Created
May 9, 2020 13:56
-
-
Save RuiJCS/60d69b74eb299720652a80fe6acbb4b7 to your computer and use it in GitHub Desktop.
OpenCL convolution kernel
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
__kernel void convolute_mem(__read_only image2d_t src, __write_only image2d_t result, __constant float4 * filter) { | |
int2 global_coord = (int2) (get_global_id(0),get_global_id(1)); | |
int2 local_coord = (int2) (get_local_id(0),get_local_id(1)); | |
int2 local_size = (int2) (get_local_size(0),get_local_size(1)); | |
int2 local_array = (int2) (local_coord.x + KERNEL_SIZE_HALF, local_coord.y + KERNEL_SIZE_HALF); | |
// Need to think of the size of the array | |
__local float4 pixels[BLOCK_SIZE][BLOCK_SIZE]; | |
pixels[local_array.y][local_array.x] = read_imagef(src,sampler_const,global_coord); | |
// Places to load the image to local memory | |
if(local_coord.x < KERNEL_SIZE_HALF) { | |
// Left side of the kernel | |
int2 local_mem = (int2) (local_array.x - KERNEL_SIZE_HALF, local_array.y); | |
int2 global_mem = (int2) (global_coord.x - KERNEL_SIZE_HALF, global_coord.y); | |
pixels[local_mem.y][local_mem.x] = read_imagef(src,sampler_const,global_mem); | |
if(local_coord.y < KERNEL_SIZE_HALF) { | |
// Top left corner of the kernel | |
int2 local_mem = (int2) (local_array.x - KERNEL_SIZE_HALF, local_array.y - KERNEL_SIZE_HALF); | |
int2 global_mem = (int2) (global_coord.x - KERNEL_SIZE_HALF, global_coord.y - KERNEL_SIZE_HALF); | |
pixels[local_mem.y][local_mem.x] = read_imagef(src,sampler_const,global_mem); | |
} | |
} | |
if(local_coord.x >= local_size.x - KERNEL_SIZE_HALF) { | |
// Right side of the kernel | |
int2 local_mem = (int2) (local_array.x + KERNEL_SIZE_HALF, local_array.y); | |
int2 global_mem = (int2) (global_coord.x + KERNEL_SIZE_HALF, global_coord.y); | |
pixels[local_mem.y][local_mem.x] = read_imagef(src,sampler_const,global_mem); | |
if(local_coord.y >= local_size.y - KERNEL_SIZE_HALF) { | |
// Bottom right corner of the kernel | |
int2 local_mem = (int2) (local_array.x + KERNEL_SIZE_HALF, local_array.y + KERNEL_SIZE_HALF); | |
int2 global_mem = (int2) (global_coord.x + KERNEL_SIZE_HALF, global_coord.y + KERNEL_SIZE_HALF); | |
pixels[local_mem.y][local_mem.x] = read_imagef(src,sampler_const,global_mem); | |
} | |
} | |
if(local_coord.y < KERNEL_SIZE_HALF) { | |
// Top of the kernel | |
int2 local_mem = (int2) (local_array.x, local_array.y - KERNEL_SIZE_HALF); | |
int2 global_mem = (int2) (global_coord.x, global_coord.y - KERNEL_SIZE_HALF); | |
pixels[local_mem.y][local_mem.x] = read_imagef(src,sampler_const,global_mem); | |
if(local_coord.x >= local_size.x - KERNEL_SIZE_HALF) { | |
// Top right corner of the kernel | |
int2 local_mem = (int2) (local_array.x + KERNEL_SIZE_HALF, local_array.y - KERNEL_SIZE_HALF); | |
int2 global_mem = (int2) (global_coord.x + KERNEL_SIZE_HALF, global_coord.y - KERNEL_SIZE_HALF); | |
pixels[local_mem.y][local_mem.x] = read_imagef(src,sampler_const,global_mem); | |
} | |
} | |
if(local_coord.y >= local_size.y - KERNEL_SIZE_HALF) { | |
// Bottom of the kernel | |
int2 local_mem = (int2) (local_array.x, local_array.y + KERNEL_SIZE_HALF); | |
int2 global_mem = (int2) (global_coord.x, global_coord.y + KERNEL_SIZE_HALF); | |
pixels[local_mem.y][local_mem.x] = read_imagef(src,sampler_const,global_mem); | |
if(local_coord.x < KERNEL_SIZE_HALF) { | |
// Bottom left corner of the kernel | |
int2 local_mem = (int2) (local_array.x - KERNEL_SIZE_HALF, local_array.y + KERNEL_SIZE_HALF); | |
int2 global_mem = (int2) (global_coord.x - KERNEL_SIZE_HALF, global_coord.y + KERNEL_SIZE_HALF); | |
pixels[local_mem.y][local_mem.x] = read_imagef(src,sampler_const,global_mem); | |
} | |
} | |
barrier(CLK_LOCAL_MEM_FENCE); | |
// Calculate Convolution | |
int filter_index = 0; | |
float4 sum = (float4) 0.0; | |
for (int i = -KERNEL_SIZE_HALF; i <= KERNEL_SIZE_HALF; i++) { | |
for(int j = -KERNEL_SIZE_HALF; j <= KERNEL_SIZE_HALF; j++, filter_index++) { | |
int2 local_mem = (int2)(local_array.x + j,local_array.y + i); | |
sum += pixels[local_mem.y][local_mem.x] * filter[filter_index]; | |
} | |
} | |
// sum = pixels[local_array.y] [local_array.x]; | |
write_imagef(result,global_coord,sum); | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment