close

How to downgrade CUDA to 10.0.10 with conda, without conflicts?

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to downgrade CUDA to 10.0.10 with conda, without conflicts in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to downgrade CUDA to 10.0.10 with conda, without conflicts?

  1. How to downgrade CUDA to 10.0.10 with conda, without conflicts?

    The easiest way is to create a new environment as the conflict checker can take a long time to run.

  2. downgrade CUDA to 10.0.10 with conda, without conflicts

    The easiest way is to create a new environment as the conflict checker can take a long time to run.

Method 1

Check current version with

torch.version.cuda

I had 10.2. But I need 10.1 according to: table 1 here and my 430 NVIDIA driver installed.

Uninstall and Install

conda remove pytorch torchvision cudatoolkit

conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.1.168 -c pytorch

Say yes to everything for the above commands.

Method 2

The easiest way is to create a new environment as the conflict checker can take a long time to run.

If this is your root environment then there are ways to reset listed here How to reset anaconda root environment

Otherwise, just delete your environment and create a new one.

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

Also, Read