forked from bartvdbraak/blender
896 lines
24 KiB
C++
896 lines
24 KiB
C++
/*
|
|
* Copyright 2011, Blender Foundation.
|
|
*
|
|
* This program is free software; you can redistribute it and/or
|
|
* modify it under the terms of the GNU General Public License
|
|
* as published by the Free Software Foundation; either version 2
|
|
* of the License, or (at your option) any later version.
|
|
*
|
|
* This program is distributed in the hope that it will be useful,
|
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
* GNU General Public License for more details.
|
|
*
|
|
* You should have received a copy of the GNU General Public License
|
|
* along with this program; if not, write to the Free Software Foundation,
|
|
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
|
|
*/
|
|
|
|
#include <stdio.h>
|
|
#include <stdlib.h>
|
|
#include <string.h>
|
|
|
|
#include "device.h"
|
|
#include "device_intern.h"
|
|
|
|
#include "util_cuda.h"
|
|
#include "util_debug.h"
|
|
#include "util_map.h"
|
|
#include "util_opengl.h"
|
|
#include "util_path.h"
|
|
#include "util_system.h"
|
|
#include "util_types.h"
|
|
#include "util_time.h"
|
|
|
|
CCL_NAMESPACE_BEGIN
|
|
|
|
class CUDADevice : public Device
|
|
{
|
|
public:
|
|
CUdevice cuDevice;
|
|
CUcontext cuContext;
|
|
CUmodule cuModule;
|
|
map<device_ptr, bool> tex_interp_map;
|
|
int cuDevId;
|
|
|
|
struct PixelMem {
|
|
GLuint cuPBO;
|
|
CUgraphicsResource cuPBOresource;
|
|
GLuint cuTexId;
|
|
int w, h;
|
|
};
|
|
|
|
map<device_ptr, PixelMem> pixel_mem_map;
|
|
|
|
CUdeviceptr cuda_device_ptr(device_ptr mem)
|
|
{
|
|
return (CUdeviceptr)mem;
|
|
}
|
|
|
|
const char *cuda_error_string(CUresult result)
|
|
{
|
|
switch(result) {
|
|
case CUDA_SUCCESS: return "No errors";
|
|
case CUDA_ERROR_INVALID_VALUE: return "Invalid value";
|
|
case CUDA_ERROR_OUT_OF_MEMORY: return "Out of memory";
|
|
case CUDA_ERROR_NOT_INITIALIZED: return "Driver not initialized";
|
|
case CUDA_ERROR_DEINITIALIZED: return "Driver deinitialized";
|
|
|
|
case CUDA_ERROR_NO_DEVICE: return "No CUDA-capable device available";
|
|
case CUDA_ERROR_INVALID_DEVICE: return "Invalid device";
|
|
|
|
case CUDA_ERROR_INVALID_IMAGE: return "Invalid kernel image";
|
|
case CUDA_ERROR_INVALID_CONTEXT: return "Invalid context";
|
|
case CUDA_ERROR_CONTEXT_ALREADY_CURRENT: return "Context already current";
|
|
case CUDA_ERROR_MAP_FAILED: return "Map failed";
|
|
case CUDA_ERROR_UNMAP_FAILED: return "Unmap failed";
|
|
case CUDA_ERROR_ARRAY_IS_MAPPED: return "Array is mapped";
|
|
case CUDA_ERROR_ALREADY_MAPPED: return "Already mapped";
|
|
case CUDA_ERROR_NO_BINARY_FOR_GPU: return "No binary for GPU";
|
|
case CUDA_ERROR_ALREADY_ACQUIRED: return "Already acquired";
|
|
case CUDA_ERROR_NOT_MAPPED: return "Not mapped";
|
|
case CUDA_ERROR_NOT_MAPPED_AS_ARRAY: return "Mapped resource not available for access as an array";
|
|
case CUDA_ERROR_NOT_MAPPED_AS_POINTER: return "Mapped resource not available for access as a pointer";
|
|
case CUDA_ERROR_ECC_UNCORRECTABLE: return "Uncorrectable ECC error detected";
|
|
case CUDA_ERROR_UNSUPPORTED_LIMIT: return "CUlimit not supported by device";
|
|
|
|
case CUDA_ERROR_INVALID_SOURCE: return "Invalid source";
|
|
case CUDA_ERROR_FILE_NOT_FOUND: return "File not found";
|
|
case CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND: return "Link to a shared object failed to resolve";
|
|
case CUDA_ERROR_SHARED_OBJECT_INIT_FAILED: return "Shared object initialization failed";
|
|
|
|
case CUDA_ERROR_INVALID_HANDLE: return "Invalid handle";
|
|
|
|
case CUDA_ERROR_NOT_FOUND: return "Not found";
|
|
|
|
case CUDA_ERROR_NOT_READY: return "CUDA not ready";
|
|
|
|
case CUDA_ERROR_LAUNCH_FAILED: return "Launch failed";
|
|
case CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES: return "Launch exceeded resources";
|
|
case CUDA_ERROR_LAUNCH_TIMEOUT: return "Launch exceeded timeout";
|
|
case CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING: return "Launch with incompatible texturing";
|
|
|
|
case CUDA_ERROR_UNKNOWN: return "Unknown error";
|
|
|
|
default: return "Unknown CUDA error value";
|
|
}
|
|
}
|
|
|
|
#ifdef NDEBUG
|
|
#define cuda_abort()
|
|
#else
|
|
#define cuda_abort() abort()
|
|
#endif
|
|
|
|
#define cuda_assert(stmt) \
|
|
{ \
|
|
CUresult result = stmt; \
|
|
\
|
|
if(result != CUDA_SUCCESS) { \
|
|
string message = string_printf("CUDA error: %s in %s", cuda_error_string(result), #stmt); \
|
|
if(error_msg == "") \
|
|
error_msg = message; \
|
|
fprintf(stderr, "%s\n", message.c_str()); \
|
|
cuda_abort(); \
|
|
} \
|
|
}
|
|
|
|
bool cuda_error(CUresult result)
|
|
{
|
|
if(result == CUDA_SUCCESS)
|
|
return false;
|
|
|
|
string message = string_printf("CUDA error: %s", cuda_error_string(result));
|
|
if(error_msg == "")
|
|
error_msg = message;
|
|
fprintf(stderr, "%s\n", message.c_str());
|
|
return true;
|
|
}
|
|
|
|
void cuda_error(const string& message)
|
|
{
|
|
if(error_msg == "")
|
|
error_msg = message;
|
|
fprintf(stderr, "%s\n", message.c_str());
|
|
}
|
|
|
|
void cuda_push_context()
|
|
{
|
|
cuda_assert(cuCtxSetCurrent(cuContext))
|
|
}
|
|
|
|
void cuda_pop_context()
|
|
{
|
|
cuda_assert(cuCtxSetCurrent(NULL));
|
|
}
|
|
|
|
CUDADevice(DeviceInfo& info, bool background_)
|
|
{
|
|
background = background_;
|
|
|
|
cuDevId = info.num;
|
|
cuDevice = 0;
|
|
cuContext = 0;
|
|
|
|
/* intialize */
|
|
if(cuda_error(cuInit(0)))
|
|
return;
|
|
|
|
/* setup device and context */
|
|
if(cuda_error(cuDeviceGet(&cuDevice, cuDevId)))
|
|
return;
|
|
|
|
CUresult result;
|
|
|
|
if(background) {
|
|
result = cuCtxCreate(&cuContext, 0, cuDevice);
|
|
}
|
|
else {
|
|
result = cuGLCtxCreate(&cuContext, 0, cuDevice);
|
|
|
|
if(result != CUDA_SUCCESS) {
|
|
result = cuCtxCreate(&cuContext, 0, cuDevice);
|
|
background = true;
|
|
}
|
|
}
|
|
|
|
if(cuda_error(result))
|
|
return;
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
~CUDADevice()
|
|
{
|
|
cuda_push_context();
|
|
cuda_assert(cuCtxDetach(cuContext))
|
|
}
|
|
|
|
bool support_device(bool experimental)
|
|
{
|
|
if(!experimental) {
|
|
int major, minor;
|
|
cuDeviceComputeCapability(&major, &minor, cuDevId);
|
|
|
|
if(major <= 1 && minor <= 2) {
|
|
cuda_error(string_printf("CUDA device supported only with compute capability 1.3 or up, found %d.%d.", major, minor));
|
|
return false;
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
string compile_kernel()
|
|
{
|
|
/* compute cubin name */
|
|
int major, minor;
|
|
cuDeviceComputeCapability(&major, &minor, cuDevId);
|
|
|
|
/* attempt to use kernel provided with blender */
|
|
string cubin = path_get(string_printf("lib/kernel_sm_%d%d.cubin", major, minor));
|
|
if(path_exists(cubin))
|
|
return cubin;
|
|
|
|
/* not found, try to use locally compiled kernel */
|
|
string kernel_path = path_get("kernel");
|
|
string md5 = path_files_md5_hash(kernel_path);
|
|
|
|
cubin = string_printf("cycles_kernel_sm%d%d_%s.cubin", major, minor, md5.c_str());;
|
|
cubin = path_user_get(path_join("cache", cubin));
|
|
|
|
/* if exists already, use it */
|
|
if(path_exists(cubin))
|
|
return cubin;
|
|
|
|
#if defined(WITH_CUDA_BINARIES) && defined(_WIN32)
|
|
if(major <= 1 && minor <= 2)
|
|
cuda_error(string_printf("CUDA device supported only compute capability 1.3 or up, found %d.%d.", major, minor));
|
|
else
|
|
cuda_error(string_printf("CUDA binary kernel for this graphics card compute capability (%d.%d) not found.", major, minor));
|
|
return "";
|
|
#else
|
|
/* if not, find CUDA compiler */
|
|
string nvcc = cuCompilerPath();
|
|
|
|
if(nvcc == "") {
|
|
cuda_error("CUDA nvcc compiler not found. Install CUDA toolkit in default location.");
|
|
return "";
|
|
}
|
|
|
|
/* compile */
|
|
string kernel = path_join(kernel_path, "kernel.cu");
|
|
string include = kernel_path;
|
|
const int machine = system_cpu_bits();
|
|
const int maxreg = 24;
|
|
|
|
double starttime = time_dt();
|
|
printf("Compiling CUDA kernel ...\n");
|
|
|
|
path_create_directories(cubin);
|
|
|
|
string command = string_printf("\"%s\" -arch=sm_%d%d -m%d --cubin \"%s\" --use_fast_math "
|
|
"-o \"%s\" --ptxas-options=\"-v\" --maxrregcount=%d --opencc-options -OPT:Olimit=0 -I\"%s\" -DNVCC",
|
|
nvcc.c_str(), major, minor, machine, kernel.c_str(), cubin.c_str(), maxreg, include.c_str());
|
|
|
|
if(system(command.c_str()) == -1) {
|
|
cuda_error("Failed to execute compilation command, see console for details.");
|
|
return "";
|
|
}
|
|
|
|
/* verify if compilation succeeded */
|
|
if(!path_exists(cubin)) {
|
|
cuda_error("CUDA kernel compilation failed, see console for details.");
|
|
return "";
|
|
}
|
|
|
|
printf("Kernel compilation finished in %.2lfs.\n", time_dt() - starttime);
|
|
|
|
return cubin;
|
|
#endif
|
|
}
|
|
|
|
bool load_kernels(bool experimental)
|
|
{
|
|
/* check if cuda init succeeded */
|
|
if(cuContext == 0)
|
|
return false;
|
|
|
|
if(!support_device(experimental))
|
|
return false;
|
|
|
|
/* get kernel */
|
|
string cubin = compile_kernel();
|
|
|
|
if(cubin == "")
|
|
return false;
|
|
|
|
/* open module */
|
|
cuda_push_context();
|
|
|
|
CUresult result = cuModuleLoad(&cuModule, cubin.c_str());
|
|
if(cuda_error(result))
|
|
cuda_error(string_printf("Failed loading CUDA kernel %s.", cubin.c_str()));
|
|
|
|
cuda_pop_context();
|
|
|
|
return (result == CUDA_SUCCESS);
|
|
}
|
|
|
|
void mem_alloc(device_memory& mem, MemoryType type)
|
|
{
|
|
cuda_push_context();
|
|
CUdeviceptr device_pointer;
|
|
cuda_assert(cuMemAlloc(&device_pointer, mem.memory_size()))
|
|
mem.device_pointer = (device_ptr)device_pointer;
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void mem_copy_to(device_memory& mem)
|
|
{
|
|
cuda_push_context();
|
|
cuda_assert(cuMemcpyHtoD(cuda_device_ptr(mem.device_pointer), (void*)mem.data_pointer, mem.memory_size()))
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void mem_copy_from(device_memory& mem, int y, int w, int h, int elem)
|
|
{
|
|
size_t offset = elem*y*w;
|
|
size_t size = elem*w*h;
|
|
|
|
cuda_push_context();
|
|
cuda_assert(cuMemcpyDtoH((uchar*)mem.data_pointer + offset,
|
|
(CUdeviceptr)((uchar*)mem.device_pointer + offset), size))
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void mem_zero(device_memory& mem)
|
|
{
|
|
memset((void*)mem.data_pointer, 0, mem.memory_size());
|
|
|
|
cuda_push_context();
|
|
cuda_assert(cuMemsetD8(cuda_device_ptr(mem.device_pointer), 0, mem.memory_size()))
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void mem_free(device_memory& mem)
|
|
{
|
|
if(mem.device_pointer) {
|
|
cuda_push_context();
|
|
cuda_assert(cuMemFree(cuda_device_ptr(mem.device_pointer)))
|
|
cuda_pop_context();
|
|
|
|
mem.device_pointer = 0;
|
|
}
|
|
}
|
|
|
|
void const_copy_to(const char *name, void *host, size_t size)
|
|
{
|
|
CUdeviceptr mem;
|
|
size_t bytes;
|
|
|
|
cuda_push_context();
|
|
cuda_assert(cuModuleGetGlobal(&mem, &bytes, cuModule, name))
|
|
//assert(bytes == size);
|
|
cuda_assert(cuMemcpyHtoD(mem, host, size))
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void tex_alloc(const char *name, device_memory& mem, bool interpolation, bool periodic)
|
|
{
|
|
/* determine format */
|
|
CUarray_format_enum format;
|
|
size_t dsize = datatype_size(mem.data_type);
|
|
size_t size = mem.memory_size();
|
|
|
|
switch(mem.data_type) {
|
|
case TYPE_UCHAR: format = CU_AD_FORMAT_UNSIGNED_INT8; break;
|
|
case TYPE_UINT: format = CU_AD_FORMAT_UNSIGNED_INT32; break;
|
|
case TYPE_INT: format = CU_AD_FORMAT_SIGNED_INT32; break;
|
|
case TYPE_FLOAT: format = CU_AD_FORMAT_FLOAT; break;
|
|
default: assert(0); return;
|
|
}
|
|
|
|
CUtexref texref;
|
|
|
|
cuda_push_context();
|
|
cuda_assert(cuModuleGetTexRef(&texref, cuModule, name))
|
|
|
|
if(interpolation) {
|
|
CUarray handle;
|
|
CUDA_ARRAY_DESCRIPTOR desc;
|
|
|
|
desc.Width = mem.data_width;
|
|
desc.Height = mem.data_height;
|
|
desc.Format = format;
|
|
desc.NumChannels = mem.data_elements;
|
|
|
|
cuda_assert(cuArrayCreate(&handle, &desc))
|
|
|
|
if(mem.data_height > 1) {
|
|
CUDA_MEMCPY2D param;
|
|
memset(¶m, 0, sizeof(param));
|
|
param.dstMemoryType = CU_MEMORYTYPE_ARRAY;
|
|
param.dstArray = handle;
|
|
param.srcMemoryType = CU_MEMORYTYPE_HOST;
|
|
param.srcHost = (void*)mem.data_pointer;
|
|
param.srcPitch = mem.data_width*dsize*mem.data_elements;
|
|
param.WidthInBytes = param.srcPitch;
|
|
param.Height = mem.data_height;
|
|
|
|
cuda_assert(cuMemcpy2D(¶m))
|
|
}
|
|
else
|
|
cuda_assert(cuMemcpyHtoA(handle, 0, (void*)mem.data_pointer, size))
|
|
|
|
cuda_assert(cuTexRefSetArray(texref, handle, CU_TRSA_OVERRIDE_FORMAT))
|
|
|
|
cuda_assert(cuTexRefSetFilterMode(texref, CU_TR_FILTER_MODE_LINEAR))
|
|
cuda_assert(cuTexRefSetFlags(texref, CU_TRSF_NORMALIZED_COORDINATES))
|
|
|
|
mem.device_pointer = (device_ptr)handle;
|
|
}
|
|
else {
|
|
cuda_pop_context();
|
|
|
|
mem_alloc(mem, MEM_READ_ONLY);
|
|
mem_copy_to(mem);
|
|
|
|
cuda_push_context();
|
|
|
|
cuda_assert(cuTexRefSetAddress(NULL, texref, cuda_device_ptr(mem.device_pointer), size))
|
|
cuda_assert(cuTexRefSetFilterMode(texref, CU_TR_FILTER_MODE_POINT))
|
|
cuda_assert(cuTexRefSetFlags(texref, CU_TRSF_READ_AS_INTEGER))
|
|
}
|
|
|
|
if(periodic) {
|
|
cuda_assert(cuTexRefSetAddressMode(texref, 0, CU_TR_ADDRESS_MODE_WRAP))
|
|
cuda_assert(cuTexRefSetAddressMode(texref, 1, CU_TR_ADDRESS_MODE_WRAP))
|
|
}
|
|
else {
|
|
cuda_assert(cuTexRefSetAddressMode(texref, 0, CU_TR_ADDRESS_MODE_CLAMP))
|
|
cuda_assert(cuTexRefSetAddressMode(texref, 1, CU_TR_ADDRESS_MODE_CLAMP))
|
|
}
|
|
cuda_assert(cuTexRefSetFormat(texref, format, mem.data_elements))
|
|
|
|
cuda_pop_context();
|
|
|
|
tex_interp_map[mem.device_pointer] = interpolation;
|
|
}
|
|
|
|
void tex_free(device_memory& mem)
|
|
{
|
|
if(mem.device_pointer) {
|
|
if(tex_interp_map[mem.device_pointer]) {
|
|
cuda_push_context();
|
|
cuArrayDestroy((CUarray)mem.device_pointer);
|
|
cuda_pop_context();
|
|
|
|
tex_interp_map.erase(tex_interp_map.find(mem.device_pointer));
|
|
mem.device_pointer = 0;
|
|
}
|
|
else {
|
|
tex_interp_map.erase(tex_interp_map.find(mem.device_pointer));
|
|
mem_free(mem);
|
|
}
|
|
}
|
|
}
|
|
|
|
void path_trace(DeviceTask& task)
|
|
{
|
|
cuda_push_context();
|
|
|
|
CUfunction cuPathTrace;
|
|
CUdeviceptr d_buffer = cuda_device_ptr(task.buffer);
|
|
CUdeviceptr d_rng_state = cuda_device_ptr(task.rng_state);
|
|
|
|
/* get kernel function */
|
|
cuda_assert(cuModuleGetFunction(&cuPathTrace, cuModule, "kernel_cuda_path_trace"))
|
|
|
|
/* pass in parameters */
|
|
int offset = 0;
|
|
|
|
cuda_assert(cuParamSetv(cuPathTrace, offset, &d_buffer, sizeof(d_buffer)))
|
|
offset += sizeof(d_buffer);
|
|
|
|
cuda_assert(cuParamSetv(cuPathTrace, offset, &d_rng_state, sizeof(d_rng_state)))
|
|
offset += sizeof(d_rng_state);
|
|
|
|
int sample = task.sample;
|
|
offset = align_up(offset, __alignof(sample));
|
|
|
|
cuda_assert(cuParamSeti(cuPathTrace, offset, task.sample))
|
|
offset += sizeof(task.sample);
|
|
|
|
cuda_assert(cuParamSeti(cuPathTrace, offset, task.x))
|
|
offset += sizeof(task.x);
|
|
|
|
cuda_assert(cuParamSeti(cuPathTrace, offset, task.y))
|
|
offset += sizeof(task.y);
|
|
|
|
cuda_assert(cuParamSeti(cuPathTrace, offset, task.w))
|
|
offset += sizeof(task.w);
|
|
|
|
cuda_assert(cuParamSeti(cuPathTrace, offset, task.h))
|
|
offset += sizeof(task.h);
|
|
|
|
cuda_assert(cuParamSeti(cuPathTrace, offset, task.offset))
|
|
offset += sizeof(task.offset);
|
|
|
|
cuda_assert(cuParamSeti(cuPathTrace, offset, task.stride))
|
|
offset += sizeof(task.stride);
|
|
|
|
cuda_assert(cuParamSetSize(cuPathTrace, offset))
|
|
|
|
/* launch kernel: todo find optimal size, cache config for fermi */
|
|
#ifndef __APPLE__
|
|
int xthreads = 16;
|
|
int ythreads = 16;
|
|
#else
|
|
int xthreads = 8;
|
|
int ythreads = 8;
|
|
#endif
|
|
int xblocks = (task.w + xthreads - 1)/xthreads;
|
|
int yblocks = (task.h + ythreads - 1)/ythreads;
|
|
|
|
cuda_assert(cuFuncSetCacheConfig(cuPathTrace, CU_FUNC_CACHE_PREFER_L1))
|
|
cuda_assert(cuFuncSetBlockShape(cuPathTrace, xthreads, ythreads, 1))
|
|
cuda_assert(cuLaunchGrid(cuPathTrace, xblocks, yblocks))
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void tonemap(DeviceTask& task)
|
|
{
|
|
cuda_push_context();
|
|
|
|
CUfunction cuFilmConvert;
|
|
CUdeviceptr d_rgba = map_pixels(task.rgba);
|
|
CUdeviceptr d_buffer = cuda_device_ptr(task.buffer);
|
|
|
|
/* get kernel function */
|
|
cuda_assert(cuModuleGetFunction(&cuFilmConvert, cuModule, "kernel_cuda_tonemap"))
|
|
|
|
/* pass in parameters */
|
|
int offset = 0;
|
|
|
|
cuda_assert(cuParamSetv(cuFilmConvert, offset, &d_rgba, sizeof(d_rgba)))
|
|
offset += sizeof(d_rgba);
|
|
|
|
cuda_assert(cuParamSetv(cuFilmConvert, offset, &d_buffer, sizeof(d_buffer)))
|
|
offset += sizeof(d_buffer);
|
|
|
|
int sample = task.sample;
|
|
offset = align_up(offset, __alignof(sample));
|
|
|
|
cuda_assert(cuParamSeti(cuFilmConvert, offset, task.sample))
|
|
offset += sizeof(task.sample);
|
|
|
|
cuda_assert(cuParamSeti(cuFilmConvert, offset, task.resolution))
|
|
offset += sizeof(task.resolution);
|
|
|
|
cuda_assert(cuParamSeti(cuFilmConvert, offset, task.x))
|
|
offset += sizeof(task.x);
|
|
|
|
cuda_assert(cuParamSeti(cuFilmConvert, offset, task.y))
|
|
offset += sizeof(task.y);
|
|
|
|
cuda_assert(cuParamSeti(cuFilmConvert, offset, task.w))
|
|
offset += sizeof(task.w);
|
|
|
|
cuda_assert(cuParamSeti(cuFilmConvert, offset, task.h))
|
|
offset += sizeof(task.h);
|
|
|
|
cuda_assert(cuParamSeti(cuFilmConvert, offset, task.offset))
|
|
offset += sizeof(task.offset);
|
|
|
|
cuda_assert(cuParamSeti(cuFilmConvert, offset, task.stride))
|
|
offset += sizeof(task.stride);
|
|
|
|
cuda_assert(cuParamSetSize(cuFilmConvert, offset))
|
|
|
|
/* launch kernel: todo find optimal size, cache config for fermi */
|
|
#ifndef __APPLE__
|
|
int xthreads = 16;
|
|
int ythreads = 16;
|
|
#else
|
|
int xthreads = 8;
|
|
int ythreads = 8;
|
|
#endif
|
|
int xblocks = (task.w + xthreads - 1)/xthreads;
|
|
int yblocks = (task.h + ythreads - 1)/ythreads;
|
|
|
|
cuda_assert(cuFuncSetCacheConfig(cuFilmConvert, CU_FUNC_CACHE_PREFER_L1))
|
|
cuda_assert(cuFuncSetBlockShape(cuFilmConvert, xthreads, ythreads, 1))
|
|
cuda_assert(cuLaunchGrid(cuFilmConvert, xblocks, yblocks))
|
|
|
|
unmap_pixels(task.rgba);
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void shader(DeviceTask& task)
|
|
{
|
|
cuda_push_context();
|
|
|
|
CUfunction cuDisplace;
|
|
CUdeviceptr d_input = cuda_device_ptr(task.shader_input);
|
|
CUdeviceptr d_offset = cuda_device_ptr(task.shader_output);
|
|
|
|
/* get kernel function */
|
|
cuda_assert(cuModuleGetFunction(&cuDisplace, cuModule, "kernel_cuda_shader"))
|
|
|
|
/* pass in parameters */
|
|
int offset = 0;
|
|
|
|
cuda_assert(cuParamSetv(cuDisplace, offset, &d_input, sizeof(d_input)))
|
|
offset += sizeof(d_input);
|
|
|
|
cuda_assert(cuParamSetv(cuDisplace, offset, &d_offset, sizeof(d_offset)))
|
|
offset += sizeof(d_offset);
|
|
|
|
int shader_eval_type = task.shader_eval_type;
|
|
offset = align_up(offset, __alignof(shader_eval_type));
|
|
|
|
cuda_assert(cuParamSeti(cuDisplace, offset, task.shader_eval_type))
|
|
offset += sizeof(task.shader_eval_type);
|
|
|
|
cuda_assert(cuParamSeti(cuDisplace, offset, task.shader_x))
|
|
offset += sizeof(task.shader_x);
|
|
|
|
cuda_assert(cuParamSetSize(cuDisplace, offset))
|
|
|
|
/* launch kernel: todo find optimal size, cache config for fermi */
|
|
#ifndef __APPLE__
|
|
int xthreads = 16;
|
|
#else
|
|
int xthreads = 8;
|
|
#endif
|
|
int xblocks = (task.shader_w + xthreads - 1)/xthreads;
|
|
|
|
cuda_assert(cuFuncSetCacheConfig(cuDisplace, CU_FUNC_CACHE_PREFER_L1))
|
|
cuda_assert(cuFuncSetBlockShape(cuDisplace, xthreads, 1, 1))
|
|
cuda_assert(cuLaunchGrid(cuDisplace, xblocks, 1))
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
CUdeviceptr map_pixels(device_ptr mem)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem];
|
|
CUdeviceptr buffer;
|
|
|
|
size_t bytes;
|
|
cuda_assert(cuGraphicsMapResources(1, &pmem.cuPBOresource, 0))
|
|
cuda_assert(cuGraphicsResourceGetMappedPointer(&buffer, &bytes, pmem.cuPBOresource))
|
|
|
|
return buffer;
|
|
}
|
|
|
|
return cuda_device_ptr(mem);
|
|
}
|
|
|
|
void unmap_pixels(device_ptr mem)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem];
|
|
|
|
cuda_assert(cuGraphicsUnmapResources(1, &pmem.cuPBOresource, 0))
|
|
}
|
|
}
|
|
|
|
void pixels_alloc(device_memory& mem)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem;
|
|
|
|
pmem.w = mem.data_width;
|
|
pmem.h = mem.data_height;
|
|
|
|
cuda_push_context();
|
|
|
|
glGenBuffers(1, &pmem.cuPBO);
|
|
glBindBuffer(GL_PIXEL_UNPACK_BUFFER, pmem.cuPBO);
|
|
glBufferData(GL_PIXEL_UNPACK_BUFFER, pmem.w*pmem.h*sizeof(GLfloat)*3, NULL, GL_DYNAMIC_DRAW);
|
|
|
|
glBindBuffer(GL_PIXEL_UNPACK_BUFFER, 0);
|
|
|
|
glGenTextures(1, &pmem.cuTexId);
|
|
glBindTexture(GL_TEXTURE_2D, pmem.cuTexId);
|
|
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, pmem.w, pmem.h, 0, GL_RGBA, GL_UNSIGNED_BYTE, NULL);
|
|
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
|
|
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
|
|
glBindTexture(GL_TEXTURE_2D, 0);
|
|
|
|
CUresult result = cuGraphicsGLRegisterBuffer(&pmem.cuPBOresource, pmem.cuPBO, CU_GRAPHICS_MAP_RESOURCE_FLAGS_NONE);
|
|
|
|
if(!cuda_error(result)) {
|
|
cuda_pop_context();
|
|
|
|
mem.device_pointer = pmem.cuTexId;
|
|
pixel_mem_map[mem.device_pointer] = pmem;
|
|
|
|
return;
|
|
}
|
|
else {
|
|
/* failed to register buffer, fallback to no interop */
|
|
glDeleteBuffers(1, &pmem.cuPBO);
|
|
glDeleteTextures(1, &pmem.cuTexId);
|
|
|
|
cuda_pop_context();
|
|
|
|
background = true;
|
|
}
|
|
}
|
|
|
|
Device::pixels_alloc(mem);
|
|
}
|
|
|
|
void pixels_copy_from(device_memory& mem, int y, int w, int h)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem.device_pointer];
|
|
|
|
cuda_push_context();
|
|
|
|
glBindBuffer(GL_PIXEL_UNPACK_BUFFER, pmem.cuPBO);
|
|
uchar *pixels = (uchar*)glMapBuffer(GL_PIXEL_UNPACK_BUFFER, GL_READ_ONLY);
|
|
size_t offset = sizeof(uchar)*4*y*w;
|
|
memcpy((uchar*)mem.data_pointer + offset, pixels + offset, sizeof(uchar)*4*w*h);
|
|
glUnmapBuffer(GL_PIXEL_UNPACK_BUFFER);
|
|
glBindBuffer(GL_PIXEL_UNPACK_BUFFER, 0);
|
|
|
|
cuda_pop_context();
|
|
|
|
return;
|
|
}
|
|
|
|
Device::pixels_copy_from(mem, y, w, h);
|
|
}
|
|
|
|
void pixels_free(device_memory& mem)
|
|
{
|
|
if(mem.device_pointer) {
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem.device_pointer];
|
|
|
|
cuda_push_context();
|
|
|
|
cuda_assert(cuGraphicsUnregisterResource(pmem.cuPBOresource))
|
|
glDeleteBuffers(1, &pmem.cuPBO);
|
|
glDeleteTextures(1, &pmem.cuTexId);
|
|
|
|
cuda_pop_context();
|
|
|
|
pixel_mem_map.erase(pixel_mem_map.find(mem.device_pointer));
|
|
mem.device_pointer = 0;
|
|
|
|
return;
|
|
}
|
|
|
|
Device::pixels_free(mem);
|
|
}
|
|
}
|
|
|
|
void draw_pixels(device_memory& mem, int y, int w, int h, int dy, int width, int height, bool transparent)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem.device_pointer];
|
|
|
|
cuda_push_context();
|
|
|
|
/* for multi devices, this assumes the ineffecient method that we allocate
|
|
all pixels on the device even though we only render to a subset */
|
|
size_t offset = sizeof(uint8_t)*4*y*w;
|
|
|
|
glBindBufferARB(GL_PIXEL_UNPACK_BUFFER_ARB, pmem.cuPBO);
|
|
glBindTexture(GL_TEXTURE_2D, pmem.cuTexId);
|
|
glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, w, h, GL_RGBA, GL_UNSIGNED_BYTE, (void*)offset);
|
|
glBindBufferARB(GL_PIXEL_UNPACK_BUFFER_ARB, 0);
|
|
|
|
glEnable(GL_TEXTURE_2D);
|
|
|
|
if(transparent) {
|
|
glEnable(GL_BLEND);
|
|
glBlendFunc(GL_ONE, GL_ONE_MINUS_SRC_ALPHA);
|
|
}
|
|
|
|
glColor3f(1.0f, 1.0f, 1.0f);
|
|
|
|
glPushMatrix();
|
|
glTranslatef(0.0f, (float)dy, 0.0f);
|
|
|
|
glBegin(GL_QUADS);
|
|
|
|
glTexCoord2f(0.0f, 0.0f);
|
|
glVertex2f(0.0f, 0.0f);
|
|
glTexCoord2f((float)w/(float)pmem.w, 0.0f);
|
|
glVertex2f((float)width, 0.0f);
|
|
glTexCoord2f((float)w/(float)pmem.w, (float)h/(float)pmem.h);
|
|
glVertex2f((float)width, (float)height);
|
|
glTexCoord2f(0.0f, (float)h/(float)pmem.h);
|
|
glVertex2f(0.0f, (float)height);
|
|
|
|
glEnd();
|
|
|
|
glPopMatrix();
|
|
|
|
if(transparent)
|
|
glDisable(GL_BLEND);
|
|
|
|
glBindTexture(GL_TEXTURE_2D, 0);
|
|
glDisable(GL_TEXTURE_2D);
|
|
|
|
cuda_pop_context();
|
|
|
|
return;
|
|
}
|
|
|
|
Device::draw_pixels(mem, y, w, h, dy, width, height, transparent);
|
|
}
|
|
|
|
void task_add(DeviceTask& task)
|
|
{
|
|
if(task.type == DeviceTask::TONEMAP)
|
|
tonemap(task);
|
|
else if(task.type == DeviceTask::PATH_TRACE)
|
|
path_trace(task);
|
|
else if(task.type == DeviceTask::SHADER)
|
|
shader(task);
|
|
}
|
|
|
|
void task_wait()
|
|
{
|
|
cuda_push_context();
|
|
|
|
cuda_assert(cuCtxSynchronize())
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void task_cancel()
|
|
{
|
|
}
|
|
};
|
|
|
|
Device *device_cuda_create(DeviceInfo& info, bool background)
|
|
{
|
|
return new CUDADevice(info, background);
|
|
}
|
|
|
|
void device_cuda_info(vector<DeviceInfo>& devices)
|
|
{
|
|
int count = 0;
|
|
|
|
if(cuInit(0) != CUDA_SUCCESS)
|
|
return;
|
|
if(cuDeviceGetCount(&count) != CUDA_SUCCESS)
|
|
return;
|
|
|
|
vector<DeviceInfo> display_devices;
|
|
|
|
for(int num = 0; num < count; num++) {
|
|
char name[256];
|
|
int attr;
|
|
|
|
if(cuDeviceGetName(name, 256, num) != CUDA_SUCCESS)
|
|
continue;
|
|
|
|
DeviceInfo info;
|
|
|
|
info.type = DEVICE_CUDA;
|
|
info.description = string(name);
|
|
info.id = string_printf("CUDA_%d", num);
|
|
info.num = num;
|
|
|
|
int major, minor;
|
|
cuDeviceComputeCapability(&major, &minor, num);
|
|
info.advanced_shading = (major >= 2);
|
|
|
|
/* if device has a kernel timeout, assume it is used for display */
|
|
if(cuDeviceGetAttribute(&attr, CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT, num) == CUDA_SUCCESS && attr == 1) {
|
|
info.display_device = true;
|
|
display_devices.push_back(info);
|
|
}
|
|
else
|
|
devices.push_back(info);
|
|
}
|
|
|
|
if(!display_devices.empty())
|
|
devices.insert(devices.end(), display_devices.begin(), display_devices.end());
|
|
}
|
|
|
|
CCL_NAMESPACE_END
|
|
|