tag | 98a6c8de3955d9e833b9088e688efd6f632899cd | |
---|---|---|
tagger | The Android Open Source Project <initial-contribution@android.com> | Thu Dec 07 00:48:40 2023 -0800 |
object | c274790102b02d4626e6e96994eb29bce313dc0c |
frc_340819220 (11022343,com.google.android.captiveportallogin,com.google.android.configinfrastructure,com.google.android.scheduling)
commit | c274790102b02d4626e6e96994eb29bce313dc0c | [log] [tgz] |
---|---|---|
author | Android Build Coastguard Worker <android-build-coastguard-worker@google.com> | Thu Mar 30 01:32:54 2023 +0000 |
committer | Android Build Coastguard Worker <android-build-coastguard-worker@google.com> | Thu Mar 30 01:32:54 2023 +0000 |
tree | 074d9d68a72f04f78ca88994b4c37daca1af2f6d | |
parent | 4628497c52e20301c03b2bac0e98e19afa241089 [diff] | |
parent | 8f0e1981c3359a10fb11a3e08daab6be12b63b4d [diff] |
Snap for 9816131 from 8f0e1981c3359a10fb11a3e08daab6be12b63b4d to aml-frc-release Change-Id: Ie91e22053047f31d9b8742e34733c17b423500fc
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.