Package: libtorch-test (1.7.1-7)

Links for libtorch-test

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 (>= 1.5.2)

Microbenchmark support library, shared library
dep: libc6 (>= 2.29)

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

GCC support library

dep: libgcc-s1 (>= 3.5) [armhf]

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 (>= 0.4.0)

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

protocol buffers C++ library
dep: libstdc++6 (>= 9)

GNU Standard C++ Library v3
dep: libtorch1.7 (= 1.7.1-7)

Tensors and Dynamic neural networks in Python with strong GPU acceleration
dep: libunwind8 [amd64]

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

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armhf	6,562.0 kB	44,515.0 kB	[list of files]
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