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tensorrt: init at 8.4.0.6
Add derivation for TensorRT 8, a high-performance deep learning interface SDK from NVIDIA, which is at this point non-redistributable. The current version aldo requires CUDA 11, so this is left out of the cudaPackages_10* scopes.
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79
pkgs/development/libraries/science/math/tensorrt/8.nix
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79
pkgs/development/libraries/science/math/tensorrt/8.nix
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@ -0,0 +1,79 @@
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{ lib
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, stdenv
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, requireFile
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, autoPatchelfHook
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, autoAddOpenGLRunpathHook
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, cudaVersion
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, cudatoolkit
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, cudnn
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}:
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assert lib.assertMsg (lib.strings.versionAtLeast cudaVersion "11.0")
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"This version of TensorRT requires at least CUDA 11.0 (current version is ${cudaVersion})";
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assert lib.assertMsg (lib.strings.versionAtLeast cudnn.version "8.3")
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"This version of TensorRT requires at least cuDNN 8.3 (current version is ${cudnn.version})";
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stdenv.mkDerivation rec {
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pname = "cudatoolkit-${cudatoolkit.majorVersion}-tensorrt";
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version = "8.4.0.6";
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src = requireFile rec {
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name = "TensorRT-${version}.Linux.x86_64-gnu.cuda-11.6.cudnn8.3.tar.gz";
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sha256 = "sha256-DNgHHXF/G4cK2nnOWImrPXAkOcNW6Wy+8j0LRpAH/LQ=";
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message = ''
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To use the TensorRT derivation, you must join the NVIDIA Developer Program
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and download the ${version} Linux x86_64 TAR package from
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${meta.homepage}.
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Once you have downloaded the file, add it to the store with the following
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command, and try building this derivation again.
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$ nix-store --add-fixed sha256 ${name}
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'';
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};
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outputs = [ "out" "dev" ];
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nativeBuildInputs = [
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autoPatchelfHook
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autoAddOpenGLRunpathHook
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];
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# Used by autoPatchelfHook
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buildInputs = [
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cudatoolkit.cc.cc.lib # libstdc++
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cudatoolkit
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cudnn
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];
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sourceRoot = "TensorRT-${version}";
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installPhase = ''
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install --directory "$dev" "$out"
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mv include "$dev"
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mv targets/x86_64-linux-gnu/lib "$out"
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install -D --target-directory="$out/bin" targets/x86_64-linux-gnu/bin/trtexec
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'';
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# Tell autoPatchelf about runtime dependencies.
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# (postFixup phase is run before autoPatchelfHook.)
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postFixup =
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let
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mostOfVersion = builtins.concatStringsSep "."
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(lib.take 3 (lib.versions.splitVersion version));
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in
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''
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echo 'Patching RPATH of libnvinfer libs'
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patchelf --debug --add-needed libnvinfer.so \
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"$out/lib/libnvinfer.so.${mostOfVersion}" \
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"$out/lib/libnvinfer_plugin.so.${mostOfVersion}" \
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"$out/lib/libnvinfer_builder_resource.so.${mostOfVersion}"
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'';
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meta = with lib; {
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description = "TensorRT: a high-performance deep learning interface";
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homepage = "https://developer.nvidia.com/tensorrt";
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license = licenses.unfree;
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platforms = [ "x86_64-linux" ];
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maintainers = with maintainers; [ aidalgol ];
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};
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}
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52
pkgs/development/python-modules/tensorrt/default.nix
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52
pkgs/development/python-modules/tensorrt/default.nix
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{ lib
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, python
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, buildPythonPackage
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, autoPatchelfHook
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, unzip
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, cudaPackages
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}:
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let
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pyVersion = "${lib.versions.major python.version}${lib.versions.minor python.version}";
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in
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buildPythonPackage rec {
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pname = "tensorrt";
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version = cudaPackages.tensorrt.version;
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src = cudaPackages.tensorrt.src;
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format = "wheel";
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# We unpack the wheel ourselves because of the odd packaging.
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dontUseWheelUnpack = true;
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nativeBuildInputs = [
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unzip
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autoPatchelfHook
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cudaPackages.autoAddOpenGLRunpathHook
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];
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preUnpack = ''
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mkdir -p dist
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tar --strip-components=2 -xf "$src" --directory=dist \
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"TensorRT-${version}/python/tensorrt-${version}-cp${pyVersion}-none-linux_x86_64.whl"
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'';
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sourceRoot = ".";
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buildInputs = [
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cudaPackages.cudnn
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cudaPackages.tensorrt
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];
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pythonCheckImports = [
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"tensorrt"
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];
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meta = with lib; {
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description = "Python bindings for TensorRT, a high-performance deep learning interface";
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homepage = "https://developer.nvidia.com/tensorrt";
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license = licenses.unfree;
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platforms = [ "x86_64-linux" ];
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maintainers = with maintainers; [ aidalgol ];
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};
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}
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@ -43,6 +43,16 @@ let
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};
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in { inherit cutensor; };
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tensorrtExtension = final: prev: let
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### Tensorrt
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inherit (final) cudaMajorMinorVersion cudaMajorVersion;
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# TODO: Add derivations for TensorRT versions that support older CUDA versions.
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tensorrt = final.callPackage ../development/libraries/science/math/tensorrt/8.nix { };
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in { inherit tensorrt; };
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extraPackagesExtension = final: prev: {
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nccl = final.callPackage ../development/libraries/science/math/nccl { };
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@ -58,7 +68,7 @@ let
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};
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composedExtension = composeManyExtensions [
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composedExtension = composeManyExtensions ([
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extraPackagesExtension
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(import ../development/compilers/cudatoolkit/extension.nix)
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(import ../development/compilers/cudatoolkit/redist/extension.nix)
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@ -67,6 +77,7 @@ let
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(import ../test/cuda/cuda-samples/extension.nix)
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(import ../test/cuda/cuda-library-samples/extension.nix)
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cutensorExtension
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];
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] ++ (lib.optional (lib.strings.versionAtLeast cudaVersion "11.0") tensorrtExtension));
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# We only package the current version of TensorRT, which requires CUDA 11.
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in (scope.overrideScope' composedExtension)
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@ -10384,6 +10384,8 @@ in {
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tensorly = callPackage ../development/python-modules/tensorly { };
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tensorrt = callPackage ../development/python-modules/tensorrt { };
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tellduslive = callPackage ../development/python-modules/tellduslive { };
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termcolor = callPackage ../development/python-modules/termcolor { };
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