python-pytorch-opt-rocm 2.5.1-1
| Architecture: | x86_64 |
|---|---|
| Repository: | Extra-Staging |
| Base Package: | python-pytorch |
| Description: | Tensors and Dynamic neural networks in Python with strong GPU acceleration (with ROCm and AVX2 CPU optimizations) |
| Upstream URL: | https://pytorch.org |
| License(s): | BSD |
| Provides: | |
| Conflicts: | |
| Maintainers: |
Sven-Hendrik Haase Konstantin Gizdov Torsten Keßler |
| Package Size: | 201.6 MB |
| Installed Size: | 1.2 GB |
| Last Packager: | Torsten Keßler |
| Build Date: | 2024-11-01 14:13 UTC |
| Signed By: | Torsten Keßler |
| Signature Date: | 2024-11-01 17:13 UTC |
| Last Updated: | 2024-11-01 17:21 UTC |
Dependencies (56)
- eigen
- ffmpeg (staging)
- gflags
- google-glog
- hipblaslt (staging)
- intel-oneapi-mkl
- libuv
- magma-hip (staging)
- miopen-hip (staging)
- numactl
- onednn
- opencv (staging)
- openmp
- openmpi (staging)
- protobuf
- pybind11
- python
- python-filelock
- python-future
- python-jinja
- python-networkx
- python-numpy
- python-sympy
- python-typing_extensions
- python-yaml
- qt6-base
- rocm-hip-sdk (staging)
- roctracer (staging)
- cmake (make)
- cuda (make)
- cudnn (make)
- doxygen (make)
- gcc13 (make)
- git (make)
- hipblaslt (staging) (make)
- magma-cuda (staging) (make)
- magma-hip (staging) (make)
- miopen-hip (staging) (make)
- nccl (make)
- ninja (make)
- onednn (make)
- pkgconfig (pkgconf) (make)
- python (make)
- python-iniconfig (make)
- python-numpy (make)
- python-packaging (make)
- python-pluggy (make)
- python-setuptools (make)
- python-textual (make)
- python-tqdm (make)
- python-wheel (make)
- python-yaml (make)
- rocm-hip-sdk (staging) (make)
- roctracer (staging) (make)
- shaderc (make)
- vulkan-headers (make)
Required By (6)
- python-openai-whisper (requires python-pytorch)
- python-torchvision (requires python-pytorch) (staging)
- python-keras (requires python-pytorch) (optional)
- nanobind (requires python-pytorch) (check)
- python-blosc2 (requires python-pytorch) (check)
- python-distributed (requires python-pytorch) (check)