Пакет: python3-torch (2.6.0+dfsg-7)

Връзки за python3-torch

Ресурси за Debian:

Изтегляне на пакет-източник pytorch.

Отговорници:

Външни препратки:

Начална страница [pytorch.org]

Подобни пакети:

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).

Други пакети, свързани с python3-torch

зависимости

препоръчани

предложени

enhances

dep: libc6 (>= 2.38)

GNU C Library: Shared libraries
също и виртуален пакет, предлаган от libc6-udeb
dep: libgcc-s1 (>= 3.0) [не riscv64]

GCC support library

dep: libgcc-s1 (>= 3.4) [riscv64]
dep: libopenmpi40 (>= 5.0.7)

high performance message passing library -- shared library
dep: libprotobuf32t64 (>= 3.21.12)

protocol buffers C++ library
dep: libpthreadpool0 (>= 0.0~git20210507.1787867~) [amd64, arm64]

pthread-based thread pool for C/C++ (shared object)
dep: libstdc++6 (>= 14)

GNU Standard C++ Library v3
dep: libtensorpipe0 (>= 0.0~git20220513.bb1473a)

tensor-aware point-to-point communication primitive for machine learning
dep: libtorch-test (= 2.6.0+dfsg-7)

Tensors and Dynamic neural networks in Python (Test Binaries)
dep: libtorch2.6 (= 2.6.0+dfsg-7)

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-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)

или python3-supported-max (<< 3.9)

Пакетът не е наличен
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

Informational list of build-essential packages
rec: libtorch-dev (= 2.6.0+dfsg-7)

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

Изтегляне на python3-torch

Изтегляне за всички налични архитектури
Архитектура	Големина на пакета	Големина след инсталиране	Файлове
amd64	11 154,7 кБ	66 796,0 кБ	[списък на файловете]
arm64	10 269,1 кБ	65 149,0 кБ	[списък на файловете]
ppc64el	10 593,3 кБ	69 373,0 кБ	[списък на файловете]
riscv64	10 871,4 кБ	60 760,0 кБ	[списък на файловете]
s390x	10 656,1 кБ	65 868,0 кБ	[списък на файловете]