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.
53 lines
1.1 KiB
Nix
53 lines
1.1 KiB
Nix
{ 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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