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

[ Източник: 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).

Други пакети, свързани с libtorch-cuda-test

• dep: libbenchmark1.9.1 (>= 1.9.1)

  Microbenchmark support library, shared library

• dep: libc6 (>= 2.38)

  GNU C Library: Shared libraries
  също и виртуален пакет, предлаган от libc6-udeb

• dep: libcudart12

  NVIDIA CUDA Runtime Library

• dep: libgcc-s1 (>= 3.0) [не arm64]

  GCC support library

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

• dep: libsleef3 (>= 3.6.1) [не amd64]

  SLEEF Vectorized Math Library (libraries)

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

• dep: libstdc++6 (>= 12)

  GNU Standard C++ Library v3

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

  Tensors and Dynamic neural networks in Python (Shared Objects)

Изтегляне на libtorch-cuda-test

Изтегляне за всички налични архитектури

Архитектура	Големина на пакета	Големина след инсталиране	Файлове
amd64	8 676,0 кБ	74 663,0 кБ	[списък на файловете]
arm64	7 607,6 кБ	71 171,0 кБ	[списък на файловете]
ppc64el	8 224,0 кБ	85 895,0 кБ	[списък на файловете]