Package: libtorch-test (1.7.1-7)

[ Source: pytorch  ]

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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).

Other Packages Related to libtorch-test

• 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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