Package: libtorch-test (2.1.2+dfsg-1)

[ Source: pytorch  ]

Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

Tensors and Dynamic neural networks in Python (Test Binaries)

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 (Test Binaries).

Other Packages Related to libtorch-test

• dep: libbenchmark1.8.3 (>= 1.8.3) [not amd64]

  Microbenchmark support library, shared library

• dep: libbenchmark1debian (>= 1.8.3) [amd64]

  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) [amd64, s390x]

  GCC support library

  dep: libgcc-s1 (>= 4.5) [arm64, riscv64]

• dep: libstdc++6 (>= 13.1)

  GNU Standard C++ Library v3

• dep: libtorch2.1 (= 2.1.2+dfsg-1)

  Tensors and Dynamic neural networks in Python (Shared Objects)

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Architecture	Package Size	Installed Size	Files
amd64	7,086.2 kB	56,573.0 kB	[list of files]
arm64	5,998.8 kB	57,597.0 kB	[list of files]
riscv64	6,251.6 kB	44,677.0 kB	[list of files]
s390x	5,923.1 kB	55,857.0 kB	[list of files]