Package: libtorch-test (1.8.1-4)

Links for libtorch-test

Download Source Package pytorch:

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 and Caffe2 (Test Binaries).

dep: libbenchmark1 (>= 1.6.1)

Microbenchmark support library, shared library
dep: libc6 (>= 2.34)

GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
dep: libgcc-s1 (>= 3.0) [not arm64]

GCC support library

dep: libgcc-s1 (>= 4.5) [arm64]
dep: libgflags2.2 (>= 2.2.2)

commandline flags module for C++ (shared library)
dep: libgomp1 (>= 4.9)

GCC OpenMP (GOMP) support library
dep: libgoogle-glog0v5 (>= 0.5.0+really0.4.0)

library that implements application-level logging.
dep: libprotobuf23 (>= 3.12.4)

protocol buffers C++ library
dep: libstdc++6 (>= 11)

GNU Standard C++ Library v3
dep: libtorch1.8 (= 1.8.1-4)

Tensors and Dynamic neural networks in Python (Shared Objects)
dep: libunwind8 [amd64]

library to determine the call-chain of a program - runtime

Download for all available architectures
Architecture	Package Size	Installed Size	Files
amd64	9,960.8 kB	73835 kB	[list of files]
arm64	8,958.0 kB	68148 kB	[list of files]
ppc64el	9,295.2 kB	97345 kB	[list of files]