How do I resolve CUDA out of memory errors during model training on an 8GB GPU

Question

Can i know How do I resolve CUDA out of memory errors during model training on an 8GB GPU?

Answer 1

To resolve CUDA out-of-memory errors during model training on an 8GB GPU, you can reduce the batch size, use mixed precision training, and clear the GPU memory between iterations. Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Reduce batch size to fit the model into memory.
• Use mixed precision (float16) to save memory.
• Clear GPU memory with torch.cuda.empty_cache() after each iteration.