Date: Friday, March 16, 2018 @ 05:01:26
Author: svenstaro
Revision: 308752
archrelease: copy trunk to community-x86_64
Added:
tensorflow/repos/community-x86_64/PKGBUILD
(from rev 308751, tensorflow/trunk/PKGBUILD)
Deleted:
tensorflow/repos/community-x86_64/PKGBUILD
----------+
PKGBUILD | 454 ++++++++++++++++++++++++++++++-------------------------------
1 file changed, 227 insertions(+), 227 deletions(-)
Deleted: PKGBUILD
===================================================================
--- PKGBUILD 2018-03-16 05:01:13 UTC (rev 308751)
+++ PKGBUILD 2018-03-16 05:01:26 UTC (rev 308752)
@@ -1,227 +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=1.6.0
-_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:
Copied: tensorflow/repos/community-x86_64/PKGBUILD (from rev 308751,
tensorflow/trunk/PKGBUILD)
===================================================================
--- PKGBUILD (rev 0)
+++ PKGBUILD 2018-03-16 05:01:26 UTC (rev 308752)
@@ -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=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${_pkgver}.tar.gz";)
+sha512sums=('a3e5f07c8f622e952f522baf78d943cf484d8b9a2e77857e2ddb33289ca9e60cb80835dce1e9366b9eedda6beb9dc0043a8e26e02b738bc71bcbf24ae3030c7e')
+
+prepare() {
+ # Trick tensorflow into not building Android. The env var
+ # TF_SET_ANDROID_WORKSPACE does not work for some reason.
+ sed -i "s/if workspace_has_any_android_rule()/if True/g"
tensorflow-${_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:
