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PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
| Package | Summary | Distribution | Download |
| python311-torch-2.5.0-1.4.aarch64.html | Deep learning framework aka pytorch/Caffe2 | OpenSuSE Ports Tumbleweed for aarch64 | python311-torch-2.5.0-1.4.aarch64.rpm |
| python311-torch-2.5.0-1.4.x86_64.html | Deep learning framework aka pytorch/Caffe2 | OpenSuSE Tumbleweed for x86_64 | python311-torch-2.5.0-1.4.x86_64.rpm |
| python311-torch-2.4.1-1.1.ppc64le.html | Deep learning framework aka pytorch/Caffe2 | OpenSuSE Ports Tumbleweed for ppc64le | python311-torch-2.4.1-1.1.ppc64le.rpm |
| python311-torch-2.3.1-2.1.s390x.html | Deep learning framework aka pytorch/Caffe2 | OpenSuSE Ports Tumbleweed for s390x | python311-torch-2.3.1-2.1.s390x.rpm |
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