Cycles: Cleanup, braces after function definition

I wouldn't mind switching fully to Google style, but i am against of
mixing two different styles in same project. So just stick to brace
at the new line after function definition.
This commit is contained in:
Sergey Sharybin 2017-05-19 12:43:26 +02:00
parent 803337f3f6
commit de86da521c
2 changed files with 28 additions and 14 deletions

View File

@ -144,7 +144,8 @@ kernel_cuda_filter_nlm_calc_difference(int dx, int dy,
float *differenceImage,
int4 rect, int w,
int channel_offset,
float a, float k_2) {
float a, float k_2)
{
int x = blockDim.x*blockIdx.x + threadIdx.x + rect.x;
int y = blockDim.y*blockIdx.y + threadIdx.y + rect.y;
if(x < rect.z && y < rect.w) {
@ -154,7 +155,8 @@ kernel_cuda_filter_nlm_calc_difference(int dx, int dy,
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
kernel_cuda_filter_nlm_blur(const float *ccl_restrict differenceImage, float *outImage, int4 rect, int w, int f) {
kernel_cuda_filter_nlm_blur(const float *ccl_restrict differenceImage, float *outImage, int4 rect, int w, int f)
{
int x = blockDim.x*blockIdx.x + threadIdx.x + rect.x;
int y = blockDim.y*blockIdx.y + threadIdx.y + rect.y;
if(x < rect.z && y < rect.w) {
@ -164,7 +166,8 @@ kernel_cuda_filter_nlm_blur(const float *ccl_restrict differenceImage, float *ou
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
kernel_cuda_filter_nlm_calc_weight(const float *ccl_restrict differenceImage, float *outImage, int4 rect, int w, int f) {
kernel_cuda_filter_nlm_calc_weight(const float *ccl_restrict differenceImage, float *outImage, int4 rect, int w, int f)
{
int x = blockDim.x*blockIdx.x + threadIdx.x + rect.x;
int y = blockDim.y*blockIdx.y + threadIdx.y + rect.y;
if(x < rect.z && y < rect.w) {
@ -179,7 +182,8 @@ kernel_cuda_filter_nlm_update_output(int dx, int dy,
const float *ccl_restrict image,
float *outImage, float *accumImage,
int4 rect, int w,
int f) {
int f)
{
int x = blockDim.x*blockIdx.x + threadIdx.x + rect.x;
int y = blockDim.y*blockIdx.y + threadIdx.y + rect.y;
if(x < rect.z && y < rect.w) {
@ -189,7 +193,8 @@ kernel_cuda_filter_nlm_update_output(int dx, int dy,
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
kernel_cuda_filter_nlm_normalize(float *outImage, const float *ccl_restrict accumImage, int4 rect, int w) {
kernel_cuda_filter_nlm_normalize(float *outImage, const float *ccl_restrict accumImage, int4 rect, int w)
{
int x = blockDim.x*blockIdx.x + threadIdx.x + rect.x;
int y = blockDim.y*blockIdx.y + threadIdx.y + rect.y;
if(x < rect.z && y < rect.w) {
@ -211,7 +216,8 @@ kernel_cuda_filter_nlm_construct_gramian(int dx, int dy,
int4 rect,
int4 filter_rect,
int w, int h, int f,
int pass_stride) {
int pass_stride)
{
int x = blockDim.x*blockIdx.x + threadIdx.x + max(0, rect.x-filter_rect.x);
int y = blockDim.y*blockIdx.y + threadIdx.y + 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)) {
@ -235,7 +241,8 @@ kernel_cuda_filter_finalize(int w, int h,
float *buffer, int *rank,
float *XtWX, float3 *XtWY,
int4 filter_area, int4 buffer_params,
int sample) {
int sample)
{
int x = blockDim.x*blockIdx.x + threadIdx.x;
int y = blockDim.y*blockIdx.y + threadIdx.y;
if(x < filter_area.z && y < filter_area.w) {

View File

@ -139,7 +139,8 @@ __kernel void kernel_ocl_filter_nlm_calc_difference(int dx,
int w,
int channel_offset,
float a,
float k_2) {
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) {
@ -151,7 +152,8 @@ __kernel void kernel_ocl_filter_nlm_blur(const ccl_global float *ccl_restrict di
ccl_global float *outImage,
int4 rect,
int w,
int f) {
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) {
@ -163,7 +165,8 @@ __kernel void kernel_ocl_filter_nlm_calc_weight(const ccl_global float *ccl_rest
ccl_global float *outImage,
int4 rect,
int w,
int f) {
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) {
@ -179,7 +182,8 @@ __kernel void kernel_ocl_filter_nlm_update_output(int dx,
ccl_global float *accumImage,
int4 rect,
int w,
int f) {
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) {
@ -190,7 +194,8 @@ __kernel void kernel_ocl_filter_nlm_update_output(int dx,
__kernel void kernel_ocl_filter_nlm_normalize(ccl_global float *outImage,
const ccl_global float *ccl_restrict accumImage,
int4 rect,
int w) {
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) {
@ -213,7 +218,8 @@ __kernel void kernel_ocl_filter_nlm_construct_gramian(int dx,
int w,
int h,
int f,
int pass_stride) {
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)) {
@ -239,7 +245,8 @@ __kernel void kernel_ocl_filter_finalize(int w,
ccl_global float3 *XtWY,
int4 filter_area,
int4 buffer_params,
int sample) {
int sample)
{
int x = get_global_id(0);
int y = get_global_id(1);
if(x < filter_area.z && y < filter_area.w) {