mirror of
https://github.com/NixOS/nixpkgs.git
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python.pkgs.tensorflow: 1.3 -> 1.5
This commit is contained in:
Nikolay Amiantov
parent
102c91d45e
commit
8aeea493a5
@ -1,8 +1,8 @@
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{ stdenv, lib, fetchFromGitHub, fetchpatch, symlinkJoin, buildPythonPackage, isPy3k, pythonOlder
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, bazel, which, swig, binutils, glibcLocales
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{ stdenv, buildBazelPackage, lib, fetchFromGitHub, fetchpatch, symlinkJoin
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, buildPythonPackage, isPy3k, pythonOlder, pythonAtLeast
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, which, swig, binutils, glibcLocales
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, python, jemalloc, openmpi
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, numpy, six, protobuf, tensorflow-tensorboard, backports_weakref
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, wheel, mock, scipy
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, numpy, six, protobuf, tensorflow-tensorboard, backports_weakref, mock, enum34, absl-py
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, xlaSupport ? true
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, cudaSupport ? false, nvidia_x11 ? null, cudatoolkit ? null, cudnn ? null
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# Default from ./configure script
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@ -12,7 +12,8 @@
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, fmaSupport ? false
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}:
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assert cudaSupport -> cudatoolkit != null
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assert cudaSupport -> nvidia_x11 != null
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&& cudatoolkit != null
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&& cudnn != null;
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# unsupported combination
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@ -27,40 +28,49 @@ let
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paths = [ cudatoolkit.out cudatoolkit.lib ];
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};
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cudaLibPath = lib.makeLibraryPath [ cudatoolkit.out cudatoolkit.lib nvidia_x11 cudnn ];
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tfFeature = x: if x then "1" else "0";
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common = rec {
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version = "1.3.1";
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version = "1.5.0";
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pkg = buildBazelPackage rec {
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name = "tensorflow-build-${version}";
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src = fetchFromGitHub {
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owner = "tensorflow";
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repo = "tensorflow";
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rev = "v${version}";
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sha256 = "0gvi32dvv4ynr05p0gg5i0a6c55pig48k5qm7zslcqnp4sifwx0i";
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sha256 = "1c4djsaip901nasm7a6dsimr02bsv70a7b1g0kysb4n39qpdh22q";
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};
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nativeBuildInputs = [ swig which wheel scipy ];
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patches = [
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# Fix build with Bazel >= 0.10
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(fetchpatch {
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url = "https://github.com/tensorflow/tensorflow/commit/6fcfab770c2672e2250e0f5686b9545d99eb7b2b.patch";
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sha256 = "0p61za1mx3a7gj1s5lsps16fcw18iwnvq2b46v1kyqfgq77a12vb";
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})
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(fetchpatch {
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url = "https://github.com/tensorflow/tensorflow/commit/3f57956725b553d196974c9ad31badeb3eabf8bb.patch";
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sha256 = "11dja5gqy0qw27sc9b6yw9r0lfk8dznb32vrqqfcnypk2qmv26va";
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})
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];
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buildInputs = [ python jemalloc openmpi glibcLocales ]
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++ lib.optionals cudaSupport [ cudatoolkit cudnn ];
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nativeBuildInputs = [ swig which ];
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propagatedBuildInputs = [ numpy six protobuf ]
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++ lib.optional (!isPy3k) mock
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++ lib.optional (pythonOlder "3.4") backports_weakref
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++ lib.optional withTensorboard tensorflow-tensorboard;
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buildInputs = [ python jemalloc openmpi glibcLocales numpy ]
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++ lib.optionals cudaSupport [ cudatoolkit cudnn nvidia_x11 ];
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preConfigure = ''
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patchShebangs configure
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export HOME="$NIX_BUILD_TOP"
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export PYTHON_BIN_PATH="${python.interpreter}"
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export PYTHON_LIB_PATH="$NIX_BUILD_TOP/site-packages"
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export TF_NEED_GCP=1
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export TF_NEED_HDFS=1
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export TF_NEED_CUDA=${tfFeature cudaSupport}
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export TF_NEED_MPI=1
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export TF_ENABLE_XLA=${tfFeature xlaSupport}
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export CC_OPT_FLAGS=" "
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# https://github.com/tensorflow/tensorflow/issues/14454
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export TF_NEED_MPI=${tfFeature cudaSupport}
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export TF_NEED_CUDA=${tfFeature cudaSupport}
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${lib.optionalString cudaSupport ''
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export CUDA_TOOLKIT_PATH=${cudatoolkit_joined}
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export TF_CUDA_VERSION=${cudatoolkit.majorVersion}
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@ -70,13 +80,11 @@ let
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export TF_CUDA_COMPUTE_CAPABILITIES=${lib.concatStringsSep "," cudaCapabilities}
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''}
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# There is _no_ non-interactive mode of configure.
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sed -i \
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-e 's,read -p,echo,g' \
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-e 's,lib64,lib,g' \
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configure
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mkdir -p "$PYTHON_LIB_PATH"
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'';
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NIX_LDFLAGS = lib.optionals cudaSupport [ "-lcublas" "-lcudnn" "-lcuda" "-lcudart" ];
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hardeningDisable = [ "all" ];
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bazelFlags = [ "--config=opt" ]
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@ -87,101 +95,59 @@ let
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bazelTarget = "//tensorflow/tools/pip_package:build_pip_package";
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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; if cudaSupport then linux else linux ++ darwin;
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fetchAttrs = {
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preInstall = ''
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rm -rf $bazelOut/external/{bazel_tools,\@bazel_tools.marker,local_*,\@local_*}
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'';
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sha256 = "1nc98aqrp14q7llypcwaa0kdn9xi7r0p1mnd3vmmn1m299py33ca";
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};
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};
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in buildPythonPackage (common // {
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pname = "tensorflow";
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version = common.version;
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name = "tensorflow-${common.version}";
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buildAttrs = {
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preBuild = ''
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patchShebangs .
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find -type f -name CROSSTOOL\* -exec sed -i \
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-e 's,/usr/bin/ar,${binutils.bintools}/bin/ar,g' \
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{} \;
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'';
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deps = stdenv.mkDerivation (common // {
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name = "tensorflow-external-${common.version}";
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nativeBuildInputs = common.nativeBuildInputs ++ [ bazel ];
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preConfigure = common.preConfigure + ''
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export PYTHON_LIB_PATH="$(pwd)/site-packages"
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'';
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buildPhase = ''
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mkdir site-packages
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bazel --output_base="$(pwd)/output" fetch $bazelFlags $bazelTarget
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'';
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installPhase = ''
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rm -rf output/external/{bazel_tools,\@bazel_tools.marker,local_*,\@local_*}
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# Patching markers to make them deterministic
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for i in output/external/\@*.marker; do
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sed -i 's, -\?[0-9][0-9]*$, 1,' "$i"
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done
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# Patching symlinks to remove build directory reference
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find output/external -type l | while read symlink; do
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ln -sf $(readlink "$symlink" | sed "s,$NIX_BUILD_TOP,NIX_BUILD_TOP,") "$symlink"
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done
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cp -r output/external $out
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'';
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installPhase = ''
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sed -i 's,.*bdist_wheel.*,cp -rL . "$out"; exit 0,' bazel-bin/tensorflow/tools/pip_package/build_pip_package
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bazel-bin/tensorflow/tools/pip_package/build_pip_package $PWD/dist
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'';
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};
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dontFixup = true;
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};
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outputHashMode = "recursive";
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outputHashAlgo = "sha256";
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outputHash = "0xs2n061gnpizfcnhs5jjpfk2av634j1l2l17zhy10bbmrwn3vrp";
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});
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in buildPythonPackage rec {
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pname = "tensorflow";
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inherit version;
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name = "${pname}-${version}";
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nativeBuildInputs = common.nativeBuildInputs ++ [ (bazel.override { enableNixHacks = true; }) ];
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src = pkg;
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configurePhase = ''
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runHook preConfigure
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export PYTHON_LIB_PATH="$out/${python.sitePackages}"
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./configure
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runHook postConfigure
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'';
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buildPhase = ''
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mkdir -p output/external
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cp -r $deps/* output/external
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chmod -R +w output
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find output -type l | while read symlink; do
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ln -sf $(readlink "$symlink" | sed "s,NIX_BUILD_TOP,$NIX_BUILD_TOP,") "$symlink"
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done
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patchShebangs .
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find -type f -name CROSSTOOL\* -exec sed -i \
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-e 's,/usr/bin/ar,${binutils}/bin/ar,g' \
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{} \;
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mkdir -p $out/${python.sitePackages}
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bazel --output_base="$(pwd)/output" build $bazelFlags $bazelTarget
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bazel-bin/tensorflow/tools/pip_package/build_pip_package $PWD/dist
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'';
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# tensorflow depends on tensorflow_tensorboard, which cannot be
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# built at the moment (some of its dependencies do not build
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# [htlm5lib9999999 (seven nines) -> tensorboard], and it depends on an old version of
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# bleach) Hence we disable dependency checking for now.
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installFlags = lib.optional (!withTensorboard) "--no-dependencies";
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# Tests are slow and impure.
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doCheck = false;
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# For some reason, CUDA is not retained in RPATH.
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postFixup = lib.optionalString cudaSupport ''
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libPath="$out/${python.sitePackages}/tensorflow/python/_pywrap_tensorflow_internal.so"
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patchelf --set-rpath "$(patchelf --print-rpath "$libPath"):${cudaLibPath}" "$libPath"
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postPatch = lib.optionalString (pythonAtLeast "3.4") ''
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sed -i '/enum34/d' setup.py
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'';
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doInstallCheck = true;
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installCheckPhase = ''
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cd $NIX_BUILD_TOP
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propagatedBuildInputs = [ numpy six protobuf absl-py ]
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++ lib.optional (!isPy3k) mock
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++ lib.optionals (pythonOlder "3.4") [ backports_weakref enum34 ]
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++ lib.optional withTensorboard tensorflow-tensorboard;
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# Actual tests are slow and impure.
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checkPhase = ''
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${python.interpreter} -c "import tensorflow"
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'';
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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; if cudaSupport then linux else linux ++ darwin;
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};
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}
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@ -21272,11 +21272,10 @@ EOF
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tensorflow-tensorboard = callPackage ../development/python-modules/tensorflow-tensorboard { };
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tensorflow = callPackage ../development/python-modules/tensorflow rec {
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bazel = pkgs.bazel_0_4;
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cudaSupport = pkgs.config.cudaSupport or false;
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inherit (pkgs.linuxPackages) nvidia_x11;
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cudatoolkit = pkgs.cudatoolkit8;
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cudnn = pkgs.cudnn6_cudatoolkit8;
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cudatoolkit = pkgs.cudatoolkit9;
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cudnn = pkgs.cudnn_cudatoolkit9;
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};
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tensorflowWithoutCuda = self.tensorflow.override {
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