~/talk

Apex

Talkat PyTorch Developer Conference 2019 · 2019-10-08..10-11· [machine-learning]
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slides:none on file

Apex is an open-source PyTorch extension that uses mixed precision (FP16 for compute, FP32 for accumulators) to exploit NVIDIA tensor cores and deliver large speedups—bandwidth-limited ops get ~2x, matrix multiply/convolution on tensor cores shows up to 8x throughput. Automatic mixed precision (AMP) requires only a few lines of Python to cast operations appropriately, preserves final accuracy comparable to FP32 without retuning, reduces memory by ~2x, and is being upstreamed into PyTorch for native support.

AI-written summary · about

  1. 0:00Introduction
  2. 0:59Why not just use FP16
  3. 1:54Mixed Precision
  4. 3:47Apex Utilities
  5. 4:24PiTorch
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