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{ stdenv
, lib
, fetchurl
, buildPythonPackage
, isPy3k, pythonOlder, isPy38
, astor
, gast
, google-pasta
, wrapt
, numpy
, six
, termcolor
, protobuf
, absl-py
, grpcio
, mock
, scipy
, wheel
, opt-einsum
, backports_weakref
, tensorflow-estimator
, tensorflow-tensorboard
, cudaSupport ? false
, cudatoolkit ? null
, cudnn ? null
, nvidia_x11 ? null
, zlib
, python
, symlinkJoin
, keras-applications
, keras-preprocessing
, addOpenGLRunpath
}:
# We keep this binary build for two reasons:
# - the source build doesn't work on Darwin.
# - the source build is currently brittle and not easy to maintain
assert cudaSupport -> cudatoolkit != null
&& cudnn != null
&& nvidia_x11 != null;
# unsupported combination
assert ! (stdenv.isDarwin && cudaSupport);
let
packages = import ./binary-hashes.nix;
variant = if cudaSupport then "-gpu" else "";
pname = "tensorflow${variant}";
in buildPythonPackage {
inherit pname;
inherit (packages) version;
format = "wheel";
disabled = isPy38;
src = let
pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) python.pythonVersion;
platform = if stdenv.isDarwin then "mac" else "linux";
unit = if cudaSupport then "gpu" else "cpu";
key = "${platform}_py_${pyVerNoDot}_${unit}";
in fetchurl packages.${key};
propagatedBuildInputs = [
protobuf
numpy
scipy
termcolor
grpcio
six
astor
absl-py
gast
opt-einsum
google-pasta
wrapt
tensorflow-estimator
tensorflow-tensorboard
keras-applications
keras-preprocessing
] ++ lib.optional (!isPy3k) mock
++ lib.optionals (pythonOlder "3.4") [ backports_weakref ];
nativeBuildInputs = [ wheel ] ++ lib.optional cudaSupport addOpenGLRunpath;
preConfigure = ''
unset SOURCE_DATE_EPOCH
# Make sure that dist and the wheel file are writable.
chmod u+rwx -R ./dist
pushd dist
# Unpack the wheel file.
wheel unpack --dest unpacked ./*.whl
# Tensorflow has a hard dependency on gast==0.2.2, but we relax it to
# gast==0.3.2.
substituteInPlace ./unpacked/tensorflow*/tensorflow_core/tools/pip_package/setup.py --replace "gast == 0.2.2" "gast == 0.3.2"
substituteInPlace ./unpacked/tensorflow*/tensorflow_*.dist-info/METADATA --replace "gast (==0.2.2)" "gast (==0.3.2)"
# Pack the wheel file back up.
wheel pack ./unpacked/tensorflow*
popd
'';
# Note that we need to run *after* the fixup phase because the
# libraries are loaded at runtime. If we run in preFixup then
# patchelf --shrink-rpath will remove the cuda libraries.
postFixup =
let
# rpaths we only need to add if CUDA is enabled.
cudapaths = lib.optionals cudaSupport [
cudatoolkit.out
cudatoolkit.lib
cudnn
nvidia_x11
];
libpaths = [
stdenv.cc.cc.lib
zlib
];
rpath = stdenv.lib.makeLibraryPath (libpaths ++ cudapaths);
in
lib.optionalString stdenv.isLinux ''
# This is an array containing all the directories in the tensorflow2
# package that contain .so files.
#
# TODO: Create this list programmatically, and remove paths that aren't
# actually needed.
rrPathArr=(
"$out/${python.sitePackages}/tensorflow_core/"
"$out/${python.sitePackages}/tensorflow_core/compiler/tf2tensorrt/"
"$out/${python.sitePackages}/tensorflow_core/compiler/tf2xla/ops/"
"$out/${python.sitePackages}/tensorflow_core/lite/experimental/microfrontend/python/ops/"
"$out/${python.sitePackages}/tensorflow_core/lite/python/interpreter_wrapper/"
"$out/${python.sitePackages}/tensorflow_core/lite/python/optimize/"
"$out/${python.sitePackages}/tensorflow_core/python/"
"$out/${python.sitePackages}/tensorflow_core/python/framework/"
"${rpath}"
)
# The the bash array into a colon-separated list of RPATHs.
rrPath=$(IFS=$':'; echo "''${rrPathArr[*]}")
echo "about to run patchelf with the following rpath: $rrPath"
find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
echo "about to patchelf $lib..."
chmod a+rx "$lib"
patchelf --set-rpath "$rrPath" "$lib"
${lib.optionalString cudaSupport ''
addOpenGLRunpath "$lib"
''}
done
'';
pythonImportsCheck = [
"tensorflow"
"tensorflow.keras"
"tensorflow.python"
"tensorflow.python.framework"
];
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 cdepillabout ];
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;
};
}
|