[arch-commits] Commit in tensorflow/trunk (PKGBUILD)
Sven-Hendrik Haase
svenstaro at archlinux.org
Tue Mar 5 20:41:48 UTC 2019
Date: Tuesday, March 5, 2019 @ 20:41:48
Author: svenstaro
Revision: 437777
Add python-tensorflow-estimator to deps
Modified:
tensorflow/trunk/PKGBUILD
----------+
PKGBUILD | 16 ++++++++--------
1 file changed, 8 insertions(+), 8 deletions(-)
Modified: PKGBUILD
===================================================================
--- PKGBUILD 2019-03-05 20:41:30 UTC (rev 437776)
+++ PKGBUILD 2019-03-05 20:41:48 UTC (rev 437777)
@@ -7,13 +7,13 @@
pkgname=(tensorflow tensorflow-opt tensorflow-cuda tensorflow-opt-cuda python-tensorflow python-tensorflow-opt python-tensorflow-cuda python-tensorflow-opt-cuda)
pkgver=1.13.1
_pkgver=1.13.1
-pkgrel=1
+pkgrel=2
pkgdesc="Library for computation using data flow graphs for scalable machine learning"
url="https://www.tensorflow.org/"
license=('APACHE')
arch=('x86_64')
depends=('c-ares')
-makedepends=('bazel' 'python-numpy' 'cuda' 'nvidia-utils' 'nccl' 'git'
+makedepends=('bazel' 'python-numpy' 'cuda' 'nvidia-utils' 'nccl' 'git' 'gcc7'
'cudnn' 'python-pip' 'python-wheel' 'python-setuptools' 'python-h5py'
'python-keras-applications' 'python-keras-preprocessing')
optdepends=('tensorboard: Tensorflow visualization toolkit')
@@ -76,7 +76,7 @@
export TF_CUDA_COMPUTE_CAPABILITIES=3.5,3.7,5.0,5.2,5.3,6.0,6.1,6.2,7.0,7.2,7.5
./configure
bazel \
- build --config=opt --config=opt \
+ build --config=opt \
//tensorflow:libtensorflow.so \
//tensorflow:libtensorflow_cc.so \
//tensorflow:install_headers \
@@ -108,7 +108,7 @@
export TF_CUDA_COMPUTE_CAPABILITIES=3.5,3.7,5.0,5.2,5.3,6.0,6.1,6.2,7.0,7.2,7.5
./configure
bazel \
- build --config=opt --config=opt \
+ build --config=opt \
//tensorflow:libtensorflow.so \
//tensorflow:libtensorflow_cc.so \
//tensorflow:install_headers \
@@ -191,7 +191,7 @@
}
package_python-tensorflow() {
- depends+=(python-termcolor python-astor python-gast python-numpy python-protobuf absl-py python-h5py python-keras-applications python-keras-preprocessing)
+ depends+=(python-termcolor python-astor python-gast python-numpy python-protobuf absl-py python-h5py python-keras-applications python-keras-preprocessing python-tensorflow-estimator)
cd ${srcdir}/tensorflow-${_pkgver}
@@ -207,7 +207,7 @@
}
package_python-tensorflow-opt() {
- depends+=(python-termcolor python-astor python-gast python-numpy python-protobuf absl-py python-h5py python-keras-applications python-keras-preprocessing)
+ depends+=(python-termcolor python-astor python-gast python-numpy python-protobuf absl-py python-h5py python-keras-applications python-keras-preprocessing python-tensorflow-estimator)
conflicts=(python-tensorflow)
provides=(python-tensorflow)
pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CPU optimizations)"
@@ -226,7 +226,7 @@
}
package_python-tensorflow-cuda() {
- depends+=(python-termcolor python-astor python-gast python-numpy cuda cudnn python-pycuda python-protobuf absl-py nccl python-h5py python-keras-applications python-keras-preprocessing)
+ depends+=(python-termcolor python-astor python-gast python-numpy cuda cudnn python-pycuda python-protobuf absl-py nccl python-h5py python-keras-applications python-keras-preprocessing python-tensorflow-estimator)
conflicts=(python-tensorflow)
provides=(python-tensorflow)
pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA)"
@@ -245,7 +245,7 @@
}
package_python-tensorflow-opt-cuda() {
- depends+=(python-termcolor python-astor python-gast python-numpy cuda cudnn python-pycuda python-protobuf absl-py nccl python-h5py python-keras-applications python-keras-preprocessing)
+ depends+=(python-termcolor python-astor python-gast python-numpy cuda cudnn python-pycuda python-protobuf absl-py nccl python-h5py python-keras-applications python-keras-preprocessing python-tensorflow-estimator)
conflicts=(python-tensorflow)
provides=(python-tensorflow python-tensorflow-cuda)
pkgdesc="Library for computation using data flow graphs for scalable machine learning (with CUDA and CPU optimizations)"
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