Paket: python3-torch (2.6.0+dfsg-1~exp1)

[ Källkod: pytorch  ]

Experimentellt paket

Varning: Paketet är från den experimentella utgåvan. Det innebär att det med stor sannolikhet är instabilt eller innehåller fel, och kanske till och med kan orsaka dataförluster. Se till att läsa ändringsloggen och annan dokumentation innan du använder det.

Tensors and Dynamic neural networks in Python (Python Interface)

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 (Python interface).

Andra paket besläktade med python3-torch

• dep: libc6 (>= 2.38)

  GNU C-bibliotek: Delade bibliotek
  också ett virtuellt paket som tillhandahålls av libc6-udeb

• dep: libcpp-httplib0.16 (>= 0.16.3+ds)

  C++ HTTP/HTTPS server and client library

• dep: libgcc-s1 (>= 3.0)

  GCC stödbibliotek

• dep: libopenmpi40 (>= 5.0.6)

  high performance message passing library -- shared library

• dep: libprotobuf32t64 (>= 3.21.12)

  protocol buffers C++ library

• dep: libstdc++6 (>= 14)

  GNU standardbibliotek v3 för C++

• dep: libtensorpipe0 (>= 0.0~git20220513.bb1473a)

  tensor-aware point-to-point communication primitive for machine learning

• dep: libtorch-test (= 2.6.0+dfsg-1~exp1)

  Tensors and Dynamic neural networks in Python (Test Binaries)

• dep: libtorch2.6 (= 2.6.0+dfsg-1~exp1)

  Tensors and Dynamic neural networks in Python (Shared Objects)

• dep: python3

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

  dep: python3 (<< 3.14)

  dep: python3 (>= 3.13~)

• dep: python3-expecttest

  Expect tests in Python (also known as "golden" tests)

• dep: python3-filelock

  platform independent file locking module

• dep: python3-fsspec

  specification that Python filesystems should adhere to (Python 3)

• dep: python3-hypothesis

  advanced Quickcheck style testing library for Python 3

• dep: python3-jinja2

  small but fast and easy to use stand-alone template engine

• dep: python3-networkx

  tool to create, manipulate and study complex networks (Python3)

• dep: python3-numpy

  Python library for numerical computations (Python 3)

• dep: python3-numpy2-abi0

  Paketet inte tillgängligt

  eller python3-numpy-abi9

  Paketet inte tillgängligt

• dep: python3-packaging

  core utilities for python3 packages

• dep: python3-pkg-resources

  Package Discovery and Resource Access using pkg_resources

• dep: python3-psutil

  module providing convenience functions for managing processes (Python3)

• dep: python3-requests

  elegant and simple HTTP library for Python3, built for human beings

• dep: python3-sympy

  Computer Algebra System (CAS) in Python (Python 3)

  eller python3-supported-max (<< 3.9)

  Paketet inte tillgängligt

• dep: python3-typing-extensions

  Backported and Experimental Type Hints for Python

• dep: python3-yaml

  YAML parser and emitter for Python3

• dep: python3.13

  Interactive high-level object-oriented language (version 3.13)

• rec: build-essential

  Informationslista för paketen build-essential

• rec: libtorch-dev (= 2.6.0+dfsg-1~exp1)

  Tensors and Dynamic neural networks in Python (Development Files)

• rec: ninja-build

  small build system closest in spirit to Make

• rec: pybind11-dev

  seamless operability between C++11 and Python

• sug: python3-pytest

  Simple, powerful testing in Python3

Hämta python3-torch

Hämtningar för alla tillgängliga arkitekturer

Arkitektur	Paketstorlek	Installerad storlek	Filer
s390x	10.604,5 kbyte	65.229,0 kbyte	[filförteckning]