Package: libtorch-cuda-test (2.6.0+dfsg-6) [contrib]

[ Source: pytorch-cuda  ]

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 CUDA version of PyTorch (Test Binaries).

Other Packages Related to libtorch-cuda-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: libcudart12

  NVIDIA CUDA Runtime Library

• dep: libgcc-s1 (>= 3.0) [not arm64]

  GCC 기능 지원 라이브러리

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

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

  SLEEF Vectorized Math Library (libraries)

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

• dep: libstdc++6 (>= 12)

  GNU 표준 C++ 라이브러리 v3

• dep: libtorch-cuda-2.6 (= 2.6.0+dfsg-6)

  Tensors and Dynamic neural networks in Python (Shared Objects)

Download libtorch-cuda-test

Download for all available architectures

Architecture	Package Size	Installed Size	Files
amd64	8,676.0 kB	74,663.0 kB	[list of files]
arm64	7,607.6 kB	71,171.0 kB	[list of files]
ppc64el	8,224.0 kB	85,895.0 kB	[list of files]