~/talk

Making PyTorch More "NumPy Compatible"

Talkat PyTorch Developer Day 2020 · on Thursday, 2020-11-12· [machine-learning]
speakerdeck:mruberry
slides:none on file

PyTorch 1.7 implements many NumPy functions and changes specific behaviors to match NumPy (for example division now does true division), adds torch.quantile, stacking helpers like hstack/vstack/dstack, FFT support exposed as torch.fft, even special functions such as the zeroth‑order modified Bessel function, and modifies over 65 operators to align with NumPy; the roadmap lists about 38 more operator changes for 1.8 plus a torch.linalg module and growing community contributors.

AI-written summary · about

  1. 0:00Introduction to the project
  2. 0:45Defining NumPy compatibility
  3. 3:32PyTorch 1.7 enhancements
  4. 4:45Future roadmap and community
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