|author||android-build-team Robot <firstname.lastname@example.org>||Thu Mar 18 01:05:37 2021 +0000|
|committer||android-build-team Robot <email@example.com>||Thu Mar 18 01:05:37 2021 +0000|
Snap for 7216111 from 033350c4252004f65e85e8d547b473ae28ebd158 to sc-d1-release Change-Id: I2605cfdc3288186c67b72d65cc9df14a858ae2d0
This is not an officially supported Google product.
ruy is a matrix multiplication library. Its focus is to cover the matrix multiplication needs of neural network inference engines. Its initial user has been TensorFlow Lite, where it is used by default on the ARM CPU architecture.
ruy supports both floating-point and 8bit-integer-quantized matrices.
ruy is designed to achieve high performance not just on very large sizes, as is the focus of many established libraries, but on whatever are the actual sizes and shapes of matrices most critical in current TensorFlow Lite applications. This often means quite small sizes, e.g. 100x100 or even 50x50, and all sorts of rectangular shapes. It's not as fast as completely specialized code for each shape, but it aims to offer a good compromise of speed across all shapes and a small binary size.
Some documentation will eventually be available in the doc/ directory, see doc/README.md.