BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Allsikt//Article Deadline//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:402f2e81635e9540ff10bc3159fc0a8210d9839d@allsikt.tech
DTSTAMP:20260721T171632Z
DTSTART;VALUE=DATE:20260721
DTEND;VALUE=DATE:20260722
SUMMARY:Back to Articles Profiling in PyTorch (Part 3): Attention is all you profile
DESCRIPTION:Run the in‑place masked_fill_ version of your attention modules and benchmark with torch.profiler to eliminate the Memcpy kernel and reduce per‑layer latency.\n\nSource: Hugging Face Blog\nOpen: https://allsikt.se/article/back-to-articles-profiling-in-pytorch-part-3-attention-is-all-you-profile-39b7485f
URL:https://allsikt.se/article/back-to-articles-profiling-in-pytorch-part-3-attention-is-all-you-profile-39b7485f
STATUS:CONFIRMED
TRANSP:TRANSPARENT
END:VEVENT
END:VCALENDAR