Package: libtorch-test (2.5.1+dfsg-3)

[ 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)

  libreria di supporto per microbenchmark, libreria condivisa

• dep: libc6 (>= 2.38)

  Libreria C GNU: librerie condivise
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 3.0) [not arm64, riscv64]

  libreria di supporto a GCC

  dep: libgcc-s1 (>= 4.5) [arm64, riscv64]

• dep: libsleef3 (>= 3.6.1) [not amd64]

  SLEEF Vectorized Math Library (libraries)

  dep: libsleef3 (>= 3.6.1-1~) [amd64]

• dep: libstdc++6 (>= 14)

  libreria GNU Standard C++, versione 3

• dep: libtorch2.5 (= 2.5.1+dfsg-3)

  Tensors and Dynamic neural networks in Python (Shared Objects)

Download libtorch-test

Download for all available architectures

Architecture	Package Size	Installed Size	Files
amd64	7,483.3 kB	60,433.0 kB	[list of files]
arm64	6,318.9 kB	60,742.0 kB	[list of files]
ppc64el	6,544.0 kB	70,982.0 kB	[list of files]
riscv64	6,549.9 kB	46,585.0 kB	[list of files]
s390x	6,156.5 kB	59,301.0 kB	[list of files]