~/talk

Keynote

on YouTube 13m
Talkat PyTorch Developer Conference 2019 · 2019-10-08..10-11· [machine-learning]

speaker

name:Mike Schroepfer
links:none on file

resources

video:https://youtu.be/8QC0c3q9p6k
slides:none on file

summary

PyTorch 1.3 announces roughly 1,200 contributors (about 50% YOY growth) and a push from research into production at Facebook where most models now train on PyTorch. Key concrete features include three quantization modes—post-training quantization, quantization-aware training and dynamic quantization—yielding 2–4× inference speedups, named tensors for clearer dimension handling, new libraries like Krypton for privacy, Captum for explainability, Detectron2 and FairSeq, TPU GA and broad cloud support including Azure, AWS and Alibaba, plus a Portal pose detection use case.

AI-written summary · about

chapters (5)

  1. 0:00Intro
  2. 0:38Community
  3. 1:38Research
  4. 3:25Production
  5. 12:11Ecosystem

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