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intern/cycles/filter/kernels/opencl/filter.cl

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/*
* Copyright 2011-2017 Blender Foundation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/* OpenCL kernel entry points */
#include "../../filter_compat_opencl.h"
#include "../../filter_kernel.h"
/* kernels */
__kernel void kernel_ocl_filter_divide_shadow(int sample,
ccl_global TilesInfo *tiles,
ccl_global float *unfilteredA,
ccl_global float *unfilteredB,
ccl_global float *sampleVariance,
ccl_global float *sampleVarianceV,
ccl_global float *bufferVariance,
int4 prefilter_rect,
int buffer_pass_stride,
int buffer_denoising_offset,
char use_split_variance)
{
int x = prefilter_rect.x + get_global_id(0);
int y = prefilter_rect.y + get_global_id(1);
if(x < prefilter_rect.z && y < prefilter_rect.w) {
kernel_filter_divide_shadow(sample,
tiles,
x, y,
unfilteredA,
unfilteredB,
sampleVariance,
sampleVarianceV,
bufferVariance,
prefilter_rect,
buffer_pass_stride,
buffer_denoising_offset,
use_split_variance);
}
}
__kernel void kernel_ocl_filter_get_feature(int sample,
ccl_global TilesInfo *tiles,
int m_offset,
int v_offset,
ccl_global float *mean,
ccl_global float *variance,
int4 prefilter_rect,
int buffer_pass_stride,
int buffer_denoising_offset,
char use_split_variance)
{
int x = prefilter_rect.x + get_global_id(0);
int y = prefilter_rect.y + get_global_id(1);
if(x < prefilter_rect.z && y < prefilter_rect.w) {
kernel_filter_get_feature(sample,
tiles,
m_offset, v_offset,
x, y,
mean, variance,
prefilter_rect,
buffer_pass_stride,
buffer_denoising_offset,
use_split_variance);
}
}
__kernel void kernel_ocl_filter_combine_halves(ccl_global float *mean,
ccl_global float *variance,
ccl_global float *a,
ccl_global float *b,
int4 prefilter_rect,
int r)
{
int x = prefilter_rect.x + get_global_id(0);
int y = prefilter_rect.y + get_global_id(1);
if(x < prefilter_rect.z && y < prefilter_rect.w) {
kernel_filter_combine_halves(x, y, mean, variance, a, b, prefilter_rect, r);
}
}
__kernel void kernel_ocl_filter_construct_transform(int sample,
ccl_global float ccl_readonly_ptr buffer,
ccl_global float *transform,
ccl_global int *rank,
int4 filter_area,
int4 rect,
int pass_stride,
int radius,
int relative_pca)
{
int x = get_global_id(0);
int y = get_global_id(1);
if(x < filter_area.z && y < filter_area.w) {
ccl_global int *l_rank = rank + y*filter_area.z + x;
ccl_global float *l_transform = transform + y*filter_area.z + x;
kernel_filter_construct_transform(sample, buffer,
x + filter_area.x, y + filter_area.y,
rect, pass_stride,
l_transform, l_rank,
radius, relative_pca,
filter_area.z*filter_area.w,
get_local_id(1)*get_local_size(0) + get_local_id(0));
}
}
__kernel void kernel_ocl_filter_divide_combined(ccl_global float *buffers,
int sample,
int offset,
int stride,
int4 filter_area,
int pass_stride,
int no_denoising_offset)
{
int x = get_global_id(0);
int y = get_global_id(1);
if(x < filter_area.z && y < filter_area.w) {
kernel_filter_divide_combined(x + filter_area.x, y + filter_area.y, sample, buffers, offset, stride, pass_stride, no_denoising_offset);
}
}
__kernel void kernel_ocl_filter_nlm_calc_difference(int dx,
int dy,
ccl_global float ccl_readonly_ptr weightImage,
ccl_global float ccl_readonly_ptr varianceImage,
ccl_global float *differenceImage,
int4 rect,
int w,
int channel_offset,
float a,
float k_2) {
int x = get_global_id(0) + rect.x;
int y = get_global_id(1) + rect.y;
if(x < rect.z && y < rect.w) {
kernel_filter_nlm_calc_difference(x, y, dx, dy, weightImage, varianceImage, differenceImage, rect, w, channel_offset, a, k_2);
}
}
__kernel void kernel_ocl_filter_nlm_blur(ccl_global float ccl_readonly_ptr differenceImage,
ccl_global float *outImage,
int4 rect,
int w,
int f) {
int x = get_global_id(0) + rect.x;
int y = get_global_id(1) + rect.y;
if(x < rect.z && y < rect.w) {
kernel_filter_nlm_blur(x, y, differenceImage, outImage, rect, w, f);
}
}
__kernel void kernel_ocl_filter_nlm_calc_weight(ccl_global float ccl_readonly_ptr differenceImage,
ccl_global float *outImage,
int4 rect,
int w,
int f) {
int x = get_global_id(0) + rect.x;
int y = get_global_id(1) + rect.y;
if(x < rect.z && y < rect.w) {
kernel_filter_nlm_calc_weight(x, y, differenceImage, outImage, rect, w, f);
}
}
__kernel void kernel_ocl_filter_nlm_update_output(int dx,
int dy,
ccl_global float ccl_readonly_ptr differenceImage,
ccl_global float ccl_readonly_ptr image,
ccl_global float *outImage,
ccl_global float *accumImage,
int4 rect,
int w,
int f) {
int x = get_global_id(0) + rect.x;
int y = get_global_id(1) + rect.y;
if(x < rect.z && y < rect.w) {
kernel_filter_nlm_update_output(x, y, dx, dy, differenceImage, image, outImage, accumImage, rect, w, f);
}
}
__kernel void kernel_ocl_filter_nlm_normalize(ccl_global float *outImage,
ccl_global float ccl_readonly_ptr accumImage,
int4 rect,
int w) {
int x = get_global_id(0) + rect.x;
int y = get_global_id(1) + rect.y;
if(x < rect.z && y < rect.w) {
kernel_filter_nlm_normalize(x, y, outImage, accumImage, rect, w);
}
}
__kernel void kernel_ocl_filter_nlm_construct_gramian(int dx,
int dy,
ccl_global float ccl_readonly_ptr differenceImage,
ccl_global float ccl_readonly_ptr buffer,
ccl_global float *color_pass,
ccl_global float *variance_pass,
ccl_global float ccl_readonly_ptr transform,
ccl_global int *rank,
ccl_global float *XtWX,
ccl_global float3 *XtWY,
int4 rect,
int4 filter_rect,
int w,
int h,
int f,
int pass_stride) {
int x = get_global_id(0) + max(0, rect.x-filter_rect.x);
int y = get_global_id(1) + max(0, rect.y-filter_rect.y);
if(x < min(filter_rect.z, rect.z-filter_rect.x) && y < min(filter_rect.w, rect.w-filter_rect.y)) {
kernel_filter_nlm_construct_gramian(x, y,
dx, dy,
differenceImage,
buffer,
color_pass, variance_pass,
transform, rank,
XtWX, XtWY,
rect, filter_rect,
w, h, f,
pass_stride,
get_local_id(1)*get_local_size(0) + get_local_id(0));
}
}
__kernel void kernel_ocl_filter_finalize(int w,
int h,
ccl_global float *buffer,
ccl_global int *rank,
ccl_global float *XtWX,
ccl_global float3 *XtWY,
int4 filter_area,
int4 buffer_params,
int sample) {
int x = get_global_id(0);
int y = get_global_id(1);
if(x < filter_area.z && y < filter_area.w) {
int storage_ofs = y*filter_area.z+x;
rank += storage_ofs;
XtWX += storage_ofs;
XtWY += storage_ofs;
kernel_filter_finalize(x, y, w, h, buffer, rank, filter_area.z*filter_area.w, XtWX, XtWY, buffer_params, sample);
}
}
__kernel void kernel_ocl_filter_set_tiles(ccl_global TilesInfo* tiles,
ccl_global float *buffer_1,
ccl_global float *buffer_2,
ccl_global float *buffer_3,
ccl_global float *buffer_4,
ccl_global float *buffer_5,
ccl_global float *buffer_6,
ccl_global float *buffer_7,
ccl_global float *buffer_8,
ccl_global float *buffer_9)
{
if((get_global_id(0) == 0) && (get_global_id(1) == 0)) {
tiles->buffers[0] = buffer_1;
tiles->buffers[1] = buffer_2;
tiles->buffers[2] = buffer_3;
tiles->buffers[3] = buffer_4;
tiles->buffers[4] = buffer_5;
tiles->buffers[5] = buffer_6;
tiles->buffers[6] = buffer_7;
tiles->buffers[7] = buffer_8;
tiles->buffers[8] = buffer_9;
}
}
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