Package: libtorch-test (2.6.0+dfsg-5 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: libbenchmark1.9.1 (>= 1.9.1)

  Microbenchmark support library, shared library

• dep: libc6 (>= 2.38)

  GNU C 라이브러리: 공유 라이브러리
  also a virtual package provided by libc6-udeb

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

  GCC 기능 지원 라이브러리

  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)

  GNU 표준 C++ 라이브러리 v3

• dep: libtorch2.6 (= 2.6.0+dfsg-5+b1)

  Tensors and Dynamic neural networks in Python (Shared Objects)

Download libtorch-test

Download for all available architectures

Architecture	Version	Package Size	Installed Size	Files
amd64	2.6.0+dfsg-5+b1	7,841.1 kB	63,265.0 kB	[list of files]
arm64	2.6.0+dfsg-5+b1	6,646.6 kB	63,822.0 kB	[list of files]
ppc64el	2.6.0+dfsg-5+b1	7,016.5 kB	74,382.0 kB	[list of files]
riscv64	2.6.0+dfsg-5+b1	6,930.7 kB	48,861.0 kB	[list of files]
s390x	2.6.0+dfsg-5+b1	6,486.2 kB	62,081.0 kB	[list of files]