Should I use GPU or CPU for PyTorch?

What are the main differences between using a GPU and a CPU for PyTorch?

GPUs are optimized for parallel processing, making them faster for training large models, while CPUs are better for general tasks.

When should I choose to use a CPU instead of a GPU?

You might choose a CPU for smaller models, debugging, or when GPU resources are limited.

How can I check if my PyTorch is using the GPU?

You can check by using torch.cuda.is_available() to see if a GPU is accessible.

Are there any specific models that perform better on GPU?

Yes, deep learning models like CNNs and RNNs typically perform significantly better on GPUs due to their parallel nature.