Snap for 7205268 from bf8748dc2397c58b711ef661bc5607966aa1bad5 to sc-d1-release

Change-Id: I43fe81da673f276eecee1184bb6e124c308afa61
tree: 3205fa4f087c9bf433c259269313fc25c821a0ee
  1. cmake/
  2. doc/
  3. example/
  4. ruy/
  5. third_party/
  6. .gitignore
  7. .gitmodules
  8. Android.bp
  9. BUILD
  10. CMakeLists.txt
  11. CONTRIBUTING.md
  12. LICENSE
  13. README.md
  14. WORKSPACE
README.md

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.

Efficiency

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.

Documentation

Some documentation will eventually be available in the doc/ directory, see doc/README.md.