https://github.com/NixOS/nixpkgs/blob/master/pkgs/stdenv/generic/setup.sh#L948 this can do it nicely. Signed-off-by: Anton Arapov <anton@deadbeef.mx>
115 lines
3.4 KiB
Nix
115 lines
3.4 KiB
Nix
{ stdenv
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, lib
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, zlib
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, useCudatoolkitRunfile ? false
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, cudaVersion
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, cudaMajorVersion
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, cudatoolkit # if cuda>=11: only used for .cc
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, libcublas ? null # cuda <11 doesn't ship redist packages
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, autoPatchelfHook
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, autoAddOpenGLRunpathHook
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, fetchurl
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, # The distributed version of CUDNN includes both dynamically liked .so files,
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# as well as statically linked .a files. However, CUDNN is quite large
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# (multiple gigabytes), so you can save some space in your nix store by
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# removing the statically linked libraries if you are not using them.
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#
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# Setting this to true removes the statically linked .a files.
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# Setting this to false keeps these statically linked .a files.
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removeStatic ? false
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}:
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{ fullVersion
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, url
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, hash ? null
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, sha256 ? null
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, supportedCudaVersions ? [ ]
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}:
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assert (hash != null) || (sha256 != null);
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assert useCudatoolkitRunfile || (libcublas != null);
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let
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inherit (cudatoolkit) cc;
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majorMinorPatch = version: lib.concatStringsSep "." (lib.take 3 (lib.splitVersion version));
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version = majorMinorPatch fullVersion;
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cudatoolkit_root =
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if useCudatoolkitRunfile
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then cudatoolkit
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else libcublas;
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in
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stdenv.mkDerivation {
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pname = "cudatoolkit-${cudaMajorVersion}-cudnn";
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inherit version;
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src = fetchurl {
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inherit url hash sha256;
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};
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# Check and normalize Runpath against DT_NEEDED using autoPatchelf.
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# Prepend /run/opengl-driver/lib using addOpenGLRunpath for dlopen("libcudacuda.so")
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nativeBuildInputs = [
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autoPatchelfHook
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autoAddOpenGLRunpathHook
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];
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# Used by autoPatchelfHook
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buildInputs = [
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cc.cc.lib # libstdc++
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zlib
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cudatoolkit_root
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];
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# We used to patch Runpath here, but now we use autoPatchelfHook
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#
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# Note also that version <=8.3.0 contained a subdirectory "lib64/" but in
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# version 8.3.2 it seems to have been renamed to simply "lib/".
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installPhase = ''
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runHook preInstall
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mkdir -p $out
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cp -a include $out/include
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[ -d "lib/" ] && cp -a lib $out/lib
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[ -d "lib64/" ] && cp -a lib64 $out/lib64
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'' + lib.optionalString removeStatic ''
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rm -f $out/lib/*.a
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rm -f $out/lib64/*.a
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'' + ''
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runHook postInstall
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'';
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# Without --add-needed autoPatchelf forgets $ORIGIN on cuda>=8.0.5.
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postFixup = lib.optionalString (lib.versionAtLeast fullVersion "8.0.5") ''
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patchelf $out/lib/libcudnn.so --add-needed libcudnn_cnn_infer.so
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'';
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passthru = {
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inherit useCudatoolkitRunfile;
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cudatoolkit = lib.warn ''
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cudnn.cudatoolkit passthru attribute is deprecated;
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if your derivation uses cudnn directly, it should probably consume cudaPackages instead
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''
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cudatoolkit;
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majorVersion = lib.versions.major version;
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};
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meta = with lib; {
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# Check that the cudatoolkit version satisfies our min/max constraints (both
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# inclusive). We mark the package as broken if it fails to satisfies the
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# official version constraints (as recorded in default.nix). In some cases
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# you _may_ be able to smudge version constraints, just know that you're
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# embarking into unknown and unsupported territory when doing so.
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broken = !(elem cudaVersion supportedCudaVersions);
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description = "NVIDIA CUDA Deep Neural Network library (cuDNN)";
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homepage = "https://developer.nvidia.com/cudnn";
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# TODO: consider marking unfreRedistributable when not using runfile
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license = licenses.unfree;
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platforms = [ "x86_64-linux" ];
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maintainers = with maintainers; [ mdaiter samuela ];
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};
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}
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