Windows 下安装 CUDA 和 Pytorch 跑深度学习

• 一、安装cuda 11.3
• • 1.1 download cuda 11.3
  • 1.2 双击解压
  • 1.3 测完安装是否成功
• 二、安装Anaconda
• • 2.1 下载安装
  • 2.2 查看python版本
• 三、安装Pytorch
• • 3.1 安装
  • 3.2 安装jupyter d2l包
  • 3.3 启动jupyter

dxdiag

有独立显卡，支持安装。

参考：《动手学深度学习v2》

Installed:
     - Nsight Monitor
Not Installed:
     - Nsight for Visual Studio 2019
       Reason: VS2019 was not found
     - Nsight for Visual Studio 2017
       Reason: VS2017 was not found
     - Integrated Graphics Frame Debugger and Profiler
       Reason: see https://developer.nvidia.com/nsight-vstools
     - Integrated CUDA Profilers
       Reason: see https://developer.nvidia.com/nsight-vstools

nvidia-smi

官网：https://www.anaconda.com/

python --version

去pytorch.org下载它的GPU版本：https://pytorch.org/

pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113

安装完成后测试一下，cuda 安装是否成功

pip isntall jupyter d2l

jupyter notebook