What are some common errors in PyTorch and how can I fix them?

What are some common errors I might encounter while using PyTorch?

Some common errors in PyTorch include shape mismatches, CUDA out of memory errors, and index errors. Would you like to know how to fix any specific one?

Yes, I often get a CUDA out of memory error. What should I do?

The CUDA out of memory error usually occurs when your GPU runs out of memory. You can try reducing the batch size, clearing the cache with torch.cuda.empty_cache(), or using a smaller model.

What about shape mismatches? How can I avoid those?

Shape mismatches often happen when the input tensor dimensions don't match the expected dimensions of the model. Always check the input shapes and ensure they align with the model's requirements.

Thanks! Are there any tools to help debug these errors?

Yes, you can use tools like PyTorch's built-in debugging features, TensorBoard for visualizing model training, and the assert statement to check tensor shapes during development.