| # 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](doc/README.md). |
| |
