Date: Friday, December 11, 2020 @ 17:28:45 Author: svenstaro Revision: 773156
Prepare 2.4.0rc4 Modified: tensorflow/trunk/PKGBUILD ----------+ PKGBUILD | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) Modified: PKGBUILD =================================================================== --- PKGBUILD 2020-12-11 17:24:30 UTC (rev 773155) +++ PKGBUILD 2020-12-11 17:28:45 UTC (rev 773156) @@ -5,9 +5,9 @@ pkgbase=tensorflow pkgname=(tensorflow tensorflow-opt tensorflow-cuda tensorflow-opt-cuda python-tensorflow python-tensorflow-opt python-tensorflow-cuda python-tensorflow-opt-cuda) -pkgver=2.3.1 -_pkgver=2.3.1 -pkgrel=7 +pkgver=2.4.0rc4 +_pkgver=2.4.0-rc4 +pkgrel=1 pkgdesc="Library for computation using data flow graphs for scalable machine learning" url="https://www.tensorflow.org/"; license=('APACHE') @@ -25,7 +25,7 @@ cuda11.1.patch fix-h5py3.0.patch build-against-actual-mkl.patch) -sha512sums=('e497ef4564f50abf9f918be4522cf702f4cf945cb1ebf83af1386ac4ddc7373b3ba70c7f803f8ca06faf2c6b5396e60b1e0e9b97bfbd667e733b08b6e6d70ef0' +sha512sums=('fe69642a5cd0a6f7e8ae7abb93dec06225958d02f037936421a2b0c75bfc7d99efd5e1c6e0e3c2d0a6d3404516f4d178349d1fa88d81a14adb65d027339cb237' '9dcaef0dd4fdd7008a27e383ef87c97990ba883a3094f214f821a039994933ec6ec47f5a832570e5c4b783e0493ce2236e7957e596395c4dee40f9bf2621ff2f' '86345e25a3d9fad2c3ddab2be25b45b1fb9739b3bf45ba551eefa4f75d7eda6287064724539e7944f99f050676cd3d43cd5c6b60ab376bb6891dabfc2d96ff2d' 'df2e0373e2f63b8766f31933f7db57f6a7559b8f03af1db51644fba87731451a7cd3895529a3192e5394612fcb42f245b794b1c9ca3c05881ca03a547c8c9acc' @@ -53,18 +53,18 @@ # Tensorflow actually wants to build against a slimmed down version of Intel MKL called MKLML # See https://github.com/intel/mkl-dnn/issues/102 # MKLML version that Tensorflow wants to use is https://github.com/intel/mkl-dnn/releases/tag/v0.21 - patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/build-against-actual-mkl.patch + # patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/build-against-actual-mkl.patch # Fix wrong SONAME being shipped in CUDA 11.1 - patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/cuda11.1.patch + # patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/cuda11.1.patch # Compile with C++17 by default (FS#65953) #sed -i "s/c++14/c++17/g" tensorflow-${_pkgver}/.bazelrc - patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/numpy1.20.patch + # patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/numpy1.20.patch # FS#68488 - patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/fix-h5py3.0.patch + # patch -Np1 -d tensorflow-${_pkgver} -i "$srcdir"/fix-h5py3.0.patch # Get rid of hardcoded versions. Not like we ever cared about what upstream # thinks about which versions should be used anyway. ;) (FS#68772)
