89 lines
3.0 KiB
Nix
89 lines
3.0 KiB
Nix
{ stdenv
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, lib
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, fetchurl
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, buildPythonPackage
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, isPy3k, isPy35, isPy36, pythonOlder
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, astor
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, gast
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, numpy
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, six
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, termcolor
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, protobuf
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, absl-py
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, mock
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, backports_weakref
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, enum34
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, tensorflow-tensorboard
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, cudaSupport ? false
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, cudatoolkit ? null
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, cudnn ? null
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, nvidia_x11 ? null
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, zlib
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, python
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, symlinkJoin
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}:
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# We keep this binary build for two reasons:
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# - the source build doesn't work on Darwin.
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# - the source build is currently brittle and not easy to maintain
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assert cudaSupport -> cudatoolkit != null
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&& cudnn != null
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&& nvidia_x11 != null;
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let
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cudatoolkit_joined = symlinkJoin {
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name = "unsplit_cudatoolkit";
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paths = [ cudatoolkit.out
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cudatoolkit.lib ];};
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in buildPythonPackage rec {
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pname = "tensorflow";
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version = "1.7.1";
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format = "wheel";
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src = let
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pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) "${python.majorVersion}";
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version = if stdenv.isDarwin then builtins.substring 0 1 pyVerNoDot else pyVerNoDot;
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platform = if stdenv.isDarwin then "mac" else "linux";
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unit = if cudaSupport then "gpu" else "cpu";
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key = "${platform}_py_${version}_${unit}";
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dls = import ./tf1.7.1-hashes.nix;
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in fetchurl dls.${key};
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propagatedBuildInputs = [ numpy six protobuf absl-py astor gast termcolor ]
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++ lib.optional (!isPy3k) mock
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++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ]
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++ lib.optional (pythonOlder "3.6") tensorflow-tensorboard;
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# tensorflow depends on tensorflow_tensorboard, which cannot be
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# built at the moment (some of its dependencies do not build
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# [htlm5lib9999999 (seven nines) -> tensorboard], and it depends on an old version of
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# bleach) Hence we disable dependency checking for now.
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installFlags = lib.optional isPy36 "--no-dependencies";
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# Note that we need to run *after* the fixup phase because the
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# libraries are loaded at runtime. If we run in preFixup then
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# patchelf --shrink-rpath will remove the cuda libraries.
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postFixup = let
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rpath = stdenv.lib.makeLibraryPath
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([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit_joined cudnn nvidia_x11 ]);
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in
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lib.optionalString (stdenv.isLinux) ''
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rrPath="$out/${python.sitePackages}/tensorflow/:${rpath}"
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internalLibPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
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find $out -name '*${stdenv.hostPlatform.extensions.sharedLibrary}' -exec patchelf --set-rpath "$rrPath" {} \;
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'';
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meta = with stdenv.lib; {
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description = "Computation using data flow graphs for scalable machine learning";
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homepage = http://tensorflow.org;
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license = licenses.asl20;
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maintainers = with maintainers; [ jyp abbradar ];
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platforms = with platforms; linux ++ lib.optionals (!cudaSupport) darwin;
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# Python 2.7 build uses different string encoding.
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# See https://github.com/NixOS/nixpkgs/pull/37044#issuecomment-373452253
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broken = stdenv.isDarwin && !isPy3k;
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};
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}
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