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

[ Quellcode: 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).

Andere Pakete mit Bezug zu libtorch-cuda-test

• dep: libbenchmark1.9.1 (>= 1.9.1)

  Microbenchmark support library, shared library

• dep: libc6 (>= 2.38)

  GNU-C-Bibliothek: Laufzeitbibliotheken
  auch ein virtuelles Paket, bereitgestellt durch libc6-udeb

• dep: libcudart12

  NVIDIA CUDA Runtime Library

• dep: libgcc-s1 (>= 3.0) [nicht arm64]

  GCC Support-Bibliothek

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

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

  SLEEF Vectorized Math Library (libraries)

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

• dep: libstdc++6 (>= 12)

  GNU-Implementierung der Standard-C++-Bibliothek (Version 3)

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

  Tensors and Dynamic neural networks in Python (Shared Objects)

libtorch-cuda-test herunterladen

Download für alle verfügbaren Architekturen

Architektur	Paketgröße	Größe (installiert)	Dateien
amd64	8.676,0 kB	74.663,0 kB	[Liste der Dateien]
arm64	7.607,6 kB	71.171,0 kB	[Liste der Dateien]
ppc64el	8.224,0 kB	85.895,0 kB	[Liste der Dateien]