%FILENAME%
python-tensorflow-opt-cuda-2.4.1-6-x86_64.pkg.tar.zst

%NAME%
python-tensorflow-opt-cuda

%BASE%
tensorflow

%VERSION%
2.4.1-6

%DESC%
Library for computation using data flow graphs for scalable machine learning (with CUDA and AVX2 CPU optimizations)

%CSIZE%
236688699

%ISIZE%
1196583447

%MD5SUM%
39cf64039b5c2bf0a3d0cd49bd4c6209

%SHA256SUM%
49ea1bec7539bacec3a76cac598cef29c77b48f0c61c2a9fdbddcb928b9a3b79

%PGPSIG%
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

%URL%
https://www.tensorflow.org/

%LICENSE%
APACHE

%ARCH%
x86_64

%BUILDDATE%
1613648153

%PACKAGER%
Sven-Hendrik Haase <svenstaro@gmail.com>

%CONFLICTS%
python-tensorflow

%PROVIDES%
python-tensorflow
python-tensorflow-cuda

%DEPENDS%
c-ares
intel-mkl
onednn
pybind11
openssl-1.0
lmdb
libpng
curl
giflib
icu
libjpeg-turbo
tensorflow-opt-cuda
cuda
cudnn
nccl
python-pycuda
python-termcolor
python-astor
python-gast03
python-numpy
python-protobuf
absl-py
python-h5py
python-keras-applications
python-keras-preprocessing
python-tensorflow-estimator
python-opt_einsum
python-astunparse
python-pasta
python-flatbuffers

%OPTDEPENDS%
tensorboard: Tensorflow visualization toolkit

%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

