Mixed Precision in PyTorch: What autocast Changes and When It Pays Off
The four-line AMP training-loop change, the float16 vs bfloat16 decision, and the trade-offs that decide whether mixed precision actually speeds up your PyTorch training.
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The four-line AMP training-loop change, the float16 vs bfloat16 decision, and the trade-offs that decide whether mixed precision actually speeds up your PyTorch training.