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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.
*/
/* Templated common implementation part of all CPU kernels.
*
* The idea is that particular .cpp files sets needed optimization flags and
* simply includes this file without worry of copying actual implementation over.
*/
#include "kernel/kernel_compat_cpu.h"
#include "kernel/filter/filter_kernel.h"
#ifdef KERNEL_STUB
# include "util/util_debug.h"
# define STUB_ASSERT(arch, name) assert(!(#name " kernel stub for architecture " #arch " was called!"))
#endif
CCL_NAMESPACE_BEGIN
/* Denoise filter */
void KERNEL_FUNCTION_FULL_NAME(filter_divide_shadow)(int sample,
TilesInfo *tiles,
int x,
int y,
float *unfilteredA,
float *unfilteredB,
float *sampleVariance,
float *sampleVarianceV,
float *bufferVariance,
int* prefilter_rect,
int buffer_pass_stride,
int buffer_denoising_offset,
bool use_split_variance)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_divide_shadow);
#else
kernel_filter_divide_shadow(sample, tiles,
x, y,
unfilteredA,
unfilteredB,
sampleVariance,
sampleVarianceV,
bufferVariance,
load_int4(prefilter_rect),
buffer_pass_stride,
buffer_denoising_offset,
use_split_variance);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_get_feature)(int sample,
TilesInfo *tiles,
int m_offset,
int v_offset,
int x,
int y,
float *mean, float *variance,
int* prefilter_rect,
int buffer_pass_stride,
int buffer_denoising_offset,
bool use_split_variance)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_get_feature);
#else
kernel_filter_get_feature(sample, tiles,
m_offset, v_offset,
x, y,
mean, variance,
load_int4(prefilter_rect),
buffer_pass_stride,
buffer_denoising_offset,
use_split_variance);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_detect_outliers)(int x, int y,
ccl_global float *image,
ccl_global float *variance,
ccl_global float *depth,
ccl_global float *output,
int *rect,
int pass_stride)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_detect_outliers);
#else
kernel_filter_detect_outliers(x, y, image, variance, depth, output, load_int4(rect), pass_stride);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_combine_halves)(int x, int y,
float *mean,
float *variance,
float *a,
float *b,
int* prefilter_rect,
int r)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_combine_halves);
#else
kernel_filter_combine_halves(x, y, mean, variance, a, b, load_int4(prefilter_rect), r);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_construct_transform)(float* buffer,
int x,
int y,
int storage_ofs,
float *transform,
int *rank,
int* prefilter_rect,
int pass_stride,
int radius,
float pca_threshold)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_construct_transform);
#else
rank += storage_ofs;
transform += storage_ofs*TRANSFORM_SIZE;
kernel_filter_construct_transform(buffer,
x, y,
load_int4(prefilter_rect),
pass_stride,
transform,
rank,
radius,
pca_threshold);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_nlm_calc_difference)(int dx,
int dy,
float *weightImage,
float *variance,
float *differenceImage,
int *rect,
int w,
int channel_offset,
float a,
float k_2)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_nlm_calc_difference);
#else
kernel_filter_nlm_calc_difference(dx, dy, weightImage, variance, differenceImage, load_int4(rect), w, channel_offset, a, k_2);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_nlm_blur)(float *differenceImage,
float *outImage,
int *rect,
int w,
int f)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_nlm_blur);
#else
kernel_filter_nlm_blur(differenceImage, outImage, load_int4(rect), w, f);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_nlm_calc_weight)(float *differenceImage,
float *outImage,
int *rect,
int w,
int f)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_nlm_calc_weight);
#else
kernel_filter_nlm_calc_weight(differenceImage, outImage, load_int4(rect), w, f);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_nlm_update_output)(int dx,
int dy,
float *differenceImage,
float *image,
float *outImage,
float *accumImage,
int *rect,
int w,
int f)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_nlm_update_output);
#else
kernel_filter_nlm_update_output(dx, dy, differenceImage, image, outImage, accumImage, load_int4(rect), w, f);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_nlm_construct_gramian)(int dx,
int dy,
float *differenceImage,
float *buffer,
float *color_pass,
float *variance_pass,
float *transform,
int *rank,
float *XtWX,
float3 *XtWY,
int *rect,
int *filter_rect,
int w,
int h,
int f,
int pass_stride)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_nlm_construct_gramian);
#else
kernel_filter_nlm_construct_gramian(dx, dy, differenceImage, buffer, color_pass, variance_pass, transform, rank, XtWX, XtWY, load_int4(rect), load_int4(filter_rect), w, h, f, pass_stride);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_nlm_normalize)(float *outImage,
float *accumImage,
int *rect,
int w)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_nlm_normalize);
#else
kernel_filter_nlm_normalize(outImage, accumImage, load_int4(rect), w);
#endif
}
void KERNEL_FUNCTION_FULL_NAME(filter_finalize)(int x,
int y,
int storage_ofs,
int w,
int h,
float *buffer,
int *rank,
float *XtWX,
float3 *XtWY,
int *buffer_params,
int sample)
{
#ifdef KERNEL_STUB
STUB_ASSERT(KERNEL_ARCH, filter_finalize);
#else
XtWX += storage_ofs*XTWX_SIZE;
XtWY += storage_ofs*XTWY_SIZE;
rank += storage_ofs;
kernel_filter_finalize(x, y, w, h, buffer, rank, 1, XtWX, XtWY, load_int4(buffer_params), sample);
#endif
}
#undef KERNEL_STUB
#undef STUB_ASSERT
#undef KERNEL_ARCH
CCL_NAMESPACE_END
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