Date: Sunday, July 31, 2022 @ 18:51:27 Author: svenstaro Revision: 1259441
upgpkg: tensorflow 2.9.1-2: Let Tensorflow use its own MKL It seems upstream prefers it this way anyway. Modified: tensorflow/trunk/PKGBUILD ----------+ PKGBUILD | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) Modified: PKGBUILD =================================================================== --- PKGBUILD 2022-07-31 18:51:22 UTC (rev 1259440) +++ PKGBUILD 2022-07-31 18:51:27 UTC (rev 1259441) @@ -7,15 +7,14 @@ pkgname=(tensorflow tensorflow-opt tensorflow-cuda tensorflow-opt-cuda python-tensorflow python-tensorflow-opt python-tensorflow-cuda python-tensorflow-opt-cuda) pkgver=2.9.1 _pkgver=2.9.1 -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' 'intel-mkl' 'onednn' 'pybind11' 'openssl' 'lmdb' 'libpng' 'curl' 'giflib' 'icu' 'libjpeg-turbo') -makedepends=('bazel' 'python-numpy' 'cuda' 'nvidia-utils' 'nccl' 'git' - 'cudnn' 'python-pip' 'python-wheel' 'python-setuptools' 'python-h5py' - 'python-keras-applications' 'python-keras-preprocessing' +depends=('c-ares' 'pybind11' 'openssl' 'lmdb' 'libpng' 'curl' 'giflib' 'icu' 'libjpeg-turbo') +makedepends=('bazel' 'python-numpy' 'cuda' 'nvidia-utils' 'nccl' 'git' 'cudnn' 'python-pip' 'python-wheel' + 'python-setuptools' 'python-h5py' 'python-keras-applications' 'python-keras-preprocessing' 'cython') optdepends=('tensorboard: Tensorflow visualization toolkit') source=("$pkgname-$pkgver.tar.gz::https://github.com/tensorflow/tensorflow/archive/v${_pkgver}.tar.gz"; @@ -91,7 +90,6 @@ export TF_DOWNLOAD_CLANG=0 export TF_NCCL_VERSION=$(pkg-config nccl --modversion | grep -Po '\d+\.\d+') export TF_IGNORE_MAX_BAZEL_VERSION=1 - export TF_MKL_ROOT=/opt/intel/mkl export NCCL_INSTALL_PATH=/usr # Does tensorflow really need the compiler overridden in 5 places? Yes. export CC=gcc-11
