Paquet : libtorch-dev (2.1.2+dfsg-4 et autres)

Liens pour libtorch-dev

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 (Development files).

dep: libgflags-dev [hppa, riscv64]

commandline flags module for C++ (development files)
dep: libgoogle-glog-dev [hppa, riscv64]

library that implements application-level logging.
dep: libprotobuf-dev [non hppa]

protocol buffers C++ library (development files) and proto files
dep: libtorch1.13 (= 1.13.1+dfsg-4) [riscv64]

Tensors and Dynamic neural networks in Python (Shared Objects)
dep: libtorch1.8 (= 1.8.1-2) [hppa]

Tensors and Dynamic neural networks in Python with strong GPU acceleration
dep: libtorch2.0 (= 2.0.1+dfsg-5+b1) [ppc64el]

Tensors and Dynamic neural networks in Python (Shared Objects)
dep: libtorch2.1 (= 2.1.2+dfsg-4) [amd64, arm64, s390x]

Tensors and Dynamic neural networks in Python (Shared Objects)
dep: python3-all-dev [hppa]

package depending on all supported Python 3 development packages
dep: python3-dev [non hppa]

header files and a static library for Python (default)

Télécharger pour toutes les architectures proposées
Architecture	Version	Taille du paquet	Espace occupé une fois installé	Fichiers
amd64	2.1.2+dfsg-4	2 190,9 ko	28 281,0 ko	[liste des fichiers]
arm64	2.1.2+dfsg-4	2 190,4 ko	28 276,0 ko	[liste des fichiers]
hppa (portage non officiel)	1.8.1-2	1 368,4 ko	10 917,0 ko	[liste des fichiers]
ppc64el	2.0.1+dfsg-5+b1	2 101,9 ko	26 944,0 ko	[liste des fichiers]
riscv64 (portage non officiel)	1.13.1+dfsg-4	2 138,9 ko	26 384,0 ko	[liste des fichiers]
s390x	2.1.2+dfsg-4	2 190,2 ko	28 276,0 ko	[liste des fichiers]