How does PyTorch handle mixed precision overflow detection?

GradScaler detects overflow by checking for inf/nan gradients after scaling.

During AMP training, gradients may overflow FP16 range. GradScaler monitors gradient values after unscale and reduces scaling factor if overflow is detected, ensuring numerical stability.