Paket: python3-torch (1.7.1-7)

Länkar för python3-torch

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).

dep: libc6 (>= 2.30)

GNU C-bibliotek: Delade bibliotek
också ett virtuellt paket som tillhandahålls av libc6-udeb
dep: libgcc-s1 (>= 3.0)

GCC stödbibliotek
dep: libgloo0 (>= 0.0~git20200918.3dc0328)

Collective communications library (shared object)
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)

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

GNU standardbibliotek v3 för C++
dep: libtorch1.7 (= 1.7.1-7)

Tensors and Dynamic neural networks in Python with strong GPU acceleration
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

virtuellt paket som tillhandahålls av python3-numpy
dep: python3-pkg-resources

Package Discovery and Resource Access using pkg_resources
dep: python3-requests

elegant and simple HTTP library for Python3, built for human beings
dep: python3-six

Python 2 and 3 compatibility library (Python 3 interface)
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

Informationslista för paketen build-essential
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

Hämtningar för alla tillgängliga arkitekturer
Arkitektur	Paketstorlek	Installerad storlek	Filer
s390x	5.374,6 kbyte	31.332,0 kbyte	[filförteckning]