.6.1.6.Linux.x86_64-gnu.cuda-12.0.tar.gz";
|
||||
hash = "sha256-D4FXpfxTKZQ7M4uJNZE3M1CvqQyoEjnNrddYDNHrolQ=";
|
||||
}
|
||||
];
|
||||
};
|
||||
}
|
||||
@ -1,185 +0,0 @@
|
||||
# NOTE: Check https://docs.nvidia.com/deeplearning/cudnn/archives/index.html for support matrices.
|
||||
[
|
||||
{
|
||||
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 = "8.8.1.3";
|
||||
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 = "8.9.6.50";
|
||||
minCudaVersion = "11.0";
|
||||
maxCudaVersion = "11.8";
|
||||
url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.6.50_cuda11-archive.tar.xz";
|
||||
hash = "sha256-oOLvVemfTNZH99HaqlqkUE/6M1ujAYbVwyiPL0ffBX4=";
|
||||
}
|
||||
{
|
||||
version = "8.9.6.50";
|
||||
minCudaVersion = "12.0";
|
||||
maxCudaVersion = "12.2";
|
||||
url = "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/cudnn-linux-x86_64-8.9.6.50_cuda12-archive.tar.xz";
|
||||
hash = "sha256-FyIlnblSZbs4E0OKWhxuzZed6JrkU2YDkEBC4STTAtU=";
|
||||
}
|
||||
]
|
||||
Loading…
Reference in New Issue
Block a user