pythonPackages.tensorflow: 1.5.0 -> 1.7.1

Re-instates binary build for all versions.
This commit is contained in:
Jean-Philippe Bernardy 2018-05-30 16:38:51 +02:00
parent 397c4b7748
commit 82540b5e1a
4 changed files with 111 additions and 14 deletions

View File

@ -2,7 +2,7 @@
, lib
, fetchurl
, buildPythonPackage
, isPy3k, isPy36, pythonOlder
, isPy3k, isPy35, isPy36, pythonOlder
, numpy
, six
, protobuf
@ -12,20 +12,40 @@
, enum34
, tensorflow-tensorboard
, cudaSupport ? false
, cudatoolkit ? null
, cudnn ? null
, nvidia_x11 ? null
, zlib
, python
, symlinkJoin
}:
# tensorflow is built from a downloaded wheel because the source
# build doesn't yet work on Darwin.
# 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
buildPythonPackage rec {
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 = "1.5.0";
version = "1.7.1";
format = "wheel";
src = fetchurl {
url = "https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-${version}-py3-none-any.whl";
sha256 = "1mapv45n9wmgcq3i3im0pv0gmhwkxw5z69nsnxb1gfxbj1mz5h9m";
};
src = let
pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) "${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 ]
++ lib.optional (!isPy3k) mock
@ -38,14 +58,28 @@ buildPythonPackage rec {
# bleach) Hence we disable dependency checking for now.
installFlags = lib.optional isPy36 "--no-dependencies";
# 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 = platforms.darwin;
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 = cudaSupport || !isPy3k;
broken = stdenv.isDarwin && !isPy3k;
};
}

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@ -0,0 +1,29 @@
version=1.7.1
hashfile=tf${version}-hashes.nix
rm -f $hashfile
echo "{" >> $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"; do
if [ $sys == "mac" ]; then
[[ $pykind =~ py.* ]] && [[ $tfpref =~ cpu.* ]]
result=$?
pyver=${pykind:2:1}
flavour=cpu
else
[[ $pykind =~ .*linux.* ]]
result=$?
pyver=${pykind:2:2}
flavour=${tfpref:0:3}
fi
if [ $result == 0 ]; then
url=https://storage.googleapis.com/tensorflow/$sys/$tfpref-$version-$pykind.whl
hash=$(nix-prefetch-url $url)
echo "${sys}_py_${pyver}_${flavour} = {" >> $hashfile
echo " url = \"$url\";" >> $hashfile
echo " sha256 = \"$hash\";" >> $hashfile
echo "};" >> $hashfile
fi
done
done
done

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@ -0,0 +1,34 @@
{
linux_py_27_cpu = {
url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.7.1-cp27-none-linux_x86_64.whl";
sha256 = "0p8n5x74qmdv9g63y176xqpfdc1gawzjysn79bvk46knrks3pa2b";
};
linux_py_35_cpu = {
url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.7.1-cp35-cp35m-linux_x86_64.whl";
sha256 = "050qv8fjpnw2y8da7s910jv4nsxg56d3xdpl09jim47kbwqabr5m";
};
linux_py_36_cpu = {
url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.7.1-cp36-cp36m-linux_x86_64.whl";
sha256 = "00d5cij1mh64hh0zc2qfl8z2hpr3nna6lhpsc6qh4am1g7wz4ndn";
};
linux_py_27_gpu = {
url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.7.1-cp27-none-linux_x86_64.whl";
sha256 = "0ami6nlp9cwg631a8f5rfpzpwb9ls9zxhsx61cimw46xljx3l2b5";
};
linux_py_35_gpu = {
url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.7.1-cp35-cp35m-linux_x86_64.whl";
sha256 = "1xfc8dww52fy8g4b0j8r20q7yj2bfg20hlk9p7sk3k9z8swfw0kc";
};
linux_py_36_gpu = {
url = "https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.7.1-cp36-cp36m-linux_x86_64.whl";
sha256 = "1kkqx8m7h03b8l9l6dki4g4r7sgi3wbb4dp9gvk6l08n4vnlvc50";
};
mac_py_2_cpu = {
url = "https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.7.1-py2-none-any.whl";
sha256 = "1icbsvvwkkc09s6bdd43drvnhc6v6xmnqwjzipgc8rmpj1z71yz5";
};
mac_py_3_cpu = {
url = "https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.7.1-py3-none-any.whl";
sha256 = "0s5dy956jvwazqflc90v15i912zvhwsbzlf0cl8k7isq52j6g3kp";
};
}

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@ -17580,11 +17580,11 @@ EOF
tensorflow =
if stdenv.isDarwin
then callPackage ../development/python-modules/tensorflow/bin.nix { }
else callPackage ../development/python-modules/tensorflow rec {
else callPackage ../development/python-modules/tensorflow/bin.nix rec {
cudaSupport = pkgs.config.cudaSupport or false;
inherit (pkgs.linuxPackages) nvidia_x11;
cudatoolkit = pkgs.cudatoolkit_9;
cudnn = pkgs.cudnn_cudatoolkit_9;
cudatoolkit = pkgs.cudatoolkit_9_0;
cudnn = pkgs.cudnn_cudatoolkit_9_0;
};
tensorflowWithoutCuda = self.tensorflow.override {