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

[ Fonte: 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).

Outros pacotes relacionados a 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)

Download de libtorch-cuda-dev

Baixe para todas as arquiteturas disponíveis

Arquitetura	Tamanho do pacote	Tamanho instalado	Arquivos
amd64	2,368.6 kB	30,273.0 kB	[lista de arquivos]
arm64	2,368.0 kB	30,269.0 kB	[lista de arquivos]
ppc64el	2,367.8 kB	30,268.0 kB	[lista de arquivos]