python3-lightningaarch643f5e93600deb940d6091090a3bcad2eb9d3453089d8eb8042448e8fbc96712daTensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.https://github.com/Lightning-AI/pytorch-lightningBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209090-20240127-0616pytorch-lightning-2.0.2-2.src.rpmpython3-pytorch3daarch641df862e1df005563aa8f37c0896bdb60e40c69aeeb0a63853c8a0cf860e928efTensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.https://github.com/facebookresearch/pytorch3dBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209098-20240127-0731pytorch3d-0.7.4-2.src.rpmpytorch-lightningsrc217fcfb217c176428f2d4da259078ebb26fe332b8b12778835c5d06cdc1e2b68Tensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.https://github.com/Lightning-AI/pytorch-lightningBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209090-20240127-0616pytorch3dsrcf4d01dfa30e014df12a131aaadc3b61f42f61e2389cdb606f6e8c406d06aeda1Tensors and Dynamic neural networks in Python with strong GPU accelerationPyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.https://github.com/facebookresearch/pytorch3dBSD-3openEuler Copr - user LHY1999Unspecifiedeur-prod-workerlocal-aarch64-normal-prod-00209098-20240127-0731pytorch3d-debuginfoaarch645fc3ea6c299b0684d439fa79d1c2b13e345c5b691f1cafdf25c24352848b47eaDebug information for package pytorch3dThis package provides debug information for package pytorch3d.
Debug information is useful when developing applications that use this
package or when debugging this package.https://github.com/facebookresearch/pytorch3dBSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-aarch64-normal-prod-00209098-20240127-0731pytorch3d-0.7.4-2.src.rpmpytorch3d-debugsourceaarch64e7a029cbdfa97cdfa1f71a3b52c5e451c84ca4e89f7c563bd81d9b4d7458db38Debug sources for package pytorch3dThis package provides debug sources for package pytorch3d.
Debug sources are useful when developing applications that use this
package or when debugging this package.https://github.com/facebookresearch/pytorch3dBSD-3openEuler Copr - user LHY1999Development/Debugeur-prod-workerlocal-aarch64-normal-prod-00209098-20240127-0731pytorch3d-0.7.4-2.src.rpm