libtensorflow: 1.9 -> 1.14.0

This also changes it to a from-source build.
This commit is contained in:
Yorick van Pelt 2019-06-16 14:58:23 +02:00 committed by Nikolay Amiantov
parent 3df4e2df95
commit 2e46ae0daa
2 changed files with 77 additions and 68 deletions

View File

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

View File

@ -1095,8 +1095,9 @@ in
libtensorflow = callPackage ../development/libraries/libtensorflow { libtensorflow = callPackage ../development/libraries/libtensorflow {
inherit (linuxPackages) nvidia_x11; inherit (linuxPackages) nvidia_x11;
cudatoolkit = cudatoolkit_9_0; cudatoolkit = cudatoolkit_10_0;
cudnn = cudnn_cudatoolkit_9_0; cudnn = cudnn_cudatoolkit_10_0;
nccl = nccl_cudatoolkit_10;
}; };
behdad-fonts = callPackage ../data/fonts/behdad-fonts { }; behdad-fonts = callPackage ../data/fonts/behdad-fonts { };