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The search service can find package by either name (apache), provides(webserver), absolute file names (/usr/bin/apache), binaries (gprof) or shared libraries (libXm.so.2) in standard path. It does not support multiple arguments yet...
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Tensors and dynamic neural networks in Python. Compiled from the official pytorch-v2.13.0 source tarball (not a PyPI wheel). GPU: * ROCm/HIP — AMD (gfx906, gfx908, gfx90a, gfx942, gfx1030, gfx1100–1102, gfx1200–1201). This is torch.cuda on Radeon / Instinct (ComfyUI, Krita AI). * Vulkan — ATen compute backend (Intel / AMD / wherever a Vulkan 1.x driver exists). Not the Intel XPU/SYCL stack. CUDA is off. Flash-attention/AOTriton is off (it downloads prebuilt images; ABF has no network). LTO is off (libtorch link OOMs with full LTO on 64G builders). Bundled CK GEMM/ SDPA/MSLK are off until Composable Kernel is fixed for Clang 23 vector builtin types.
| Package | Summary | Distribution | Download |
| python-torch-2.14.0-1.aarch64.html | PyTorch machine learning framework | OpenMandriva Cooker for aarch64 | python-torch-2.14.0-1.aarch64.rpm |
| python-torch-2.14.0-1.aarch64.html | PyTorch machine learning framework | OpenMandriva Cooker for aarch64 | python-torch-2.14.0-1.aarch64.rpm |
| python-torch-2.13.0-5.x86_64.html | PyTorch machine learning framework | OpenMandriva Cooker for x86_64 | python-torch-2.13.0-5.x86_64.rpm |
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