Saul Shanabrook
Working on e-graphs in Python currently. Interested in cross library collaboration in the Python data science ecosystem.
Session
07-14
11:25
30min
Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem
Ralf Gommers, Stephannie Jimenez Gacha, Leo Fang, Saul Shanabrook, Travis Oliphant, Matthew Barber, Aaron Meurer, Thomas J. Fan, John Kirkham, Stephan Hoyer, Tyler Reddy, Andreas Mueller, Athan Reines, Mario, Alexandre Passos
The array API standard (https://data-apis.org/array-api/) is a common specification for Python array libraries, such as NumPy, PyTorch, CuPy, Dask, and JAX.
This standard will make it straightforward for array-consuming libraries, like scikit-learn and SciPy, to write code that uniformly supports all of these libraries. This will allow, for instance, running the same code on the CPU and GPU.
This talk will cover the scope of the array API standard, supporting tooling which includes a library-independent test suite and compatibility layer, what work has been completed so far, and the plans going forward.
General Track
Amphitheater 204