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blender/intern/cycles/device/device_optix.cpp
Lukas Stockner 688e5c6d38 Fix T82351: Cycles: Tile stealing glitches with adaptive sampling 
In my testing this works, but it requires me to remove the min(start_sample...) part in the
adaptive sampling kernel, and I assume there's a reason why it was there?

Reviewed By: brecht

Maniphest Tasks: T82351

Differential Revision: https://developer.blender.org/D9445
2021-01-11 21:04:49 +01:00

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/*
* Copyright 2019, NVIDIA Corporation.
* Copyright 2019, 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.
*/
#ifdef WITH_OPTIX
# include "bvh/bvh.h"
# include "bvh/bvh_optix.h"
# include "device/cuda/device_cuda.h"
# include "device/device_denoising.h"
# include "device/device_intern.h"
# include "render/buffers.h"
# include "render/hair.h"
# include "render/mesh.h"
# include "render/object.h"
# include "render/scene.h"
# include "util/util_debug.h"
# include "util/util_logging.h"
# include "util/util_md5.h"
# include "util/util_path.h"
# include "util/util_progress.h"
# include "util/util_time.h"
# ifdef WITH_CUDA_DYNLOAD
# include <cuew.h>
// Do not use CUDA SDK headers when using CUEW
# define OPTIX_DONT_INCLUDE_CUDA
# endif
# include <optix_function_table_definition.h>
# include <optix_stubs.h>
// TODO(pmours): Disable this once drivers have native support
# define OPTIX_DENOISER_NO_PIXEL_STRIDE 1
CCL_NAMESPACE_BEGIN
/* Make sure this stays in sync with kernel_globals.h */
struct ShaderParams {
uint4 *input;
float4 *output;
int type;
int filter;
int sx;
int offset;
int sample;
};
struct KernelParams {
WorkTile tile;
KernelData data;
ShaderParams shader;
# define KERNEL_TEX(type, name) const type *name;
# include "kernel/kernel_textures.h"
# undef KERNEL_TEX
};
# define check_result_cuda(stmt) \
{ \
CUresult res = stmt; \
if (res != CUDA_SUCCESS) { \
const char *name; \
cuGetErrorName(res, &name); \
set_error(string_printf("%s in %s (device_optix.cpp:%d)", name, #stmt, __LINE__)); \
return; \
} \
} \
(void)0
# define check_result_cuda_ret(stmt) \
{ \
CUresult res = stmt; \
if (res != CUDA_SUCCESS) { \
const char *name; \
cuGetErrorName(res, &name); \
set_error(string_printf("%s in %s (device_optix.cpp:%d)", name, #stmt, __LINE__)); \
return false; \
} \
} \
(void)0
# define check_result_optix(stmt) \
{ \
enum OptixResult res = stmt; \
if (res != OPTIX_SUCCESS) { \
const char *name = optixGetErrorName(res); \
set_error(string_printf("%s in %s (device_optix.cpp:%d)", name, #stmt, __LINE__)); \
return; \
} \
} \
(void)0
# define check_result_optix_ret(stmt) \
{ \
enum OptixResult res = stmt; \
if (res != OPTIX_SUCCESS) { \
const char *name = optixGetErrorName(res); \
set_error(string_printf("%s in %s (device_optix.cpp:%d)", name, #stmt, __LINE__)); \
return false; \
} \
} \
(void)0
# define launch_filter_kernel(func_name, w, h, args) \
{ \
CUfunction func; \
check_result_cuda_ret(cuModuleGetFunction(&func, cuFilterModule, func_name)); \
check_result_cuda_ret(cuFuncSetCacheConfig(func, CU_FUNC_CACHE_PREFER_L1)); \
int threads; \
check_result_cuda_ret( \
cuFuncGetAttribute(&threads, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, func)); \
threads = (int)sqrt((float)threads); \
int xblocks = ((w) + threads - 1) / threads; \
int yblocks = ((h) + threads - 1) / threads; \
check_result_cuda_ret( \
cuLaunchKernel(func, xblocks, yblocks, 1, threads, threads, 1, 0, 0, args, 0)); \
} \
(void)0
class OptiXDevice : public CUDADevice {
// List of OptiX program groups
enum {
PG_RGEN,
PG_MISS,
PG_HITD, // Default hit group
PG_HITS, // __SHADOW_RECORD_ALL__ hit group
PG_HITL, // __BVH_LOCAL__ hit group (only used for triangles)
# if OPTIX_ABI_VERSION >= 36
PG_HITD_MOTION,
PG_HITS_MOTION,
# endif
PG_BAKE, // kernel_bake_evaluate
PG_DISP, // kernel_displace_evaluate
PG_BACK, // kernel_background_evaluate
PG_CALL,
NUM_PROGRAM_GROUPS = PG_CALL + 3
};
// List of OptiX pipelines
enum { PIP_PATH_TRACE, PIP_SHADER_EVAL, NUM_PIPELINES };
// A single shader binding table entry
struct SbtRecord {
char header[OPTIX_SBT_RECORD_HEADER_SIZE];
};
// Information stored about CUDA memory allocations
struct CUDAMem {
bool free_map_host = false;
CUarray array = NULL;
CUtexObject texobject = 0;
bool use_mapped_host = false;
};
// Helper class to manage current CUDA context
struct CUDAContextScope {
CUDAContextScope(CUcontext ctx)
{
cuCtxPushCurrent(ctx);
}
~CUDAContextScope()
{
cuCtxPopCurrent(NULL);
}
};
// Use a pool with multiple threads to support launches with multiple CUDA streams
TaskPool task_pool;
vector<CUstream> cuda_stream;
OptixDeviceContext context = NULL;
OptixModule optix_module = NULL; // All necessary OptiX kernels are in one module
OptixModule builtin_modules[2] = {};
OptixPipeline pipelines[NUM_PIPELINES] = {};
bool motion_blur = false;
device_vector<SbtRecord> sbt_data;
device_only_memory<KernelParams> launch_params;
OptixTraversableHandle tlas_handle = 0;
OptixDenoiser denoiser = NULL;
device_only_memory<unsigned char> denoiser_state;
int denoiser_input_passes = 0;
public:
OptiXDevice(DeviceInfo &info_, Stats &stats_, Profiler &profiler_, bool background_)
: CUDADevice(info_, stats_, profiler_, background_),
sbt_data(this, "__sbt", MEM_READ_ONLY),
launch_params(this, "__params"),
denoiser_state(this, "__denoiser_state")
{
// Store number of CUDA streams in device info
info.cpu_threads = DebugFlags().optix.cuda_streams;
// Make the CUDA context current
if (!cuContext) {
return; // Do not initialize if CUDA context creation failed already
}
const CUDAContextScope scope(cuContext);
// Create OptiX context for this device
OptixDeviceContextOptions options = {};
# ifdef WITH_CYCLES_LOGGING
options.logCallbackLevel = 4; // Fatal = 1, Error = 2, Warning = 3, Print = 4
options.logCallbackFunction =
[](unsigned int level, const char *, const char *message, void *) {
switch (level) {
case 1:
LOG_IF(FATAL, VLOG_IS_ON(1)) << message;
break;
case 2:
LOG_IF(ERROR, VLOG_IS_ON(1)) << message;
break;
case 3:
LOG_IF(WARNING, VLOG_IS_ON(1)) << message;
break;
case 4:
LOG_IF(INFO, VLOG_IS_ON(1)) << message;
break;
}
};
# endif
# if OPTIX_ABI_VERSION >= 41 && defined(WITH_CYCLES_DEBUG)
options.validationMode = OPTIX_DEVICE_CONTEXT_VALIDATION_MODE_ALL;
# endif
check_result_optix(optixDeviceContextCreate(cuContext, &options, &context));
# ifdef WITH_CYCLES_LOGGING
check_result_optix(optixDeviceContextSetLogCallback(
context, options.logCallbackFunction, options.logCallbackData, options.logCallbackLevel));
# endif
// Create launch streams
cuda_stream.resize(info.cpu_threads);
for (int i = 0; i < info.cpu_threads; ++i)
check_result_cuda(cuStreamCreate(&cuda_stream[i], CU_STREAM_NON_BLOCKING));
// Fix weird compiler bug that assigns wrong size
launch_params.data_elements = sizeof(KernelParams);
// Allocate launch parameter buffer memory on device
launch_params.alloc_to_device(info.cpu_threads);
}
~OptiXDevice()
{
// Stop processing any more tasks
task_pool.cancel();
// Make CUDA context current
const CUDAContextScope scope(cuContext);
sbt_data.free();
texture_info.free();
launch_params.free();
denoiser_state.free();
// Unload modules
if (optix_module != NULL)
optixModuleDestroy(optix_module);
for (unsigned int i = 0; i < 2; ++i)
if (builtin_modules[i] != NULL)
optixModuleDestroy(builtin_modules[i]);
for (unsigned int i = 0; i < NUM_PIPELINES; ++i)
if (pipelines[i] != NULL)
optixPipelineDestroy(pipelines[i]);
// Destroy launch streams
for (CUstream stream : cuda_stream)
cuStreamDestroy(stream);
if (denoiser != NULL)
optixDenoiserDestroy(denoiser);
optixDeviceContextDestroy(context);
}
private:
bool show_samples() const override
{
// Only show samples if not rendering multiple tiles in parallel
return info.cpu_threads == 1;
}
BVHLayoutMask get_bvh_layout_mask() const override
{
// CUDA kernels are used when doing baking, so need to build a BVH those can understand too!
if (optix_module == NULL)
return CUDADevice::get_bvh_layout_mask();
// OptiX has its own internal acceleration structure format
return BVH_LAYOUT_OPTIX;
}
string compile_kernel_get_common_cflags(const DeviceRequestedFeatures &requested_features,
bool filter,
bool /*split*/) override
{
// Split kernel is not supported in OptiX
string common_cflags = CUDADevice::compile_kernel_get_common_cflags(
requested_features, filter, false);
// Add OptiX SDK include directory to include paths
const char *optix_sdk_path = getenv("OPTIX_ROOT_DIR");
if (optix_sdk_path) {
common_cflags += string_printf(" -I\"%s/include\"", optix_sdk_path);
}
// Specialization for shader raytracing
if (requested_features.use_shader_raytrace) {
common_cflags += " --keep-device-functions";
}
else {
common_cflags += " -D __NO_SHADER_RAYTRACE__";
}
return common_cflags;
}
bool load_kernels(const DeviceRequestedFeatures &requested_features) override
{
if (have_error()) {
// Abort early if context creation failed already
return false;
}
// Load CUDA modules because we need some of the utility kernels
if (!CUDADevice::load_kernels(requested_features)) {
return false;
}
// Baking is currently performed using CUDA, so no need to load OptiX kernels
if (requested_features.use_baking) {
return true;
}
const CUDAContextScope scope(cuContext);
// Unload existing OptiX module and pipelines first
if (optix_module != NULL) {
optixModuleDestroy(optix_module);
optix_module = NULL;
}
for (unsigned int i = 0; i < 2; ++i) {
if (builtin_modules[i] != NULL) {
optixModuleDestroy(builtin_modules[i]);
builtin_modules[i] = NULL;
}
}
for (unsigned int i = 0; i < NUM_PIPELINES; ++i) {
if (pipelines[i] != NULL) {
optixPipelineDestroy(pipelines[i]);
pipelines[i] = NULL;
}
}
OptixModuleCompileOptions module_options;
module_options.maxRegisterCount = 0; // Do not set an explicit register limit
# ifdef WITH_CYCLES_DEBUG
module_options.optLevel = OPTIX_COMPILE_OPTIMIZATION_LEVEL_0;
module_options.debugLevel = OPTIX_COMPILE_DEBUG_LEVEL_FULL;
# else
module_options.optLevel = OPTIX_COMPILE_OPTIMIZATION_LEVEL_3;
module_options.debugLevel = OPTIX_COMPILE_DEBUG_LEVEL_LINEINFO;
# endif
# if OPTIX_ABI_VERSION >= 41
module_options.boundValues = nullptr;
module_options.numBoundValues = 0;
# endif
OptixPipelineCompileOptions pipeline_options;
// Default to no motion blur and two-level graph, since it is the fastest option
pipeline_options.usesMotionBlur = false;
pipeline_options.traversableGraphFlags =
OPTIX_TRAVERSABLE_GRAPH_FLAG_ALLOW_SINGLE_LEVEL_INSTANCING;
pipeline_options.numPayloadValues = 6;
pipeline_options.numAttributeValues = 2; // u, v
pipeline_options.exceptionFlags = OPTIX_EXCEPTION_FLAG_NONE;
pipeline_options.pipelineLaunchParamsVariableName = "__params"; // See kernel_globals.h
# if OPTIX_ABI_VERSION >= 36
pipeline_options.usesPrimitiveTypeFlags = OPTIX_PRIMITIVE_TYPE_FLAGS_TRIANGLE;
if (requested_features.use_hair) {
if (DebugFlags().optix.curves_api && requested_features.use_hair_thick) {
pipeline_options.usesPrimitiveTypeFlags |= OPTIX_PRIMITIVE_TYPE_FLAGS_ROUND_CUBIC_BSPLINE;
}
else {
pipeline_options.usesPrimitiveTypeFlags |= OPTIX_PRIMITIVE_TYPE_FLAGS_CUSTOM;
}
}
# endif
// Keep track of whether motion blur is enabled, so to enable/disable motion in BVH builds
// This is necessary since objects may be reported to have motion if the Vector pass is
// active, but may still need to be rendered without motion blur if that isn't active as well
motion_blur = requested_features.use_object_motion;
if (motion_blur) {
pipeline_options.usesMotionBlur = true;
// Motion blur can insert motion transforms into the traversal graph
// It is no longer a two-level graph then, so need to set flags to allow any configuration
pipeline_options.traversableGraphFlags = OPTIX_TRAVERSABLE_GRAPH_FLAG_ALLOW_ANY;
}
{ // Load and compile PTX module with OptiX kernels
string ptx_data, ptx_filename = path_get(requested_features.use_shader_raytrace ?
"lib/kernel_optix_shader_raytrace.ptx" :
"lib/kernel_optix.ptx");
if (use_adaptive_compilation() || path_file_size(ptx_filename) == -1) {
if (!getenv("OPTIX_ROOT_DIR")) {
set_error(
"Missing OPTIX_ROOT_DIR environment variable (which must be set with the path to "
"the Optix SDK to be able to compile Optix kernels on demand).");
return false;
}
ptx_filename = compile_kernel(requested_features, "kernel_optix", "optix", true);
}
if (ptx_filename.empty() || !path_read_text(ptx_filename, ptx_data)) {
set_error("Failed to load OptiX kernel from '" + ptx_filename + "'");
return false;
}
check_result_optix_ret(optixModuleCreateFromPTX(context,
&module_options,
&pipeline_options,
ptx_data.data(),
ptx_data.size(),
nullptr,
0,
&optix_module));
}
// Create program groups
OptixProgramGroup groups[NUM_PROGRAM_GROUPS] = {};
OptixProgramGroupDesc group_descs[NUM_PROGRAM_GROUPS] = {};
OptixProgramGroupOptions group_options = {}; // There are no options currently
group_descs[PG_RGEN].kind = OPTIX_PROGRAM_GROUP_KIND_RAYGEN;
group_descs[PG_RGEN].raygen.module = optix_module;
// Ignore branched integrator for now (see "requested_features.use_integrator_branched")
group_descs[PG_RGEN].raygen.entryFunctionName = "__raygen__kernel_optix_path_trace";
group_descs[PG_MISS].kind = OPTIX_PROGRAM_GROUP_KIND_MISS;
group_descs[PG_MISS].miss.module = optix_module;
group_descs[PG_MISS].miss.entryFunctionName = "__miss__kernel_optix_miss";
group_descs[PG_HITD].kind = OPTIX_PROGRAM_GROUP_KIND_HITGROUP;
group_descs[PG_HITD].hitgroup.moduleCH = optix_module;
group_descs[PG_HITD].hitgroup.entryFunctionNameCH = "__closesthit__kernel_optix_hit";
group_descs[PG_HITD].hitgroup.moduleAH = optix_module;
group_descs[PG_HITD].hitgroup.entryFunctionNameAH = "__anyhit__kernel_optix_visibility_test";
group_descs[PG_HITS].kind = OPTIX_PROGRAM_GROUP_KIND_HITGROUP;
group_descs[PG_HITS].hitgroup.moduleAH = optix_module;
group_descs[PG_HITS].hitgroup.entryFunctionNameAH = "__anyhit__kernel_optix_shadow_all_hit";
if (requested_features.use_hair) {
group_descs[PG_HITD].hitgroup.moduleIS = optix_module;
group_descs[PG_HITS].hitgroup.moduleIS = optix_module;
// Add curve intersection programs
if (requested_features.use_hair_thick) {
// Slower programs for thick hair since that also slows down ribbons.
// Ideally this should not be needed.
group_descs[PG_HITD].hitgroup.entryFunctionNameIS = "__intersection__curve_all";
group_descs[PG_HITS].hitgroup.entryFunctionNameIS = "__intersection__curve_all";
}
else {
group_descs[PG_HITD].hitgroup.entryFunctionNameIS = "__intersection__curve_ribbon";
group_descs[PG_HITS].hitgroup.entryFunctionNameIS = "__intersection__curve_ribbon";
}
# if OPTIX_ABI_VERSION >= 36
if (DebugFlags().optix.curves_api && requested_features.use_hair_thick) {
OptixBuiltinISOptions builtin_options;
builtin_options.builtinISModuleType = OPTIX_PRIMITIVE_TYPE_ROUND_CUBIC_BSPLINE;
builtin_options.usesMotionBlur = false;
check_result_optix_ret(optixBuiltinISModuleGet(
context, &module_options, &pipeline_options, &builtin_options, &builtin_modules[0]));
group_descs[PG_HITD].hitgroup.moduleIS = builtin_modules[0];
group_descs[PG_HITD].hitgroup.entryFunctionNameIS = nullptr;
group_descs[PG_HITS].hitgroup.moduleIS = builtin_modules[0];
group_descs[PG_HITS].hitgroup.entryFunctionNameIS = nullptr;
if (motion_blur) {
builtin_options.usesMotionBlur = true;
check_result_optix_ret(optixBuiltinISModuleGet(
context, &module_options, &pipeline_options, &builtin_options, &builtin_modules[1]));
group_descs[PG_HITD_MOTION] = group_descs[PG_HITD];
group_descs[PG_HITD_MOTION].hitgroup.moduleIS = builtin_modules[1];
group_descs[PG_HITS_MOTION] = group_descs[PG_HITS];
group_descs[PG_HITS_MOTION].hitgroup.moduleIS = builtin_modules[1];
}
}
# endif
}
if (requested_features.use_subsurface || requested_features.use_shader_raytrace) {
// Add hit group for local intersections
group_descs[PG_HITL].kind = OPTIX_PROGRAM_GROUP_KIND_HITGROUP;
group_descs[PG_HITL].hitgroup.moduleAH = optix_module;
group_descs[PG_HITL].hitgroup.entryFunctionNameAH = "__anyhit__kernel_optix_local_hit";
}
if (requested_features.use_baking) {
group_descs[PG_BAKE].kind = OPTIX_PROGRAM_GROUP_KIND_RAYGEN;
group_descs[PG_BAKE].raygen.module = optix_module;
group_descs[PG_BAKE].raygen.entryFunctionName = "__raygen__kernel_optix_bake";
}
if (requested_features.use_true_displacement) {
group_descs[PG_DISP].kind = OPTIX_PROGRAM_GROUP_KIND_RAYGEN;
group_descs[PG_DISP].raygen.module = optix_module;
group_descs[PG_DISP].raygen.entryFunctionName = "__raygen__kernel_optix_displace";
}
if (requested_features.use_background_light) {
group_descs[PG_BACK].kind = OPTIX_PROGRAM_GROUP_KIND_RAYGEN;
group_descs[PG_BACK].raygen.module = optix_module;
group_descs[PG_BACK].raygen.entryFunctionName = "__raygen__kernel_optix_background";
}
// Shader raytracing replaces some functions with direct callables
if (requested_features.use_shader_raytrace) {
group_descs[PG_CALL + 0].kind = OPTIX_PROGRAM_GROUP_KIND_CALLABLES;
group_descs[PG_CALL + 0].callables.moduleDC = optix_module;
group_descs[PG_CALL + 0].callables.entryFunctionNameDC = "__direct_callable__svm_eval_nodes";
group_descs[PG_CALL + 1].kind = OPTIX_PROGRAM_GROUP_KIND_CALLABLES;
group_descs[PG_CALL + 1].callables.moduleDC = optix_module;
group_descs[PG_CALL + 1].callables.entryFunctionNameDC =
"__direct_callable__kernel_volume_shadow";
group_descs[PG_CALL + 2].kind = OPTIX_PROGRAM_GROUP_KIND_CALLABLES;
group_descs[PG_CALL + 2].callables.moduleDC = optix_module;
group_descs[PG_CALL + 2].callables.entryFunctionNameDC =
"__direct_callable__subsurface_scatter_multi_setup";
}
check_result_optix_ret(optixProgramGroupCreate(
context, group_descs, NUM_PROGRAM_GROUPS, &group_options, nullptr, 0, groups));
// Get program stack sizes
OptixStackSizes stack_size[NUM_PROGRAM_GROUPS] = {};
// Set up SBT, which in this case is used only to select between different programs
sbt_data.alloc(NUM_PROGRAM_GROUPS);
memset(sbt_data.host_pointer, 0, sizeof(SbtRecord) * NUM_PROGRAM_GROUPS);
for (unsigned int i = 0; i < NUM_PROGRAM_GROUPS; ++i) {
check_result_optix_ret(optixSbtRecordPackHeader(groups[i], &sbt_data[i]));
check_result_optix_ret(optixProgramGroupGetStackSize(groups[i], &stack_size[i]));
}
sbt_data.copy_to_device(); // Upload SBT to device
// Calculate maximum trace continuation stack size
unsigned int trace_css = stack_size[PG_HITD].cssCH;
// This is based on the maximum of closest-hit and any-hit/intersection programs
trace_css = std::max(trace_css, stack_size[PG_HITD].cssIS + stack_size[PG_HITD].cssAH);
trace_css = std::max(trace_css, stack_size[PG_HITS].cssIS + stack_size[PG_HITS].cssAH);
trace_css = std::max(trace_css, stack_size[PG_HITL].cssIS + stack_size[PG_HITL].cssAH);
# if OPTIX_ABI_VERSION >= 36
trace_css = std::max(trace_css,
stack_size[PG_HITD_MOTION].cssIS + stack_size[PG_HITD_MOTION].cssAH);
trace_css = std::max(trace_css,
stack_size[PG_HITS_MOTION].cssIS + stack_size[PG_HITS_MOTION].cssAH);
# endif
OptixPipelineLinkOptions link_options;
link_options.maxTraceDepth = 1;
# ifdef WITH_CYCLES_DEBUG
link_options.debugLevel = OPTIX_COMPILE_DEBUG_LEVEL_FULL;
# else
link_options.debugLevel = OPTIX_COMPILE_DEBUG_LEVEL_LINEINFO;
# endif
# if OPTIX_ABI_VERSION < 24
link_options.overrideUsesMotionBlur = motion_blur;
# endif
{ // Create path tracing pipeline
vector<OptixProgramGroup> pipeline_groups;
pipeline_groups.reserve(NUM_PROGRAM_GROUPS);
pipeline_groups.push_back(groups[PG_RGEN]);
pipeline_groups.push_back(groups[PG_MISS]);
pipeline_groups.push_back(groups[PG_HITD]);
pipeline_groups.push_back(groups[PG_HITS]);
pipeline_groups.push_back(groups[PG_HITL]);
# if OPTIX_ABI_VERSION >= 36
if (motion_blur) {
pipeline_groups.push_back(groups[PG_HITD_MOTION]);
pipeline_groups.push_back(groups[PG_HITS_MOTION]);
}
# endif
if (requested_features.use_shader_raytrace) {
pipeline_groups.push_back(groups[PG_CALL + 0]);
pipeline_groups.push_back(groups[PG_CALL + 1]);
pipeline_groups.push_back(groups[PG_CALL + 2]);
}
check_result_optix_ret(optixPipelineCreate(context,
&pipeline_options,
&link_options,
pipeline_groups.data(),
pipeline_groups.size(),
nullptr,
0,
&pipelines[PIP_PATH_TRACE]));
// Combine ray generation and trace continuation stack size
const unsigned int css = stack_size[PG_RGEN].cssRG + link_options.maxTraceDepth * trace_css;
// Max direct callable depth is one of the following, so combine accordingly
// - __raygen__ -> svm_eval_nodes
// - __raygen__ -> kernel_volume_shadow -> svm_eval_nodes
// - __raygen__ -> subsurface_scatter_multi_setup -> svm_eval_nodes
const unsigned int dss = stack_size[PG_CALL + 0].dssDC +
std::max(stack_size[PG_CALL + 1].dssDC,
stack_size[PG_CALL + 2].dssDC);
// Set stack size depending on pipeline options
check_result_optix_ret(
optixPipelineSetStackSize(pipelines[PIP_PATH_TRACE],
0,
requested_features.use_shader_raytrace ? dss : 0,
css,
motion_blur ? 3 : 2));
}
// Only need to create shader evaluation pipeline if one of these features is used:
const bool use_shader_eval_pipeline = requested_features.use_baking ||
requested_features.use_background_light ||
requested_features.use_true_displacement;
if (use_shader_eval_pipeline) { // Create shader evaluation pipeline
vector<OptixProgramGroup> pipeline_groups;
pipeline_groups.reserve(NUM_PROGRAM_GROUPS);
pipeline_groups.push_back(groups[PG_BAKE]);
pipeline_groups.push_back(groups[PG_DISP]);
pipeline_groups.push_back(groups[PG_BACK]);
pipeline_groups.push_back(groups[PG_MISS]);
pipeline_groups.push_back(groups[PG_HITD]);
pipeline_groups.push_back(groups[PG_HITS]);
pipeline_groups.push_back(groups[PG_HITL]);
# if OPTIX_ABI_VERSION >= 36
if (motion_blur) {
pipeline_groups.push_back(groups[PG_HITD_MOTION]);
pipeline_groups.push_back(groups[PG_HITS_MOTION]);
}
# endif
if (requested_features.use_shader_raytrace) {
pipeline_groups.push_back(groups[PG_CALL + 0]);
pipeline_groups.push_back(groups[PG_CALL + 1]);
pipeline_groups.push_back(groups[PG_CALL + 2]);
}
check_result_optix_ret(optixPipelineCreate(context,
&pipeline_options,
&link_options,
pipeline_groups.data(),
pipeline_groups.size(),
nullptr,
0,
&pipelines[PIP_SHADER_EVAL]));
// Calculate continuation stack size based on the maximum of all ray generation stack sizes
const unsigned int css = std::max(stack_size[PG_BAKE].cssRG,
std::max(stack_size[PG_DISP].cssRG,
stack_size[PG_BACK].cssRG)) +
link_options.maxTraceDepth * trace_css;
const unsigned int dss = stack_size[PG_CALL + 0].dssDC +
std::max(stack_size[PG_CALL + 1].dssDC,
stack_size[PG_CALL + 2].dssDC);
check_result_optix_ret(
optixPipelineSetStackSize(pipelines[PIP_SHADER_EVAL],
0,
requested_features.use_shader_raytrace ? dss : 0,
css,
motion_blur ? 3 : 2));
}
// Clean up program group objects
for (unsigned int i = 0; i < NUM_PROGRAM_GROUPS; ++i) {
optixProgramGroupDestroy(groups[i]);
}
return true;
}
void thread_run(DeviceTask &task, int thread_index) // Main task entry point
{
if (have_error())
return; // Abort early if there was an error previously
if (task.type == DeviceTask::RENDER) {
if (thread_index != 0) {
// Only execute denoising in a single thread (see also 'task_add')
task.tile_types &= ~RenderTile::DENOISE;
}
RenderTile tile;
while (task.acquire_tile(this, tile, task.tile_types)) {
if (tile.task == RenderTile::PATH_TRACE)
launch_render(task, tile, thread_index);
else if (tile.task == RenderTile::BAKE) {
// Perform baking using CUDA, since it is not currently implemented in OptiX
device_vector<WorkTile> work_tiles(this, "work_tiles", MEM_READ_ONLY);
CUDADevice::render(task, tile, work_tiles);
}
else if (tile.task == RenderTile::DENOISE)
launch_denoise(task, tile);
task.release_tile(tile);
if (task.get_cancel() && !task.need_finish_queue)
break; // User requested cancellation
else if (have_error())
break; // Abort rendering when encountering an error
}
}
else if (task.type == DeviceTask::SHADER) {
launch_shader_eval(task, thread_index);
}
else if (task.type == DeviceTask::DENOISE_BUFFER) {
// Set up a single tile that covers the whole task and denoise it
RenderTile tile;
tile.x = task.x;
tile.y = task.y;
tile.w = task.w;
tile.h = task.h;
tile.buffer = task.buffer;
tile.num_samples = task.num_samples;
tile.start_sample = task.sample;
tile.offset = task.offset;
tile.stride = task.stride;
tile.buffers = task.buffers;
launch_denoise(task, tile);
}
}
void launch_render(DeviceTask &task, RenderTile &rtile, int thread_index)
{
assert(thread_index < launch_params.data_size);
// Keep track of total render time of this tile
const scoped_timer timer(&rtile.buffers->render_time);
WorkTile wtile;
wtile.x = rtile.x;
wtile.y = rtile.y;
wtile.w = rtile.w;
wtile.h = rtile.h;
wtile.offset = rtile.offset;
wtile.stride = rtile.stride;
wtile.buffer = (float *)rtile.buffer;
const int end_sample = rtile.start_sample + rtile.num_samples;
// Keep this number reasonable to avoid running into TDRs
int step_samples = (info.display_device ? 8 : 32);
// Offset into launch params buffer so that streams use separate data
device_ptr launch_params_ptr = launch_params.device_pointer +
thread_index * launch_params.data_elements;
const CUDAContextScope scope(cuContext);
for (int sample = rtile.start_sample; sample < end_sample;) {
// Copy work tile information to device
wtile.start_sample = sample;
wtile.num_samples = step_samples;
if (task.adaptive_sampling.use) {
wtile.num_samples = task.adaptive_sampling.align_samples(sample, step_samples);
}
wtile.num_samples = min(wtile.num_samples, end_sample - sample);
device_ptr d_wtile_ptr = launch_params_ptr + offsetof(KernelParams, tile);
check_result_cuda(
cuMemcpyHtoDAsync(d_wtile_ptr, &wtile, sizeof(wtile), cuda_stream[thread_index]));
OptixShaderBindingTable sbt_params = {};
sbt_params.raygenRecord = sbt_data.device_pointer + PG_RGEN * sizeof(SbtRecord);
sbt_params.missRecordBase = sbt_data.device_pointer + PG_MISS * sizeof(SbtRecord);
sbt_params.missRecordStrideInBytes = sizeof(SbtRecord);
sbt_params.missRecordCount = 1;
sbt_params.hitgroupRecordBase = sbt_data.device_pointer + PG_HITD * sizeof(SbtRecord);
sbt_params.hitgroupRecordStrideInBytes = sizeof(SbtRecord);
# if OPTIX_ABI_VERSION >= 36
sbt_params.hitgroupRecordCount = 5; // PG_HITD(_MOTION), PG_HITS(_MOTION), PG_HITL
# else
sbt_params.hitgroupRecordCount = 3; // PG_HITD, PG_HITS, PG_HITL
# endif
sbt_params.callablesRecordBase = sbt_data.device_pointer + PG_CALL * sizeof(SbtRecord);
sbt_params.callablesRecordCount = 3;
sbt_params.callablesRecordStrideInBytes = sizeof(SbtRecord);
// Launch the ray generation program
check_result_optix(optixLaunch(pipelines[PIP_PATH_TRACE],
cuda_stream[thread_index],
launch_params_ptr,
launch_params.data_elements,
&sbt_params,
// Launch with samples close to each other for better locality
wtile.w * wtile.num_samples,
wtile.h,
1));
// Run the adaptive sampling kernels at selected samples aligned to step samples.
uint filter_sample = wtile.start_sample + wtile.num_samples - 1;
if (task.adaptive_sampling.use && task.adaptive_sampling.need_filter(filter_sample)) {
adaptive_sampling_filter(filter_sample, &wtile, d_wtile_ptr, cuda_stream[thread_index]);
}
// Wait for launch to finish
check_result_cuda(cuStreamSynchronize(cuda_stream[thread_index]));
// Update current sample, so it is displayed correctly
sample += wtile.num_samples;
rtile.sample = sample;
// Update task progress after the kernel completed rendering
task.update_progress(&rtile, wtile.w * wtile.h * wtile.num_samples);
if (task.get_cancel() && !task.need_finish_queue)
return; // Cancel rendering
}
// Finalize adaptive sampling
if (task.adaptive_sampling.use) {
device_ptr d_wtile_ptr = launch_params_ptr + offsetof(KernelParams, tile);
adaptive_sampling_post(rtile, &wtile, d_wtile_ptr, cuda_stream[thread_index]);
check_result_cuda(cuStreamSynchronize(cuda_stream[thread_index]));
task.update_progress(&rtile, rtile.w * rtile.h * wtile.num_samples);
}
}
bool launch_denoise(DeviceTask &task, RenderTile &rtile)
{
// Update current sample (for display and NLM denoising task)
rtile.sample = rtile.start_sample + rtile.num_samples;
// Make CUDA context current now, since it is used for both denoising tasks
const CUDAContextScope scope(cuContext);
// Choose between OptiX and NLM denoising
if (task.denoising.type == DENOISER_OPTIX) {
// Map neighboring tiles onto this device, indices are as following:
// Where index 4 is the center tile and index 9 is the target for the result.
// 0 1 2
// 3 4 5
// 6 7 8 9
RenderTileNeighbors neighbors(rtile);
task.map_neighbor_tiles(neighbors, this);
RenderTile &center_tile = neighbors.tiles[RenderTileNeighbors::CENTER];
RenderTile &target_tile = neighbors.target;
rtile = center_tile; // Tile may have been modified by mapping code
// Calculate size of the tile to denoise (including overlap)
int4 rect = center_tile.bounds();
// Overlap between tiles has to be at least 64 pixels
// TODO(pmours): Query this value from OptiX
rect = rect_expand(rect, 64);
int4 clip_rect = neighbors.bounds();
rect = rect_clip(rect, clip_rect);
int2 rect_size = make_int2(rect.z - rect.x, rect.w - rect.y);
int2 overlap_offset = make_int2(rtile.x - rect.x, rtile.y - rect.y);
// Calculate byte offsets and strides
int pixel_stride = task.pass_stride * (int)sizeof(float);
int pixel_offset = (rtile.offset + rtile.x + rtile.y * rtile.stride) * pixel_stride;
const int pass_offset[3] = {
(task.pass_denoising_data + DENOISING_PASS_COLOR) * (int)sizeof(float),
(task.pass_denoising_data + DENOISING_PASS_ALBEDO) * (int)sizeof(float),
(task.pass_denoising_data + DENOISING_PASS_NORMAL) * (int)sizeof(float)};
// Start with the current tile pointer offset
int input_stride = pixel_stride;
device_ptr input_ptr = rtile.buffer + pixel_offset;
// Copy tile data into a common buffer if necessary
device_only_memory<float> input(this, "denoiser input");
device_vector<TileInfo> tile_info_mem(this, "denoiser tile info", MEM_READ_WRITE);
bool contiguous_memory = true;
for (int i = 0; i < RenderTileNeighbors::SIZE; i++) {
if (neighbors.tiles[i].buffer && neighbors.tiles[i].buffer != rtile.buffer) {
contiguous_memory = false;
}
}
if (contiguous_memory) {
// Tiles are in continous memory, so can just subtract overlap offset
input_ptr -= (overlap_offset.x + overlap_offset.y * rtile.stride) * pixel_stride;
// Stride covers the whole width of the image and not just a single tile
input_stride *= rtile.stride;
}
else {
// Adjacent tiles are in separate memory regions, so need to copy them into a single one
input.alloc_to_device(rect_size.x * rect_size.y * task.pass_stride);
// Start with the new input buffer
input_ptr = input.device_pointer;
// Stride covers the width of the new input buffer, which includes tile width and overlap
input_stride *= rect_size.x;
TileInfo *tile_info = tile_info_mem.alloc(1);
for (int i = 0; i < RenderTileNeighbors::SIZE; i++) {
tile_info->offsets[i] = neighbors.tiles[i].offset;
tile_info->strides[i] = neighbors.tiles[i].stride;
tile_info->buffers[i] = neighbors.tiles[i].buffer;
}
tile_info->x[0] = neighbors.tiles[3].x;
tile_info->x[1] = neighbors.tiles[4].x;
tile_info->x[2] = neighbors.tiles[5].x;
tile_info->x[3] = neighbors.tiles[5].x + neighbors.tiles[5].w;
tile_info->y[0] = neighbors.tiles[1].y;
tile_info->y[1] = neighbors.tiles[4].y;
tile_info->y[2] = neighbors.tiles[7].y;
tile_info->y[3] = neighbors.tiles[7].y + neighbors.tiles[7].h;
tile_info_mem.copy_to_device();
void *args[] = {
&input.device_pointer, &tile_info_mem.device_pointer, &rect.x, &task.pass_stride};
launch_filter_kernel("kernel_cuda_filter_copy_input", rect_size.x, rect_size.y, args);
}
# if OPTIX_DENOISER_NO_PIXEL_STRIDE
device_only_memory<float> input_rgb(this, "denoiser input rgb");
input_rgb.alloc_to_device(rect_size.x * rect_size.y * 3 * task.denoising.input_passes);
void *input_args[] = {&input_rgb.device_pointer,
&input_ptr,
&rect_size.x,
&rect_size.y,
&input_stride,
&task.pass_stride,
const_cast<int *>(pass_offset),
&task.denoising.input_passes,
&rtile.sample};
launch_filter_kernel(
"kernel_cuda_filter_convert_to_rgb", rect_size.x, rect_size.y, input_args);
input_ptr = input_rgb.device_pointer;
pixel_stride = 3 * sizeof(float);
input_stride = rect_size.x * pixel_stride;
# endif
const bool recreate_denoiser = (denoiser == NULL) ||
(task.denoising.input_passes != denoiser_input_passes);
if (recreate_denoiser) {
// Destroy existing handle before creating new one
if (denoiser != NULL) {
optixDenoiserDestroy(denoiser);
}
// Create OptiX denoiser handle on demand when it is first used
OptixDenoiserOptions denoiser_options;
assert(task.denoising.input_passes >= 1 && task.denoising.input_passes <= 3);
denoiser_options.inputKind = static_cast<OptixDenoiserInputKind>(
OPTIX_DENOISER_INPUT_RGB + (task.denoising.input_passes - 1));
# if OPTIX_ABI_VERSION < 28
denoiser_options.pixelFormat = OPTIX_PIXEL_FORMAT_FLOAT3;
# endif
check_result_optix_ret(optixDenoiserCreate(context, &denoiser_options, &denoiser));
check_result_optix_ret(
optixDenoiserSetModel(denoiser, OPTIX_DENOISER_MODEL_KIND_HDR, NULL, 0));
// OptiX denoiser handle was created with the requested number of input passes
denoiser_input_passes = task.denoising.input_passes;
}
OptixDenoiserSizes sizes = {};
check_result_optix_ret(
optixDenoiserComputeMemoryResources(denoiser, rect_size.x, rect_size.y, &sizes));
# if OPTIX_ABI_VERSION < 28
const size_t scratch_size = sizes.recommendedScratchSizeInBytes;
# else
const size_t scratch_size = sizes.withOverlapScratchSizeInBytes;
# endif
const size_t scratch_offset = sizes.stateSizeInBytes;
// Allocate denoiser state if tile size has changed since last setup
if (recreate_denoiser || (denoiser_state.data_width != rect_size.x ||
denoiser_state.data_height != rect_size.y)) {
denoiser_state.alloc_to_device(scratch_offset + scratch_size);
// Initialize denoiser state for the current tile size
check_result_optix_ret(optixDenoiserSetup(denoiser,
0,
rect_size.x,
rect_size.y,
denoiser_state.device_pointer,
scratch_offset,
denoiser_state.device_pointer + scratch_offset,
scratch_size));
denoiser_state.data_width = rect_size.x;
denoiser_state.data_height = rect_size.y;
}
// Set up input and output layer information
OptixImage2D input_layers[3] = {};
OptixImage2D output_layers[1] = {};
for (int i = 0; i < 3; ++i) {
# if OPTIX_DENOISER_NO_PIXEL_STRIDE
input_layers[i].data = input_ptr + (rect_size.x * rect_size.y * pixel_stride * i);
# else
input_layers[i].data = input_ptr + pass_offset[i];
# endif
input_layers[i].width = rect_size.x;
input_layers[i].height = rect_size.y;
input_layers[i].rowStrideInBytes = input_stride;
input_layers[i].pixelStrideInBytes = pixel_stride;
input_layers[i].format = OPTIX_PIXEL_FORMAT_FLOAT3;
}
# if OPTIX_DENOISER_NO_PIXEL_STRIDE
output_layers[0].data = input_ptr;
output_layers[0].width = rect_size.x;
output_layers[0].height = rect_size.y;
output_layers[0].rowStrideInBytes = input_stride;
output_layers[0].pixelStrideInBytes = pixel_stride;
int2 output_offset = overlap_offset;
overlap_offset = make_int2(0, 0); // Not supported by denoiser API, so apply manually
# else
output_layers[0].data = target_tile.buffer + pixel_offset;
output_layers[0].width = target_tile.w;
output_layers[0].height = target_tile.h;
output_layers[0].rowStrideInBytes = target_tile.stride * pixel_stride;
output_layers[0].pixelStrideInBytes = pixel_stride;
# endif
output_layers[0].format = OPTIX_PIXEL_FORMAT_FLOAT3;
// Finally run denonising
OptixDenoiserParams params = {}; // All parameters are disabled/zero
check_result_optix_ret(optixDenoiserInvoke(denoiser,
0,
&params,
denoiser_state.device_pointer,
scratch_offset,
input_layers,
task.denoising.input_passes,
overlap_offset.x,
overlap_offset.y,
output_layers,
denoiser_state.device_pointer + scratch_offset,
scratch_size));
# if OPTIX_DENOISER_NO_PIXEL_STRIDE
void *output_args[] = {&input_ptr,
&target_tile.buffer,
&output_offset.x,
&output_offset.y,
&rect_size.x,
&rect_size.y,
&target_tile.x,
&target_tile.y,
&target_tile.w,
&target_tile.h,
&target_tile.offset,
&target_tile.stride,
&task.pass_stride,
&rtile.sample};
launch_filter_kernel(
"kernel_cuda_filter_convert_from_rgb", target_tile.w, target_tile.h, output_args);
# endif
check_result_cuda_ret(cuStreamSynchronize(0));
task.unmap_neighbor_tiles(neighbors, this);
}
else {
// Run CUDA denoising kernels
DenoisingTask denoising(this, task);
CUDADevice::denoise(rtile, denoising);
}
// Update task progress after the denoiser completed processing
task.update_progress(&rtile, rtile.w * rtile.h);
return true;
}
void launch_shader_eval(DeviceTask &task, int thread_index)
{
unsigned int rgen_index = PG_BACK;
if (task.shader_eval_type >= SHADER_EVAL_BAKE)
rgen_index = PG_BAKE;
if (task.shader_eval_type == SHADER_EVAL_DISPLACE)
rgen_index = PG_DISP;
const CUDAContextScope scope(cuContext);
device_ptr launch_params_ptr = launch_params.device_pointer +
thread_index * launch_params.data_elements;
for (int sample = 0; sample < task.num_samples; ++sample) {
ShaderParams params;
params.input = (uint4 *)task.shader_input;
params.output = (float4 *)task.shader_output;
params.type = task.shader_eval_type;
params.filter = task.shader_filter;
params.sx = task.shader_x;
params.offset = task.offset;
params.sample = sample;
check_result_cuda(cuMemcpyHtoDAsync(launch_params_ptr + offsetof(KernelParams, shader),
&params,
sizeof(params),
cuda_stream[thread_index]));
OptixShaderBindingTable sbt_params = {};
sbt_params.raygenRecord = sbt_data.device_pointer + rgen_index * sizeof(SbtRecord);
sbt_params.missRecordBase = sbt_data.device_pointer + PG_MISS * sizeof(SbtRecord);
sbt_params.missRecordStrideInBytes = sizeof(SbtRecord);
sbt_params.missRecordCount = 1;
sbt_params.hitgroupRecordBase = sbt_data.device_pointer + PG_HITD * sizeof(SbtRecord);
sbt_params.hitgroupRecordStrideInBytes = sizeof(SbtRecord);
# if OPTIX_ABI_VERSION >= 36
sbt_params.hitgroupRecordCount = 5; // PG_HITD(_MOTION), PG_HITS(_MOTION), PG_HITL
# else
sbt_params.hitgroupRecordCount = 3; // PG_HITD, PG_HITS, PG_HITL
# endif
sbt_params.callablesRecordBase = sbt_data.device_pointer + PG_CALL * sizeof(SbtRecord);
sbt_params.callablesRecordCount = 3;
sbt_params.callablesRecordStrideInBytes = sizeof(SbtRecord);
check_result_optix(optixLaunch(pipelines[PIP_SHADER_EVAL],
cuda_stream[thread_index],
launch_params_ptr,
launch_params.data_elements,
&sbt_params,
task.shader_w,
1,
1));
check_result_cuda(cuStreamSynchronize(cuda_stream[thread_index]));
task.update_progress(NULL);
}
}
bool build_optix_bvh(BVHOptiX *bvh,
OptixBuildOperation operation,
const OptixBuildInput &build_input,
uint16_t num_motion_steps)
{
const CUDAContextScope scope(cuContext);
// Compute memory usage
OptixAccelBufferSizes sizes = {};
OptixAccelBuildOptions options;
options.operation = operation;
if (background) {
// Prefer best performance and lowest memory consumption in background
options.buildFlags = OPTIX_BUILD_FLAG_PREFER_FAST_TRACE | OPTIX_BUILD_FLAG_ALLOW_COMPACTION;
}
else {
// Prefer fast updates in viewport
options.buildFlags = OPTIX_BUILD_FLAG_PREFER_FAST_BUILD | OPTIX_BUILD_FLAG_ALLOW_UPDATE;
}
options.motionOptions.numKeys = num_motion_steps;
options.motionOptions.flags = OPTIX_MOTION_FLAG_START_VANISH | OPTIX_MOTION_FLAG_END_VANISH;
options.motionOptions.timeBegin = 0.0f;
options.motionOptions.timeEnd = 1.0f;
check_result_optix_ret(
optixAccelComputeMemoryUsage(context, &options, &build_input, 1, &sizes));
// Allocate required output buffers
device_only_memory<char> temp_mem(this, "optix temp as build mem");
temp_mem.alloc_to_device(align_up(sizes.tempSizeInBytes, 8) + 8);
if (!temp_mem.device_pointer)
return false; // Make sure temporary memory allocation succeeded
device_only_memory<char> &out_data = bvh->as_data;
if (operation == OPTIX_BUILD_OPERATION_BUILD) {
assert(out_data.device == this);
out_data.alloc_to_device(sizes.outputSizeInBytes);
if (!out_data.device_pointer)
return false;
}
else {
assert(out_data.device_pointer && out_data.device_size >= sizes.outputSizeInBytes);
}
// Finally build the acceleration structure
OptixAccelEmitDesc compacted_size_prop;
compacted_size_prop.type = OPTIX_PROPERTY_TYPE_COMPACTED_SIZE;
// A tiny space was allocated for this property at the end of the temporary buffer above
// Make sure this pointer is 8-byte aligned
compacted_size_prop.result = align_up(temp_mem.device_pointer + sizes.tempSizeInBytes, 8);
OptixTraversableHandle out_handle = 0;
check_result_optix_ret(optixAccelBuild(context,
NULL,
&options,
&build_input,
1,
temp_mem.device_pointer,
sizes.tempSizeInBytes,
out_data.device_pointer,
sizes.outputSizeInBytes,
&out_handle,
background ? &compacted_size_prop : NULL,
background ? 1 : 0));
bvh->traversable_handle = static_cast<uint64_t>(out_handle);
// Wait for all operations to finish
check_result_cuda_ret(cuStreamSynchronize(NULL));
// Compact acceleration structure to save memory (do not do this in viewport for faster builds)
if (background) {
uint64_t compacted_size = sizes.outputSizeInBytes;
check_result_cuda_ret(
cuMemcpyDtoH(&compacted_size, compacted_size_prop.result, sizeof(compacted_size)));
// Temporary memory is no longer needed, so free it now to make space
temp_mem.free();
// There is no point compacting if the size does not change
if (compacted_size < sizes.outputSizeInBytes) {
device_only_memory<char> compacted_data(this, "optix compacted as");
compacted_data.alloc_to_device(compacted_size);
if (!compacted_data.device_pointer)
// Do not compact if memory allocation for compacted acceleration structure fails
// Can just use the uncompacted one then, so succeed here regardless
return true;
check_result_optix_ret(optixAccelCompact(context,
NULL,
out_handle,
compacted_data.device_pointer,
compacted_size,
&out_handle));
bvh->traversable_handle = static_cast<uint64_t>(out_handle);
// Wait for compaction to finish
check_result_cuda_ret(cuStreamSynchronize(NULL));
std::swap(out_data.device_size, compacted_data.device_size);
std::swap(out_data.device_pointer, compacted_data.device_pointer);
}
}
return true;
}
void build_bvh(BVH *bvh, Progress &progress, bool refit) override
{
if (bvh->params.bvh_layout == BVH_LAYOUT_BVH2) {
/* For baking CUDA is used, build appropriate BVH for that. */
Device::build_bvh(bvh, progress, refit);
return;
}
BVHOptiX *const bvh_optix = static_cast<BVHOptiX *>(bvh);
progress.set_substatus("Building OptiX acceleration structure");
if (!bvh->params.top_level) {
assert(bvh->objects.size() == 1 && bvh->geometry.size() == 1);
// Refit is only possible in viewport for now (because AS is built with
// OPTIX_BUILD_FLAG_ALLOW_UPDATE only there, see above)
OptixBuildOperation operation = OPTIX_BUILD_OPERATION_BUILD;
if (refit && !background) {
assert(bvh_optix->traversable_handle != 0);
operation = OPTIX_BUILD_OPERATION_UPDATE;
}
else {
bvh_optix->as_data.free();
bvh_optix->traversable_handle = 0;
}
// Build bottom level acceleration structures (BLAS)
Geometry *const geom = bvh->geometry[0];
if (geom->geometry_type == Geometry::HAIR) {
// Build BLAS for curve primitives
Hair *const hair = static_cast<Hair *const>(geom);
if (hair->num_curves() == 0) {
return;
}
const size_t num_segments = hair->num_segments();
size_t num_motion_steps = 1;
Attribute *motion_keys = hair->attributes.find(ATTR_STD_MOTION_VERTEX_POSITION);
if (motion_blur && hair->get_use_motion_blur() && motion_keys) {
num_motion_steps = hair->get_motion_steps();
}
device_vector<OptixAabb> aabb_data(this, "optix temp aabb data", MEM_READ_ONLY);
# if OPTIX_ABI_VERSION >= 36
device_vector<int> index_data(this, "optix temp index data", MEM_READ_ONLY);
device_vector<float4> vertex_data(this, "optix temp vertex data", MEM_READ_ONLY);
// Four control points for each curve segment
const size_t num_vertices = num_segments * 4;
if (DebugFlags().optix.curves_api && hair->curve_shape == CURVE_THICK) {
index_data.alloc(num_segments);
vertex_data.alloc(num_vertices * num_motion_steps);
}
else
# endif
aabb_data.alloc(num_segments * num_motion_steps);
// Get AABBs for each motion step
for (size_t step = 0; step < num_motion_steps; ++step) {
// The center step for motion vertices is not stored in the attribute
const float3 *keys = hair->get_curve_keys().data();
size_t center_step = (num_motion_steps - 1) / 2;
if (step != center_step) {
size_t attr_offset = (step > center_step) ? step - 1 : step;
// Technically this is a float4 array, but sizeof(float3) == sizeof(float4)
keys = motion_keys->data_float3() + attr_offset * hair->get_curve_keys().size();
}
for (size_t j = 0, i = 0; j < hair->num_curves(); ++j) {
const Hair::Curve curve = hair->get_curve(j);
# if OPTIX_ABI_VERSION >= 36
const array<float> &curve_radius = hair->get_curve_radius();
# endif
for (int segment = 0; segment < curve.num_segments(); ++segment, ++i) {
# if OPTIX_ABI_VERSION >= 36
if (DebugFlags().optix.curves_api && hair->curve_shape == CURVE_THICK) {
int k0 = curve.first_key + segment;
int k1 = k0 + 1;
int ka = max(k0 - 1, curve.first_key);
int kb = min(k1 + 1, curve.first_key + curve.num_keys - 1);
const float4 px = make_float4(keys[ka].x, keys[k0].x, keys[k1].x, keys[kb].x);
const float4 py = make_float4(keys[ka].y, keys[k0].y, keys[k1].y, keys[kb].y);
const float4 pz = make_float4(keys[ka].z, keys[k0].z, keys[k1].z, keys[kb].z);
const float4 pw = make_float4(
curve_radius[ka], curve_radius[k0], curve_radius[k1], curve_radius[kb]);
// Convert Catmull-Rom data to Bezier spline
static const float4 cr2bsp0 = make_float4(+7, -4, +5, -2) / 6.f;
static const float4 cr2bsp1 = make_float4(-2, 11, -4, +1) / 6.f;
static const float4 cr2bsp2 = make_float4(+1, -4, 11, -2) / 6.f;
static const float4 cr2bsp3 = make_float4(-2, +5, -4, +7) / 6.f;
index_data[i] = i * 4;
float4 *const v = vertex_data.data() + step * num_vertices + index_data[i];
v[0] = make_float4(
dot(cr2bsp0, px), dot(cr2bsp0, py), dot(cr2bsp0, pz), dot(cr2bsp0, pw));
v[1] = make_float4(
dot(cr2bsp1, px), dot(cr2bsp1, py), dot(cr2bsp1, pz), dot(cr2bsp1, pw));
v[2] = make_float4(
dot(cr2bsp2, px), dot(cr2bsp2, py), dot(cr2bsp2, pz), dot(cr2bsp2, pw));
v[3] = make_float4(
dot(cr2bsp3, px), dot(cr2bsp3, py), dot(cr2bsp3, pz), dot(cr2bsp3, pw));
}
else
# endif
{
BoundBox bounds = BoundBox::empty;
curve.bounds_grow(segment, keys, hair->get_curve_radius().data(), bounds);
const size_t index = step * num_segments + i;
aabb_data[index].minX = bounds.min.x;
aabb_data[index].minY = bounds.min.y;
aabb_data[index].minZ = bounds.min.z;
aabb_data[index].maxX = bounds.max.x;
aabb_data[index].maxY = bounds.max.y;
aabb_data[index].maxZ = bounds.max.z;
}
}
}
}
// Upload AABB data to GPU
aabb_data.copy_to_device();
# if OPTIX_ABI_VERSION >= 36
index_data.copy_to_device();
vertex_data.copy_to_device();
# endif
vector<device_ptr> aabb_ptrs;
aabb_ptrs.reserve(num_motion_steps);
# if OPTIX_ABI_VERSION >= 36
vector<device_ptr> width_ptrs;
vector<device_ptr> vertex_ptrs;
width_ptrs.reserve(num_motion_steps);
vertex_ptrs.reserve(num_motion_steps);
# endif
for (size_t step = 0; step < num_motion_steps; ++step) {
aabb_ptrs.push_back(aabb_data.device_pointer + step * num_segments * sizeof(OptixAabb));
# if OPTIX_ABI_VERSION >= 36
const device_ptr base_ptr = vertex_data.device_pointer +
step * num_vertices * sizeof(float4);
width_ptrs.push_back(base_ptr + 3 * sizeof(float)); // Offset by vertex size
vertex_ptrs.push_back(base_ptr);
# endif
}
// Force a single any-hit call, so shadow record-all behavior works correctly
unsigned int build_flags = OPTIX_GEOMETRY_FLAG_REQUIRE_SINGLE_ANYHIT_CALL;
OptixBuildInput build_input = {};
# if OPTIX_ABI_VERSION >= 36
if (DebugFlags().optix.curves_api && hair->curve_shape == CURVE_THICK) {
build_input.type = OPTIX_BUILD_INPUT_TYPE_CURVES;
build_input.curveArray.curveType = OPTIX_PRIMITIVE_TYPE_ROUND_CUBIC_BSPLINE;
build_input.curveArray.numPrimitives = num_segments;
build_input.curveArray.vertexBuffers = (CUdeviceptr *)vertex_ptrs.data();
build_input.curveArray.numVertices = num_vertices;
build_input.curveArray.vertexStrideInBytes = sizeof(float4);
build_input.curveArray.widthBuffers = (CUdeviceptr *)width_ptrs.data();
build_input.curveArray.widthStrideInBytes = sizeof(float4);
build_input.curveArray.indexBuffer = (CUdeviceptr)index_data.device_pointer;
build_input.curveArray.indexStrideInBytes = sizeof(int);
build_input.curveArray.flag = build_flags;
build_input.curveArray.primitiveIndexOffset = hair->optix_prim_offset;
}
else
# endif
{
// Disable visibility test any-hit program, since it is already checked during
// intersection. Those trace calls that require anyhit can force it with a ray flag.
build_flags |= OPTIX_GEOMETRY_FLAG_DISABLE_ANYHIT;
build_input.type = OPTIX_BUILD_INPUT_TYPE_CUSTOM_PRIMITIVES;
# if OPTIX_ABI_VERSION < 23
build_input.aabbArray.aabbBuffers = (CUdeviceptr *)aabb_ptrs.data();
build_input.aabbArray.numPrimitives = num_segments;
build_input.aabbArray.strideInBytes = sizeof(OptixAabb);
build_input.aabbArray.flags = &build_flags;
build_input.aabbArray.numSbtRecords = 1;
build_input.aabbArray.primitiveIndexOffset = hair->optix_prim_offset;
# else
build_input.customPrimitiveArray.aabbBuffers = (CUdeviceptr *)aabb_ptrs.data();
build_input.customPrimitiveArray.numPrimitives = num_segments;
build_input.customPrimitiveArray.strideInBytes = sizeof(OptixAabb);
build_input.customPrimitiveArray.flags = &build_flags;
build_input.customPrimitiveArray.numSbtRecords = 1;
build_input.customPrimitiveArray.primitiveIndexOffset = hair->optix_prim_offset;
# endif
}
if (!build_optix_bvh(bvh_optix, operation, build_input, num_motion_steps)) {
progress.set_error("Failed to build OptiX acceleration structure");
}
}
else if (geom->geometry_type == Geometry::MESH || geom->geometry_type == Geometry::VOLUME) {
// Build BLAS for triangle primitives
Mesh *const mesh = static_cast<Mesh *const>(geom);
if (mesh->num_triangles() == 0) {
return;
}
const size_t num_verts = mesh->get_verts().size();
size_t num_motion_steps = 1;
Attribute *motion_keys = mesh->attributes.find(ATTR_STD_MOTION_VERTEX_POSITION);
if (motion_blur && mesh->get_use_motion_blur() && motion_keys) {
num_motion_steps = mesh->get_motion_steps();
}
device_vector<int> index_data(this, "optix temp index data", MEM_READ_ONLY);
index_data.alloc(mesh->get_triangles().size());
memcpy(index_data.data(),
mesh->get_triangles().data(),
mesh->get_triangles().size() * sizeof(int));
device_vector<float3> vertex_data(this, "optix temp vertex data", MEM_READ_ONLY);
vertex_data.alloc(num_verts * num_motion_steps);
for (size_t step = 0; step < num_motion_steps; ++step) {
const float3 *verts = mesh->get_verts().data();
size_t center_step = (num_motion_steps - 1) / 2;
// The center step for motion vertices is not stored in the attribute
if (step != center_step) {
verts = motion_keys->data_float3() +
(step > center_step ? step - 1 : step) * num_verts;
}
memcpy(vertex_data.data() + num_verts * step, verts, num_verts * sizeof(float3));
}
// Upload triangle data to GPU
index_data.copy_to_device();
vertex_data.copy_to_device();
vector<device_ptr> vertex_ptrs;
vertex_ptrs.reserve(num_motion_steps);
for (size_t step = 0; step < num_motion_steps; ++step) {
vertex_ptrs.push_back(vertex_data.device_pointer + num_verts * step * sizeof(float3));
}
// Force a single any-hit call, so shadow record-all behavior works correctly
unsigned int build_flags = OPTIX_GEOMETRY_FLAG_REQUIRE_SINGLE_ANYHIT_CALL;
OptixBuildInput build_input = {};
build_input.type = OPTIX_BUILD_INPUT_TYPE_TRIANGLES;
build_input.triangleArray.vertexBuffers = (CUdeviceptr *)vertex_ptrs.data();
build_input.triangleArray.numVertices = num_verts;
build_input.triangleArray.vertexFormat = OPTIX_VERTEX_FORMAT_FLOAT3;
build_input.triangleArray.vertexStrideInBytes = sizeof(float3);
build_input.triangleArray.indexBuffer = index_data.device_pointer;
build_input.triangleArray.numIndexTriplets = mesh->num_triangles();
build_input.triangleArray.indexFormat = OPTIX_INDICES_FORMAT_UNSIGNED_INT3;
build_input.triangleArray.indexStrideInBytes = 3 * sizeof(int);
build_input.triangleArray.flags = &build_flags;
// The SBT does not store per primitive data since Cycles already allocates separate
// buffers for that purpose. OptiX does not allow this to be zero though, so just pass in
// one and rely on that having the same meaning in this case.
build_input.triangleArray.numSbtRecords = 1;
build_input.triangleArray.primitiveIndexOffset = mesh->optix_prim_offset;
if (!build_optix_bvh(bvh_optix, operation, build_input, num_motion_steps)) {
progress.set_error("Failed to build OptiX acceleration structure");
}
}
}
else {
unsigned int num_instances = 0;
unsigned int max_num_instances = 0xFFFFFFFF;
bvh_optix->as_data.free();
bvh_optix->traversable_handle = 0;
bvh_optix->motion_transform_data.free();
optixDeviceContextGetProperty(context,
OPTIX_DEVICE_PROPERTY_LIMIT_MAX_INSTANCE_ID,
&max_num_instances,
sizeof(max_num_instances));
// Do not count first bit, which is used to distinguish instanced and non-instanced objects
max_num_instances >>= 1;
if (bvh->objects.size() > max_num_instances) {
progress.set_error(
"Failed to build OptiX acceleration structure because there are too many instances");
return;
}
// Fill instance descriptions
# if OPTIX_ABI_VERSION < 41
device_vector<OptixAabb> aabbs(this, "optix tlas aabbs", MEM_READ_ONLY);
aabbs.alloc(bvh->objects.size());
# endif
device_vector<OptixInstance> instances(this, "optix tlas instances", MEM_READ_ONLY);
instances.alloc(bvh->objects.size());
// Calculate total motion transform size and allocate memory for them
size_t motion_transform_offset = 0;
if (motion_blur) {
size_t total_motion_transform_size = 0;
for (Object *const ob : bvh->objects) {
if (ob->is_traceable() && ob->use_motion()) {
total_motion_transform_size = align_up(total_motion_transform_size,
OPTIX_TRANSFORM_BYTE_ALIGNMENT);
const size_t motion_keys = max(ob->get_motion().size(), 2) - 2;
total_motion_transform_size = total_motion_transform_size +
sizeof(OptixSRTMotionTransform) +
motion_keys * sizeof(OptixSRTData);
}
}
assert(bvh_optix->motion_transform_data.device == this);
bvh_optix->motion_transform_data.alloc_to_device(total_motion_transform_size);
}
for (Object *ob : bvh->objects) {
// Skip non-traceable objects
if (!ob->is_traceable())
continue;
BVHOptiX *const blas = static_cast<BVHOptiX *>(ob->get_geometry()->bvh);
OptixTraversableHandle handle = blas->traversable_handle;
# if OPTIX_ABI_VERSION < 41
OptixAabb &aabb = aabbs[num_instances];
aabb.minX = ob->bounds.min.x;
aabb.minY = ob->bounds.min.y;
aabb.minZ = ob->bounds.min.z;
aabb.maxX = ob->bounds.max.x;
aabb.maxY = ob->bounds.max.y;
aabb.maxZ = ob->bounds.max.z;
# endif
OptixInstance &instance = instances[num_instances++];
memset(&instance, 0, sizeof(instance));
// Clear transform to identity matrix
instance.transform[0] = 1.0f;
instance.transform[5] = 1.0f;
instance.transform[10] = 1.0f;
// Set user instance ID to object index (but leave low bit blank)
instance.instanceId = ob->get_device_index() << 1;
// Have to have at least one bit in the mask, or else instance would always be culled
instance.visibilityMask = 1;
if (ob->get_geometry()->has_volume) {
// Volumes have a special bit set in the visibility mask so a trace can mask only volumes
instance.visibilityMask |= 2;
}
if (ob->get_geometry()->geometry_type == Geometry::HAIR) {
// Same applies to curves (so they can be skipped in local trace calls)
instance.visibilityMask |= 4;
# if OPTIX_ABI_VERSION >= 36
if (motion_blur && ob->get_geometry()->has_motion_blur() &&
DebugFlags().optix.curves_api &&
static_cast<const Hair *>(ob->get_geometry())->curve_shape == CURVE_THICK) {
// Select between motion blur and non-motion blur built-in intersection module
instance.sbtOffset = PG_HITD_MOTION - PG_HITD;
}
# endif
}
// Insert motion traversable if object has motion
if (motion_blur && ob->use_motion()) {
size_t motion_keys = max(ob->get_motion().size(), 2) - 2;
size_t motion_transform_size = sizeof(OptixSRTMotionTransform) +
motion_keys * sizeof(OptixSRTData);
const CUDAContextScope scope(cuContext);
motion_transform_offset = align_up(motion_transform_offset,
OPTIX_TRANSFORM_BYTE_ALIGNMENT);
CUdeviceptr motion_transform_gpu = bvh_optix->motion_transform_data.device_pointer +
motion_transform_offset;
motion_transform_offset += motion_transform_size;
// Allocate host side memory for motion transform and fill it with transform data
OptixSRTMotionTransform &motion_transform = *reinterpret_cast<OptixSRTMotionTransform *>(
new uint8_t[motion_transform_size]);
motion_transform.child = handle;
motion_transform.motionOptions.numKeys = ob->get_motion().size();
motion_transform.motionOptions.flags = OPTIX_MOTION_FLAG_NONE;
motion_transform.motionOptions.timeBegin = 0.0f;
motion_transform.motionOptions.timeEnd = 1.0f;
OptixSRTData *const srt_data = motion_transform.srtData;
array<DecomposedTransform> decomp(ob->get_motion().size());
transform_motion_decompose(
decomp.data(), ob->get_motion().data(), ob->get_motion().size());
for (size_t i = 0; i < ob->get_motion().size(); ++i) {
// Scale
srt_data[i].sx = decomp[i].y.w; // scale.x.x
srt_data[i].sy = decomp[i].z.w; // scale.y.y
srt_data[i].sz = decomp[i].w.w; // scale.z.z
// Shear
srt_data[i].a = decomp[i].z.x; // scale.x.y
srt_data[i].b = decomp[i].z.y; // scale.x.z
srt_data[i].c = decomp[i].w.x; // scale.y.z
assert(decomp[i].z.z == 0.0f); // scale.y.x
assert(decomp[i].w.y == 0.0f); // scale.z.x
assert(decomp[i].w.z == 0.0f); // scale.z.y
// Pivot point
srt_data[i].pvx = 0.0f;
srt_data[i].pvy = 0.0f;
srt_data[i].pvz = 0.0f;
// Rotation
srt_data[i].qx = decomp[i].x.x;
srt_data[i].qy = decomp[i].x.y;
srt_data[i].qz = decomp[i].x.z;
srt_data[i].qw = decomp[i].x.w;
// Translation
srt_data[i].tx = decomp[i].y.x;
srt_data[i].ty = decomp[i].y.y;
srt_data[i].tz = decomp[i].y.z;
}
// Upload motion transform to GPU
cuMemcpyHtoD(motion_transform_gpu, &motion_transform, motion_transform_size);
delete[] reinterpret_cast<uint8_t *>(&motion_transform);
// Disable instance transform if object uses motion transform already
instance.flags = OPTIX_INSTANCE_FLAG_DISABLE_TRANSFORM;
// Get traversable handle to motion transform
optixConvertPointerToTraversableHandle(context,
motion_transform_gpu,
OPTIX_TRAVERSABLE_TYPE_SRT_MOTION_TRANSFORM,
&instance.traversableHandle);
}
else {
instance.traversableHandle = handle;
if (ob->get_geometry()->is_instanced()) {
// Set transform matrix
memcpy(instance.transform, &ob->get_tfm(), sizeof(instance.transform));
}
else {
// Disable instance transform if geometry already has it applied to vertex data
instance.flags = OPTIX_INSTANCE_FLAG_DISABLE_TRANSFORM;
// Non-instanced objects read ID from 'prim_object', so distinguish
// them from instanced objects with the low bit set
instance.instanceId |= 1;
}
}
}
// Upload instance descriptions
# if OPTIX_ABI_VERSION < 41
aabbs.resize(num_instances);
aabbs.copy_to_device();
# endif
instances.resize(num_instances);
instances.copy_to_device();
// Build top-level acceleration structure (TLAS)
OptixBuildInput build_input = {};
build_input.type = OPTIX_BUILD_INPUT_TYPE_INSTANCES;
# if OPTIX_ABI_VERSION < 41 // Instance AABBs no longer need to be set since OptiX 7.2
build_input.instanceArray.aabbs = aabbs.device_pointer;
build_input.instanceArray.numAabbs = num_instances;
# endif
build_input.instanceArray.instances = instances.device_pointer;
build_input.instanceArray.numInstances = num_instances;
if (!build_optix_bvh(bvh_optix, OPTIX_BUILD_OPERATION_BUILD, build_input, 0)) {
progress.set_error("Failed to build OptiX acceleration structure");
}
tlas_handle = bvh_optix->traversable_handle;
}
}
void const_copy_to(const char *name, void *host, size_t size) override
{
// Set constant memory for CUDA module
// TODO(pmours): This is only used for tonemapping (see 'film_convert').
// Could be removed by moving those functions to filter CUDA module.
CUDADevice::const_copy_to(name, host, size);
if (strcmp(name, "__data") == 0) {
assert(size <= sizeof(KernelData));
// Update traversable handle (since it is different for each device on multi devices)
KernelData *const data = (KernelData *)host;
*(OptixTraversableHandle *)&data->bvh.scene = tlas_handle;
update_launch_params(offsetof(KernelParams, data), host, size);
return;
}
// Update data storage pointers in launch parameters
# define KERNEL_TEX(data_type, tex_name) \
if (strcmp(name, #tex_name) == 0) { \
update_launch_params(offsetof(KernelParams, tex_name), host, size); \
return; \
}
# include "kernel/kernel_textures.h"
# undef KERNEL_TEX
}
void update_launch_params(size_t offset, void *data, size_t data_size)
{
const CUDAContextScope scope(cuContext);
for (int i = 0; i < info.cpu_threads; ++i)
check_result_cuda(
cuMemcpyHtoD(launch_params.device_pointer + i * launch_params.data_elements + offset,
data,
data_size));
}
void task_add(DeviceTask &task) override
{
// Upload texture information to device if it has changed since last launch
load_texture_info();
if (task.type == DeviceTask::FILM_CONVERT) {
// Execute in main thread because of OpenGL access
film_convert(task, task.buffer, task.rgba_byte, task.rgba_half);
return;
}
if (task.type == DeviceTask::DENOISE_BUFFER) {
// Execute denoising in a single thread (e.g. to avoid race conditions during creation)
task_pool.push([=] {
DeviceTask task_copy = task;
thread_run(task_copy, 0);
});
return;
}
// Split task into smaller ones
list<DeviceTask> tasks;
task.split(tasks, info.cpu_threads);
// Queue tasks in internal task pool
int task_index = 0;
for (DeviceTask &task : tasks) {
task_pool.push([=] {
// Using task index parameter instead of thread index, since number of CUDA streams may
// differ from number of threads
DeviceTask task_copy = task;
thread_run(task_copy, task_index);
});
task_index++;
}
}
void task_wait() override
{
// Wait for all queued tasks to finish
task_pool.wait_work();
}
void task_cancel() override
{
// Cancel any remaining tasks in the internal pool
task_pool.cancel();
}
};
bool device_optix_init()
{
if (g_optixFunctionTable.optixDeviceContextCreate != NULL)
return true; // Already initialized function table
// Need to initialize CUDA as well
if (!device_cuda_init())
return false;
const OptixResult result = optixInit();
if (result == OPTIX_ERROR_UNSUPPORTED_ABI_VERSION) {
VLOG(1) << "OptiX initialization failed because the installed NVIDIA driver is too old. "
"Please update to the latest driver first!";
return false;
}
else if (result != OPTIX_SUCCESS) {
VLOG(1) << "OptiX initialization failed with error code " << (unsigned int)result;
return false;
}
// Loaded OptiX successfully!
return true;
}
void device_optix_info(const vector<DeviceInfo> &cuda_devices, vector<DeviceInfo> &devices)
{
devices.reserve(cuda_devices.size());
// Simply add all supported CUDA devices as OptiX devices again
for (DeviceInfo info : cuda_devices) {
assert(info.type == DEVICE_CUDA);
int major;
cuDeviceGetAttribute(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, info.num);
if (major < 5) {
continue; // Only Maxwell and up are supported by OptiX
}
info.type = DEVICE_OPTIX;
info.id += "_OptiX";
info.denoisers |= DENOISER_OPTIX;
devices.push_back(info);
}
}
Device *device_optix_create(DeviceInfo &info, Stats &stats, Profiler &profiler, bool background)
{
return new OptiXDevice(info, stats, profiler, background);
}
CCL_NAMESPACE_END
#endif
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