~/talk

uarray: Separating interface from implementation

Talkat PyData Austin 2019 · 2019-12-07..12-08· [python]
slides:none on file

Claims that NumPy must separate interface from implementation and that __array_ufunc__ and __array_function__ are insufficient, and presents a working multiple-dispatch system called uarray plus a NumPy-facing namespace unumpy. The code runs in Python with a C++ backend available, already powers SciPy FFT, and lets modules switch at runtime to backends like CuPy, Dask, PyData/Sparse, PyTorch or MXNet. The implementation works today and aims to make backend choice explicit rather than implicit.

AI-written summary · about

  1. 0:00uarray project intro
  2. 3:53NumPy history and arrays
  3. 10:14NumPy’s interface problem
  4. 16:30Multiple dispatch solution
  5. 21:49uarray’s interface separation
  6. 26:45uarray state and future
  7. 31:37Impact on users and libraries
  8. 34:25Higher-level abstractions
  9. 35:51Q&A
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