Package: libtorch2.6 (2.6.0+dfsg-5 and others)

[ Source: pytorch  ]

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 CPU-only version of PyTorch (Shared Objects).

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Download libtorch2.6

Download for all available architectures

Architecture	Version	Package Size	Installed Size	Files
amd64	2.6.0+dfsg-5+b1	56,676.2 kB	276,549.0 kB	[list of files]
arm64	2.6.0+dfsg-5+b1	43,490.5 kB	229,165.0 kB	[list of files]
ppc64el	2.6.0+dfsg-5+b1	48,514.5 kB	274,410.0 kB	[list of files]
riscv64	2.6.0+dfsg-5+b1	47,703.4 kB	200,479.0 kB	[list of files]
s390x	2.6.0+dfsg-5+b1	52,099.3 kB	277,133.0 kB	[list of files]