Package: libtorch-test (1.8.1-2) [debports]

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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-s4 (>= 4.1.1)

  GCC support library

• 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)

  Package not available

• dep: libprotobuf23 (>= 3.12.4)

  protocol buffers C++ library

• dep: libstdc++6 (>= 9)

  GNU Standard C++ Library v3

• dep: libtorch1.8 (= 1.8.1-2)

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

Download libtorch-test

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Architecture	Package Size	Installed Size	Files
hppa (unofficial port)	8,183.9 kB	71,303.0 kB	[list of files]