1 files changed, 0 insertions, 120 deletions
diff --git a/nixpkgs/pkgs/development/python-modules/tensorflow/1/bin.nix b/nixpkgs/pkgs/development/python-modules/tensorflow/1/bin.nix
deleted file mode 100644
index 5c93e957f7c1..000000000000
--- a/nixpkgs/pkgs/development/python-modules/tensorflow/1/bin.nix
+++ /dev/null
@@ -1,120 +0,0 @@
-{ stdenv
-, lib
-, fetchurl
-, buildPythonPackage
-, isPy3k, pythonOlder, pythonAtLeast
-, astor
-, gast
-, google-pasta
-, wrapt
-, numpy
-, six
-, termcolor
-, protobuf
-, absl-py
-, grpcio
-, mock
-, backports_weakref
-, tensorflow-estimator_1
-, 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${variant}";
-
-in buildPythonPackage {
-  inherit pname;
-  inherit (packages) version;
-  format = "wheel";
-  disabled = pythonAtLeast "3.8";
-
-  src = let
-    pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) python.pythonVersion;
-    pyver = if stdenv.isDarwin then builtins.substring 0 1 pyVerNoDot else pyVerNoDot;
-    platform = if stdenv.isDarwin then "mac" else "linux";
-    unit = if cudaSupport then "gpu" else "cpu";
-    key = "${platform}_py_${pyver}_${unit}";
-  in fetchurl packages.${key};
-
-  propagatedBuildInputs = [
-    protobuf
-    numpy
-    termcolor
-    grpcio
-    six
-    astor
-    absl-py
-    gast
-    google-pasta
-    wrapt
-    tensorflow-estimator_1
-    tensorflow-tensorboard
-    keras-applications
-    keras-preprocessing
-  ] ++ lib.optional (!isPy3k) mock
-    ++ lib.optionals (pythonOlder "3.4") [ backports_weakref ];
-
-  nativeBuildInputs = lib.optional cudaSupport addOpenGLRunpath;
-
-  # Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
-  # and the propageted input tensorflow-tensorboard which causes environment collisions.
-  # another possibility would be to have tensorboard only in the buildInputs
-  # https://github.com/tensorflow/tensorflow/blob/v1.7.1/tensorflow/tools/pip_package/setup.py#L79
-  postInstall = ''
-    rm $out/bin/tensorboard
-  '';
-
-  # Note that we need to run *after* the fixup phase because the
-  # libraries are loaded at runtime. If we run in preFixup then
-  # patchelf --shrink-rpath will remove the cuda libraries.
-  postFixup = let
-    rpath = stdenv.lib.makeLibraryPath
-      ([ stdenv.cc.cc.lib zlib ] ++ lib.optionals cudaSupport [ cudatoolkit.out cudatoolkit.lib cudnn nvidia_x11 ]);
-  in
-  lib.optionalString stdenv.isLinux ''
-    rrPath="$out/${python.sitePackages}/tensorflow/:$out/${python.sitePackages}/tensorflow/contrib/tensor_forest/:${rpath}"
-    internalLibPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
-    find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
-      patchelf --set-rpath "$rrPath" "$lib"
-      ${lib.optionalString cudaSupport ''
-        addOpenGLRunpath "$lib"
-      ''}
-    done
-  '';
-
-
-  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 = [ "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;
-  };
-}