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/*
* Copyright (c) 2021 Arm Limited. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef RNNOISE_MODEL_HPP
#define RNNOISE_MODEL_HPP
#include "Model.hpp"
namespace arm {
namespace app {
namespace rnn {
extern const uint32_t g_NumInputFeatures;
extern const uint32_t g_FrameLength;
extern const uint32_t g_FrameStride;
} /* namespace rnn */
class RNNoiseModel : public Model {
public:
/**
* @brief Runs inference for RNNoise model.
*
* Call CopyGruStates so GRU state outputs are copied to GRU state inputs before the inference run.
* Run ResetGruState() method to set states to zero before starting processing logically related data.
* @return True if inference succeeded, False - otherwise
*/
bool RunInference() override;
/**
* @brief Sets GRU input states to zeros.
* Call this method before starting processing the new sequence of logically related data.
*/
void ResetGruState();
/**
* @brief Copy current GRU output states to input states.
* Call this method before starting processing the next sequence of logically related data.
*/
bool CopyGruStates();
/* Which index of model outputs does the main output (gains) come from. */
const size_t m_indexForModelOutput = 1;
protected:
/** @brief Gets the reference to op resolver interface class. */
const tflite::MicroOpResolver& GetOpResolver() override;
/** @brief Adds operations to the op resolver instance. */
bool EnlistOperations() override;
/*
Each inference after the first needs to copy 3 GRU states from a output index to input index (model dependent):
0 -> 3, 2 -> 2, 3 -> 1
*/
const std::vector<std::pair<size_t, size_t>> m_gruStateMap = {{0,3}, {2, 2}, {3, 1}};
private:
/* Maximum number of individual operations that can be enlisted. */
static constexpr int ms_maxOpCnt = 15;
/* A mutable op resolver instance. */
tflite::MicroMutableOpResolver<ms_maxOpCnt> m_opResolver;
};
} /* namespace app */
} /* namespace arm */
#endif /* RNNOISE_MODEL_HPP */
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