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RPM resource python-torch

Tensors and dynamic neural networks in Python. Compiled from the official pytorch-v2.14.1 source tarball (not a PyPI wheel). 2.14 brings NVGEMM (CuTeDSL CUTLASS kernels in Inductor), a new nccl2 distributed backend, first-class c10d fault tolerance, torch.switch / CUDA-graphable while_loop, @dynamic_spec dynamic shapes, and experimental torch.compile for complex tensors. Official wheels target ROCm 7.14 via TheRock; this package is built against TheRock 10.0 (HIP 7.15). 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). Distributed is on (Gloo + RCCL + MPI). Kineto (ROCm profiler) is on. Bundled CK GEMM/SDPA/MSLK are on (Clang 23 raw_buffer_* signedness patched). hipFile is not packaged: USE_CUFILE is requested and then turned off at configure if hipfile is missing.

Found 1 sites for python-torch

• https://pytorch.org

Found 2 RPM for python-torch

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Fabrice Bellet