5542995561
This package was broken on mac with some wildcarding issues. Some more constraints in the tensorflow wheel needed to be relaxed.
196 lines
5.7 KiB
Nix
196 lines
5.7 KiB
Nix
{ stdenv
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, lib
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, fetchurl
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, buildPythonPackage
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, isPy3k, pythonOlder, pythonAtLeast, isPy38
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, astor
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, gast
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, google-pasta
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, wrapt
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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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, grpcio
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, mock
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, scipy
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, wheel
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, opt-einsum
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, backports_weakref
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, tensorflow-estimator_2
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, tensorflow-tensorboard_2
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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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, keras-applications
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, keras-preprocessing
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, addOpenGLRunpath
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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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# unsupported combination
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assert ! (stdenv.isDarwin && cudaSupport);
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let
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packages = import ./binary-hashes.nix;
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variant = if cudaSupport then "-gpu" else "";
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pname = "tensorflow${variant}";
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in buildPythonPackage {
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inherit pname;
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inherit (packages) version;
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format = "wheel";
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disabled = pythonAtLeast "3.8";
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src = let
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pyVerNoDot = lib.strings.stringAsChars (x: if x == "." then "" else x) python.pythonVersion;
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platform = if stdenv.isDarwin then "mac" else "linux";
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unit = if cudaSupport then "gpu" else "cpu";
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key = "${platform}_py_${pyVerNoDot}_${unit}";
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in fetchurl packages.${key};
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propagatedBuildInputs = [
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protobuf
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numpy
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scipy
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termcolor
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grpcio
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six
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astor
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absl-py
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gast
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opt-einsum
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google-pasta
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wrapt
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tensorflow-estimator_2
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tensorflow-tensorboard_2
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keras-applications
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keras-preprocessing
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] ++ lib.optional (!isPy3k) mock
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++ lib.optionals (pythonOlder "3.4") [ backports_weakref ];
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nativeBuildInputs = [ wheel ] ++ lib.optional cudaSupport addOpenGLRunpath;
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preConfigure = ''
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unset SOURCE_DATE_EPOCH
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# Make sure that dist and the wheel file are writable.
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chmod u+rwx -R ./dist
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pushd dist
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# Unpack the wheel file.
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wheel unpack --dest unpacked ./*.whl
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# Tensorflow wheels tightly constrain the versions of gast, tensorflow-estimator and scipy.
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# This code relaxes these requirements:
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substituteInPlace ./unpacked/tensorflow*/tensorflow_core/tools/pip_package/setup.py \
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--replace "tensorflow_estimator >= 2.1.0rc0, < 2.2.0" "tensorflow_estimator" \
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--replace "tensorboard >= 2.1.0, < 2.2.0" "tensorboard" \
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--replace "gast == 0.2.2" "gast" \
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--replace "scipy == 1.2.2" "scipy"
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substituteInPlace ./unpacked/tensorflow*/tensorflow*.dist-info/METADATA \
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--replace "gast (==0.2.2)" "gast" \
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--replace "tensorflow-estimator (<2.2.0,>=2.1.0rc0)" "tensorflow_estimator" \
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--replace "tensorboard (<2.2.0,>=2.1.0)" "tensorboard" \
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--replace "scipy (==1.4.1)" "scipy"
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# Pack the wheel file back up.
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wheel pack ./unpacked/tensorflow*
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popd
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'';
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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 =
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let
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# rpaths we only need to add if CUDA is enabled.
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cudapaths = lib.optionals cudaSupport [
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cudatoolkit.out
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cudatoolkit.lib
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cudnn
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nvidia_x11
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];
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libpaths = [
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stdenv.cc.cc.lib
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zlib
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];
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rpath = lib.makeLibraryPath (libpaths ++ cudapaths);
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in
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lib.optionalString stdenv.isLinux ''
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# This is an array containing all the directories in the tensorflow2
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# package that contain .so files.
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#
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# TODO: Create this list programmatically, and remove paths that aren't
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# actually needed.
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rrPathArr=(
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"$out/${python.sitePackages}/tensorflow_core/"
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"$out/${python.sitePackages}/tensorflow_core/compiler/tf2tensorrt/"
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"$out/${python.sitePackages}/tensorflow_core/compiler/tf2xla/ops/"
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"$out/${python.sitePackages}/tensorflow_core/lite/experimental/microfrontend/python/ops/"
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"$out/${python.sitePackages}/tensorflow_core/lite/python/interpreter_wrapper/"
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"$out/${python.sitePackages}/tensorflow_core/lite/python/optimize/"
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"$out/${python.sitePackages}/tensorflow_core/python/"
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"$out/${python.sitePackages}/tensorflow_core/python/framework/"
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"${rpath}"
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)
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# The the bash array into a colon-separated list of RPATHs.
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rrPath=$(IFS=$':'; echo "''${rrPathArr[*]}")
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echo "about to run patchelf with the following rpath: $rrPath"
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find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
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echo "about to patchelf $lib..."
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chmod a+rx "$lib"
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patchelf --set-rpath "$rrPath" "$lib"
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${lib.optionalString cudaSupport ''
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addOpenGLRunpath "$lib"
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''}
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done
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'';
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# Upstream has a pip hack that results in bin/tensorboard being in both tensorflow
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# and the propagated input tensorflow-tensorboard, which causes environment collisions.
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# Another possibility would be to have tensorboard only in the buildInputs
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# See https://github.com/NixOS/nixpkgs/pull/44381 for more information.
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postInstall = ''
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rm $out/bin/tensorboard
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'';
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pythonImportsCheck = [
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"tensorflow"
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"tensorflow.keras"
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"tensorflow.python"
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"tensorflow.python.framework"
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];
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meta = with 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 cdepillabout ];
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platforms = [ "x86_64-linux" "x86_64-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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