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[Linux操作系统]Ubuntu下PyTorch环境配置详解|ubuntu配置pytorch环境,Ubuntu PyTorch 配置,Ubuntu系统下PyTorch环境一步到位配置指南

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本文详细介绍了在Ubuntu操作系统下如何配置PyTorch环境。从安装CUDA、cuDNN等依赖库开始,逐步讲解了PyTorch的安装过程,包括CPU和GPU本的区分,以及如何解决配置过程中可能遇到的问题,为开发者提供了清晰的Ubuntu PyTorch环境搭建指南。

本文目录导读:

  1. 系统要求
  2. 安装CUDA

在深度学习领域,PyTorch是一个非常受欢迎的框架,它以其灵活性和易用性著称,对于许多开发者而言,在Ubuntu操作系统上配置PyTorch环境是进行深度学习项目的前提,本文将详细介绍如何在Ubuntu上安装和配置PyTorch环境,帮助读者快速上手。

系统要求

在进行PyTorch环境配置之前,首先确保你的Ubuntu操作系统版本为18.04或更高版本,这是因为较低版本的Ubuntu可能不支持PyTorch的最新特性。

安装CUDA

PyTorch支持CPU和GPU两种模式,如果你打算使用GPU加速,就需要安装CUDA,以下是在Ubuntu上安装CUDA的步骤:

1、访问NVIDIA官方网站下载CUDA Toolkit,选择合适的版本,通常选择最新版本。

2、解压下载的CUDA Toolkit压缩包。

3、打开终端,切换到CUDA Toolkit的解压目录,运行以下命令安装CUDA:

   sudo ./cuda_XX.XX.XX_YYYY-YY-YY_linux.run

XX.XX.XX是CUDA版本号,YYYY-YY-YY是发布日期。

4、安装完成后,编辑~/.bashrc文件,添加以下环境变量:

   export PATH=/usr/local/cuda-10.0/bin${PATH:+:}
   export LD_LIBRARY=/usr/local/cuda-10.0/lib${LD_LIBRARY:=/usr/local/cuda-10.0/lib${LD_LIBRARY:=/usr/local/cuda-10.1/lib${LD_LIBRARY:=/usr/local/cuda-11.1/lib}

安装PyTorch

PyTorch的安装可以通过多种方式,以下是几种常见的安装方式:

1. 使用pip安装

若要使用pip安装PyTorch,首先确保已安装了pip和wheel,以下为安装PyTorch的命令:

   pip install torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1/torch torchvision torchaudio -f https://download.pytorch.org/whl/cu102.0.1
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Ubuntu:ubuntu2204安装nvidia显卡驱动

PyTorch环境配置:pytorch的环境配置

Ubuntu PyTorch 配置:ubuntu配置pytorch环境

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