Merge pull request #64716 from abbradar/tensorflow-revive

Build Tensorflow and libtensorflow from source
This commit is contained in:
Nikolay Amiantov 2019-07-31 13:52:20 +03:00 committed by GitHub
commit 6ee9799164
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GPG key ID: 4AEE18F83AFDEB23
13 changed files with 472 additions and 172 deletions

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@ -4,7 +4,7 @@
, lib
}:
args@{ name, bazelFlags ? [], bazelTarget, buildAttrs, fetchAttrs, ... }:
args@{ name, bazelFlags ? [], bazelBuildFlags ? [], bazelFetchFlags ? [], bazelTarget, buildAttrs, fetchAttrs, ... }:
let
fArgs = removeAttrs args [ "buildAttrs" "fetchAttrs" ];
@ -12,11 +12,11 @@ let
fFetchAttrs = fArgs // removeAttrs fetchAttrs [ "sha256" ];
in stdenv.mkDerivation (fBuildAttrs // {
inherit name bazelFlags bazelTarget;
inherit name bazelFlags bazelBuildFlags bazelFetchFlags bazelTarget;
deps = stdenv.mkDerivation (fFetchAttrs // {
name = "${name}-deps";
inherit bazelFlags bazelTarget;
inherit bazelFlags bazelBuildFlags bazelFetchFlags bazelTarget;
nativeBuildInputs = fFetchAttrs.nativeBuildInputs or [] ++ [ bazel ];
@ -49,6 +49,7 @@ in stdenv.mkDerivation (fBuildAttrs // {
fetch \
--loading_phase_threads=1 \
$bazelFlags \
$bazelFetchFlags \
$bazelTarget
runHook postBuild
@ -149,6 +150,7 @@ in stdenv.mkDerivation (fBuildAttrs // {
"''${host_linkopts[@]}" \
'' + ''
$bazelFlags \
$bazelBuildFlags \
$bazelTarget
runHook postBuild

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@ -1,80 +0,0 @@
{ config, stdenv
, fetchurl
, patchelf
, cudaSupport ? config.cudaSupport or false, symlinkJoin, cudatoolkit, cudnn, nvidia_x11
}:
with stdenv.lib;
let
tfType = if cudaSupport then "gpu" else "cpu";
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 {
name = "unsplit_cudatoolkit";
paths = [ cudatoolkit.out
cudatoolkit.lib ];};
rpath = makeLibraryPath ([stdenv.cc.libc stdenv.cc.cc.lib] ++
optionals cudaSupport [ cudatoolkit_joined cudnn nvidia_x11 ]);
patchLibs =
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;
};
# Patch library to use our libc, libstdc++ and others
buildCommand = ''
. $stdenv/setup
mkdir -pv $out
tar -C $out -xzf $src
chmod +w $out/lib/libtensorflow.so
chmod +w $out/lib/libtensorflow_framework.so
${patchLibs}
chmod -w $out/lib/libtensorflow.so
chmod -w $out/lib/libtensorflow_framework.so
# 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 = {
description = "C API for TensorFlow";
homepage = https://www.tensorflow.org/versions/master/install/install_c;
license = licenses.asl20;
platforms = with platforms; linux ++ darwin;
maintainers = [maintainers.basvandijk];
};
}

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@ -0,0 +1,72 @@
{ stdenv
, fetchurl
, patchelf
, cudaSupport ? false, symlinkJoin, cudatoolkit, cudnn, nvidia_x11
}:
with stdenv.lib;
let
unavailable = throw "libtensorflow is not available for this platform!";
tfType = if cudaSupport then "gpu" else "cpu";
system =
if stdenv.isLinux then "linux"
else if stdenv.isDarwin then "darwin"
else unavailable;
platform =
if stdenv.isx86_64 then "x86_64"
else unavailable;
rpath = makeLibraryPath ([stdenv.cc.libc stdenv.cc.cc.lib] ++
optionals cudaSupport [ cudatoolkit.out cudatoolkit.lib cudnn nvidia_x11 ]);
packages = import ./binary-hashes.nix;
packageName = "${tfType}-${system}-${platform}";
url = packages.${packageName} or unavailable;
patchLibs =
if stdenv.isDarwin
then ''
install_name_tool -id $out/lib/libtensorflow.dylib $out/lib/libtensorflow.dylib
install_name_tool -id $out/lib/libtensorflow_framework.dylib $out/lib/libtensorflow_framework.dylib
''
else ''
patchelf --set-rpath "${rpath}:$out/lib" $out/lib/libtensorflow.so
patchelf --set-rpath "${rpath}" $out/lib/libtensorflow_framework.so
'';
in stdenv.mkDerivation rec {
pname = "libtensorflow";
inherit (packages) version;
src = fetchurl url;
# Patch library to use our libc, libstdc++ and others
buildCommand = ''
mkdir -pv $out
tar -C $out -xzf $src
chmod -R +w $out
${patchLibs}
# 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 = {
description = "C API for TensorFlow";
homepage = https://www.tensorflow.org/install/lang_c;
license = licenses.asl20;
platforms = [ "x86_64-linux" "x86_64-darwin" ];
maintainers = with maintainers; [ basvandijk ];
};
}

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@ -0,0 +1,15 @@
{
version = "1.14.0";
"cpu-linux-x86_64" = {
url = "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-1.14.0.tar.gz";
sha256 = "04bi3ijq4sbb8c5vk964zlv0j9mrjnzzxd9q9knq3h273nc1a36k";
};
"gpu-linux-x86_64" = {
url = "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-gpu-linux-x86_64-1.14.0.tar.gz";
sha256 = "1ffnpyj9jjgwxpjfiyjvq4dm3n6nwiksim5jld9zw7fdswh215x6";
};
"cpu-darwin-x86_64" = {
url = "https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-darwin-x86_64-1.14.0.tar.gz";
sha256 = "0zsd5ils1a17j6jzh0c7q1z56fw46gkzybbnms7h2rgg8al0rh92";
};
}

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@ -0,0 +1,24 @@
#!/usr/bin/env bash
version=1.14.0
hashfile=binary-hashes.nix
rm -f $hashfile
echo "{" >> $hashfile
echo "version = \"$version\";" >> $hashfile
for sys in "linux" "darwin"; do
for tfpref in "cpu" "gpu"; do
for platform in "x86_64"; do
if [ $sys = "darwin" ] && [ $tfpref = "gpu" ]; then
continue
fi
url=https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-$tfpref-$sys-$platform-$version.tar.gz
hash=$(nix-prefetch-url $url)
echo "\"${tfpref}-${sys}-${platform}\" = {" >> $hashfile
echo " url = \"$url\";" >> $hashfile
echo " sha256 = \"$hash\";" >> $hashfile
echo "};" >> $hashfile
done
done
done
echo "}" >> $hashfile

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@ -35,15 +35,19 @@
assert cudaSupport -> cudatoolkit != null
&& cudnn != null
&& nvidia_x11 != null;
# unsupported combination
assert ! (stdenv.isDarwin && cudaSupport);
let
cudatoolkit_joined = symlinkJoin {
name = "unsplit_cudatoolkit";
paths = [ cudatoolkit.out
cudatoolkit.lib ];};
packages = import ./binary-hashes.nix;
variant = if cudaSupport then "-gpu" else "";
pname = "tensorflow${variant}";
in buildPythonPackage rec {
pname = "tensorflow";
version = "1.14.0";
inherit pname;
inherit (packages) version;
format = "wheel";
src = let
@ -52,8 +56,7 @@ in buildPythonPackage rec {
platform = if stdenv.isDarwin then "mac" else "linux";
unit = if cudaSupport then "gpu" else "cpu";
key = "${platform}_py_${pyver}_${unit}";
dls = import (./. + "/tf${version}-hashes.nix");
in fetchurl dls.${key};
in fetchurl packages.${key};
propagatedBuildInputs = [
protobuf
@ -86,9 +89,9 @@ in buildPythonPackage rec {
# patchelf --shrink-rpath will remove the cuda libraries.
postFixup = let
rpath = stdenv.lib.makeLibraryPath
([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit_joined cudnn nvidia_x11 ]);
([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit.out cudatoolkit.lib cudnn nvidia_x11 ]);
in
lib.optionalString (stdenv.isLinux) ''
lib.optionalString stdenv.isLinux ''
rrPath="$out/${python.sitePackages}/tensorflow/:$out/${python.sitePackages}/tensorflow/contrib/tensor_forest/:${rpath}"
internalLibPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
find $out \( -name '*.so' -or -name '*.so.*' \) -exec patchelf --set-rpath "$rrPath" {} \;
@ -100,7 +103,7 @@ in buildPythonPackage rec {
homepage = http://tensorflow.org;
license = licenses.asl20;
maintainers = with maintainers; [ jyp abbradar ];
platforms = with platforms; linux ++ lib.optionals (!cudaSupport) darwin;
platforms = [ "x86_64-linux" "x86_64-darwin" ];
# Python 2.7 build uses different string encoding.
# See https://github.com/NixOS/nixpkgs/pull/37044#issuecomment-373452253
broken = stdenv.isDarwin && !isPy3k;

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@ -1,4 +1,5 @@
{
version = "1.14.0";
linux_py_27_cpu = {
url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp27-none-linux_x86_64.whl";
sha256 = "0yywdrfk97dh1bxhibspg0raz70fx9lcczj6xlimqy4xb60clx7k";

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@ -1,9 +1,16 @@
{ stdenv, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin
, buildPythonPackage, isPy3k, pythonOlder, pythonAtLeast
, which, swig, binutils, glibcLocales
, python, jemalloc, openmpi
, numpy, six, protobuf, tensorflow-tensorboard, backports_weakref, mock, enum34, absl-py
, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null
{ stdenv, pkgs, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin
# Python deps
, buildPythonPackage, isPy3k, pythonOlder, pythonAtLeast, python
# Python libraries
, numpy, tensorflow-tensorboard, backports_weakref, mock, enum34, absl-py
, future, setuptools, wheel, keras-preprocessing, keras-applications, google-pasta
, termcolor, grpcio, six, wrapt, protobuf, tensorflow-estimator
# Common deps
, git, swig, which, binutils, glibcLocales, cython
# Common libraries
, jemalloc, openmpi, astor, gast, grpc, sqlite, openssl, jsoncpp, re2
, curl, snappy, flatbuffers, icu, double-conversion, libpng, libjpeg, giflib
, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null, nccl ? null
# XLA without CUDA is broken
, xlaSupport ? cudaSupport
# Default from ./configure script
@ -21,128 +28,333 @@ assert cudaSupport -> nvidia_x11 != null
assert ! (stdenv.isDarwin && cudaSupport);
let
withTensorboard = pythonOlder "3.6";
cudatoolkit_joined = symlinkJoin {
name = "${cudatoolkit.name}-unsplit";
name = "${cudatoolkit.name}-merged";
paths = [ cudatoolkit.out cudatoolkit.lib ];
};
cudatoolkit_cc_joined = symlinkJoin {
name = "${cudatoolkit.cc.name}-merged";
paths = [
cudatoolkit.cc
binutils.bintools # for ar, dwp, nm, objcopy, objdump, strip
];
};
# Needed for _some_ system libraries, grep INCLUDEDIR.
includes_joined = symlinkJoin {
name = "tensorflow-deps-merged";
paths = [
pkgs.protobuf
jsoncpp
];
};
tfFeature = x: if x then "1" else "0";
version = "1.5.0";
version = "1.14.0";
variant = if cudaSupport then "-gpu" else "";
pname = "tensorflow${variant}";
pkg = buildBazelPackage rec {
name = "tensorflow-build-${version}";
# TODO: remove after there's support for setupPyDistFlags
setuppy = ../../../development/interpreters/python/run_setup.py;
bazel-build = buildBazelPackage rec {
name = "${pname}-${version}";
src = fetchFromGitHub {
owner = "tensorflow";
repo = "tensorflow";
rev = "v${version}";
sha256 = "1c4djsaip901nasm7a6dsimr02bsv70a7b1g0kysb4n39qpdh22q";
sha256 = "06jvwlsm14b8rqwd8q8796r0vmn0wk64s4ps2zg0sapkmp9vvcmi";
};
patches = [
# Fix build with Bazel >= 0.10
# Work around https://github.com/tensorflow/tensorflow/issues/24752
./no-saved-proto.patch
# Fixes for NixOS jsoncpp
./system-jsoncpp.patch
# https://github.com/tensorflow/tensorflow/pull/29673
(fetchpatch {
url = "https://github.com/tensorflow/tensorflow/commit/6fcfab770c2672e2250e0f5686b9545d99eb7b2b.patch";
sha256 = "0p61za1mx3a7gj1s5lsps16fcw18iwnvq2b46v1kyqfgq77a12vb";
name = "fix-compile-with-cuda-and-mpi.patch";
url = "https://github.com/tensorflow/tensorflow/pull/29673/commits/498e35a3bfe38dd75cf1416a1a23c07c3b59e6af.patch";
sha256 = "1m2qmwv1ysqa61z6255xggwbq6mnxbig749bdvrhnch4zydxb4di";
})
# https://github.com/tensorflow/tensorflow/issues/29220
(fetchpatch {
url = "https://github.com/tensorflow/tensorflow/commit/3f57956725b553d196974c9ad31badeb3eabf8bb.patch";
sha256 = "11dja5gqy0qw27sc9b6yw9r0lfk8dznb32vrqqfcnypk2qmv26va";
name = "bazel-0.27.patch";
url = "https://github.com/tensorflow/tensorflow/commit/cfccbdb8c4a92dd26382419dceb4d934c2380391.patch";
sha256 = "1l56wjia2c4685flsfkkgy471wx3c66wyv8khspv06zchj0k0liw";
})
];
nativeBuildInputs = [ swig which ];
# On update, it can be useful to steal the changes from gentoo
# https://gitweb.gentoo.org/repo/gentoo.git/tree/sci-libs/tensorflow
buildInputs = [ python jemalloc openmpi glibcLocales numpy ]
++ lib.optionals cudaSupport [ cudatoolkit cudnn nvidia_x11 ];
nativeBuildInputs = [
swig which cython
];
preConfigure = ''
buildInputs = [
python
jemalloc
openmpi
glibcLocales
git
# python deps needed during wheel build time
numpy
keras-preprocessing
protobuf
wrapt
gast
astor
absl-py
termcolor
keras-applications
# libs taken from system through the TF_SYS_LIBS mechanism
grpc
sqlite
openssl
jsoncpp
pkgs.protobuf
curl
snappy
flatbuffers
icu
double-conversion
libpng
libjpeg
giflib
re2
pkgs.lmdb
# for building the wheel
setuptools
wheel
] ++ lib.optionals (!isPy3k) [
future
mock
] ++ lib.optionals cudaSupport [
cudatoolkit
cudnn
nvidia_x11
];
# arbitrarily set to the current latest bazel version, overly careful
TF_IGNORE_MAX_BAZEL_VERSION = true;
# Take as many libraries from the system as possible. Keep in sync with
# list of valid syslibs in
# https://github.com/tensorflow/tensorflow/blob/master/third_party/systemlibs/syslibs_configure.bzl
TF_SYSTEM_LIBS = lib.concatStringsSep "," [
"absl_py"
"astor_archive"
"boringssl"
# Not packaged in nixpkgs
# "com_github_googleapis_googleapis"
# "com_github_googlecloudplatform_google_cloud_cpp"
"com_google_protobuf"
"com_google_protobuf_cc"
"com_googlesource_code_re2"
"curl"
"cython"
"double_conversion"
"flatbuffers"
"gast_archive"
"gif_archive"
"grpc"
"hwloc"
"icu"
"jpeg"
"jsoncpp_git"
"keras_applications_archive"
"lmdb"
"nasm"
# "nsync" # not packaged in nixpkgs
"org_sqlite"
"pasta"
"pcre"
"png_archive"
"protobuf_archive"
"six_archive"
"snappy"
"swig"
"termcolor_archive"
"wrapt"
"zlib_archive"
];
INCLUDEDIR = "${includes_joined}/include";
PYTHON_BIN_PATH = python.interpreter;
TF_NEED_GCP = true;
TF_NEED_HDFS = true;
TF_ENABLE_XLA = tfFeature xlaSupport;
CC_OPT_FLAGS = " ";
# https://github.com/tensorflow/tensorflow/issues/14454
TF_NEED_MPI = tfFeature cudaSupport;
TF_NEED_CUDA = tfFeature cudaSupport;
TF_CUDA_PATHS = lib.optionalString cudaSupport "${cudatoolkit_joined},${cudnn},${nccl}";
GCC_HOST_COMPILER_PREFIX = lib.optionalString cudaSupport "${cudatoolkit_cc_joined}/bin";
TF_CUDA_COMPUTE_CAPABILITIES = lib.concatStringsSep "," cudaCapabilities;
postPatch = ''
# https://github.com/tensorflow/tensorflow/issues/20919
sed -i '/androidndk/d' tensorflow/lite/kernels/internal/BUILD
# Tensorboard pulls in a bunch of dependencies, some of which may
# include security vulnerabilities. So we make it optional.
# https://github.com/tensorflow/tensorflow/issues/20280#issuecomment-400230560
sed -i '/tensorboard >=/d' tensorflow/tools/pip_package/setup.py
'';
preConfigure = let
opt_flags = []
++ lib.optionals sse42Support ["-msse4.2"]
++ lib.optionals avx2Support ["-mavx2"]
++ lib.optionals fmaSupport ["-mfma"];
in ''
patchShebangs configure
export PYTHON_BIN_PATH="${python.interpreter}"
export PYTHON_LIB_PATH="$NIX_BUILD_TOP/site-packages"
export TF_NEED_GCP=1
export TF_NEED_HDFS=1
export TF_ENABLE_XLA=${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=${cudatoolkit.majorVersion}
export CUDNN_INSTALL_PATH=${cudnn}
export TF_CUDNN_VERSION=${cudnn.majorVersion}
export GCC_HOST_COMPILER_PATH=${cudatoolkit.cc}/bin/gcc
export TF_CUDA_COMPUTE_CAPABILITIES=${lib.concatStringsSep "," cudaCapabilities}
''}
# dummy ldconfig
mkdir dummy-ldconfig
echo "#!${stdenv.shell}" > dummy-ldconfig/ldconfig
chmod +x dummy-ldconfig/ldconfig
export PATH="$PWD/dummy-ldconfig:$PATH"
export PYTHON_LIB_PATH="$NIX_BUILD_TOP/site-packages"
export CC_OPT_FLAGS="${lib.concatStringsSep " " opt_flags}"
mkdir -p "$PYTHON_LIB_PATH"
'';
NIX_LDFLAGS = lib.optionals cudaSupport [ "-lcublas" "-lcudnn" "-lcuda" "-lcudart" ];
configurePhase = ''
runHook preConfigure
./configure
runHook postConfigure
'';
hardeningDisable = [ "all" ];
# FIXME: Tensorflow uses dlopen() for CUDA libraries.
# No idea why gpr isn't linked properly; perhaps Tensorflow expects a static library?
NIX_LDFLAGS = [ "-lgpr" ] ++ lib.optionals cudaSupport [ "-lcudart" "-lcublas" "-lcufft" "-lcurand" "-lcusolver" "-lcusparse" "-lcudnn" ];
bazelFlags = [ "--config=opt" ]
++ lib.optional sse42Support "--copt=-msse4.2"
++ lib.optional avx2Support "--copt=-mavx2"
++ lib.optional fmaSupport "--copt=-mfma"
++ lib.optional cudaSupport "--config=cuda";
hardeningDisable = [ "format" ];
bazelTarget = "//tensorflow/tools/pip_package:build_pip_package";
bazelFlags = [
# temporary fixes to make the build work with bazel 0.27
"--incompatible_no_support_tools_in_action_inputs=false"
];
bazelBuildFlags = [
"--config=opt" # optimize using the flags set in the configure phase
];
bazelTarget = "//tensorflow/tools/pip_package:build_pip_package //tensorflow/tools/lib_package:libtensorflow";
fetchAttrs = {
preInstall = ''
rm -rf $bazelOut/external/{bazel_tools,\@bazel_tools.marker,local_*,\@local_*}
'';
sha256 = "1nc98aqrp14q7llypcwaa0kdn9xi7r0p1mnd3vmmn1m299py33ca";
# cudaSupport causes fetch of ncclArchive, resulting in different hashes
sha256 = if cudaSupport then
"1rbzvir569ch33bpvm47byx954vr80rjnzrbgs4rg3bqww73hr3k"
else
"1wnhma450zh72raiq7ddd9lyq3a056cjqiy6i7y4sidiy09ncvcg";
};
buildAttrs = {
outputs = [ "out" "python" ];
preBuild = ''
patchShebangs .
find -type f -name CROSSTOOL\* -exec sed -i \
-e 's,/usr/bin/ar,${binutils.bintools}/bin/ar,g' \
{} \;
'';
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 $PWD/dist
mkdir -p "$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
# build the source code, then copy it to $python (build_pip_package
# actually builds a symlink farm so we must dereference them).
bazel-bin/tensorflow/tools/pip_package/build_pip_package --src "$PWD/dist"
cp -Lr "$PWD/dist" "$python"
'';
};
dontFixup = true;
};
in buildPythonPackage rec {
pname = "tensorflow";
inherit version;
inherit version pname;
src = pkg;
src = bazel-build.python;
installFlags = lib.optional (!withTensorboard) "--no-dependencies";
postPatch = lib.optionalString (pythonAtLeast "3.4") ''
sed -i '/enum34/d' setup.py
# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
# and the propagated input tensorflow-tensorboard, which causes environment collisions.
# Another possibility would be to have tensorboard only in the buildInputs
# https://github.com/tensorflow/tensorflow/blob/v1.7.1/tensorflow/tools/pip_package/setup.py#L79
postInstall = ''
rm $out/bin/tensorboard
'';
propagatedBuildInputs = [ numpy six protobuf absl-py ]
++ lib.optional (!isPy3k) mock
++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ]
++ lib.optional withTensorboard tensorflow-tensorboard;
# TODO: remove after there's support for setupPyDistFlags
buildPhase = ''
runHook preBuild
cp ${setuppy} nix_run_setup
${python.interpreter} nix_run_setup --project_name ${pname} bdist_wheel
runHook postBuild
'';
# tensorflow/tools/pip_package/setup.py
propagatedBuildInputs = [
absl-py
astor
gast
google-pasta
keras-applications
keras-preprocessing
numpy
six
protobuf
tensorflow-estimator
termcolor
wrapt
grpcio
] ++ lib.optionals (!isPy3k) [
mock
future # FIXME
] ++ lib.optionals (pythonOlder "3.4") [
backports_weakref enum34
] ++ lib.optionals withTensorboard [
tensorflow-tensorboard
];
# Actual tests are slow and impure.
# TODO try to run them anyway
# TODO better test (files in tensorflow/tools/ci_build/builds/*test)
checkPhase = ''
${python.interpreter} -c "import tensorflow"
'';
passthru.libtensorflow = bazel-build.out;
meta = with stdenv.lib; {
description = "Computation using data flow graphs for scalable machine learning";
homepage = http://tensorflow.org;

View file

@ -0,0 +1,14 @@
diff --git a/tensorflow/cc/saved_model/BUILD b/tensorflow/cc/saved_model/BUILD
index 8626ed0087..27deb34387 100644
--- a/tensorflow/cc/saved_model/BUILD
+++ b/tensorflow/cc/saved_model/BUILD
@@ -49,9 +49,6 @@ cc_library(
# tf_lib depending on the build platform.
"//tensorflow/core:lib",
"//tensorflow/core:protos_all_cc",
- ]) + if_mobile([
- # Mobile-friendly SavedModel proto. See go/portable-proto for more info.
- "//tensorflow/core:saved_model_portable_proto",
]) + if_android([
"//tensorflow/core:android_tensorflow_lib",
]) + if_ios([

View file

@ -1,7 +1,10 @@
#!/usr/bin/env bash
version=1.14.0
hashfile=tf${version}-hashes.nix
hashfile=binary-hashes.nix
rm -f $hashfile
echo "{" >> $hashfile
echo "version = \"$version\";" >> $hashfile
for sys in "linux" "mac"; do
for tfpref in "cpu/tensorflow" "gpu/tensorflow_gpu"; do
for pykind in "py2-none-any" "py3-none-any" "cp27-none-linux_x86_64" "cp35-cp35m-linux_x86_64" "cp36-cp36m-linux_x86_64" "cp37-cp37m-linux_x86_64"; do

View file

@ -0,0 +1,21 @@
diff --git a/third_party/systemlibs/jsoncpp.BUILD b/third_party/systemlibs/jsoncpp.BUILD
index 526fd0c418..646f3fdcea 100644
--- a/third_party/systemlibs/jsoncpp.BUILD
+++ b/third_party/systemlibs/jsoncpp.BUILD
@@ -7,6 +7,7 @@ filegroup(
HEADERS = [
"include/json/autolink.h",
+ "include/json/allocator.h",
"include/json/config.h",
"include/json/features.h",
"include/json/forwards.h",
@@ -23,7 +24,7 @@ genrule(
cmd = """
for i in $(OUTS); do
i=$${i##*/}
- ln -sf $(INCLUDEDIR)/jsoncpp/json/$$i $(@D)/include/json/$$i
+ ln -sf $(INCLUDEDIR)/json/$$i $(@D)/include/json/$$i
done
""",
)

View file

@ -1093,12 +1093,18 @@ in
tensor = libsForQt5.callPackage ../applications/networking/instant-messengers/tensor { };
libtensorflow = callPackage ../development/libraries/libtensorflow {
libtensorflow-bin = callPackage ../development/libraries/science/math/tensorflow/bin.nix {
cudaSupport = pkgs.config.cudaSupport or false;
inherit (linuxPackages) nvidia_x11;
cudatoolkit = cudatoolkit_9_0;
cudnn = cudnn_cudatoolkit_9_0;
cudatoolkit = cudatoolkit_10_0;
cudnn = cudnn_cudatoolkit_10_0;
};
libtensorflow =
if python.pkgs.tensorflow ? libtensorflow
then python.pkgs.tensorflow.libtensorflow
else libtensorflow-bin;
behdad-fonts = callPackage ../data/fonts/behdad-fonts { };
blink1-tool = callPackage ../tools/misc/blink1-tool { };

View file

@ -5700,15 +5700,22 @@ in {
tensorflow-tensorboard = callPackage ../development/python-modules/tensorflow-tensorboard { };
tensorflow =
if stdenv.isDarwin
then callPackage ../development/python-modules/tensorflow/bin.nix { }
else callPackage ../development/python-modules/tensorflow/bin.nix rec {
cudaSupport = pkgs.config.cudaSupport or false;
inherit (pkgs.linuxPackages) nvidia_x11;
cudatoolkit = pkgs.cudatoolkit_10_0;
cudnn = pkgs.cudnn_cudatoolkit_10_0;
};
tensorflow-bin = callPackage ../development/python-modules/tensorflow/bin.nix {
cudaSupport = pkgs.config.cudaSupport or false;
inherit (pkgs.linuxPackages) nvidia_x11;
cudatoolkit = pkgs.cudatoolkit_10;
cudnn = pkgs.cudnn_cudatoolkit_10;
};
tensorflow-build = callPackage ../development/python-modules/tensorflow {
cudaSupport = pkgs.config.cudaSupport or false;
inherit (pkgs.linuxPackages) nvidia_x11;
cudatoolkit = pkgs.cudatoolkit_10;
cudnn = pkgs.cudnn_cudatoolkit_10;
nccl = pkgs.nccl_cudatoolkit_10;
};
tensorflow = if stdenv.isDarwin then self.tensorflow-bin else self.tensorflow-build;
tensorflowWithoutCuda = self.tensorflow.override {
cudaSupport = false;