%FILENAME%
python-pytorch-opt-cuda-2.11.0-4-x86_64.pkg.tar.zst

%NAME%
python-pytorch-opt-cuda

%BASE%
python-pytorch

%VERSION%
2.11.0-4

%DESC%
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and AVX2 CPU optimizations)

%CSIZE%
689082704

%ISIZE%
1331733992

%SHA256SUM%
ee15101e03c6de23f3e4ad72295f8a289e506bdc622d9a389364164ffcf50ad1

%URL%
https://pytorch.org

%LICENSE%
BSD-3-Clause-Modification

%ARCH%
x86_64

%BUILDDATE%
1777163911

%PACKAGER%
Dmitry Razumov <asmeron@ublinux.com>

%CONFLICTS%
python-pytorch

%PROVIDES%
python-pytorch=2.11.0
python-pytorch-cuda=2.11.0

%DEPENDS%
abseil-cpp
eigen
gflags
glibc
google-glog
intel-oneapi-mkl
libgcc
libgomp
libstdc++
libuv
numactl
openmp
openmpi
protobuf
pybind11
python
python-filelock
python-fsspec
python-jinja
python-networkx
python-numpy
python-sympy
python-typing_extensions
python-yaml
qt6-base
vulkan-icd-loader
cuda
nccl
cudnn
onednn

%OPTDEPENDS%
python-onnxscript: for the ONNX exporter

%MAKEDEPENDS%
cmake
cuda
cudnn
doxygen
git
hipblaslt
miopen-hip
nccl
ninja
onednn
pkgconfig
python-aotriton
python-build
python-installer
python-setuptools
python-triton
python-yaml
rocm-hip-sdk
rocm-toolchain
roctracer
shaderc
vulkan-headers

