Your question is PyTorch Training Loop with AMP. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Walk through how you would implement a custom PyTorch training loop for a multi-modal transformer that supports gradient accumulation and mixed-precision training. Explain the order of forward pass, loss scaling, backward pass, optimizer stepping, and the main failure cases you would guard against.