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- /* Copyright (c) 2017 Jean-Marc Valin */
- /*
- Redistribution and use in source and binary forms, with or without
- modification, are permitted provided that the following conditions
- are met:
- - Redistributions of source code must retain the above copyright
- notice, this list of conditions and the following disclaimer.
- - Redistributions in binary form must reproduce the above copyright
- notice, this list of conditions and the following disclaimer in the
- documentation and/or other materials provided with the distribution.
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
- ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
- LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
- A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
- CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
- EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
- PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
- PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
- LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
- NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- */
- #ifndef _MLP_H_
- #define _MLP_H_
- #include "opus_types.h"
- #define WEIGHTS_SCALE (1.f/128)
- #define MAX_NEURONS 32
- typedef struct {
- const opus_int8 *bias;
- const opus_int8 *input_weights;
- int nb_inputs;
- int nb_neurons;
- int sigmoid;
- } DenseLayer;
- typedef struct {
- const opus_int8 *bias;
- const opus_int8 *input_weights;
- const opus_int8 *recurrent_weights;
- int nb_inputs;
- int nb_neurons;
- } GRULayer;
- extern const DenseLayer layer0;
- extern const GRULayer layer1;
- extern const DenseLayer layer2;
- void compute_dense(const DenseLayer *layer, float *output, const float *input);
- void compute_gru(const GRULayer *gru, float *state, const float *input);
- #endif /* _MLP_H_ */
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