Package: python3-torch (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 (Python interface).

Other Packages Related to python3-torch

• dep: libc6 (>= 2.30)

  GNU C Library: Shared libraries
  also a virtual package provided by libc6-udeb

• dep: libdnnl2 (>= 2.0) [amd64]

  oneAPI Deep Neural Network Library (oneDNN) (lib)

• dep: libgcc-s1 (>= 3.0) [amd64, s390x]

  GCC support library

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

  dep: libgcc-s1 (>= 4.2) [arm64, ppc64el]

• dep: libgloo0 (>= 0.0~git20200918.3dc0328) [not armhf]

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• dep: libgoogle-glog0v5 (>= 0.4.0)

  library that implements application-level logging.

• dep: libonnx1 (>= 1.7.0+dfsg)

  Open Neural Network Exchange (ONNX) (libs)

• dep: libprotobuf23 (>= 3.12.4)

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• 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

• dep: python3

  interactive high-level object-oriented language (default python3 version)

  dep: python3 (<< 3.10)

  dep: python3 (>= 3.9~)

• dep: python3-future

  Clean single-source support for Python 3 and 2 - Python 3.x

• dep: python3-numpy (>= 1:1.16.0~rc1)

  Fast array facility to the Python 3 language

• dep: python3-numpy-abi9

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• dep: python3-pkg-resources

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• dep: python3-requests

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• dep: python3-six

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• dep: python3-typing-extensions

  Backported and Experimental Type Hints for Python

• dep: python3-yaml

  YAML parser and emitter for Python3

• dep: python3.9

  Interactive high-level object-oriented language (version 3.9)

• rec: build-essential

  Informational list of build-essential packages

• rec: libtorch-dev (= 1.7.1-7)

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

• rec: ninja-build

  small build system closest in spirit to Make

• rec: pybind11-dev

  seamless operability between C++11 and Python

• sug: python3-hypothesis

  advanced Quickcheck style testing library for Python 3

• sug: python3-pytest

  Simple, powerful testing in Python3

Download python3-torch

Download for all available architectures

Architecture	Package Size	Installed Size	Files
amd64	6,014.0 kB	31,382.0 kB	[list of files]
arm64	5,298.5 kB	29,426.0 kB	[list of files]
armhf	5,111.5 kB	23,484.0 kB	[list of files]
ppc64el	5,701.0 kB	33,700.0 kB	[list of files]
s390x	5,374.6 kB	31,332.0 kB	[list of files]