How do you manage memory and performance issues when training large generative models and what coding strategies have helped

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I was facing issue related to memory and performance of my model. Can you give me code in python showing the management of memory of large generative model?
Nov 7 in Generative AI by Ashutosh
• 5,810 points

edited Nov 7 by Ashutosh 64 views

1 answer to this question.

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In order to manage the memory and performance of Generative AI Model  implement the following code:

 

In the code above we have used gradient checkpointing , inference mode , cache clearing and variable management. These techniques make it easier to handle large models on limited hardware.

answered Nov 8 by adupati nath

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