[ Fonte: pytorch-cuda ]
Pacote: python3-torch-cuda (2.6.0+dfsg-7 e outros) [contrib]
Links para python3-torch-cuda
Recursos de Debian:
- Relatórios de bug
- Informação de desenvolvedor(a)
- Debian Changelog
- Arquivo de copyright
- Rastreador de patch Debian
Baixe o pacote-fonte pytorch-cuda:
- [pytorch-cuda_2.6.0+dfsg-7.dsc]
- [pytorch-cuda_2.6.0+dfsg.orig.tar.xz]
- [pytorch-cuda_2.6.0+dfsg-7.debian.tar.xz]
Mantenedores(as):
Fontes externas:
- Pagina principal [pytorch.org]
Pacotes similares:
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 CUDA version of PyTorch (Python interface).
Outros pacotes relacionados a python3-torch-cuda
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- dep: libc6 (>= 2.38)
- GNU Biblioteca C: Bibliotecas compartilhadas
também um pacote virtual fornecido por libc6-udeb
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- dep: libcudart12
- NVIDIA CUDA Runtime Library
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- dep: libgcc-s1 (>= 3.0)
- Biblioteca de suporte GCC
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- dep: libprotobuf32t64 (>= 3.21.12)
- protocol buffers C++ library
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- dep: libpthreadpool0 (>= 0.0~git20210507.1787867~)
- pthread-based thread pool for C/C++ (shared object)
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- dep: libstdc++6 (>= 13.1)
- Biblioteca C++ padrão da GNU v3
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- dep: libtensorpipe-cuda-0 (>= 0.0~git20220513.bb1473a)
- tensor-aware point-to-point communication primitive for machine learning
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- dep: libtorch-cuda-2.6 (= 2.6.0+dfsg-7+b1)
- Tensors and Dynamic neural networks in Python (Shared Objects)
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- dep: libtorch-cuda-test (= 2.6.0+dfsg-7+b1)
- Tensors and Dynamic neural networks in Python (Test Binaries)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.13~)
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- dep: python3-expecttest
- Expect tests in Python (also known as "golden" tests)
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- dep: python3-filelock
- platform independent file locking module
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- dep: python3-fsspec
- specification that Python filesystems should adhere to (Python 3)
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- dep: python3-hypothesis
- advanced Quickcheck style testing library for Python 3
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- dep: python3-jinja2
- motor de modelos independente, pequeno, mas rápido e fácil de usar
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- dep: python3-networkx
- tool to create, manipulate and study complex networks (Python3)
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- dep: python3-numpy
- Python library for numerical computations (Python 3)
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- dep: python3-packaging
- utilitários essenciais para pacotes python3
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- dep: python3-pkg-resources
- pacote de descoberta e acesso a recursos utilizando o pkg_resources
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- dep: python3-psutil
- module providing convenience functions for managing processes (Python3)
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- dep: python3-requests
- biblioteca HTTP elegante e simples para Python3, construída para seres humanos
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- dep: python3-sympy
- Computer Algebra System (CAS) in Python (Python 3)
- ou python3-supported-max (<< 3.9)
- Pacote não disponível
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- dep: python3-typing-extensions
- Backported and Experimental Type Hints for Python
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- dep: python3-yaml
- YAML parser and emitter for Python3
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- dep: python3.13
- Interactive high-level object-oriented language (version 3.13)
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- rec: build-essential
- lista informativa de pacotes essenciais para construção
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- rec: libtorch-cuda-dev (= 2.6.0+dfsg-7+b1)
- Tensors and Dynamic neural networks in Python (Development Files)
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- rec: ninja-build
- sistema de compilação pequeno bem semelhante em espírito do Make
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- rec: pybind11-dev
- seamless operability between C++11 and Python
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- sug: python3-pytest
- Simple, powerful testing in Python3
Download de python3-torch-cuda
| Arquitetura | Versão | Tamanho do pacote | Tamanho instalado | Arquivos |
|---|---|---|---|---|
| amd64 | 2.6.0+dfsg-7+b1 | 11,056.0 kB | 66,583.0 kB | [lista de arquivos] |
| arm64 | 2.6.0+dfsg-7+b1 | 10,159.6 kB | 64,343.0 kB | [lista de arquivos] |