rnnoise-modelim / src /parse_lpcnet_weights.c

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/* Copyright (c) 2023 Amazon */
/*
   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.
*/

#ifdef HAVE_CONFIG_H
#include "config.h"
#endif

#include <string.h>
#include <stdlib.h>
#include "nnet.h"

#define SPARSE_BLOCK_SIZE 32

static int parse_record(const void **data, int *len, WeightArray *array) {
  WeightHead *h = (WeightHead *)*data;
  if (*len < WEIGHT_BLOCK_SIZE) return -1;
  if (h->block_size < h->size) return -1;
  if (h->block_size > *len-WEIGHT_BLOCK_SIZE) return -1;
  if (h->name[sizeof(h->name)-1] != 0) return -1;
  if (h->size < 0) return -1;
  array->name = h->name;
  array->type = h->type;
  array->size = h->size;
  array->data = (void*)((unsigned char*)(*data)+WEIGHT_BLOCK_SIZE);

  *data = (void*)((unsigned char*)*data + h->block_size+WEIGHT_BLOCK_SIZE);
  *len -= h->block_size+WEIGHT_BLOCK_SIZE;
  return array->size;
}

int parse_weights(WeightArray **list, const void *data, int len)
{
  int nb_arrays=0;
  int capacity=20;
  *list = calloc(capacity*sizeof(WeightArray), 1);
  while (len > 0) {
    int ret;
    WeightArray array = {NULL, 0, 0, 0};
    ret = parse_record(&data, &len, &array);
    if (ret > 0) {
      if (nb_arrays+1 >= capacity) {
        /* Make sure there's room for the ending NULL element too. */
        capacity = capacity*3/2;
        *list = realloc(*list, capacity*sizeof(WeightArray));
      }
      (*list)[nb_arrays++] = array;
    } else {
      free(*list);
      *list = NULL;
      return -1;
    }
  }
  (*list)[nb_arrays].name=NULL;
  return nb_arrays;
}

static const void *find_array_entry(const WeightArray *arrays, const char *name) {
  while (arrays->name && strcmp(arrays->name, name) != 0) arrays++;
  return arrays;
}

static const void *find_array_check(const WeightArray *arrays, const char *name, int size) {
  const WeightArray *a = find_array_entry(arrays, name);
  if (a->name && a->size == size) return a->data;
  else return NULL;
}

static const void *opt_array_check(const WeightArray *arrays, const char *name, int size, int *error) {
  const WeightArray *a = find_array_entry(arrays, name);
  *error = (a->name != NULL && a->size != size);
  if (a->name && a->size == size) return a->data;
  else return NULL;
}

static const void *find_idx_check(const WeightArray *arrays, const char *name, int nb_in, int nb_out, int *total_blocks) {
  int remain;
  const int *idx;
  const WeightArray *a = find_array_entry(arrays, name);
  *total_blocks = 0;
  if (a == NULL) return NULL;
  idx = a->data;
  remain = a->size/sizeof(int);
  while (remain > 0) {
    int nb_blocks;
    int i;
    nb_blocks = *idx++;
    if (remain < nb_blocks+1) return NULL;
    for (i=0;i<nb_blocks;i++) {
      int pos = *idx++;
      if (pos+3 >= nb_in || (pos&0x3)) return NULL;
    }
    nb_out -= 8;
    remain -= nb_blocks+1;
    *total_blocks += nb_blocks;
  }
  if (nb_out != 0) return NULL;
  return a->data;
}

int linear_init(LinearLayer *layer, const WeightArray *arrays,
  const char *bias,
  const char *subias,
  const char *weights,
  const char *float_weights,
  const char *weights_idx,
  const char *diag,
  const char *scale,
  int nb_inputs,
  int nb_outputs)
{
  int err;
  layer->bias = NULL;
  layer->subias = NULL;
  layer->weights = NULL;
  layer->float_weights = NULL;
  layer->weights_idx = NULL;
  layer->diag = NULL;
  layer->scale = NULL;
  if (bias != NULL) {
    if ((layer->bias = find_array_check(arrays, bias, nb_outputs*sizeof(layer->bias[0]))) == NULL) return 1;
  }
  if (subias != NULL) {
    if ((layer->subias = find_array_check(arrays, subias, nb_outputs*sizeof(layer->subias[0]))) == NULL) return 1;
  }
  if (weights_idx != NULL) {
    int total_blocks;
    if ((layer->weights_idx = find_idx_check(arrays, weights_idx, nb_inputs, nb_outputs, &total_blocks)) == NULL) return 1;
    if (weights != NULL) {
      if ((layer->weights = find_array_check(arrays, weights, SPARSE_BLOCK_SIZE*total_blocks*sizeof(layer->weights[0]))) == NULL) return 1;
    }
    if (float_weights != NULL) {
      layer->float_weights = opt_array_check(arrays, float_weights, SPARSE_BLOCK_SIZE*total_blocks*sizeof(layer->float_weights[0]), &err);
      if (err) return 1;
    }
  } else {
    if (weights != NULL) {
      if ((layer->weights = find_array_check(arrays, weights, nb_inputs*nb_outputs*sizeof(layer->weights[0]))) == NULL) return 1;
    }
    if (float_weights != NULL) {
      layer->float_weights = opt_array_check(arrays, float_weights, nb_inputs*nb_outputs*sizeof(layer->float_weights[0]), &err);
      if (err) return 1;
    }
  }
  if (diag != NULL) {
    if ((layer->diag = find_array_check(arrays, diag, nb_outputs*sizeof(layer->diag[0]))) == NULL) return 1;
  }
  if (weights != NULL) {
    if ((layer->scale = find_array_check(arrays, scale, nb_outputs*sizeof(layer->scale[0]))) == NULL) return 1;
  }
  layer->nb_inputs = nb_inputs;
  layer->nb_outputs = nb_outputs;
  return 0;
}

int conv2d_init(Conv2dLayer *layer, const WeightArray *arrays,
  const char *bias,
  const char *float_weights,
  int in_channels,
  int out_channels,
  int ktime,
  int kheight)
{
  int err;
  layer->bias = NULL;
  layer->float_weights = NULL;
  if (bias != NULL) {
    if ((layer->bias = find_array_check(arrays, bias, out_channels*sizeof(layer->bias[0]))) == NULL) return 1;
  }
  if (float_weights != NULL) {
    layer->float_weights = opt_array_check(arrays, float_weights, in_channels*out_channels*ktime*kheight*sizeof(layer->float_weights[0]), &err);
    if (err) return 1;
  }
  layer->in_channels = in_channels;
  layer->out_channels = out_channels;
  layer->ktime = ktime;
  layer->kheight = kheight;
  return 0;
}



#if 0
#include <fcntl.h>
#include <sys/mman.h>
#include <unistd.h>
#include <sys/stat.h>
#include <stdio.h>

int main()
{
  int fd;
  void *data;
  int len;
  int nb_arrays;
  int i;
  WeightArray *list;
  struct stat st;
  const char *filename = "weights_blob.bin";
  stat(filename, &st);
  len = st.st_size;
  fd = open(filename, O_RDONLY);
  data = mmap(NULL, len, PROT_READ, MAP_SHARED, fd, 0);
  printf("size is %d\n", len);
  nb_arrays = parse_weights(&list, data, len);
  for (i=0;i<nb_arrays;i++) {
    printf("found %s: size %d\n", list[i].name, list[i].size);
  }
  printf("%p\n", list[i].name);
  free(list);
  munmap(data, len);
  close(fd);
  return 0;
}
#endif

	/* Copyright (c) 2023 Amazon */
	/*
	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.
	*/

	#ifdef HAVE_CONFIG_H
	#include "config.h"
	#endif

	#include <string.h>
	#include <stdlib.h>
	#include "nnet.h"

	#define SPARSE_BLOCK_SIZE 32

	static int parse_record(const void *data, int len, WeightArray *array) {
	WeightHead h = (WeightHead )*data;
	if (*len < WEIGHT_BLOCK_SIZE) return -1;
	if (h->block_size < h->size) return -1;
	if (h->block_size > *len-WEIGHT_BLOCK_SIZE) return -1;
	if (h->name[sizeof(h->name)-1] != 0) return -1;
	if (h->size < 0) return -1;
	array->name = h->name;
	array->type = h->type;
	array->size = h->size;
	array->data = (void)((unsigned char)(*data)+WEIGHT_BLOCK_SIZE);

	data = (void)((unsigned char)data + h->block_size+WEIGHT_BLOCK_SIZE);
	*len -= h->block_size+WEIGHT_BLOCK_SIZE;
	return array->size;
	}

	int parse_weights(WeightArray *list, const void data, int len)
	{
	int nb_arrays=0;
	int capacity=20;
	list = calloc(capacitysizeof(WeightArray), 1);
	while (len > 0) {
	int ret;
	WeightArray array = {NULL, 0, 0, 0};
	ret = parse_record(&data, &len, &array);
	if (ret > 0) {
	if (nb_arrays+1 >= capacity) {
	/* Make sure there's room for the ending NULL element too. */
	capacity = capacity*3/2;
	list = realloc(list, capacity*sizeof(WeightArray));
	}
	(*list)[nb_arrays++] = array;
	} else {
	free(*list);
	*list = NULL;
	return -1;
	}
	}
	(*list)[nb_arrays].name=NULL;
	return nb_arrays;
	}

	static const void find_array_entry(const WeightArray arrays, const char *name) {
	while (arrays->name && strcmp(arrays->name, name) != 0) arrays++;
	return arrays;
	}

	static const void find_array_check(const WeightArray arrays, const char *name, int size) {
	const WeightArray *a = find_array_entry(arrays, name);
	if (a->name && a->size == size) return a->data;
	else return NULL;
	}

	static const void opt_array_check(const WeightArray arrays, const char name, int size, int error) {
	const WeightArray *a = find_array_entry(arrays, name);
	*error = (a->name != NULL && a->size != size);
	if (a->name && a->size == size) return a->data;
	else return NULL;
	}

	static const void find_idx_check(const WeightArray arrays, const char name, int nb_in, int nb_out, int total_blocks) {
	int remain;
	const int *idx;
	const WeightArray *a = find_array_entry(arrays, name);
	*total_blocks = 0;
	if (a == NULL) return NULL;
	idx = a->data;
	remain = a->size/sizeof(int);
	while (remain > 0) {
	int nb_blocks;
	int i;
	nb_blocks = *idx++;
	if (remain < nb_blocks+1) return NULL;
	for (i=0;i<nb_blocks;i++) {
	int pos = *idx++;
	if (pos+3 >= nb_in \|\| (pos&0x3)) return NULL;
	}
	nb_out -= 8;
	remain -= nb_blocks+1;
	*total_blocks += nb_blocks;
	}
	if (nb_out != 0) return NULL;
	return a->data;
	}

	int linear_init(LinearLayer layer, const WeightArray arrays,
	const char *bias,
	const char *subias,
	const char *weights,
	const char *float_weights,
	const char *weights_idx,
	const char *diag,
	const char *scale,
	int nb_inputs,
	int nb_outputs)
	{
	int err;
	layer->bias = NULL;
	layer->subias = NULL;
	layer->weights = NULL;
	layer->float_weights = NULL;
	layer->weights_idx = NULL;
	layer->diag = NULL;
	layer->scale = NULL;
	if (bias != NULL) {
	if ((layer->bias = find_array_check(arrays, bias, nb_outputs*sizeof(layer->bias[0]))) == NULL) return 1;
	}
	if (subias != NULL) {
	if ((layer->subias = find_array_check(arrays, subias, nb_outputs*sizeof(layer->subias[0]))) == NULL) return 1;
	}
	if (weights_idx != NULL) {
	int total_blocks;
	if ((layer->weights_idx = find_idx_check(arrays, weights_idx, nb_inputs, nb_outputs, &total_blocks)) == NULL) return 1;
	if (weights != NULL) {
	if ((layer->weights = find_array_check(arrays, weights, SPARSE_BLOCK_SIZEtotal_blockssizeof(layer->weights[0]))) == NULL) return 1;
	}
	if (float_weights != NULL) {
	layer->float_weights = opt_array_check(arrays, float_weights, SPARSE_BLOCK_SIZEtotal_blockssizeof(layer->float_weights[0]), &err);
	if (err) return 1;
	}
	} else {
	if (weights != NULL) {
	if ((layer->weights = find_array_check(arrays, weights, nb_inputsnb_outputssizeof(layer->weights[0]))) == NULL) return 1;
	}
	if (float_weights != NULL) {
	layer->float_weights = opt_array_check(arrays, float_weights, nb_inputsnb_outputssizeof(layer->float_weights[0]), &err);
	if (err) return 1;
	}
	}
	if (diag != NULL) {
	if ((layer->diag = find_array_check(arrays, diag, nb_outputs*sizeof(layer->diag[0]))) == NULL) return 1;
	}
	if (weights != NULL) {
	if ((layer->scale = find_array_check(arrays, scale, nb_outputs*sizeof(layer->scale[0]))) == NULL) return 1;
	}
	layer->nb_inputs = nb_inputs;
	layer->nb_outputs = nb_outputs;
	return 0;
	}

	int conv2d_init(Conv2dLayer layer, const WeightArray arrays,
	const char *bias,
	const char *float_weights,
	int in_channels,
	int out_channels,
	int ktime,
	int kheight)
	{
	int err;
	layer->bias = NULL;
	layer->float_weights = NULL;
	if (bias != NULL) {
	if ((layer->bias = find_array_check(arrays, bias, out_channels*sizeof(layer->bias[0]))) == NULL) return 1;
	}
	if (float_weights != NULL) {
	layer->float_weights = opt_array_check(arrays, float_weights, in_channelsout_channelsktimekheightsizeof(layer->float_weights[0]), &err);
	if (err) return 1;
	}
	layer->in_channels = in_channels;
	layer->out_channels = out_channels;
	layer->ktime = ktime;
	layer->kheight = kheight;
	return 0;
	}



	#if 0
	#include <fcntl.h>
	#include <sys/mman.h>
	#include <unistd.h>
	#include <sys/stat.h>
	#include <stdio.h>

	int main()
	{
	int fd;
	void *data;
	int len;
	int nb_arrays;
	int i;
	WeightArray *list;
	struct stat st;
	const char *filename = "weights_blob.bin";
	stat(filename, &st);
	len = st.st_size;
	fd = open(filename, O_RDONLY);
	data = mmap(NULL, len, PROT_READ, MAP_SHARED, fd, 0);
	printf("size is %d\n", len);
	nb_arrays = parse_weights(&list, data, len);
	for (i=0;i<nb_arrays;i++) {
	printf("found %s: size %d\n", list[i].name, list[i].size);
	}
	printf("%p\n", list[i].name);
	free(list);
	munmap(data, len);
	close(fd);
	return 0;
	}
	#endif