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143
third_party/opus/dnn/nndsp.h
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143
third_party/opus/dnn/nndsp.h
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/* Copyright (c) 2023 Amazon
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Written by Jan Buethe */
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/*
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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- Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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- Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
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OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#ifndef NNDSP_H
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#define NNDSP_H
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#include "opus_types.h"
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#include "nnet.h"
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#include <string.h>
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#define ADACONV_MAX_KERNEL_SIZE 16
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#define ADACONV_MAX_INPUT_CHANNELS 2
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#define ADACONV_MAX_OUTPUT_CHANNELS 2
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#define ADACONV_MAX_FRAME_SIZE 80
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#define ADACONV_MAX_OVERLAP_SIZE 40
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#define ADACOMB_MAX_LAG 300
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#define ADACOMB_MAX_KERNEL_SIZE 16
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#define ADACOMB_MAX_FRAME_SIZE 80
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#define ADACOMB_MAX_OVERLAP_SIZE 40
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#define ADASHAPE_MAX_INPUT_DIM 512
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#define ADASHAPE_MAX_FRAME_SIZE 160
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/*#define DEBUG_NNDSP*/
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#ifdef DEBUG_NNDSP
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#include <stdio.h>
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#endif
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void print_float_vector(const char* name, const float *vec, int length);
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typedef struct {
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float history[ADACONV_MAX_KERNEL_SIZE * ADACONV_MAX_INPUT_CHANNELS];
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float last_kernel[ADACONV_MAX_KERNEL_SIZE * ADACONV_MAX_INPUT_CHANNELS * ADACONV_MAX_OUTPUT_CHANNELS];
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float last_gain;
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} AdaConvState;
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typedef struct {
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float history[ADACOMB_MAX_KERNEL_SIZE + ADACOMB_MAX_LAG];
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float last_kernel[ADACOMB_MAX_KERNEL_SIZE];
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float last_global_gain;
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int last_pitch_lag;
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} AdaCombState;
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typedef struct {
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float conv_alpha1f_state[ADASHAPE_MAX_INPUT_DIM];
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float conv_alpha1t_state[ADASHAPE_MAX_INPUT_DIM];
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float conv_alpha2_state[ADASHAPE_MAX_FRAME_SIZE];
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} AdaShapeState;
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void init_adaconv_state(AdaConvState *hAdaConv);
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void init_adacomb_state(AdaCombState *hAdaComb);
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void init_adashape_state(AdaShapeState *hAdaShape);
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void compute_overlap_window(float *window, int overlap_size);
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void adaconv_process_frame(
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AdaConvState* hAdaConv,
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float *x_out,
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const float *x_in,
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const float *features,
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const LinearLayer *kernel_layer,
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const LinearLayer *gain_layer,
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int feature_dim, /* not strictly necessary */
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int frame_size,
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int overlap_size,
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int in_channels,
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int out_channels,
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int kernel_size,
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int left_padding,
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float filter_gain_a,
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float filter_gain_b,
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float shape_gain,
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float *window,
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int arch
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);
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void adacomb_process_frame(
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AdaCombState* hAdaComb,
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float *x_out,
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const float *x_in,
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const float *features,
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const LinearLayer *kernel_layer,
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const LinearLayer *gain_layer,
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const LinearLayer *global_gain_layer,
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int pitch_lag,
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int feature_dim,
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int frame_size,
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int overlap_size,
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int kernel_size,
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int left_padding,
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float filter_gain_a,
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float filter_gain_b,
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float log_gain_limit,
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float *window,
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int arch
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);
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void adashape_process_frame(
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AdaShapeState *hAdaShape,
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float *x_out,
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const float *x_in,
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const float *features,
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const LinearLayer *alpha1f,
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const LinearLayer *alpha1t,
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const LinearLayer *alpha2,
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int feature_dim,
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int frame_size,
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int avg_pool_k,
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int arch
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);
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#endif
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