Snap for 8622994 from f9af1b3f24d71678b7a7d33b652d114d9164d6a1 to mainline-tzdata4-release

Change-Id: I96deedf38e797412c184039e92c8527ea2918c42
tree: 074d9d68a72f04f78ca88994b4c37daca1af2f6d
  1. cmake/
  2. doc/
  3. example/
  4. ruy/
  5. third_party/
  6. .gitignore
  7. Android.bp
  8. BUILD
  9. CMakeLists.txt

The ruy matrix multiplication library

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/