blender/intern/cycles/kernel/kernel.cu
Dalai Felinto 8d3cc431d7 Fix T41471 Cycles Bake: Setting small tile size results in wrong bake with stripes rather than the expected noise pattern
This problem was introduced in 983cbafd1877f8dbaae60b064a14e27b5b640f18
Basically the issue is that we were not getting a unique index in the
baking routine for the RNG (random number generator).

Reviewers: sergey

Differential Revision: https://developer.blender.org/D749
2014-08-19 11:40:33 +02:00

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/*
* Copyright 2011-2013 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
*/
/* CUDA kernel entry points */
#include "kernel_compat_cuda.h"
#include "kernel_math.h"
#include "kernel_types.h"
#include "kernel_globals.h"
#include "kernel_film.h"
#include "kernel_path.h"
#include "kernel_bake.h"
/* device data taken from CUDA occupancy calculator */
#ifdef __CUDA_ARCH__
/* 2.0 and 2.1 */
#if __CUDA_ARCH__ == 200 || __CUDA_ARCH__ == 210
#define CUDA_MULTIPRESSOR_MAX_REGISTERS 32768
#define CUDA_MULTIPROCESSOR_MAX_BLOCKS 8
#define CUDA_BLOCK_MAX_THREADS 1024
#define CUDA_THREAD_MAX_REGISTERS 63
/* tunable parameters */
#define CUDA_THREADS_BLOCK_WIDTH 16
#define CUDA_KERNEL_MAX_REGISTERS 32
#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 40
/* 3.0 and 3.5 */
#elif __CUDA_ARCH__ == 300 || __CUDA_ARCH__ == 350
#define CUDA_MULTIPRESSOR_MAX_REGISTERS 65536
#define CUDA_MULTIPROCESSOR_MAX_BLOCKS 16
#define CUDA_BLOCK_MAX_THREADS 1024
#define CUDA_THREAD_MAX_REGISTERS 63
/* tunable parameters */
#define CUDA_THREADS_BLOCK_WIDTH 16
#define CUDA_KERNEL_MAX_REGISTERS 63
#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 63
/* 5.0 */
#elif __CUDA_ARCH__ == 500
#define CUDA_MULTIPRESSOR_MAX_REGISTERS 65536
#define CUDA_MULTIPROCESSOR_MAX_BLOCKS 32
#define CUDA_BLOCK_MAX_THREADS 1024
#define CUDA_THREAD_MAX_REGISTERS 255
/* tunable parameters */
#define CUDA_THREADS_BLOCK_WIDTH 16
#define CUDA_KERNEL_MAX_REGISTERS 40
#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 63
/* unknown architecture */
#else
#error "Unknown or unsupported CUDA architecture, can't determine launch bounds"
#endif
/* compute number of threads per block and minimum blocks per multiprocessor
* given the maximum number of registers per thread */
#define CUDA_LAUNCH_BOUNDS(threads_block_width, thread_num_registers) \
__launch_bounds__( \
threads_block_width*threads_block_width, \
CUDA_MULTIPRESSOR_MAX_REGISTERS/(threads_block_width*threads_block_width*thread_num_registers) \
)
/* sanity checks */
#if CUDA_THREADS_BLOCK_WIDTH*CUDA_THREADS_BLOCK_WIDTH > CUDA_BLOCK_MAX_THREADS
#error "Maximum number of threads per block exceeded"
#endif
#if CUDA_MULTIPRESSOR_MAX_REGISTERS/(CUDA_THREADS_BLOCK_WIDTH*CUDA_THREADS_BLOCK_WIDTH*CUDA_KERNEL_MAX_REGISTERS) > CUDA_MULTIPROCESSOR_MAX_BLOCKS
#error "Maximum number of blocks per multiprocessor exceeded"
#endif
#if CUDA_KERNEL_MAX_REGISTERS > CUDA_THREAD_MAX_REGISTERS
#error "Maximum number of registers per thread exceeded"
#endif
#if CUDA_KERNEL_BRANCHED_MAX_REGISTERS > CUDA_THREAD_MAX_REGISTERS
#error "Maximum number of registers per thread exceeded"
#endif
/* kernels */
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
kernel_cuda_path_trace(float *buffer, uint *rng_state, int sample, int sx, int sy, int sw, int sh, int offset, int stride)
{
int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
if(x < sx + sw && y < sy + sh)
kernel_path_trace(NULL, buffer, rng_state, sample, x, y, offset, stride);
}
#ifdef __BRANCHED_PATH__
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_BRANCHED_MAX_REGISTERS)
kernel_cuda_branched_path_trace(float *buffer, uint *rng_state, int sample, int sx, int sy, int sw, int sh, int offset, int stride)
{
int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
if(x < sx + sw && y < sy + sh)
kernel_branched_path_trace(NULL, buffer, rng_state, sample, x, y, offset, stride);
}
#endif
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
kernel_cuda_convert_to_byte(uchar4 *rgba, float *buffer, float sample_scale, int sx, int sy, int sw, int sh, int offset, int stride)
{
int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
if(x < sx + sw && y < sy + sh)
kernel_film_convert_to_byte(NULL, rgba, buffer, sample_scale, x, y, offset, stride);
}
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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)
{
int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
if(x < sx + sw && y < sy + sh)
kernel_film_convert_to_half_float(NULL, rgba, buffer, sample_scale, x, y, offset, stride);
}
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
kernel_cuda_shader(uint4 *input, float4 *output, int type, int sx, int sw, int sample)
{
int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
if(x < sx + sw)
kernel_shader_evaluate(NULL, input, output, (ShaderEvalType)type, x, sample);
}
extern "C" __global__ void
CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
kernel_cuda_bake(uint4 *input, float4 *output, int type, int sx, int sw, int offset, int sample)
{
int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
if(x < sx + sw)
kernel_bake_evaluate(NULL, input, output, (ShaderEvalType)type, x, offset, sample);
}
#endif