Bump to WebRTC M120 release
Some API deprecation -- ExperimentalAgc and ExperimentalNs are gone. We're continuing to carry iSAC even though it's gone upstream, but maybe we'll want to drop that soon.
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webrtc/modules/audio_processing/agc2/rnn_vad/rnn_gru.h
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webrtc/modules/audio_processing/agc2/rnn_vad/rnn_gru.h
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/*
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* Copyright (c) 2020 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#ifndef MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_RNN_GRU_H_
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#define MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_RNN_GRU_H_
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#include <array>
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#include <vector>
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#include "absl/strings/string_view.h"
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#include "api/array_view.h"
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#include "modules/audio_processing/agc2/cpu_features.h"
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#include "modules/audio_processing/agc2/rnn_vad/vector_math.h"
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namespace webrtc {
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namespace rnn_vad {
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// Maximum number of units for a GRU layer.
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constexpr int kGruLayerMaxUnits = 24;
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// Recurrent layer with gated recurrent units (GRUs) with sigmoid and ReLU as
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// activation functions for the update/reset and output gates respectively.
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class GatedRecurrentLayer {
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public:
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// Ctor. `output_size` cannot be greater than `kGruLayerMaxUnits`.
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GatedRecurrentLayer(int input_size,
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int output_size,
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rtc::ArrayView<const int8_t> bias,
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rtc::ArrayView<const int8_t> weights,
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rtc::ArrayView<const int8_t> recurrent_weights,
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const AvailableCpuFeatures& cpu_features,
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absl::string_view layer_name);
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GatedRecurrentLayer(const GatedRecurrentLayer&) = delete;
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GatedRecurrentLayer& operator=(const GatedRecurrentLayer&) = delete;
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~GatedRecurrentLayer();
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// Returns the size of the input vector.
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int input_size() const { return input_size_; }
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// Returns the pointer to the first element of the output buffer.
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const float* data() const { return state_.data(); }
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// Returns the size of the output buffer.
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int size() const { return output_size_; }
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// Resets the GRU state.
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void Reset();
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// Computes the recurrent layer output and updates the status.
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void ComputeOutput(rtc::ArrayView<const float> input);
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private:
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const int input_size_;
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const int output_size_;
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const std::vector<float> bias_;
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const std::vector<float> weights_;
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const std::vector<float> recurrent_weights_;
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const VectorMath vector_math_;
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// Over-allocated array with size equal to `output_size_`.
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std::array<float, kGruLayerMaxUnits> state_;
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};
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} // namespace rnn_vad
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} // namespace webrtc
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#endif // MODULES_AUDIO_PROCESSING_AGC2_RNN_VAD_RNN_GRU_H_
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