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https://github.com/NixOS/nixpkgs.git
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libtensorflow: 1.9 -> 1.14.0
This also changes it to a from-source build.
This commit is contained in:
Yorick van Pelt
Nikolay Amiantov
parent
3df4e2df95
commit
2e46ae0daa
@ -1,80 +1,88 @@
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{ config, stdenv
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, fetchurl
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, patchelf
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, cudaSupport ? config.cudaSupport or false, symlinkJoin, cudatoolkit, cudnn, nvidia_x11
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{ stdenv
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, fetchurl, python3, which
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, patchelf, fetchFromGitHub, buildBazelPackage
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, cudatoolkit, cudnn, nccl, nvidia_x11, symlinkJoin
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, binutils, gcc, binutils-unwrapped, gcc-unwrapped
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, glibcLocales
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, features ? ["sse4.2" "avx" "avx2" "fma"]
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, arch ? "x86-64"
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, cudaSupport ? false
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, computeCapabilities ? [] # example: [ "7.5" ], see https://developer.nvidia.com/cuda-gpus
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}:
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with stdenv.lib;
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let
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tfType = if cudaSupport then "gpu" else "cpu";
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system =
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if stdenv.isx86_64
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then if stdenv.isLinux then "linux-x86_64"
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else if stdenv.isDarwin then "darwin-x86_64" else unavailable
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else unavailable;
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unavailable = throw "libtensorflow is not available for this platform!";
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inherit (stdenv) lib;
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cudatoolkit_joined = symlinkJoin {
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name = "unsplit_cudatoolkit";
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paths = [ cudatoolkit.out
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cudatoolkit.lib ];};
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rpath = makeLibraryPath ([stdenv.cc.libc stdenv.cc.cc.lib] ++
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optionals cudaSupport [ cudatoolkit_joined cudnn nvidia_x11 ]);
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patchLibs =
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if stdenv.isDarwin
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then ''
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install_name_tool -id $out/lib/libtensorflow.so $out/lib/libtensorflow.so
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install_name_tool -id $out/lib/libtensorflow_framework.so $out/lib/libtensorflow_framework.so
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''
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else ''
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${patchelf}/bin/patchelf --set-rpath "${rpath}:$out/lib" $out/lib/libtensorflow.so
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${patchelf}/bin/patchelf --set-rpath "${rpath}" $out/lib/libtensorflow_framework.so
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'';
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in stdenv.mkDerivation rec {
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pname = "libtensorflow";
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version = "1.9.0";
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name = "${pname}-${version}";
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src = fetchurl {
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url = "https://storage.googleapis.com/tensorflow/${pname}/${pname}-${tfType}-${system}-${version}.tar.gz";
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sha256 =
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if system == "linux-x86_64" then
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if cudaSupport
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then "1q3mh06x344im25z7r3vgrfksfdsi8fh8ldn6y2mf86h4d11yxc3"
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else "0l9ps115ng5ffzdwphlqmj3jhidps2v5afppdzrbpzmy41xz0z21"
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else if system == "darwin-x86_64" then
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if cudaSupport
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then unavailable
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else "1qj0v1706w6mczycdsh38h2glyv5d25v62kdn98wxd5rw8f9v657"
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else unavailable;
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gcc_joined = symlinkJoin {
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name = "gcc-joined";
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paths = [ binutils gcc binutils-unwrapped gcc-unwrapped ];
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};
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# Patch library to use our libc, libstdc++ and others
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buildCommand = ''
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. $stdenv/setup
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mkdir -pv $out
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tar -C $out -xzf $src
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chmod +w $out/lib/libtensorflow.so
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chmod +w $out/lib/libtensorflow_framework.so
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${patchLibs}
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chmod -w $out/lib/libtensorflow.so
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chmod -w $out/lib/libtensorflow_framework.so
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# Write pkgconfig file.
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mkdir $out/lib/pkgconfig
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cat > $out/lib/pkgconfig/tensorflow.pc << EOF
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Name: TensorFlow
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Version: ${version}
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Description: Library for computation using data flow graphs for scalable machine learning
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Requires:
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Libs: -L$out/lib -ltensorflow
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Cflags: -I$out/include/tensorflow
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EOF
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in
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buildBazelPackage rec {
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pname = "tensorflow";
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version = "1.14.0";
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name = "${pname}-${version}";
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bazelFlags = [ "--incompatible_no_support_tools_in_action_inputs=false" ];
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bazelTarget = "//tensorflow/tools/lib_package:libtensorflow";
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fetchAttrs = {
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sha256 = if cudaSupport then
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"127xxwy3a2h1qsv2sqfhrh65g69hlb1q003vyyg7yjfqgfah9p2z"
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else "1di1pnknr1hxdpn75lxf9c6dvb5kgllmgb9r9rgh5c2g9iil17zy";
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};
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CC_OPT_FLAGS = "-march=${arch} " + stdenv.lib.concatMapStringsSep " " (f: "-m"+f) features;
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NIX_CFLAGS_COMPILE = CC_OPT_FLAGS;
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TF_NEED_CUDA = if cudaSupport then "1" else "0";
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TF_IGNORE_MAX_BAZEL_VERSION = "1";
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TF_CUDA_COMPUTE_CAPABILITIES = stdenv.lib.concatStringsSep "," computeCapabilities;
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nativeBuildInputs = [ glibcLocales python3 which ]
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++ (lib.optionals cudaSupport [
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cudatoolkit_joined cudnn nvidia_x11
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]);
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TF_CUDA_PATHS = lib.optionalString cudaSupport "${cudatoolkit_joined},${cudnn}";
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src = fetchFromGitHub {
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repo = "tensorflow";
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owner = "tensorflow";
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rev = "v${version}";
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sha256 = "06jvwlsm14b8rqwd8q8796r0vmn0wk64s4ps2zg0sapkmp9vvcmi";
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};
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prePatch = ''
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# doesn't work:
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sed -i '/saved_model_portable_proto/d' tensorflow/cc/saved_model/BUILD
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# calls ldconfig -p:
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sed -i 's/+ _get_ld_config_paths()//' third_party/gpus/find_cuda_config.py
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patchShebangs ./configure
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patchShebangs tensorflow/tools/lib_package/concat_licenses.sh
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patchShebangs third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl
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'';
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meta = {
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GCC_HOST_COMPILER_PREFIX = lib.optionalString cudaSupport "${gcc_joined}/bin";
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configurePhase = ''
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runHook preConfigure
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./configure
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runHook postConfigure
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'';
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buildAttrs = {
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installPhase = ''
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mkdir -p $out
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tar -xf bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz -C $out
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# Write pkgconfig file.
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mkdir $out/lib/pkgconfig
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cat > $out/lib/pkgconfig/tensorflow.pc << EOF
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Name: TensorFlow
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Version: ${version}
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Description: Library for computation using data flow graphs for scalable machine learning
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Requires:
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Libs: -L$out/lib -ltensorflow
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Cflags: -I$out/include/tensorflow
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EOF
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'';
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};
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meta = with lib; {
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description = "C API for TensorFlow";
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homepage = https://www.tensorflow.org/versions/master/install/install_c;
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license = licenses.asl20;
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platforms = with platforms; linux ++ darwin;
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maintainers = [maintainers.basvandijk];
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maintainers = with maintainers; [ basvandijk yorickvp ];
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};
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}
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@ -1095,8 +1095,9 @@ in
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libtensorflow = callPackage ../development/libraries/libtensorflow {
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inherit (linuxPackages) nvidia_x11;
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cudatoolkit = cudatoolkit_9_0;
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cudnn = cudnn_cudatoolkit_9_0;
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cudatoolkit = cudatoolkit_10_0;
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cudnn = cudnn_cudatoolkit_10_0;
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nccl = nccl_cudatoolkit_10;
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};
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behdad-fonts = callPackage ../data/fonts/behdad-fonts { };
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