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diff --git a/lib/rbcodec/codecs/libopus/mlp.h b/lib/rbcodec/codecs/libopus/mlp.h
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+++ b/lib/rbcodec/codecs/libopus/mlp.h
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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_ */