python.pkgs.tensorflow: 1.3 -> 1.5

This commit is contained in:
Nikolay Amiantov 2017-11-10 20:07:58 +03:00
parent 102c91d45e
commit 8aeea493a5
2 changed files with 77 additions and 112 deletions

View File

@ -1,8 +1,8 @@
{ stdenv, lib, fetchFromGitHub, fetchpatch, symlinkJoin, buildPythonPackage, isPy3k, pythonOlder
, bazel, which, swig, binutils, glibcLocales
{ stdenv, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin
, buildPythonPackage, isPy3k, pythonOlder, pythonAtLeast
, which, swig, binutils, glibcLocales
, python, jemalloc, openmpi
, numpy, six, protobuf, tensorflow-tensorboard, backports_weakref
, wheel, mock, scipy
, numpy, six, protobuf, tensorflow-tensorboard, backports_weakref, mock, enum34, absl-py
, xlaSupport ? true
, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null
# Default from ./configure script
@ -12,7 +12,8 @@
, fmaSupport ? false
}:
assert cudaSupport -> cudatoolkit != null
assert cudaSupport -> nvidia_x11 != null
&& cudatoolkit != null
&& cudnn != null;
# unsupported combination
@ -27,40 +28,49 @@ let
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";
version = "1.5.0";
pkg = buildBazelPackage rec {
name = "tensorflow-build-${version}";
src = fetchFromGitHub {
owner = "tensorflow";
repo = "tensorflow";
rev = "v${version}";
sha256 = "0gvi32dvv4ynr05p0gg5i0a6c55pig48k5qm7zslcqnp4sifwx0i";
sha256 = "1c4djsaip901nasm7a6dsimr02bsv70a7b1g0kysb4n39qpdh22q";
};
nativeBuildInputs = [ swig which wheel scipy ];
patches = [
# Fix build with Bazel >= 0.10
(fetchpatch {
url = "https://github.com/tensorflow/tensorflow/commit/6fcfab770c2672e2250e0f5686b9545d99eb7b2b.patch";
sha256 = "0p61za1mx3a7gj1s5lsps16fcw18iwnvq2b46v1kyqfgq77a12vb";
})
(fetchpatch {
url = "https://github.com/tensorflow/tensorflow/commit/3f57956725b553d196974c9ad31badeb3eabf8bb.patch";
sha256 = "11dja5gqy0qw27sc9b6yw9r0lfk8dznb32vrqqfcnypk2qmv26va";
})
];
buildInputs = [ python jemalloc openmpi glibcLocales ]
++ lib.optionals cudaSupport [ cudatoolkit cudnn ];
nativeBuildInputs = [ swig which ];
propagatedBuildInputs = [ numpy six protobuf ]
++ lib.optional (!isPy3k) mock
++ lib.optional (pythonOlder "3.4") backports_weakref
++ lib.optional withTensorboard tensorflow-tensorboard;
buildInputs = [ python jemalloc openmpi glibcLocales numpy ]
++ lib.optionals cudaSupport [ cudatoolkit cudnn nvidia_x11 ];
preConfigure = ''
patchShebangs configure
export HOME="$NIX_BUILD_TOP"
export PYTHON_BIN_PATH="${python.interpreter}"
export PYTHON_LIB_PATH="$NIX_BUILD_TOP/site-packages"
export TF_NEED_GCP=1
export TF_NEED_HDFS=1
export TF_NEED_CUDA=${tfFeature cudaSupport}
export TF_NEED_MPI=1
export TF_ENABLE_XLA=${tfFeature xlaSupport}
export CC_OPT_FLAGS=" "
# https://github.com/tensorflow/tensorflow/issues/14454
export TF_NEED_MPI=${tfFeature cudaSupport}
export TF_NEED_CUDA=${tfFeature cudaSupport}
${lib.optionalString cudaSupport ''
export CUDA_TOOLKIT_PATH=${cudatoolkit_joined}
export TF_CUDA_VERSION=${cudatoolkit.majorVersion}
@ -70,13 +80,11 @@ let
export TF_CUDA_COMPUTE_CAPABILITIES=${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
mkdir -p "$PYTHON_LIB_PATH"
'';
NIX_LDFLAGS = lib.optionals cudaSupport [ "-lcublas" "-lcudnn" "-lcuda" "-lcudart" ];
hardeningDisable = [ "all" ];
bazelFlags = [ "--config=opt" ]
@ -87,101 +95,59 @@ let
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;
fetchAttrs = {
preInstall = ''
rm -rf $bazelOut/external/{bazel_tools,\@bazel_tools.marker,local_*,\@local_*}
'';
sha256 = "1nc98aqrp14q7llypcwaa0kdn9xi7r0p1mnd3vmmn1m299py33ca";
};
};
in buildPythonPackage (common // {
pname = "tensorflow";
version = common.version;
name = "tensorflow-${common.version}";
buildAttrs = {
preBuild = ''
patchShebangs .
find -type f -name CROSSTOOL\* -exec sed -i \
-e 's,/usr/bin/ar,${binutils.bintools}/bin/ar,g' \
{} \;
'';
deps = stdenv.mkDerivation (common // {
name = "tensorflow-external-${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 $out
'';
installPhase = ''
sed -i 's,.*bdist_wheel.*,cp -rL . "$out"; exit 0,' bazel-bin/tensorflow/tools/pip_package/build_pip_package
bazel-bin/tensorflow/tools/pip_package/build_pip_package $PWD/dist
'';
};
dontFixup = true;
};
outputHashMode = "recursive";
outputHashAlgo = "sha256";
outputHash = "0xs2n061gnpizfcnhs5jjpfk2av634j1l2l17zhy10bbmrwn3vrp";
});
in buildPythonPackage rec {
pname = "tensorflow";
inherit version;
name = "${pname}-${version}";
nativeBuildInputs = common.nativeBuildInputs ++ [ (bazel.override { enableNixHacks = true; }) ];
src = pkg;
configurePhase = ''
runHook preConfigure
export PYTHON_LIB_PATH="$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 $PWD/dist
'';
# tensorflow depends on tensorflow_tensorboard, which cannot be
# built at the moment (some of its dependencies do not build
# [htlm5lib9999999 (seven nines) -> tensorboard], and it depends on an old version of
# bleach) Hence we disable dependency checking for now.
installFlags = lib.optional (!withTensorboard) "--no-dependencies";
# Tests are slow and impure.
doCheck = false;
# For some reason, CUDA is not retained in RPATH.
postFixup = lib.optionalString cudaSupport ''
libPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
patchelf --set-rpath "$(patchelf --print-rpath "$libPath"):${cudaLibPath}" "$libPath"
postPatch = lib.optionalString (pythonAtLeast "3.4") ''
sed -i '/enum34/d' setup.py
'';
doInstallCheck = true;
installCheckPhase = ''
cd $NIX_BUILD_TOP
propagatedBuildInputs = [ numpy six protobuf absl-py ]
++ lib.optional (!isPy3k) mock
++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ]
++ lib.optional withTensorboard tensorflow-tensorboard;
# Actual tests are slow and impure.
checkPhase = ''
${python.interpreter} -c "import tensorflow"
'';
})
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;
};
}

View File

@ -21272,11 +21272,10 @@ EOF
tensorflow-tensorboard = callPackage ../development/python-modules/tensorflow-tensorboard { };
tensorflow = callPackage ../development/python-modules/tensorflow rec {
bazel = pkgs.bazel_0_4;
cudaSupport = pkgs.config.cudaSupport or false;
inherit (pkgs.linuxPackages) nvidia_x11;
cudatoolkit = pkgs.cudatoolkit8;
cudnn = pkgs.cudnn6_cudatoolkit8;
cudatoolkit = pkgs.cudatoolkit9;
cudnn = pkgs.cudnn_cudatoolkit9;
};
tensorflowWithoutCuda = self.tensorflow.override {