How to change number CPU core used to train deep learning?

4 Ansichten (letzte 30 Tage)
Lin
Lin am 10 Nov. 2020
Beantwortet: Ameer Hamza am 10 Nov. 2020
How to change the Execution Environment, number CPU core used to train deep learning model?

Melden Sie sich an, um diese Frage zu beantworten.

Akzeptierte Antwort

Ameer Hamza
Ameer Hamza am 10 Nov. 2020
Are you training using trainNetwork() function? If yes, then the function accepts an input "options". You can define the option using trainingoptions(): https://www.mathworks.com/help/releases/R2020b/deeplearning/ref/trainingoptions.html function. In the trainingoptions, there is a Name-Value pair called 'ExecutionEnvironment', you can set it to 'parallel' and it will use the number of cores according to your cluster profile. I guess you will need a parallel Computing toolbox for this. Read here on how to configure the cluster profile: https://www.mathworks.com/help/parallel-computing/discover-clusters-and-use-cluster-profiles.html

Weitere Antworten (0)

Kategorien

Mehr zu Statistics and Machine Learning Toolbox finden Sie in Help Center und File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by