Package: libtorch-test (2.5.0+dfsg-1 and others)

[ Source: pytorch  ]

Tensors and Dynamic neural networks in Python (Test Binaries)

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 (Test Binaries).

Other Packages Related to libtorch-test

• dep: libbenchmark1.8.3 (>= 1.8.3)

  Microbenchmark support library, shared library

• dep: libc6 (>= 2.38)

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC support library

• dep: libsleef3 (>= 3.6.1)

  SLEEF Vectorized Math Library (libraries)

• dep: libstdc++6 (>= 14)

  GNU Standard C++ Library v3

• dep: libtorch2.5 (= 2.5.0+dfsg-1+b2)

  Tensors and Dynamic neural networks in Python (Shared Objects)

Download libtorch-test

Download for all available architectures

Architecture	Version	Package Size	Installed Size	Files
s390x	2.5.0+dfsg-1+b2	6,155.7 kB	59,297.0 kB	[list of files]