pyrox.dev
1{ stdenv
2, lib
3, fetchurl
4, buildPythonPackage
5, isPy3k, isPy36, pythonOlder
6, astor
7, gast
8, numpy
9, six
10, termcolor
11, protobuf
12, absl-py
13, grpcio
14, mock
15, backports_weakref
16, enum34
17, tensorflow-tensorboard
18, cudaSupport ? false
19, cudatoolkit ? null
20, cudnn ? null
21, nvidia_x11 ? null
22, zlib
23, python
24, symlinkJoin
25}:
26
27# We keep this binary build for two reasons:
28# - the source build doesn't work on Darwin.
29# - the source build is currently brittle and not easy to maintain
30
31assert cudaSupport -> cudatoolkit != null
32 && cudnn != null
33 && nvidia_x11 != null;
34let
35 cudatoolkit_joined = symlinkJoin {
36 name = "unsplit_cudatoolkit";
37 paths = [ cudatoolkit.out
38 cudatoolkit.lib ];};
39
40in buildPythonPackage rec {
41 pname = "tensorflow";
42 version = "1.9.0";
43 format = "wheel";
44
45 src = let
46 pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) "${python.majorVersion}";
47 pyver = if stdenv.isDarwin then builtins.substring 0 1 pyVerNoDot else pyVerNoDot;
48 platform = if stdenv.isDarwin then "mac" else "linux";
49 unit = if cudaSupport then "gpu" else "cpu";
50 key = "${platform}_py_${pyver}_${unit}";
51 dls = import ./tf1.9.0-hashes.nix;
52 in fetchurl dls.${key};
53
54 propagatedBuildInputs = [ protobuf numpy termcolor grpcio six astor absl-py gast tensorflow-tensorboard ]
55 ++ lib.optional (!isPy3k) mock
56 ++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ];
57
58 # Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
59 # and the propageted input tensorflow-tensorboard which causes environment collisions.
60 # another possibility would be to have tensorboard only in the buildInputs
61 # https://github.com/tensorflow/tensorflow/blob/v1.7.1/tensorflow/tools/pip_package/setup.py#L79
62 postInstall = ''
63 rm $out/bin/tensorboard
64 '';
65
66 installFlags = "--no-dependencies"; # tensorflow wants setuptools 39, can't allow that.
67 # Note that we need to run *after* the fixup phase because the
68 # libraries are loaded at runtime. If we run in preFixup then
69 # patchelf --shrink-rpath will remove the cuda libraries.
70 postFixup = let
71 rpath = stdenv.lib.makeLibraryPath
72 ([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit_joined cudnn nvidia_x11 ]);
73 in
74 lib.optionalString (stdenv.isLinux) ''
75 rrPath="$out/${python.sitePackages}/tensorflow/:${rpath}"
76 internalLibPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
77 find $out -name '*${stdenv.hostPlatform.extensions.sharedLibrary}' -exec patchelf --set-rpath "$rrPath" {} \;
78 '';
79
80
81 meta = with stdenv.lib; {
82 description = "Computation using data flow graphs for scalable machine learning";
83 homepage = http://tensorflow.org;
84 license = licenses.asl20;
85 maintainers = with maintainers; [ jyp abbradar ];
86 platforms = with platforms; linux ++ lib.optionals (!cudaSupport) darwin;
87 # Python 2.7 build uses different string encoding.
88 # See https://github.com/NixOS/nixpkgs/pull/37044#issuecomment-373452253
89 broken = stdenv.isDarwin && !isPy3k;
90 };
91}