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{ stdenv
, lib
, fetchurl
, buildPythonPackage
, isPy3k, isPy36, pythonOlder
, astor
, gast
, numpy
, six
, termcolor
, protobuf
, absl-py
, mock
, backports_weakref
, enum34
, tensorflow-tensorboard
, cudaSupport ? false
, cudatoolkit ? null
, cudnn ? null
, nvidia_x11 ? null
, zlib
, python
, symlinkJoin
}:
# 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;
let
cudatoolkit_joined = symlinkJoin {
name = "unsplit_cudatoolkit";
paths = [ cudatoolkit.out
cudatoolkit.lib ];};
in buildPythonPackage rec {
pname = "tensorflow";
version = "1.7.1";
format = "wheel";
src = let
pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) "${python.majorVersion}";
version = if stdenv.isDarwin then builtins.substring 0 1 pyVerNoDot else pyVerNoDot;
platform = if stdenv.isDarwin then "mac" else "linux";
unit = if cudaSupport then "gpu" else "cpu";
key = "${platform}_py_${version}_${unit}";
dls = import ./tf1.7.1-hashes.nix;
in fetchurl dls.${key};
propagatedBuildInputs = [ numpy six protobuf absl-py astor gast termcolor ]
++ lib.optional (!isPy3k) mock
++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ]
++ lib.optional (pythonOlder "3.6") tensorflow-tensorboard;
# 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 isPy36 "--no-dependencies";
# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
# and the propageted input tensorflow-tensorboard which causes environment collisions.
#
# https://github.com/tensorflow/tensorflow/blob/v1.7.1/tensorflow/tools/pip_package/setup.py#L79
postInstall = ''
rm $out/bin/tensorboard
'';
# Note that we need to run *after* the fixup phase because the
# libraries are loaded at runtime. If we run in preFixup then
# patchelf --shrink-rpath will remove the cuda libraries.
postFixup = let
rpath = stdenv.lib.makeLibraryPath
([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit_joined cudnn nvidia_x11 ]);
in
lib.optionalString (stdenv.isLinux) ''
rrPath="$out/${python.sitePackages}/tensorflow/:${rpath}"
internalLibPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
find $out -name '*${stdenv.hostPlatform.extensions.sharedLibrary}' -exec patchelf --set-rpath "$rrPath" {} \;
'';
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; linux ++ lib.optionals (!cudaSupport) darwin;
# Python 2.7 build uses different string encoding.
# See https://github.com/NixOS/nixpkgs/pull/37044#issuecomment-373452253
broken = stdenv.isDarwin && !isPy3k;
};
}
|