forked from mirrors/nixpkgs
397c4b7748
This version is a dependency of tensorflow binaries
217 lines
7 KiB
Nix
217 lines
7 KiB
Nix
{ lib, stdenv, makeWrapper, fetchurl, requireFile, patchelf, perl, ncurses, expat, python27, zlib
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, gcc48, gcc49, gcc5, gcc6
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, xorg, gtk2, glib, fontconfig, freetype, unixODBC, alsaLib, glibc
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}:
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let
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common =
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args@{ gcc, version, sha256
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, url ? ""
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, name ? ""
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, developerProgram ? false
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, python ? python27
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, runPatches ? []
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}:
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stdenv.mkDerivation rec {
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name = "cudatoolkit-${version}";
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inherit version runPatches;
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dontPatchELF = true;
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dontStrip = true;
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src =
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if developerProgram then
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requireFile {
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message = ''
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This nix expression requires that ${args.name} is already part of the store.
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Register yourself to NVIDIA Accelerated Computing Developer Program, retrieve the CUDA toolkit
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at https://developer.nvidia.com/cuda-toolkit, and run the following command in the download directory:
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nix-prefetch-url file://\$PWD/${args.name}
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'';
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inherit (args) name sha256;
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}
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else
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fetchurl {
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inherit (args) url sha256;
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};
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outputs = [ "out" "lib" "doc" ];
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nativeBuildInputs = [ perl makeWrapper ];
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runtimeDependencies = [
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ncurses expat python zlib glibc
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xorg.libX11 xorg.libXext xorg.libXrender xorg.libXt xorg.libXtst xorg.libXi xorg.libXext
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gtk2 glib fontconfig freetype unixODBC alsaLib
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];
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rpath = "${stdenv.lib.makeLibraryPath runtimeDependencies}:${stdenv.cc.cc.lib}/lib64";
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phases = [ "unpackPhase" "installPhase" "fixupPhase" ];
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unpackPhase = ''
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sh $src --keep --noexec
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cd pkg/run_files
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sh cuda-linux*.run --keep --noexec
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sh cuda-samples*.run --keep --noexec
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mv pkg ../../$(basename $src)
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cd ../..
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rm -rf pkg
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for patch in $runPatches; do
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sh $patch --keep --noexec
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mv pkg $(basename $patch)
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done
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'';
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installPhase = ''
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mkdir $out
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cd $(basename $src)
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perl ./install-linux.pl --prefix="$out"
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cd ..
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for patch in $runPatches; do
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cd $(basename $patch)
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perl ./install_patch.pl --silent --accept-eula --installdir="$out"
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cd ..
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done
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rm $out/tools/CUDA_Occupancy_Calculator.xls # FIXME: why?
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# let's remove the 32-bit libraries, they confuse the lib64->lib mover
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rm -rf $out/lib
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# Remove some cruft.
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rm $out/bin/uninstall*
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# Fixup path to samples (needed for cuda 6.5 or else nsight will not find them)
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if [ -d "$out"/cuda-samples ]; then
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mv "$out"/cuda-samples "$out"/samples
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fi
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# Change the #error on GCC > 4.9 to a #warning.
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sed -i $out/include/host_config.h -e 's/#error\(.*unsupported GNU version\)/#warning\1/'
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# Fix builds with newer glibc version
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sed -i "1 i#define _BITS_FLOATN_H" "$out/include/host_defines.h"
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# Ensure that cmake can find CUDA.
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mkdir -p $out/nix-support
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echo "cmakeFlags+=' -DCUDA_TOOLKIT_ROOT_DIR=$out'" >> $out/nix-support/setup-hook
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# Move some libraries to the lib output so that programs that
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# depend on them don't pull in this entire monstrosity.
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mkdir -p $lib/lib
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mv -v $out/lib64/libcudart* $lib/lib/
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# Remove OpenCL libraries as they are provided by ocl-icd and driver.
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rm -f $out/lib64/libOpenCL*
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# Set compiler for NVCC.
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wrapProgram $out/bin/nvcc \
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--prefix PATH : ${gcc}/bin
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'' + lib.optionalString (lib.versionOlder version "8.0") ''
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# Hack to fix building against recent Glibc/GCC.
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echo "NIX_CFLAGS_COMPILE+=' -D_FORCE_INLINES'" >> $out/nix-support/setup-hook
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'';
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preFixup = ''
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while IFS= read -r -d ''$'\0' i; do
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if ! isELF "$i"; then continue; fi
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echo "patching $i..."
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if [[ ! $i =~ \.so ]]; then
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patchelf \
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--set-interpreter "''$(cat $NIX_CC/nix-support/dynamic-linker)" $i
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fi
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if [[ $i =~ libcudart ]]; then
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rpath2=
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else
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rpath2=$rpath:$lib/lib:$out/jre/lib/amd64/jli:$out/lib:$out/lib64:$out/nvvm/lib:$out/nvvm/lib64
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fi
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patchelf --set-rpath $rpath2 --force-rpath $i
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done < <(find $out $lib $doc -type f -print0)
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'';
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passthru = {
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cc = gcc;
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majorVersion =
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let versionParts = lib.splitString "." version;
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in "${lib.elemAt versionParts 0}.${lib.elemAt versionParts 1}";
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};
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meta = with stdenv.lib; {
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description = "A compiler for NVIDIA GPUs, math libraries, and tools";
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homepage = "https://developer.nvidia.com/cuda-toolkit";
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platforms = [ "x86_64-linux" ];
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license = licenses.unfree;
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};
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};
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in {
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cudatoolkit_6 = common {
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version = "6.0.37";
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url = "http://developer.download.nvidia.com/compute/cuda/6_0/rel/installers/cuda_6.0.37_linux_64.run";
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sha256 = "991e436c7a6c94ec67cf44204d136adfef87baa3ded270544fa211179779bc40";
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gcc = gcc48;
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};
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cudatoolkit_6_5 = common {
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version = "6.5.19";
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url = "http://developer.download.nvidia.com/compute/cuda/6_5/rel/installers/cuda_6.5.19_linux_64.run";
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sha256 = "1x9zdmk8z784d3d35vr2ak1l4h5v4jfjhpxfi9fl9dvjkcavqyaj";
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gcc = gcc48;
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};
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cudatoolkit_7 = common {
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version = "7.0.28";
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url = "http://developer.download.nvidia.com/compute/cuda/7_0/Prod/local_installers/cuda_7.0.28_linux.run";
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sha256 = "1km5hpiimx11jcazg0h3mjzk220klwahs2vfqhjavpds5ff2wafi";
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gcc = gcc49;
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};
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cudatoolkit_7_5 = common {
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version = "7.5.18";
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url = "http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run";
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sha256 = "1v2ylzp34ijyhcxyh5p6i0cwawwbbdhni2l5l4qm21s1cx9ish88";
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gcc = gcc49;
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};
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cudatoolkit_8 = common {
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version = "8.0.61.2";
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url = "https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run";
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sha256 = "1i4xrsqbad283qffvysn88w2pmxzxbbby41lw0j1113z771akv4w";
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runPatches = [
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(fetchurl {
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url = "https://developer.nvidia.com/compute/cuda/8.0/Prod2/patches/2/cuda_8.0.61.2_linux-run";
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sha256 = "1iaz5rrsnsb1p99qiqvxn6j3ksc7ry8xlr397kqcjzxqbljbqn9d";
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})
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];
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gcc = gcc5;
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};
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cudatoolkit_9_0 = common {
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version = "9.0.176.1";
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url = "https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run";
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sha256 = "0308rmmychxfa4inb1ird9bpgfppgr9yrfg1qp0val5azqik91ln";
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gcc = gcc6;
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};
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cudatoolkit_9 = common {
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version = "9.1.85.1";
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url = "https://developer.nvidia.com/compute/cuda/9.1/Prod/local_installers/cuda_9.1.85_387.26_linux";
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sha256 = "0lz9bwhck1ax4xf1fyb5nicb7l1kssslj518z64iirpy2qmwg5l4";
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runPatches = [
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(fetchurl {
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url = "https://developer.nvidia.com/compute/cuda/9.1/Prod/patches/1/cuda_9.1.85.1_linux";
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sha256 = "1f53ij5nb7g0vb5pcpaqvkaj1x4mfq3l0mhkfnqbk8sfrvby775g";
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})
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];
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gcc = gcc6;
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};
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}
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