[arch-commits] Commit in tensorflow/repos/community-x86_64 (3 files)
Sven-Hendrik Haase
svenstaro at archlinux.org
Sun Jan 28 14:59:11 UTC 2018
Date: Sunday, January 28, 2018 @ 14:59:10
Author: svenstaro
Revision: 287618
archrelease: copy trunk to community-x86_64
Added:
tensorflow/repos/community-x86_64/15229.patch
(from rev 287617, tensorflow/trunk/15229.patch)
tensorflow/repos/community-x86_64/PKGBUILD
(from rev 287617, tensorflow/trunk/PKGBUILD)
Deleted:
tensorflow/repos/community-x86_64/PKGBUILD
-------------+
15229.patch | 37 ++++
PKGBUILD | 447 +++++++++++++++++++++++++++++-----------------------------
2 files changed, 266 insertions(+), 218 deletions(-)
Copied: tensorflow/repos/community-x86_64/15229.patch (from rev 287617, tensorflow/trunk/15229.patch)
===================================================================
--- 15229.patch (rev 0)
+++ 15229.patch 2018-01-28 14:59:10 UTC (rev 287618)
@@ -0,0 +1,37 @@
+From d4c33cfc944cbcac7a31811ba8f86448d8cc2e23 Mon Sep 17 00:00:00 2001
+From: Anush Elangovan <anush at 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 2018-01-28 14:58:51 UTC (rev 287617)
+++ PKGBUILD 2018-01-28 14:59:10 UTC (rev 287618)
@@ -1,218 +0,0 @@
-# Maintainer: Sven-Hendrik Haase <sh at lutzhaase.com>
-# Contributor: Adria Arrufat (archdria) <adria.arrufat+AUR at protonmail.ch>
-# Contributor: Thibault Lorrain (fredszaq) <fredszaq at 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=1.4.1
-_pkgver=1.4.1
-pkgrel=3
-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${_pkgver}.tar.gz")
-sha512sums=('618e0a740c79ad9582944a827f43bbdafb1d51a1e621f6f5e5cc7f3f18eb239f0656f81fbbae20c69029a1fa8b4bab56ff5be0907f073eccbe4732e52c7511d6')
-
-prepare() {
- cp -r tensorflow-${_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_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
-}
-
-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)
-
- 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)
- 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)
- 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)
- 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 287617, tensorflow/trunk/PKGBUILD)
===================================================================
--- PKGBUILD (rev 0)
+++ PKGBUILD 2018-01-28 14:59:10 UTC (rev 287618)
@@ -0,0 +1,229 @@
+# Maintainer: Sven-Hendrik Haase <sh at lutzhaase.com>
+# Contributor: Adria Arrufat (archdria) <adria.arrufat+AUR at protonmail.ch>
+# Contributor: Thibault Lorrain (fredszaq) <fredszaq at 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=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${_pkgver}.tar.gz"
+ 15229.patch)
+sha512sums=('63240d72b9946db29279800b1081adc4cc08b6cd7dc35155a529cc335bfc1dd16fb525fb6047f6cc0dcec547a54e7e100698a176ee93f5633965cfab2a8ad9eb'
+ '3fa052354c1b351430c2a36fa152b50802d8b46a5b22fbf427ba2589932e1ad83ee51f4e1ab1d641b1755ded46b5201f5e0d26b382e2aca72baa63567356a85f')
+
+prepare() {
+ # Trick tensorflow into not building Android. The env var
+ # TF_SET_ANDROID_WORKSPACE does not work for some reason.
+ sed -i "s/if workspace_has_any_android_rule()/if True/g" tensorflow-${_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)
+
+ 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)
+ 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)
+ 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)
+ 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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