Date: Tuesday, March 6, 2018 @ 22:08:43
  Author: svenstaro
Revision: 303332

archrelease: copy trunk to community-x86_64

Added:
  tensorflow/repos/community-x86_64/PKGBUILD
    (from rev 303331, tensorflow/trunk/PKGBUILD)
Deleted:
  tensorflow/repos/community-x86_64/15229.patch
  tensorflow/repos/community-x86_64/PKGBUILD

-------------+
 15229.patch |   37 ----
 PKGBUILD    |  456 ++++++++++++++++++++++++++++------------------------------
 2 files changed, 227 insertions(+), 266 deletions(-)

Deleted: 15229.patch
===================================================================
--- 15229.patch 2018-03-06 22:08:33 UTC (rev 303331)
+++ 15229.patch 2018-03-06 22:08:43 UTC (rev 303332)
@@ -1,37 +0,0 @@
-From d4c33cfc944cbcac7a31811ba8f86448d8cc2e23 Mon Sep 17 00:00:00 2001
-From: Anush Elangovan <an...@nod-labs.com>
-Date: Fri, 8 Dec 2017 20:48:23 -0800
-Subject: [PATCH] [XLA] Fix XLA/tfcompile compile error on OSX
-
-This fixes issue #15196
-
-kernel_support_library.cc:99:5: error: no matching function
-for call to 'transform' std::transform(function->arg_begin(),..
-
-TEST=build tfcompile on OSX (also requires PR#14893)
----
- .../compiler/xla/service/llvm_ir/kernel_support_library.cc    | 11 +++++++++--
- 1 file changed, 9 insertions(+), 2 deletions(-)
-
-diff --git a/tensorflow/compiler/xla/service/llvm_ir/kernel_support_library.cc 
b/tensorflow/compiler/xla/service/llvm_ir/kernel_support_library.cc
-index 5f6f9810c3a..23d2d4e87d2 100644
---- a/tensorflow/compiler/xla/service/llvm_ir/kernel_support_library.cc
-+++ b/tensorflow/compiler/xla/service/llvm_ir/kernel_support_library.cc
-@@ -111,8 +111,15 @@ void KernelSupportLibrary::EmitAndCallOutlinedKernel(
-     ir_builder->SetInsertPoint(return_inst);
- 
-     std::vector<llvm::Value*> arg_values;
--    std::transform(function->arg_begin(), function->arg_end(),
--                   std::back_inserter(arg_values), 
std::addressof<llvm::Value>);
-+    /*
-+     * clang on OSX doesn't like std::transform or range for loop here.
-+     * See https://github.com/tensorflow/tensorflow/issues/15196
-+     */
-+    for (llvm::Function::arg_iterator arg = function->arg_begin(),
-+                                      arg_e = function->arg_end();
-+         arg != arg_e; ++arg) {
-+      arg_values.push_back(arg);
-+    }
-     if (null_arg_idx != -1) {
-       arg_values.insert(arg_values.begin() + null_arg_idx, nullptr);
-     }

Deleted: PKGBUILD
===================================================================
--- PKGBUILD    2018-03-06 22:08:33 UTC (rev 303331)
+++ PKGBUILD    2018-03-06 22:08:43 UTC (rev 303332)
@@ -1,229 +0,0 @@
-# Maintainer: Sven-Hendrik Haase <s...@lutzhaase.com>
-# Contributor: Adria Arrufat (archdria) <adria.arrufat+...@protonmail.ch>
-# Contributor: Thibault Lorrain (fredszaq) <freds...@gmail.com>
-
-pkgbase=tensorflow
-pkgname=(tensorflow tensorflow-opt tensorflow-cuda tensorflow-opt-cuda 
python-tensorflow python-tensorflow-opt python-tensorflow-cuda 
python-tensorflow-opt-cuda)
-pkgver=1.5.0
-_pkgver=1.5.0
-pkgrel=2
-pkgdesc="Library for computation using data flow graphs for scalable machine 
learning"
-url="https://www.tensorflow.org/";
-license=('APACHE')
-arch=('x86_64')
-makedepends=('bazel' 'python-numpy' 'gcc6' 'cuda' 'nvidia-utils'
-             'cudnn' 'python-pip' 'python-wheel' 'python-setuptools')
-optdepends=('tensorboard: Tensorflow visualization toolkit')
-source=("https://github.com/tensorflow/tensorflow/archive/v${_pkgver}.tar.gz";
-        15229.patch)
-sha512sums=('63240d72b9946db29279800b1081adc4cc08b6cd7dc35155a529cc335bfc1dd16fb525fb6047f6cc0dcec547a54e7e100698a176ee93f5633965cfab2a8ad9eb'
-            
'3fa052354c1b351430c2a36fa152b50802d8b46a5b22fbf427ba2589932e1ad83ee51f4e1ab1d641b1755ded46b5201f5e0d26b382e2aca72baa63567356a85f')
-
-prepare() {
-  # Trick tensorflow into not building Android. The env var
-  # TF_SET_ANDROID_WORKSPACE does not work for some reason.
-  sed -i "s/if workspace_has_any_android_rule()/if True/g" 
tensorflow-${_pkgver}/configure.py
-
-  patch -Np1 -d tensorflow-${_pkgver} -i ${srcdir}/15229.patch
-
-  cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt
-  cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-cuda
-  cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt-cuda
-  # These environment variables influence the behavior of the configure call 
below.
-  export PYTHON_BIN_PATH=/usr/bin/python
-  export USE_DEFAULT_PYTHON_LIB_PATH=1
-  export TF_NEED_JEMALLOC=1
-  export TF_NEED_OPENCL_SYCL=0
-  export TF_NEED_GCP=0
-  export TF_NEED_HDFS=0
-  export TF_NEED_S3=0
-  export TF_ENABLE_XLA=1
-  export TF_NEED_GDR=0
-  export TF_NEED_VERBS=0
-  export TF_NEED_OPENCL=0
-  export TF_NEED_MPI=0
-  # This should work, but doesn't:
-  # export TF_SET_ANDROID_WORKSPACE=0
-}
-
-build() {
-  # _bazel_09_fix="--incompatible_load_argument_is_label=false"
-  cd ${srcdir}/tensorflow-${_pkgver}
-  export CC_OPT_FLAGS="-march=x86-64"
-  export TF_NEED_CUDA=0
-  ./configure
-  bazel build --config=opt //tensorflow:libtensorflow.so 
//tensorflow/tools/pip_package:build_pip_package # ${_bazel_09_fix}
-  bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmp
-
-  cd ${srcdir}/tensorflow-${_pkgver}-cuda
-  export CC_OPT_FLAGS="-march=x86-64"
-  export TF_NEED_CUDA=1
-  # For next version instead of the gcc-6 stuff:
-  export GCC_HOST_COMPILER_PATH=/usr/bin/gcc-6
-  export TF_CUDA_CLANG=0
-  # export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
-  export CUDA_TOOLKIT_PATH=/opt/cuda
-  export TF_CUDA_VERSION=$($CUDA_TOOLKIT_PATH/bin/nvcc --version | sed -n 
's/^.*release \(.*\),.*/\1/p')
-  export CUDNN_INSTALL_PATH=/opt/cuda
-  export TF_CUDNN_VERSION=$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' 
$CUDNN_INSTALL_PATH/include/cudnn.h)
-  export TF_CUDA_COMPUTE_CAPABILITIES=3.0,3.5,5.2,6.1,6.2
-  ./configure
-  bazel build --cxxopt="-I/opt/cuda/include/crt" --config=opt --config=cuda 
//tensorflow:libtensorflow.so //tensorflow/tools/pip_package:build_pip_package 
${_bazel_09_fix}
-  bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmpcuda
-
-  cd ${srcdir}/tensorflow-${_pkgver}-opt
-  export CC_OPT_FLAGS="-march=haswell"
-  export TF_NEED_CUDA=0
-  ./configure
-  bazel build --config=opt //tensorflow:libtensorflow.so 
//tensorflow/tools/pip_package:build_pip_package ${_bazel_09_fix}
-  bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmpopt
-
-  cd ${srcdir}/tensorflow-${_pkgver}-opt-cuda
-  export CC_OPT_FLAGS="-march=haswell"
-  export TF_NEED_CUDA=1
-  # For next version instead of the gcc-6 stuff:
-  export GCC_HOST_COMPILER_PATH=/usr/bin/gcc-6
-  export TF_CUDA_CLANG=0
-  # export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
-  export CUDA_TOOLKIT_PATH=/opt/cuda
-  export TF_CUDA_VERSION=$($CUDA_TOOLKIT_PATH/bin/nvcc --version | sed -n 
's/^.*release \(.*\),.*/\1/p')
-  export CUDNN_INSTALL_PATH=/opt/cuda
-  export TF_CUDNN_VERSION=$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' 
$CUDNN_INSTALL_PATH/include/cudnn.h)
-  export TF_CUDA_COMPUTE_CAPABILITIES=3.0,3.5,5.2,6.1,6.2
-  ./configure
-  bazel build --cxxopt="-I/opt/cuda/include/crt" --config=opt --config=cuda 
//tensorflow:libtensorflow.so //tensorflow/tools/pip_package:build_pip_package 
${_bazel_09_fix}
-  bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmpcudaopt
-}
-
-package_tensorflow() {
-  cd ${srcdir}/tensorflow-${_pkgver}
-
-  tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
-  install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc
-  install -Dm755 bazel-bin/tensorflow/libtensorflow.so 
${pkgdir}/usr/lib/libtensorflow.so
-  install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so 
${pkgdir}/usr/lib/libtensorflow_framework.so
-  install -Dm644 tensorflow/c/c_api.h 
${pkgdir}/usr/include/tensorflow/c/c_api.h
-  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
-}
-
-package_tensorflow-opt() {
-  conflicts=(tensorflow)
-  provides=(tensorflow)
-  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CPU optimizations)"
-
-  cd ${srcdir}/tensorflow-${_pkgver}-opt
-
-  tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
-  install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc
-  install -Dm755 bazel-bin/tensorflow/libtensorflow.so 
${pkgdir}/usr/lib/libtensorflow.so
-  install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so 
${pkgdir}/usr/lib/libtensorflow_framework.so
-  install -Dm644 tensorflow/c/c_api.h 
${pkgdir}/usr/include/tensorflow/c/c_api.h
-  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
-}
-
-package_tensorflow-cuda() {
-  depends=(cuda cudnn)
-  conflicts=(tensorflow)
-  provides=(tensorflow)
-  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CUDA)"
-
-  cd ${srcdir}/tensorflow-${_pkgver}-cuda
-
-  tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
-  install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc
-  install -Dm755 bazel-bin/tensorflow/libtensorflow.so 
${pkgdir}/usr/lib/libtensorflow.so
-  install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so 
${pkgdir}/usr/lib/libtensorflow_framework.so
-  install -Dm644 tensorflow/c/c_api.h 
${pkgdir}/usr/include/tensorflow/c/c_api.h
-  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
-}
-
-package_tensorflow-opt-cuda() {
-  depends=(cuda cudnn)
-  conflicts=(tensorflow)
-  provides=(tensorflow)
-  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CUDA and CPU optimizations)"
-
-  cd ${srcdir}/tensorflow-${_pkgver}-opt-cuda
-
-  tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
-  install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc
-  install -Dm755 bazel-bin/tensorflow/libtensorflow.so 
${pkgdir}/usr/lib/libtensorflow.so
-  install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so 
${pkgdir}/usr/lib/libtensorflow_framework.so
-  install -Dm644 tensorflow/c/c_api.h 
${pkgdir}/usr/include/tensorflow/c/c_api.h
-  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
-}
-
-package_python-tensorflow() {
-  depends=(python python-protobuf absl-py)
-
-  cd ${srcdir}/tensorflow-${_pkgver}
-
-  WHEEL_PACKAGE=$(find ${srcdir}/tmp -name "tensor*.whl")
-  pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE 
--no-dependencies
-
-  # tensorboard has been separated from upstream but they still install it with
-  # tensorflow. I don't know what kind of sense that makes but we have to clean
-  # it out from this pacakge.
-  rm -rf ${pkgdir}/usr/bin/tensorboard
-
-  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
-}
-
-package_python-tensorflow-opt() {
-  depends=(python python-protobuf absl-py)
-  conflicts=(python-tensorflow)
-  provides=(python-tensorflow)
-  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CPU optimizations)"
-
-  cd ${srcdir}/tensorflow-${_pkgver}-opt
-
-  WHEEL_PACKAGE=$(find ${srcdir}/tmpopt -name "tensor*.whl")
-  pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE 
--no-dependencies
-
-  # tensorboard has been separated from upstream but they still install it with
-  # tensorflow. I don't know what kind of sense that makes but we have to clean
-  # it out from this pacakge.
-  rm -rf ${pkgdir}/usr/bin/tensorboard
-
-  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
-}
-
-package_python-tensorflow-cuda() {
-  depends=(python cuda cudnn python-pycuda python-protobuf absl-py)
-  conflicts=(python-tensorflow)
-  provides=(python-tensorflow)
-  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CUDA)"
-
-  cd ${srcdir}/tensorflow-${_pkgver}-cuda
-
-  WHEEL_PACKAGE=$(find ${srcdir}/tmpcuda -name "tensor*.whl")
-  pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE 
--no-dependencies
-
-  # tensorboard has been separated from upstream but they still install it with
-  # tensorflow. I don't know what kind of sense that makes but we have to clean
-  # it out from this pacakge.
-  rm -rf ${pkgdir}/usr/bin/tensorboard
-
-  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
-}
-
-package_python-tensorflow-opt-cuda() {
-  depends=(python cuda cudnn python-pycuda python-protobuf absl-py)
-  conflicts=(python-tensorflow)
-  provides=(python-tensorflow)
-  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CUDA and CPU optimizations)"
-
-  cd ${srcdir}/tensorflow-${_pkgver}-cuda
-
-  WHEEL_PACKAGE=$(find ${srcdir}/tmpcudaopt -name "tensor*.whl")
-  pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE 
--no-dependencies
-
-  # tensorboard has been separated from upstream but they still install it with
-  # tensorflow. I don't know what kind of sense that makes but we have to clean
-  # it out from this pacakge.
-  rm -rf ${pkgdir}/usr/bin/tensorboard
-
-  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
-}
-
-# vim:set ts=2 sw=2 et:

Copied: tensorflow/repos/community-x86_64/PKGBUILD (from rev 303331, 
tensorflow/trunk/PKGBUILD)
===================================================================
--- PKGBUILD                            (rev 0)
+++ PKGBUILD    2018-03-06 22:08:43 UTC (rev 303332)
@@ -0,0 +1,227 @@
+# Maintainer: Sven-Hendrik Haase <s...@lutzhaase.com>
+# Contributor: Adria Arrufat (archdria) <adria.arrufat+...@protonmail.ch>
+# Contributor: Thibault Lorrain (fredszaq) <freds...@gmail.com>
+
+pkgbase=tensorflow
+pkgname=(tensorflow tensorflow-opt tensorflow-cuda tensorflow-opt-cuda 
python-tensorflow python-tensorflow-opt python-tensorflow-cuda 
python-tensorflow-opt-cuda)
+pkgver=1.6.0
+_pkgver=1.6.0
+pkgrel=1
+pkgdesc="Library for computation using data flow graphs for scalable machine 
learning"
+url="https://www.tensorflow.org/";
+license=('APACHE')
+arch=('x86_64')
+makedepends=('bazel' 'python-numpy' 'gcc6' 'cuda' 'nvidia-utils'
+             'cudnn' 'python-pip' 'python-wheel' 'python-setuptools')
+optdepends=('tensorboard: Tensorflow visualization toolkit')
+source=("https://github.com/tensorflow/tensorflow/archive/v${_pkgver}.tar.gz";)
+sha512sums=('a3e5f07c8f622e952f522baf78d943cf484d8b9a2e77857e2ddb33289ca9e60cb80835dce1e9366b9eedda6beb9dc0043a8e26e02b738bc71bcbf24ae3030c7e')
+
+prepare() {
+  # Trick tensorflow into not building Android. The env var
+  # TF_SET_ANDROID_WORKSPACE does not work for some reason.
+  sed -i "s/if workspace_has_any_android_rule()/if True/g" 
tensorflow-${_pkgver}/configure.py
+
+  cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt
+  cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-cuda
+  cp -r tensorflow-${_pkgver} tensorflow-${_pkgver}-opt-cuda
+  # These environment variables influence the behavior of the configure call 
below.
+  export PYTHON_BIN_PATH=/usr/bin/python
+  export USE_DEFAULT_PYTHON_LIB_PATH=1
+  export TF_NEED_JEMALLOC=1
+  export TF_NEED_KAFKA=0
+  export TF_NEED_OPENCL_SYCL=0
+  export TF_NEED_GCP=0
+  export TF_NEED_HDFS=0
+  export TF_NEED_S3=0
+  export TF_ENABLE_XLA=1
+  export TF_NEED_GDR=0
+  export TF_NEED_VERBS=0
+  export TF_NEED_OPENCL=0
+  export TF_NEED_MPI=0
+  export TF_NEED_TENSORRT=0
+  # This should work, but doesn't:
+  # export TF_SET_ANDROID_WORKSPACE=0
+}
+
+build() {
+  # _bazel_09_fix="--incompatible_load_argument_is_label=false"
+  cd ${srcdir}/tensorflow-${_pkgver}
+  export CC_OPT_FLAGS="-march=x86-64"
+  export TF_NEED_CUDA=0
+  ./configure
+  bazel build --config=opt //tensorflow:libtensorflow.so 
//tensorflow/tools/pip_package:build_pip_package # ${_bazel_09_fix}
+  bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmp
+
+  cd ${srcdir}/tensorflow-${_pkgver}-cuda
+  export CC_OPT_FLAGS="-march=x86-64"
+  export TF_NEED_CUDA=1
+  # For next version instead of the gcc-6 stuff:
+  export GCC_HOST_COMPILER_PATH=/usr/bin/gcc-6
+  export TF_CUDA_CLANG=0
+  # export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
+  export CUDA_TOOLKIT_PATH=/opt/cuda
+  export TF_CUDA_VERSION=$($CUDA_TOOLKIT_PATH/bin/nvcc --version | sed -n 
's/^.*release \(.*\),.*/\1/p')
+  export CUDNN_INSTALL_PATH=/opt/cuda
+  export TF_CUDNN_VERSION=$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' 
$CUDNN_INSTALL_PATH/include/cudnn.h)
+  export TF_CUDA_COMPUTE_CAPABILITIES=3.0,3.5,5.2,6.1,6.2
+  ./configure
+  bazel build --cxxopt="-I/opt/cuda/include/crt" --config=opt --config=cuda 
//tensorflow:libtensorflow.so //tensorflow/tools/pip_package:build_pip_package 
${_bazel_09_fix}
+  bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmpcuda
+
+  cd ${srcdir}/tensorflow-${_pkgver}-opt
+  export CC_OPT_FLAGS="-march=haswell"
+  export TF_NEED_CUDA=0
+  ./configure
+  bazel build --config=opt //tensorflow:libtensorflow.so 
//tensorflow/tools/pip_package:build_pip_package ${_bazel_09_fix}
+  bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmpopt
+
+  cd ${srcdir}/tensorflow-${_pkgver}-opt-cuda
+  export CC_OPT_FLAGS="-march=haswell"
+  export TF_NEED_CUDA=1
+  # For next version instead of the gcc-6 stuff:
+  export GCC_HOST_COMPILER_PATH=/usr/bin/gcc-6
+  export TF_CUDA_CLANG=0
+  # export CLANG_CUDA_COMPILER_PATH=/usr/bin/clang
+  export CUDA_TOOLKIT_PATH=/opt/cuda
+  export TF_CUDA_VERSION=$($CUDA_TOOLKIT_PATH/bin/nvcc --version | sed -n 
's/^.*release \(.*\),.*/\1/p')
+  export CUDNN_INSTALL_PATH=/opt/cuda
+  export TF_CUDNN_VERSION=$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' 
$CUDNN_INSTALL_PATH/include/cudnn.h)
+  export TF_CUDA_COMPUTE_CAPABILITIES=3.0,3.5,5.2,6.1,6.2
+  ./configure
+  bazel build --cxxopt="-I/opt/cuda/include/crt" --config=opt --config=cuda 
//tensorflow:libtensorflow.so //tensorflow/tools/pip_package:build_pip_package 
${_bazel_09_fix}
+  bazel-bin/tensorflow/tools/pip_package/build_pip_package ${srcdir}/tmpcudaopt
+}
+
+package_tensorflow() {
+  cd ${srcdir}/tensorflow-${_pkgver}
+
+  tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
+  install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc
+  install -Dm755 bazel-bin/tensorflow/libtensorflow.so 
${pkgdir}/usr/lib/libtensorflow.so
+  install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so 
${pkgdir}/usr/lib/libtensorflow_framework.so
+  install -Dm644 tensorflow/c/c_api.h 
${pkgdir}/usr/include/tensorflow/c/c_api.h
+  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
+}
+
+package_tensorflow-opt() {
+  conflicts=(tensorflow)
+  provides=(tensorflow)
+  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CPU optimizations)"
+
+  cd ${srcdir}/tensorflow-${_pkgver}-opt
+
+  tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
+  install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc
+  install -Dm755 bazel-bin/tensorflow/libtensorflow.so 
${pkgdir}/usr/lib/libtensorflow.so
+  install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so 
${pkgdir}/usr/lib/libtensorflow_framework.so
+  install -Dm644 tensorflow/c/c_api.h 
${pkgdir}/usr/include/tensorflow/c/c_api.h
+  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
+}
+
+package_tensorflow-cuda() {
+  depends=(cuda cudnn)
+  conflicts=(tensorflow)
+  provides=(tensorflow)
+  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CUDA)"
+
+  cd ${srcdir}/tensorflow-${_pkgver}-cuda
+
+  tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
+  install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc
+  install -Dm755 bazel-bin/tensorflow/libtensorflow.so 
${pkgdir}/usr/lib/libtensorflow.so
+  install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so 
${pkgdir}/usr/lib/libtensorflow_framework.so
+  install -Dm644 tensorflow/c/c_api.h 
${pkgdir}/usr/include/tensorflow/c/c_api.h
+  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
+}
+
+package_tensorflow-opt-cuda() {
+  depends=(cuda cudnn)
+  conflicts=(tensorflow)
+  provides=(tensorflow)
+  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CUDA and CPU optimizations)"
+
+  cd ${srcdir}/tensorflow-${_pkgver}-opt-cuda
+
+  tensorflow/c/generate-pc.sh --prefix=/usr --version=${pkgver}
+  install -Dm644 tensorflow.pc ${pkgdir}/usr/lib/pkgconfig/tensorflow.pc
+  install -Dm755 bazel-bin/tensorflow/libtensorflow.so 
${pkgdir}/usr/lib/libtensorflow.so
+  install -Dm755 bazel-bin/tensorflow/libtensorflow_framework.so 
${pkgdir}/usr/lib/libtensorflow_framework.so
+  install -Dm644 tensorflow/c/c_api.h 
${pkgdir}/usr/include/tensorflow/c/c_api.h
+  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
+}
+
+package_python-tensorflow() {
+  depends=(python python-protobuf absl-py)
+
+  cd ${srcdir}/tensorflow-${_pkgver}
+
+  WHEEL_PACKAGE=$(find ${srcdir}/tmp -name "tensor*.whl")
+  pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE 
--no-dependencies
+
+  # tensorboard has been separated from upstream but they still install it with
+  # tensorflow. I don't know what kind of sense that makes but we have to clean
+  # it out from this pacakge.
+  rm -rf ${pkgdir}/usr/bin/tensorboard
+
+  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
+}
+
+package_python-tensorflow-opt() {
+  depends=(python python-protobuf absl-py)
+  conflicts=(python-tensorflow)
+  provides=(python-tensorflow)
+  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CPU optimizations)"
+
+  cd ${srcdir}/tensorflow-${_pkgver}-opt
+
+  WHEEL_PACKAGE=$(find ${srcdir}/tmpopt -name "tensor*.whl")
+  pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE 
--no-dependencies
+
+  # tensorboard has been separated from upstream but they still install it with
+  # tensorflow. I don't know what kind of sense that makes but we have to clean
+  # it out from this pacakge.
+  rm -rf ${pkgdir}/usr/bin/tensorboard
+
+  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
+}
+
+package_python-tensorflow-cuda() {
+  depends=(python cuda cudnn python-pycuda python-protobuf absl-py)
+  conflicts=(python-tensorflow)
+  provides=(python-tensorflow)
+  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CUDA)"
+
+  cd ${srcdir}/tensorflow-${_pkgver}-cuda
+
+  WHEEL_PACKAGE=$(find ${srcdir}/tmpcuda -name "tensor*.whl")
+  pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE 
--no-dependencies
+
+  # tensorboard has been separated from upstream but they still install it with
+  # tensorflow. I don't know what kind of sense that makes but we have to clean
+  # it out from this pacakge.
+  rm -rf ${pkgdir}/usr/bin/tensorboard
+
+  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
+}
+
+package_python-tensorflow-opt-cuda() {
+  depends=(python cuda cudnn python-pycuda python-protobuf absl-py)
+  conflicts=(python-tensorflow)
+  provides=(python-tensorflow)
+  pkgdesc="Library for computation using data flow graphs for scalable machine 
learning (with CUDA and CPU optimizations)"
+
+  cd ${srcdir}/tensorflow-${_pkgver}-cuda
+
+  WHEEL_PACKAGE=$(find ${srcdir}/tmpcudaopt -name "tensor*.whl")
+  pip install --ignore-installed --upgrade --root $pkgdir/ $WHEEL_PACKAGE 
--no-dependencies
+
+  # tensorboard has been separated from upstream but they still install it with
+  # tensorflow. I don't know what kind of sense that makes but we have to clean
+  # it out from this pacakge.
+  rm -rf ${pkgdir}/usr/bin/tensorboard
+
+  install -Dm644 LICENSE ${pkgdir}/usr/share/licenses/${pkgname}/LICENSE
+}
+
+# vim:set ts=2 sw=2 et:

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