Profiling PyTorch, part 3: a deep dive into attention
Profiling in PyTorch (Part 3): Attention is all you profile
What happened
Hugging Face's “Profiling in PyTorch” series continues with a third post analyzing attention using an NVIDIA A100-SXM4-80GB profiler. It shows that a naive implementation triggers an extra memory copy. Changing `masked_fill` to its in-place form, `masked_fill_`, removes one GPU kernel per forward pass.
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