Package: libtorch-dev (2.5.1+dfsg-4 and others)

[ Source: pytorch  ]

Tensors and Dynamic neural networks in Python (Development Files)

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 (Development files).

Tags: Software Development: Libraries, Role: Development Library

Other Packages Related to libtorch-dev

• dep: libgflags-dev [hppa]

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• dep: libgoogle-glog-dev [hppa]

  library that implements application-level logging.

• dep: libprotobuf-dev [not hppa]

  protocol buffers C++ library (development files) and proto files

• dep: libtorch1.8 (= 1.8.1-2) [hppa]

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

• dep: libtorch2.5 (= 2.5.1+dfsg-4) [not hppa]

  Tensors and Dynamic neural networks in Python (Shared Objects)

• dep: python3-all-dev [hppa]

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• dep: python3-dev [not hppa]

  header files and a static library for Python (default)

Download libtorch-dev

Download for all available architectures

Architecture	Version	Package Size	Installed Size	Files
amd64	2.5.1+dfsg-4	2,337.5 kB	29,967.0 kB	[list of files]
arm64	2.5.1+dfsg-4	2,336.8 kB	29,962.0 kB	[list of files]
hppa (unofficial port)	1.8.1-2	1,368.4 kB	10,917.0 kB	[list of files]
ppc64el	2.5.1+dfsg-4	2,336.7 kB	29,962.0 kB	[list of files]
riscv64	2.5.1+dfsg-4	2,336.8 kB	29,962.0 kB	[list of files]
s390x	2.5.1+dfsg-4	2,336.7 kB	29,962.0 kB	[list of files]