nixpkgs/pkgs/development/python-modules/tensorflow/default.nix

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{ stdenv, lib, fetchFromGitHub, fetchpatch, symlinkJoin, buildPythonPackage, isPy3k, pythonOlder
, bazel, which, swig, binutils, glibcLocales
, python, jemalloc, openmpi
, numpy, six, protobuf, tensorflow-tensorboard, backports_weakref
, wheel, mock, scipy
, xlaSupport ? true
, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null
# Default from ./configure script
, cudaCapabilities ? [ "3.5" "5.2" ]
, sse42Support ? false
, avx2Support ? false
, fmaSupport ? false
}:
assert cudaSupport -> cudatoolkit != null
&& cudnn != null;
# unsupported combination
assert ! (stdenv.isDarwin && cudaSupport);
let
withTensorboard = pythonOlder "3.6";
cudatoolkit_joined = symlinkJoin {
name = "${cudatoolkit.name}-unsplit";
paths = [ cudatoolkit.out cudatoolkit.lib ];
};
cudaLibPath = lib.makeLibraryPath [ cudatoolkit.out cudatoolkit.lib nvidia_x11 cudnn ];
tfFeature = x: if x then "1" else "0";
common = rec {
version = "1.3.1";
src = fetchFromGitHub {
owner = "tensorflow";
repo = "tensorflow";
rev = "v${version}";
sha256 = "0gvi32dvv4ynr05p0gg5i0a6c55pig48k5qm7zslcqnp4sifwx0i";
};
nativeBuildInputs = [ swig which wheel scipy ];
buildInputs = [ python jemalloc openmpi glibcLocales ]
++ lib.optionals cudaSupport [ cudatoolkit cudnn ];
propagatedBuildInputs = [ numpy six protobuf ]
++ lib.optional (!isPy3k) mock
++ lib.optional (pythonOlder "3.4") backports_weakref
++ lib.optional withTensorboard tensorflow-tensorboard;
preConfigure = ''
patchShebangs configure
export HOME="$NIX_BUILD_TOP"
export PYTHON_BIN_PATH="${python.interpreter}"
export TF_NEED_GCP=1
export TF_NEED_HDFS=1
export TF_NEED_CUDA=${tfFeature cudaSupport}
export TF_NEED_MPI=1
export TF_ENABLE_XLA=${tfFeature xlaSupport}
${lib.optionalString cudaSupport ''
export CUDA_TOOLKIT_PATH=${cudatoolkit_joined}
export TF_CUDA_VERSION=${cudatoolkit.majorVersion}
export CUDNN_INSTALL_PATH=${cudnn}
export TF_CUDNN_VERSION=${cudnn.majorVersion}
export GCC_HOST_COMPILER_PATH=${cudatoolkit.cc}/bin/gcc
export TF_CUDA_COMPUTE_CAPABILITIES=${lib.concatStringsSep "," cudaCapabilities}
''}
# There is _no_ non-interactive mode of configure.
sed -i \
-e 's,read -p,echo,g' \
-e 's,lib64,lib,g' \
configure
'';
hardeningDisable = [ "all" ];
bazelFlags = [ "--config=opt" ]
++ lib.optional sse42Support "--copt=-msse4.2"
++ lib.optional avx2Support "--copt=-mavx2"
++ lib.optional fmaSupport "--copt=-mfma"
++ lib.optional cudaSupport "--config=cuda";
bazelTarget = "//tensorflow/tools/pip_package:build_pip_package";
meta = with stdenv.lib; {
description = "Computation using data flow graphs for scalable machine learning";
homepage = "http://tensorflow.org";
license = licenses.asl20;
maintainers = with maintainers; [ jyp abbradar ];
platforms = with platforms; if cudaSupport then linux else linux ++ darwin;
};
};
in buildPythonPackage (common // {
pname = "tensorflow";
version = common.version;
name = "tensorflow-${common.version}";
deps = stdenv.mkDerivation (common // {
name = "tensorflow-external-${common.version}";
nativeBuildInputs = common.nativeBuildInputs ++ [ bazel ];
preConfigure = common.preConfigure + ''
export PYTHON_LIB_PATH="$(pwd)/site-packages"
'';
buildPhase = ''
mkdir site-packages
bazel --output_base="$(pwd)/output" fetch $bazelFlags $bazelTarget
'';
installPhase = ''
rm -rf output/external/{bazel_tools,\@bazel_tools.marker,local_*,\@local_*}
# Patching markers to make them deterministic
for i in output/external/\@*.marker; do
sed -i 's, -\?[0-9][0-9]*$, 1,' "$i"
done
# Patching symlinks to remove build directory reference
find output/external -type l | while read symlink; do
ln -sf $(readlink "$symlink" | sed "s,$NIX_BUILD_TOP,NIX_BUILD_TOP,") "$symlink"
done
cp -r output/external $out
'';
dontFixup = true;
outputHashMode = "recursive";
outputHashAlgo = "sha256";
outputHash = "0xs2n061gnpizfcnhs5jjpfk2av634j1l2l17zhy10bbmrwn3vrp";
});
nativeBuildInputs = common.nativeBuildInputs ++ [ (bazel.override { enableNixHacks = true; }) ];
configurePhase = ''
runHook preConfigure
export PYTHON_LIB_PATH="$out/${python.sitePackages}"
./configure
runHook postConfigure
'';
buildPhase = ''
mkdir -p output/external
cp -r $deps/* output/external
chmod -R +w output
find output -type l | while read symlink; do
ln -sf $(readlink "$symlink" | sed "s,NIX_BUILD_TOP,$NIX_BUILD_TOP,") "$symlink"
done
patchShebangs .
find -type f -name CROSSTOOL\* -exec sed -i \
-e 's,/usr/bin/ar,${binutils}/bin/ar,g' \
{} \;
mkdir -p $out/${python.sitePackages}
bazel --output_base="$(pwd)/output" build $bazelFlags $bazelTarget
bazel-bin/tensorflow/tools/pip_package/build_pip_package $PWD/dist
'';
# tensorflow depends on tensorflow_tensorboard, which cannot be
2017-09-11 09:23:40 +00:00
# built at the moment (some of its dependencies do not build
# [htlm5lib9999999 (seven nines) -> tensorboard], and it depends on an old version of
# bleach) Hence we disable dependency checking for now.
installFlags = lib.optional (!withTensorboard) "--no-dependencies";
# Tests are slow and impure.
doCheck = false;
# For some reason, CUDA is not retained in RPATH.
postFixup = lib.optionalString cudaSupport ''
libPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
patchelf --set-rpath "$(patchelf --print-rpath "$libPath"):${cudaLibPath}" "$libPath"
'';
doInstallCheck = true;
installCheckPhase = ''
cd $NIX_BUILD_TOP
${python.interpreter} -c "import tensorflow"
'';
})