Package: libtorch-cuda-dev (2.1.2+dfsg-3 and others) [contrib]

[ 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).

Other Packages Related to libtorch-cuda-dev

• dep: libprotobuf-dev

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

• dep: libtorch-cuda-2.0 (= 2.0.1+dfsg-5) [ppc64el]

  Tensors and Dynamic neural networks in Python (Shared Objects)

• dep: libtorch-cuda-2.1 (= 2.1.2+dfsg-3) [amd64]

  Tensors and Dynamic neural networks in Python (Shared Objects)

• dep: python3-dev

  header files and a static library for Python (default)

Download libtorch-cuda-dev

Download for all available architectures

Architecture	Version	Package Size	Installed Size	Files
amd64	2.1.2+dfsg-3	2,184.5 kB	28,288.0 kB	[list of files]
ppc64el	2.0.1+dfsg-5	2,096.3 kB	26,951.0 kB	[list of files]