[ Source: pytorch-cuda ]
Package: libtorch-cuda-2.6 (2.6.0+dfsg-7 and others) [contrib]
Links for libtorch-cuda-2.6
Debian Resources:
Download Source Package pytorch-cuda:
- [pytorch-cuda_2.6.0+dfsg-7.dsc]
- [pytorch-cuda_2.6.0+dfsg.orig.tar.xz]
- [pytorch-cuda_2.6.0+dfsg-7.debian.tar.xz]
Maintainers:
External Resources:
- Homepage [pytorch.org]
Similar packages:
Tensors and Dynamic neural networks in Python (Shared Objects)
PyTorch is a Python package that provides two high-level features:
(1) Tensor computation (like NumPy) with strong GPU acceleration (2) 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.
This is the CUDA version of PyTorch (Shared Objects).
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Download libtorch-cuda-2.6
| Architecture | Version | Package Size | Installed Size | Files |
|---|---|---|---|---|
| amd64 | 2.6.0+dfsg-7+b1 | 469,425.0 kB | 1,420,021.0 kB | [list of files] |
| arm64 | 2.6.0+dfsg-7+b1 | 457,608.1 kB | 1,369,540.0 kB | [list of files] |