Package: libtorch2.1 (2.1.2+dfsg-1)

[ Source: pytorch  ]

Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

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 libtorch2.1

Download for all available architectures

Architecture	Package Size	Installed Size	Files
amd64	48,527.8 kB	238,581.0 kB	[list of files]
arm64	38,409.9 kB	212,040.0 kB	[list of files]
riscv64	40,758.7 kB	181,188.0 kB	[list of files]
s390x	48,397.6 kB	260,483.0 kB	[list of files]