locallaplaciancl.c

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/*
    This file is part of darktable,
    Copyright (C) 2016-2017 johannes hanika.
    Copyright (C) 2017 Ulrich Pegelow.
    Copyright (C) 2019-2020 Aurélien PIERRE.
    Copyright (C) 2020 Heiko Bauke.
    Copyright (C) 2020 Pascal Obry.
    Copyright (C) 2021 Chris Elston.
    Copyright (C) 2022 Hanno Schwalm.
    Copyright (C) 2022 Martin Bařinka.
    
    darktable is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.
    
    darktable is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.
    
    You should have received a copy of the GNU General Public License
    along with darktable.  If not, see <http://www.gnu.org/licenses/>.
*/
#ifdef HAVE_OPENCL
#include "common/darktable.h"
#include "common/opencl.h"
#include "common/locallaplaciancl.h"
 
#define max_levels 30
#define num_gamma 6
 
// downsample width/height to given level
static inline uint64_t dl(uint64_t size, const int level)
{
  for(int l=0;l<level;l++)
    size = (size-1)/2+1;
  return size;
}
 
dt_local_laplacian_cl_global_t *dt_local_laplacian_init_cl_global()
{
  dt_local_laplacian_cl_global_t *g = malloc(sizeof(dt_local_laplacian_cl_global_t));
 
  const int program = 19; // locallaplacian.cl, from programs.conf
  g->kernel_pad_input          = dt_opencl_create_kernel(program, "pad_input");
  g->kernel_gauss_expand       = dt_opencl_create_kernel(program, "gauss_expand");
  g->kernel_gauss_reduce       = dt_opencl_create_kernel(program, "gauss_reduce");
  g->kernel_laplacian_assemble = dt_opencl_create_kernel(program, "laplacian_assemble");
  g->kernel_process_curve      = dt_opencl_create_kernel(program, "process_curve");
  g->kernel_write_back         = dt_opencl_create_kernel(program, "write_back");
  return g;
}
 
void dt_local_laplacian_free_cl_global(dt_local_laplacian_cl_global_t *g)
{
  if(IS_NULL_PTR(g)) return;
 
  dt_opencl_free_kernel(g->kernel_pad_input);
  dt_opencl_free_kernel(g->kernel_gauss_expand);
  dt_opencl_free_kernel(g->kernel_gauss_reduce);
  dt_opencl_free_kernel(g->kernel_laplacian_assemble);
  dt_opencl_free_kernel(g->kernel_process_curve);
  dt_opencl_free_kernel(g->kernel_write_back);
 
  dt_free(g);
}
 
void dt_local_laplacian_free_cl(dt_local_laplacian_cl_t *g)
{
  if(IS_NULL_PTR(g)) return;
  
  // free device mem
  for(int l=0;l<max_levels;l++)
  {
    dt_opencl_release_mem_object(g->dev_padded[l]);
    dt_opencl_release_mem_object(g->dev_output[l]);
    for(int k=0;k<num_gamma;k++)
      dt_opencl_release_mem_object(g->dev_processed[k][l]);
  }
  for(int k=0;k<num_gamma;k++) dt_free(g->dev_processed[k]);
  dt_free(g->dev_padded);
  dt_free(g->dev_output);
  dt_free(g->dev_processed);
  g->dev_padded = g->dev_output = 0;
  g->dev_processed = 0;
  dt_free(g);
}
 
dt_local_laplacian_cl_t *dt_local_laplacian_init_cl(
    const int devid,
    const int width,            // width of input image
    const int height,           // height of input image
    const float sigma,          // user param: separate shadows/mid-tones/highlights
    const float shadows,        // user param: lift shadows
    const float highlights,     // user param: compress highlights
    const float clarity)        // user param: increase clarity/local contrast
{
  dt_local_laplacian_cl_t *g = malloc(sizeof(dt_local_laplacian_cl_t));
  if(IS_NULL_PTR(g)) return NULL;
 
  g->global = darktable.opencl->local_laplacian;
  g->devid = devid;
  g->width = width;
  g->height = height;
  g->sigma = sigma;
  g->shadows = shadows;
  g->highlights = highlights;
  g->clarity = clarity;
  g->dev_padded = calloc(max_levels, sizeof(cl_mem));
  g->dev_output = calloc(max_levels, sizeof(cl_mem));
  g->dev_processed = calloc(num_gamma, sizeof(cl_mem *));
  for(int k=0;k<num_gamma;k++)
    g->dev_processed[k] = calloc(max_levels, sizeof(cl_mem));
 
  g->num_levels = MIN(max_levels, 31-__builtin_clz(MIN(width,height)));
  g->max_supp = 1<<(g->num_levels-1);
  g->bwidth = ROUNDUPDWD(width  + 2*g->max_supp, devid);
  g->bheight = ROUNDUPDHT(height + 2*g->max_supp, devid);
 
  // get intermediate vector buffers with read-write access
  for(int l=0;l<g->num_levels;l++)
  {
    g->dev_padded[l] = dt_opencl_alloc_device(devid, ROUNDUPDWD(dl(g->bwidth, l), devid), ROUNDUPDHT(dl(g->bheight, l), devid), sizeof(float));
    if(!g->dev_padded[l]) goto error;
    g->dev_output[l] = dt_opencl_alloc_device(devid, ROUNDUPDWD(dl(g->bwidth, l), devid), ROUNDUPDHT(dl(g->bheight, l), devid), sizeof(float));
    if(!g->dev_output[l]) goto error;
    for(int k=0;k<num_gamma;k++)
    {
      g->dev_processed[k][l] = dt_opencl_alloc_device(devid, ROUNDUPDWD(dl(g->bwidth, l), devid), ROUNDUPDHT(dl(g->bheight, l), devid), sizeof(float));
      if(!g->dev_processed[k][l]) goto error;
    }
  }
 
  return g;
 
error:
  fprintf(stderr, "[local laplacian cl] could not allocate temporary buffers\n");
  dt_local_laplacian_free_cl(g);
  return NULL;
}
 
cl_int dt_local_laplacian_cl(
    dt_local_laplacian_cl_t *b, // opencl context with temp buffers
    cl_mem input,               // input buffer in some Labx or yuvx format
    cl_mem output)              // output buffer with colour
{
  cl_int err = -666;
 
  if(b->bwidth <= 1 || b->bheight <= 1) return err;
 
  size_t sizes_pad[] = { ROUNDUPDWD(b->bwidth, b->devid), ROUNDUPDHT(b->bheight, b->devid), 1 };
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_pad_input, 0, sizeof(cl_mem), &input);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_pad_input, 1, sizeof(cl_mem), &b->dev_padded[0]);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_pad_input, 2, sizeof(int), &b->width);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_pad_input, 3, sizeof(int), &b->height);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_pad_input, 4, sizeof(int), &b->max_supp);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_pad_input, 5, sizeof(int), &b->bwidth);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_pad_input, 6, sizeof(int), &b->bheight);
  err = dt_opencl_enqueue_kernel_2d(b->devid, b->global->kernel_pad_input, sizes_pad);
  if(err != CL_SUCCESS) goto error;
 
  // create gauss pyramid of padded input, write coarse directly to output
  for(int l=1;l<b->num_levels;l++)
  {
    const int wd = dl(b->bwidth, l), ht = dl(b->bheight, l);
    size_t sizes[] = { ROUNDUPDWD(wd, b->devid), ROUNDUPDHT(ht, b->devid), 1 };
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 0, sizeof(cl_mem), &b->dev_padded[l-1]);
    if(l == b->num_levels-1)
      dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 1, sizeof(cl_mem), &b->dev_output[l]);
    else
      dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 1, sizeof(cl_mem), &b->dev_padded[l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 2, sizeof(int), &wd);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 3, sizeof(int), &ht);
    err = dt_opencl_enqueue_kernel_2d(b->devid, b->global->kernel_gauss_reduce, sizes);
    if(err != CL_SUCCESS) goto error;
  }
 
  for(int k=0;k<num_gamma;k++)
  { // process images
    const float g = (k+.5f)/(float)num_gamma;
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 0, sizeof(cl_mem), &b->dev_padded[0]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 1, sizeof(cl_mem), &b->dev_processed[k][0]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 2, sizeof(float), &g);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 3, sizeof(float), &b->sigma);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 4, sizeof(float), &b->shadows);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 5, sizeof(float), &b->highlights);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 6, sizeof(float), &b->clarity);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 7, sizeof(int), &b->bwidth);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_process_curve, 8, sizeof(int), &b->bheight);
    err = dt_opencl_enqueue_kernel_2d(b->devid, b->global->kernel_process_curve, sizes_pad);
    if(err != CL_SUCCESS) goto error;
 
    // create gaussian pyramids
    for(int l=1;l<b->num_levels;l++)
    {
      const int wd = dl(b->bwidth, l), ht = dl(b->bheight, l);
      size_t sizes[] = { ROUNDUPDWD(wd, b->devid), ROUNDUPDHT(ht, b->devid), 1 };
      dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 0, sizeof(cl_mem), &b->dev_processed[k][l-1]);
      dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 1, sizeof(cl_mem), &b->dev_processed[k][l]);
      dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 2, sizeof(int), &wd);
      dt_opencl_set_kernel_arg(b->devid, b->global->kernel_gauss_reduce, 3, sizeof(int), &ht);
      err = dt_opencl_enqueue_kernel_2d(b->devid, b->global->kernel_gauss_reduce, sizes);
      if(err != CL_SUCCESS) goto error;
    }
  }
 
  // assemble output pyramid coarse to fine
  for(int l=b->num_levels-2;l >= 0; l--)
  {
    const int pw = dl(b->bwidth,l), ph = dl(b->bheight,l);
    size_t sizes[] = { ROUNDUPDWD(pw, b->devid), ROUNDUPDHT(ph, b->devid), 1 };
    // this is so dumb:
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  0, sizeof(cl_mem), &b->dev_padded[l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  1, sizeof(cl_mem), &b->dev_output[l+1]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  2, sizeof(cl_mem), &b->dev_output[l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  3, sizeof(cl_mem), &b->dev_processed[0][l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  4, sizeof(cl_mem), &b->dev_processed[0][l+1]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  5, sizeof(cl_mem), &b->dev_processed[1][l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  6, sizeof(cl_mem), &b->dev_processed[1][l+1]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  7, sizeof(cl_mem), &b->dev_processed[2][l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  8, sizeof(cl_mem), &b->dev_processed[2][l+1]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble,  9, sizeof(cl_mem), &b->dev_processed[3][l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 10, sizeof(cl_mem), &b->dev_processed[3][l+1]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 11, sizeof(cl_mem), &b->dev_processed[4][l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 12, sizeof(cl_mem), &b->dev_processed[4][l+1]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 13, sizeof(cl_mem), &b->dev_processed[5][l]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 14, sizeof(cl_mem), &b->dev_processed[5][l+1]);
    // dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 15, sizeof(cl_mem), &b->dev_processed[6][l]);
    // dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 16, sizeof(cl_mem), &b->dev_processed[6][l+1]);
    // dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 17, sizeof(cl_mem), &b->dev_processed[7][l]);
    // dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 18, sizeof(cl_mem), &b->dev_processed[7][l+1]);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 15, sizeof(int), &pw);
    dt_opencl_set_kernel_arg(b->devid, b->global->kernel_laplacian_assemble, 16, sizeof(int), &ph);
    err = dt_opencl_enqueue_kernel_2d(b->devid, b->global->kernel_laplacian_assemble, sizes);
    if(err != CL_SUCCESS) goto error;
  }
 
  // read back processed L channel and copy colours:
  size_t sizes[] = { ROUNDUPDWD(b->width, b->devid), ROUNDUPDHT(b->height, b->devid), 1 };
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_write_back, 0, sizeof(cl_mem), &input);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_write_back, 1, sizeof(cl_mem), &b->dev_output[0]);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_write_back, 2, sizeof(cl_mem), &output);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_write_back, 3, sizeof(int), &b->max_supp);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_write_back, 4, sizeof(int), &b->width);
  dt_opencl_set_kernel_arg(b->devid, b->global->kernel_write_back, 5, sizeof(int), &b->height);
  err = dt_opencl_enqueue_kernel_2d(b->devid, b->global->kernel_write_back, sizes);
  if(err != CL_SUCCESS) goto error;
 
  return CL_SUCCESS;
 
error:
  fprintf(stderr, "[local laplacian cl] failed: %d\n", err);
  return err;
}
 
#undef max_levels
#undef num_gamma
#endif
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