Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch

Introduction In this article, we will be exploring 9 easily-accessible techniques to reduce memory usage in PyTorch. These techniques are cumulative, meaning we can apply them on top of one another. We will begin working with a vision transformer from PyTorch’s Torchvision library to provide simple code examples that you can execute on your own... Read more »

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