granicus.if.org Git - imagemagick/blob - MagickCore/accelerate.c

   1 /*
   2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
   3 %                                                                             %
   4 %                                                                             %
   5 %                                                                             %
   6 %     AAA     CCCC    CCCC  EEEEE  L      EEEEE  RRRR    AAA   TTTTT  EEEEE   %
   7 %    A   A   C       C      E      L      E      R   R  A   A    T    E       %
   8 %    AAAAA   C       C      EEE    L      EEE    RRRR   AAAAA    T    EEE     %
   9 %    A   A   C       C      E      L      E      R R    A   A    T    E       %
  10 %    A   A    CCCC    CCCC  EEEEE  LLLLL  EEEEE  R  R   A   A    T    EEEEE   %
  11 %                                                                             %
  12 %                                                                             %
  13 %                       MagickCore Acceleration Methods                       %
  14 %                                                                             %
  15 %                              Software Design                                %
  16 %                               John Cristy                                   %
  17 %                               January 2010                                  %
  18 %                                                                             %
  19 %                                                                             %
  20 %  Copyright 1999-2011 ImageMagick Studio LLC, a non-profit organization      %
  21 %  dedicated to making software imaging solutions freely available.           %
  22 %                                                                             %
  23 %  You may not use this file except in compliance with the License.  You may  %
  24 %  obtain a copy of the License at                                            %
  25 %                                                                             %
  26 %    http://www.imagemagick.org/script/license.php                            %
  27 %                                                                             %
  28 %  Unless required by applicable law or agreed to in writing, software        %
  29 %  distributed under the License is distributed on an "AS IS" BASIS,          %
  30 %  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.   %
  31 %  See the License for the specific language governing permissions and        %
  32 %  limitations under the License.                                             %
  33 %                                                                             %
  34 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  35 %
  36 % Morphology is the the application of various kernals, of any size and even
  37 % shape, to a image in various ways (typically binary, but not always).
  38 %
  39 % Convolution (weighted sum or average) is just one specific type of
  40 % accelerate. Just one that is very common for image bluring and sharpening
  41 % effects.  Not only 2D Gaussian blurring, but also 2-pass 1D Blurring.
  42 %
  43 % This module provides not only a general accelerate function, and the ability
  44 % to apply more advanced or iterative morphologies, but also functions for the
  45 % generation of many different types of kernel arrays from user supplied
  46 % arguments. Prehaps even the generation of a kernel from a small image.
  47 */
  48 \f
  49 /*
  50   Include declarations.
  51 */
  52 #include "MagickCore/studio.h"
  53 #include "MagickCore/accelerate.h"
  54 #include "MagickCore/artifact.h"
  55 #include "MagickCore/cache.h"
  56 #include "MagickCore/cache-view.h"
  57 #include "MagickCore/color-private.h"
  58 #include "MagickCore/enhance.h"
  59 #include "MagickCore/exception.h"
  60 #include "MagickCore/exception-private.h"
  61 #include "MagickCore/gem.h"
  62 #include "MagickCore/hashmap.h"
  63 #include "MagickCore/image.h"
  64 #include "MagickCore/image-private.h"
  65 #include "MagickCore/list.h"
  66 #include "MagickCore/memory_.h"
  67 #include "MagickCore/monitor-private.h"
  68 #include "MagickCore/accelerate.h"
  69 #include "MagickCore/option.h"
  70 #include "MagickCore/pixel-accessor.h"
  71 #include "MagickCore/prepress.h"
  72 #include "MagickCore/quantize.h"
  73 #include "MagickCore/registry.h"
  74 #include "MagickCore/semaphore.h"
  75 #include "MagickCore/splay-tree.h"
  76 #include "MagickCore/statistic.h"
  77 #include "MagickCore/string_.h"
  78 #include "MagickCore/string-private.h"
  79 #include "MagickCore/token.h"
  80 \f
  81 /*
  82 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  83 %                                                                             %
  84 %                                                                             %
  85 %                                                                             %
  86 %     A c c e l e r a t e C o n v o l v e I m a g e                           %
  87 %                                                                             %
  88 %                                                                             %
  89 %                                                                             %
  90 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  91 %
  92 %  AccelerateConvolveImage() applies a custom convolution kernel to the image.
  93 %  It is accelerated by taking advantage of speed-ups offered by executing in
  94 %  concert across heterogeneous platforms consisting of CPUs, GPUs, and other
  95 %  processors.
  96 %
  97 %  The format of the AccelerateConvolveImage method is:
  98 %
  99 %      Image *AccelerateConvolveImage(const Image *image,
 100 %        const KernelInfo *kernel,Image *convolve_image,
 101 %        ExceptionInfo *exception)
 102 %
 103 %  A description of each parameter follows:
 104 %
 105 %    o image: the image.
 106 %
 107 %    o kernel: the convolution kernel.
 108 %
 109 %    o convole_image: the convoleed image.
 110 %
 111 %    o exception: return any errors or warnings in this structure.
 112 %
 113 */
 114
 115 #if defined(MAGICKCORE_OPENCL_SUPPORT)
 116
 117 #if defined(MAGICKCORE_HDRI_SUPPORT)
 118 #define CLOptions "-DMAGICKCORE_HDRI_SUPPORT=1 -DCLQuantum=float " \
 119   "-DCLPixelType=float4 -DQuantumRange=%g -DMagickEpsilon=%g"
 120 #define CLPixelPacket  cl_float4
 121 #else
 122 #if (MAGICKCORE_QUANTUM_DEPTH == 8)
 123 #define CLOptions "-DCLQuantum=uchar -DCLPixelType=uchar4 " \
 124   "-DQuantumRange=%g -DMagickEpsilon=%g"
 125 #define CLPixelPacket  cl_uchar4
 126 #elif (MAGICKCORE_QUANTUM_DEPTH == 16)
 127 #define CLOptions "-DCLQuantum=ushort -DCLPixelType=ushort4 " \
 128   "-DQuantumRange=%g -DMagickEpsilon=%g"
 129 #define CLPixelPacket  cl_ushort4
 130 #elif (MAGICKCORE_QUANTUM_DEPTH == 32)
 131 #define CLOptions "-DCLQuantum=uint -DCLPixelType=uint4 " \
 132   "-DQuantumRange=%g -DMagickEpsilon=%g"
 133 #define CLPixelPacket  cl_uint4
 134 #elif (MAGICKCORE_QUANTUM_DEPTH == 32)
 135 #define CLOptions "-DCLQuantum=ussize_t -DCLPixelType=ussize_t4 " \
 136   "-DQuantumRange=%g -DMagickEpsilon=%g"
 137 #define CLPixelPacket  cl_ulong4
 138 #endif
 139 #endif
 140
 141 typedef struct _ConvolveInfo
 142 {
 143   cl_context
 144     context;
 145
 146   cl_device_id
 147     *devices;
 148
 149   cl_command_queue
 150     command_queue;
 151
 152   cl_kernel
 153     kernel;
 154
 155   cl_program
 156     program;
 157
 158   cl_mem
 159     pixels,
 160     convolve_pixels;
 161
 162   cl_ulong
 163     width,
 164     height;
 165
 166   cl_bool
 167     matte;
 168
 169   cl_mem
 170     filter;
 171 } ConvolveInfo;
 172
 173 static char
 174   *ConvolveKernel =
 175     "static inline long ClampToCanvas(const long offset,const unsigned long range)\n"
 176     "{\n"
 177     "  if (offset < 0L)\n"
 178     "    return(0L);\n"
 179     "  if (offset >= range)\n"
 180     "    return((long) (range-1L));\n"
 181     "  return(offset);\n"
 182     "}\n"
 183     "\n"
 184     "static inline CLQuantum ClampToQuantum(const double value)\n"
 185     "{\n"
 186     "#if defined(MAGICKCORE_HDRI_SUPPORT)\n"
 187     "  return((CLQuantum) value)\n"
 188     "#else\n"
 189     "  if (value < 0.0)\n"
 190     "    return((CLQuantum) 0);\n"
 191     "  if (value >= (double) QuantumRange)\n"
 192     "    return((CLQuantum) QuantumRange);\n"
 193     "  return((CLQuantum) (value+0.5));\n"
 194     "#endif\n"
 195     "}\n"
 196     "\n"
 197     "__kernel void Convolve(const __global CLPixelType *input,\n"
 198     "  __constant double *filter,const unsigned long width,const unsigned long height,\n"
 199     "  const bool matte,__global CLPixelType *output)\n"
 200     "{\n"
 201     "  const unsigned long columns = get_global_size(0);\n"
 202     "  const unsigned long rows = get_global_size(1);\n"
 203     "\n"
 204     "  const long x = get_global_id(0);\n"
 205     "  const long y = get_global_id(1);\n"
 206     "\n"
 207     "  const double scale = (1.0/QuantumRange);\n"
 208     "  const long mid_width = (width-1)/2;\n"
 209     "  const long mid_height = (height-1)/2;\n"
 210     "  double4 sum = { 0.0, 0.0, 0.0, 0.0 };\n"
 211     "  double gamma = 0.0;\n"
 212     "  register unsigned long i = 0;\n"
 213     "\n"
 214     "  int method = 0;\n"
 215     "  if (matte != false)\n"
 216     "    method=1;\n"
 217     "  if ((x >= width) && (x < (columns-width-1)) &&\n"
 218     "      (y >= height) && (y < (rows-height-1)))\n"
 219     "    {\n"
 220     "      method=2;\n"
 221     "      if (matte != false)\n"
 222     "        method=3;\n"
 223     "    }\n"
 224     "  switch (method)\n"
 225     "  {\n"
 226     "    case 0:\n"
 227     "    {\n"
 228     "      for (long v=(-mid_height); v <= mid_height; v++)\n"
 229     "      {\n"
 230     "        for (long u=(-mid_width); u <= mid_width; u++)\n"
 231     "        {\n"
 232     "          const long index=ClampToCanvas(y+v,rows)*columns+\n"
 233     "            ClampToCanvas(x+u,columns);\n"
 234     "          sum.x+=filter[i]*input[index].x;\n"
 235     "          sum.y+=filter[i]*input[index].y;\n"
 236     "          sum.z+=filter[i]*input[index].z;\n"
 237     "          gamma+=filter[i];\n"
 238     "          i++;\n"
 239     "        }\n"
 240     "      }\n"
 241     "      break;\n"
 242     "    }\n"
 243     "    case 1:\n"
 244     "    {\n"
 245     "      for (long v=(-mid_height); v <= mid_height; v++)\n"
 246     "      {\n"
 247     "        for (long u=(-mid_width); u <= mid_width; u++)\n"
 248     "        {\n"
 249     "          const unsigned long index=ClampToCanvas(y+v,rows)*columns+\n"
 250     "            ClampToCanvas(x+u,columns);\n"
 251     "          const double alpha=scale*input[index].w;\n"
 252     "          sum.x+=alpha*filter[i]*input[index].x;\n"
 253     "          sum.y+=alpha*filter[i]*input[index].y;\n"
 254     "          sum.z+=alpha*filter[i]*input[index].z;\n"
 255     "          sum.w+=filter[i]*input[index].w;\n"
 256     "          gamma+=alpha*filter[i];\n"
 257     "          i++;\n"
 258     "        }\n"
 259     "      }\n"
 260     "      break;\n"
 261     "    }\n"
 262     "    case 2:\n"
 263     "    {\n"
 264     "      for (long v=(-mid_height); v <= mid_height; v++)\n"
 265     "      {\n"
 266     "        for (long u=(-mid_width); u <= mid_width; u++)\n"
 267     "        {\n"
 268     "          const unsigned long index=(y+v)*columns+(x+u);\n"
 269     "          sum.x+=filter[i]*input[index].x;\n"
 270     "          sum.y+=filter[i]*input[index].y;\n"
 271     "          sum.z+=filter[i]*input[index].z;\n"
 272     "          gamma+=filter[i];\n"
 273     "          i++;\n"
 274     "        }\n"
 275     "      }\n"
 276     "      break;\n"
 277     "    }\n"
 278     "    case 3:\n"
 279     "    {\n"
 280     "      for (long v=(-mid_height); v <= mid_height; v++)\n"
 281     "      {\n"
 282     "        for (long u=(-mid_width); u <= mid_width; u++)\n"
 283     "        {\n"
 284     "          const unsigned long index=(y+v)*columns+(x+u);\n"
 285     "          const double alpha=scale*input[index].w;\n"
 286     "          sum.x+=alpha*filter[i]*input[index].x;\n"
 287     "          sum.y+=alpha*filter[i]*input[index].y;\n"
 288     "          sum.z+=alpha*filter[i]*input[index].z;\n"
 289     "          sum.w+=filter[i]*input[index].w;\n"
 290     "          gamma+=alpha*filter[i];\n"
 291     "          i++;\n"
 292     "        }\n"
 293     "      }\n"
 294     "      break;\n"
 295     "    }\n"
 296     "  }\n"
 297     "  gamma=1.0/(fabs(gamma) <= MagickEpsilon ? 1.0 : gamma);\n"
 298     "  const unsigned long index = y*columns+x;\n"
 299     "  output[index].x=ClampToQuantum(gamma*sum.x);\n"
 300     "  output[index].y=ClampToQuantum(gamma*sum.y);\n"
 301     "  output[index].z=ClampToQuantum(gamma*sum.z);\n"
 302     "  if (matte == false)\n"
 303     "    output[index].w=input[index].w;\n"
 304     "  else\n"
 305     "    output[index].w=ClampToQuantum(sum.w);\n"
 306     "}\n";
 307
 308 static void ConvolveNotify(const char *message,const void *data,size_t length,
 309   void *user_context)
 310 {
 311   ExceptionInfo
 312     *exception;
 313
 314   (void) data;
 315   (void) length;
 316   exception=(ExceptionInfo *) user_context;
 317   (void) ThrowMagickException(exception,GetMagickModule(),DelegateWarning,
 318     "DelegateFailed","`%s'",message);
 319 }
 320
 321 static MagickBooleanType BindConvolveParameters(ConvolveInfo *convolve_info,
 322   const Image *image,const void *pixels,double *filter,
 323   const size_t width,const size_t height,void *convolve_pixels)
 324 {
 325   cl_int
 326     status;
 327
 328   register cl_uint
 329     i;
 330
 331   size_t
 332     length;
 333
 334   /*
 335     Allocate OpenCL buffers.
 336   */
 337   length=image->columns*image->rows;
 338   convolve_info->pixels=clCreateBuffer(convolve_info->context,(cl_mem_flags)
 339     (CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR),length*sizeof(CLPixelPacket),
 340     (void *) pixels,&status);
 341   if ((convolve_info->pixels == (cl_mem) NULL) || (status != CL_SUCCESS))
 342     return(MagickFalse);
 343   length=width*height;
 344   convolve_info->filter=clCreateBuffer(convolve_info->context,(cl_mem_flags)
 345     (CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR),length*sizeof(cl_double),filter,
 346     &status);
 347   if ((convolve_info->filter == (cl_mem) NULL) || (status != CL_SUCCESS))
 348     return(MagickFalse);
 349   length=image->columns*image->rows;
 350   convolve_info->convolve_pixels=clCreateBuffer(convolve_info->context,
 351     (cl_mem_flags) (CL_MEM_WRITE_ONLY | CL_MEM_USE_HOST_PTR),length*
 352     sizeof(CLPixelPacket),convolve_pixels,&status);
 353   if ((convolve_info->convolve_pixels == (cl_mem) NULL) ||
 354       (status != CL_SUCCESS))
 355     return(MagickFalse);
 356   /*
 357     Bind OpenCL buffers.
 358   */
 359   i=0;
 360   status=clSetKernelArg(convolve_info->kernel,i++,sizeof(cl_mem),(void *)
 361     &convolve_info->pixels);
 362   if (status != CL_SUCCESS)
 363     return(MagickFalse);
 364   status=clSetKernelArg(convolve_info->kernel,i++,sizeof(cl_mem),(void *)
 365     &convolve_info->filter);
 366   if (status != CL_SUCCESS)
 367     return(MagickFalse);
 368   convolve_info->width=(cl_ulong) width;
 369   status=clSetKernelArg(convolve_info->kernel,i++,sizeof(cl_ulong),(void *)
 370     &convolve_info->width);
 371   if (status != CL_SUCCESS)
 372     return(MagickFalse);
 373   convolve_info->height=(cl_ulong) height;
 374   status=clSetKernelArg(convolve_info->kernel,i++,sizeof(cl_ulong),(void *)
 375     &convolve_info->height);
 376   if (status != CL_SUCCESS)
 377     return(MagickFalse);
 378   convolve_info->matte=(cl_bool) image->matte;
 379   status=clSetKernelArg(convolve_info->kernel,i++,sizeof(cl_bool),(void *)
 380     &convolve_info->matte);
 381   if (status != CL_SUCCESS)
 382     return(MagickFalse);
 383   status=clSetKernelArg(convolve_info->kernel,i++,sizeof(cl_mem),(void *)
 384     &convolve_info->convolve_pixels);
 385   if (status != CL_SUCCESS)
 386     return(MagickFalse);
 387   status=clFinish(convolve_info->command_queue);
 388   if (status != CL_SUCCESS)
 389     return(MagickFalse);
 390   return(MagickTrue);
 391 }
 392
 393 static void DestroyConvolveBuffers(ConvolveInfo *convolve_info)
 394 {
 395   cl_int
 396     status;
 397
 398   if (convolve_info->convolve_pixels != (cl_mem) NULL)
 399     status=clReleaseMemObject(convolve_info->convolve_pixels);
 400   if (convolve_info->pixels != (cl_mem) NULL)
 401     status=clReleaseMemObject(convolve_info->pixels);
 402   if (convolve_info->filter != (cl_mem) NULL)
 403     status=clReleaseMemObject(convolve_info->filter);
 404 }
 405
 406 static ConvolveInfo *DestroyConvolveInfo(ConvolveInfo *convolve_info)
 407 {
 408   cl_int
 409     status;
 410
 411   if (convolve_info->kernel != (cl_kernel) NULL)
 412     status=clReleaseKernel(convolve_info->kernel);
 413   if (convolve_info->program != (cl_program) NULL)
 414     status=clReleaseProgram(convolve_info->program);
 415   if (convolve_info->command_queue != (cl_command_queue) NULL)
 416     status=clReleaseCommandQueue(convolve_info->command_queue);
 417   if (convolve_info->context != (cl_context) NULL)
 418     status=clReleaseContext(convolve_info->context);
 419   convolve_info=(ConvolveInfo *) RelinquishMagickMemory(convolve_info);
 420   return(convolve_info);
 421 }
 422
 423 static MagickBooleanType EnqueueConvolveKernel(ConvolveInfo *convolve_info,
 424   const Image *image,const void *pixels,double *filter,
 425   const size_t width,const size_t height,void *convolve_pixels)
 426 {
 427   cl_int
 428     status;
 429
 430   size_t
 431     global_work_size[2],
 432     length;
 433
 434   length=image->columns*image->rows;
 435   status=clEnqueueWriteBuffer(convolve_info->command_queue,
 436     convolve_info->pixels,CL_TRUE,0,length*sizeof(CLPixelPacket),pixels,0,NULL,
 437     NULL);
 438   length=width*height;
 439   status=clEnqueueWriteBuffer(convolve_info->command_queue,
 440     convolve_info->filter,CL_TRUE,0,length*sizeof(cl_double),filter,0,NULL,
 441     NULL);
 442   if (status != CL_SUCCESS)
 443     return(MagickFalse);
 444   global_work_size[0]=image->columns;
 445   global_work_size[1]=image->rows;
 446   status=clEnqueueNDRangeKernel(convolve_info->command_queue,
 447     convolve_info->kernel,2,NULL,global_work_size,NULL,0,NULL,NULL);
 448   if (status != CL_SUCCESS)
 449     return(MagickFalse);
 450   length=image->columns*image->rows;
 451   status=clEnqueueReadBuffer(convolve_info->command_queue,
 452     convolve_info->convolve_pixels,CL_TRUE,0,length*sizeof(CLPixelPacket),
 453     convolve_pixels,0,NULL,NULL);
 454   if (status != CL_SUCCESS)
 455     return(MagickFalse);
 456   status=clFinish(convolve_info->command_queue);
 457   if (status != CL_SUCCESS)
 458     return(MagickFalse);
 459   return(MagickTrue);
 460 }
 461
 462 static ConvolveInfo *GetConvolveInfo(const Image *image,const char *name,
 463   const char *source,ExceptionInfo *exception)
 464 {
 465   char
 466     options[MaxTextExtent];
 467
 468   cl_int
 469     status;
 470
 471   ConvolveInfo
 472     *convolve_info;
 473
 474   size_t
 475     length,
 476     lengths[] = { strlen(source) };
 477
 478   /*
 479     Create OpenCL info.
 480   */
 481   convolve_info=(ConvolveInfo *) AcquireMagickMemory(sizeof(*convolve_info));
 482   if (convolve_info == (ConvolveInfo *) NULL)
 483     {
 484       (void) ThrowMagickException(exception,GetMagickModule(),
 485         ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
 486       return((ConvolveInfo *) NULL);
 487     }
 488   (void) ResetMagickMemory(convolve_info,0,sizeof(*convolve_info));
 489   /*
 490     Create OpenCL context.
 491   */
 492   convolve_info->context=clCreateContextFromType((cl_context_properties *)
 493     NULL,(cl_device_type) CL_DEVICE_TYPE_GPU,ConvolveNotify,exception,&status);
 494   if ((convolve_info->context == (cl_context) NULL) || (status != CL_SUCCESS))
 495     convolve_info->context=clCreateContextFromType((cl_context_properties *)
 496       NULL,(cl_device_type) CL_DEVICE_TYPE_CPU,ConvolveNotify,exception,
 497       &status);
 498   if ((convolve_info->context == (cl_context) NULL) || (status != CL_SUCCESS))
 499     convolve_info->context=clCreateContextFromType((cl_context_properties *)
 500       NULL,(cl_device_type) CL_DEVICE_TYPE_DEFAULT,ConvolveNotify,exception,
 501       &status);
 502   if ((convolve_info->context == (cl_context) NULL) || (status != CL_SUCCESS))
 503     {
 504       (void) ThrowMagickException(exception,GetMagickModule(),DelegateWarning,
 505         "failed to create OpenCL context","`%s' (%d)",image->filename,status);
 506       convolve_info=DestroyConvolveInfo(convolve_info);
 507       return((ConvolveInfo *) NULL);
 508     }
 509   /*
 510     Detect OpenCL devices.
 511   */
 512   status=clGetContextInfo(convolve_info->context,CL_CONTEXT_DEVICES,0,NULL,
 513     &length);
 514   if ((status != CL_SUCCESS) || (length == 0))
 515     {
 516       convolve_info=DestroyConvolveInfo(convolve_info);
 517       return((ConvolveInfo *) NULL);
 518     }
 519   convolve_info->devices=(cl_device_id *) AcquireMagickMemory(length);
 520   if (convolve_info->devices == (cl_device_id *) NULL)
 521     {
 522       (void) ThrowMagickException(exception,GetMagickModule(),
 523         ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
 524       convolve_info=DestroyConvolveInfo(convolve_info);
 525       return((ConvolveInfo *) NULL);
 526     }
 527   status=clGetContextInfo(convolve_info->context,CL_CONTEXT_DEVICES,length,
 528     convolve_info->devices,NULL);
 529   if (status != CL_SUCCESS)
 530     {
 531       convolve_info=DestroyConvolveInfo(convolve_info);
 532       return((ConvolveInfo *) NULL);
 533     }
 534   /*
 535     Create OpenCL command queue.
 536   */
 537   convolve_info->command_queue=clCreateCommandQueue(convolve_info->context,
 538     convolve_info->devices[0],0,&status);
 539   if ((convolve_info->command_queue == (cl_command_queue) NULL) ||
 540       (status != CL_SUCCESS))
 541     {
 542       convolve_info=DestroyConvolveInfo(convolve_info);
 543       return((ConvolveInfo *) NULL);
 544     }
 545   /*
 546     Build OpenCL program.
 547   */
 548   convolve_info->program=clCreateProgramWithSource(convolve_info->context,1,
 549     &source,lengths,&status);
 550   if ((convolve_info->program == (cl_program) NULL) || (status != CL_SUCCESS))
 551     {
 552       convolve_info=DestroyConvolveInfo(convolve_info);
 553       return((ConvolveInfo *) NULL);
 554     }
 555   (void) FormatLocaleString(options,MaxTextExtent,CLOptions,(double)
 556     QuantumRange,MagickEpsilon);
 557   status=clBuildProgram(convolve_info->program,1,convolve_info->devices,options,
 558     NULL,NULL);
 559   if ((convolve_info->program == (cl_program) NULL) || (status != CL_SUCCESS))
 560     {
 561       char
 562         *log;
 563
 564       status=clGetProgramBuildInfo(convolve_info->program,
 565         convolve_info->devices[0],CL_PROGRAM_BUILD_LOG,0,NULL,&length);
 566       log=(char *) AcquireMagickMemory(length);
 567       if (log == (char *) NULL)
 568         {
 569           convolve_info=DestroyConvolveInfo(convolve_info);
 570           return((ConvolveInfo *) NULL);
 571         }
 572       status=clGetProgramBuildInfo(convolve_info->program,
 573         convolve_info->devices[0],CL_PROGRAM_BUILD_LOG,length,log,&length);
 574       (void) ThrowMagickException(exception,GetMagickModule(),DelegateWarning,
 575         "failed to build OpenCL program","`%s' (%s)",image->filename,log);
 576       log=DestroyString(log);
 577       convolve_info=DestroyConvolveInfo(convolve_info);
 578       return((ConvolveInfo *) NULL);
 579     }
 580   /*
 581     Get a kernel object.
 582   */
 583   convolve_info->kernel=clCreateKernel(convolve_info->program,name,&status);
 584   if ((convolve_info->kernel == (cl_kernel) NULL) || (status != CL_SUCCESS))
 585     {
 586       convolve_info=DestroyConvolveInfo(convolve_info);
 587       return((ConvolveInfo *) NULL);
 588     }
 589   return(convolve_info);
 590 }
 591
 592 #endif
 593
 594 MagickExport MagickBooleanType AccelerateConvolveImage(const Image *image,
 595   const KernelInfo *kernel,Image *convolve_image,ExceptionInfo *exception)
 596 {
 597   assert(image != (Image *) NULL);
 598   assert(image->signature == MagickSignature);
 599   if (image->debug != MagickFalse)
 600     (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
 601   assert(kernel != (KernelInfo *) NULL);
 602   assert(kernel->signature == MagickSignature);
 603   assert(convolve_image != (Image *) NULL);
 604   assert(convolve_image->signature == MagickSignature);
 605   assert(exception != (ExceptionInfo *) NULL);
 606   assert(exception->signature == MagickSignature);
 607   if ((image->storage_class != DirectClass) ||
 608       (image->colorspace == CMYKColorspace))
 609   if ((GetImageVirtualPixelMethod(image) != UndefinedVirtualPixelMethod) &&
 610       (GetImageVirtualPixelMethod(image) != EdgeVirtualPixelMethod))
 611     return(MagickFalse);
 612 #if !defined(MAGICKCORE_OPENCL_SUPPORT)
 613   return(MagickFalse);
 614 #else
 615   {
 616     const void
 617       *pixels;
 618
 619     ConvolveInfo
 620       *convolve_info;
 621
 622     MagickBooleanType
 623       status;
 624
 625     MagickSizeType
 626       length;
 627
 628     void
 629       *convolve_pixels;
 630
 631     convolve_info=GetConvolveInfo(image,"Convolve",ConvolveKernel,exception);
 632     if (convolve_info == (ConvolveInfo *) NULL)
 633       return(MagickFalse);
 634     pixels=AcquirePixelCachePixels(image,&length,exception);
 635     if (pixels == (const void *) NULL)
 636       {
 637         (void) ThrowMagickException(exception,GetMagickModule(),CacheError,
 638           "UnableToReadPixelCache","`%s'",image->filename);
 639         convolve_info=DestroyConvolveInfo(convolve_info);
 640         return(MagickFalse);
 641       }
 642     convolve_pixels=GetPixelCachePixels(convolve_image,&length,exception);
 643     if (convolve_pixels == (void *) NULL)
 644       {
 645         (void) ThrowMagickException(exception,GetMagickModule(),CacheError,
 646           "UnableToReadPixelCache","`%s'",image->filename);
 647         convolve_info=DestroyConvolveInfo(convolve_info);
 648         return(MagickFalse);
 649       }
 650     status=BindConvolveParameters(convolve_info,image,pixels,kernel->values,
 651       kernel->width,kernel->height,convolve_pixels);
 652     if (status == MagickFalse)
 653       {
 654         DestroyConvolveBuffers(convolve_info);
 655         convolve_info=DestroyConvolveInfo(convolve_info);
 656         return(MagickFalse);
 657       }
 658     status=EnqueueConvolveKernel(convolve_info,image,pixels,kernel->values,
 659       kernel->width,kernel->height,convolve_pixels);
 660     if (status == MagickFalse)
 661       {
 662         DestroyConvolveBuffers(convolve_info);
 663         convolve_info=DestroyConvolveInfo(convolve_info);
 664         return(MagickFalse);
 665       }
 666     DestroyConvolveBuffers(convolve_info);
 667     convolve_info=DestroyConvolveInfo(convolve_info);
 668     return(MagickTrue);
 669   }
 670 #endif
 671 }