Paquet : libtorch-cuda-dev (2.6.0+dfsg-7) [contrib]

[ Paquet source : pytorch-cuda  ]

Tensors and Dynamic neural networks in Python (Development Files)

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 (Development files).

Autres paquets associés à libtorch-cuda-dev

• dep: libprotobuf-dev

  protocol buffers C++ library (development files) and proto files

• dep: libtorch-cuda-2.6 (= 2.6.0+dfsg-7)

  Tensors and Dynamic neural networks in Python (Shared Objects)

• dep: python3-dev

  header files and a static library for Python (default)

Télécharger libtorch-cuda-dev

Télécharger pour toutes les architectures proposées

Architecture	Taille du paquet	Espace occupé une fois installé	Fichiers
amd64	2 368,6 ko	30 273,0 ko	[liste des fichiers]
arm64	2 368,0 ko	30 269,0 ko	[liste des fichiers]
ppc64el	2 367,8 ko	30 268,0 ko	[liste des fichiers]