Alessio Bazzica b81ab995a2 RNN VAD: Optimize GRU (recurrent) weights optimized layout
This CL adds the GRU weights memory layout optimization with which it
will be easier to add SSE2 code in a follow up CL. The new memory
layout also improves the performance of the unoptimized code.

This CL also includes a bug fix in the GRU layer input validation.
It was a silent bug since the GRU layer of the RNN VAD has the same
input and output size. This was caught by changing memory layout of
the recurrent weights. The unit test has been adapted by removing the
unused recurrent weights (the expected result does not change).

Bug: webrtc:10480
Change-Id: Ia1551abde4cb24aa7e109c4447e0fffe7c839077
Reviewed-on: https://webrtc-review.googlesource.com/c/src/+/142177
Commit-Queue: Alessio Bazzica <alessiob@webrtc.org>
Reviewed-by: Gustaf Ullberg <gustaf@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#29717}
2019-11-06 21:51:07 +00:00
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2018-07-23 15:28:48 +00:00
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WebRTC is a free, open software project that provides browsers and mobile applications with Real-Time Communications (RTC) capabilities via simple APIs. The WebRTC components have been optimized to best serve this purpose.

Our mission: To enable rich, high-quality RTC applications to be developed for the browser, mobile platforms, and IoT devices, and allow them all to communicate via a common set of protocols.

The WebRTC initiative is a project supported by Google, Mozilla and Opera, amongst others.

Development

See http://www.webrtc.org/native-code/development for instructions on how to get started developing with the native code.

Authoritative list of directories that contain the native API header files.

More info

Description
The idea is to make CMake build for WebRTC m130 version - for audio processing module
Readme BSD-3-Clause 446 MiB
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