6da6f8d33f
The work size is still very conservative, and this doesn't help for progressive refine. For that we will need to render multiple tiles at the same time. But this should already help for denoising renders that require too much memory with big tiles, and just generally soften the performance dropoff with small tiles. Differential Revision: https://developer.blender.org/D2856
133 lines
3.9 KiB
Plaintext
133 lines
3.9 KiB
Plaintext
/*
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* Copyright 2011-2013 Blender Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/* CUDA kernel entry points */
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#ifdef __CUDA_ARCH__
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#include "kernel/kernel_compat_cuda.h"
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#include "kernel_config.h"
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#include "util/util_atomic.h"
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#include "kernel/kernel_math.h"
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#include "kernel/kernel_types.h"
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#include "kernel/kernel_globals.h"
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#include "kernel/kernel_film.h"
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#include "kernel/kernel_path.h"
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#include "kernel/kernel_path_branched.h"
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#include "kernel/kernel_bake.h"
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#include "kernel/kernel_work_stealing.h"
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/* kernels */
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_path_trace(WorkTile *tile, uint total_work_size)
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{
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int work_index = ccl_global_id(0);
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if(work_index < total_work_size) {
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uint x, y, sample;
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get_work_pixel(tile, work_index, &x, &y, &sample);
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KernelGlobals kg;
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kernel_path_trace(&kg, tile->buffer, sample, x, y, tile->offset, tile->stride);
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}
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}
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#ifdef __BRANCHED_PATH__
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_BRANCHED_MAX_REGISTERS)
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kernel_cuda_branched_path_trace(WorkTile *tile, uint total_work_size)
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{
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int work_index = ccl_global_id(0);
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if(work_index < total_work_size) {
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uint x, y, sample;
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get_work_pixel(tile, work_index, &x, &y, &sample);
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KernelGlobals kg;
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kernel_branched_path_trace(&kg, tile->buffer, sample, x, y, tile->offset, tile->stride);
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}
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}
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#endif
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_convert_to_byte(uchar4 *rgba, float *buffer, float sample_scale, int sx, int sy, int sw, int sh, int offset, int stride)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
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if(x < sx + sw && y < sy + sh) {
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kernel_film_convert_to_byte(NULL, rgba, buffer, sample_scale, x, y, offset, stride);
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}
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}
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_convert_to_half_float(uchar4 *rgba, float *buffer, float sample_scale, int sx, int sy, int sw, int sh, int offset, int stride)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
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if(x < sx + sw && y < sy + sh) {
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kernel_film_convert_to_half_float(NULL, rgba, buffer, sample_scale, x, y, offset, stride);
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}
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}
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_shader(uint4 *input,
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float4 *output,
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float *output_luma,
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int type,
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int sx,
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int sw,
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int offset,
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int sample)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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if(x < sx + sw) {
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KernelGlobals kg;
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kernel_shader_evaluate(&kg,
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input,
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output,
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output_luma,
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(ShaderEvalType)type,
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x,
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sample);
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}
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}
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#ifdef __BAKING__
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_bake(uint4 *input, float4 *output, int type, int filter, int sx, int sw, int offset, int sample)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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if(x < sx + sw) {
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KernelGlobals kg;
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kernel_bake_evaluate(&kg, input, output, (ShaderEvalType)type, filter, x, offset, sample);
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}
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}
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#endif
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#endif
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