How do I fix a CUDA out of memory error in PyTorch?

I'm getting a CUDA out of memory error when I try to train my model in PyTorch. What should I do?

This error usually means that your GPU doesn't have enough memory to handle the current batch size. You can try reducing the batch size or optimizing your model.

How do I reduce the batch size in my training loop?

You can change the batch size in your DataLoader. For example, if you have DataLoader(dataset, batch_size=64), try changing it to batch_size=32 or even lower.

Are there any other ways to manage GPU memory?

Yes, you can also try using torch.cuda.empty_cache() to free up unused memory, or consider using mixed precision training with torch.cuda.amp.

What if I still encounter memory issues after these changes?

If you still face issues, consider profiling your model to identify memory bottlenecks or using gradient accumulation to simulate a larger batch size without increasing memory usage.