Package: libtorch-dev (2.1.2+dfsg-4 and others)

Links for 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 [not 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-2+b2) [s390x]

Tensors and Dynamic neural networks in Python (Shared Objects)

dep: libtorch2.1 (= 2.1.2+dfsg-4) [amd64, arm64]
dep: python3-all-dev [hppa]

package depending on all supported Python 3 development packages
dep: python3-dev [not hppa]

header files and a static library for Python (default)

Download for all available architectures
Architecture	Version	Package Size	Installed Size	Files
amd64	2.1.2+dfsg-4	2,190.9 kB	28,281.0 kB	[list of files]
arm64	2.1.2+dfsg-4	2,190.4 kB	28,276.0 kB	[list of files]
hppa (unofficial port)	1.8.1-2	1,368.4 kB	10,917.0 kB	[list of files]
ppc64el	2.0.1+dfsg-5+b1	2,101.9 kB	26,944.0 kB	[list of files]
riscv64 (unofficial port)	1.13.1+dfsg-4	2,138.9 kB	26,384.0 kB	[list of files]
s390x	2.1.2+dfsg-2+b2	2,189.9 kB	28,279.0 kB	[list of files]