Anaconda and pytorch installation configuration details

Download Anaconda

Anaconda | The World's Most Popular Data Science PlatformAnaconda is the birthplace of Python data science. We are a movement of data scientists, data-driven enterprises, and open source communities.https://www.anaconda.com/

Then configure the environment variable yourself:

Next, enter the NVIDIA Control Panel, click Help-System Information:

 You can check the driver version.

Install CUDA 11.6 here.

Install CUDA

 Start after downloading the installation package,

 

 

 

 

For testing, enter nvcc -V in the terminal and return the CUDA version number, which means the installation is successful.

Install cuDNN

Unzip the compressed package, and then add the three folders to the cuda installation directory,

Here is C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6

Paste it directly.

***Current system environment variables:

 In system variables:

Install

pytorch

PyTorchAn open source machine learning framework that accelerates the path from research prototyping to production deployment.https://pytorch.org/

 Choose according to the corresponding model version:

More model version options:

 Previous PyTorch Versions | PyTorchAn open source machine learning framework that accelerates the path from research prototyping to production deployment.https://pytorch.org/get-started/previous-versions/

Find the corresponding version installation command in it:

# CUDA 11.6
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.6 -c pytorch -c conda-forge

Note that before entering the above installation instructions, a new environment should be created first:

conda create -n name python==3.10.9

Now is to create a conda environment called pytorch:

 

 

 Enter conda info --envs to view the existing environment :

 

Switch to the created environment,

Then enter the install pytorch command:

 

 

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 The conda update method is also given here:

==> WARNING: A newer version of conda exists. <==
  current version: 23.1.0
  latest version: 23.3.1

Please update conda by running

    $ conda update -n base -c defaults conda

Or to minimize the number of packages updated during conda update use

     conda install conda=23.3.1

Just use conda update -n base -c defaults conda.

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test

Finally make a demo:

At this point, the pytorch installation is complete.