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change: Switch to offical OpenFX Support. Still can't compile.

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This commit is contained in:
Mike Solar
2025-09-03 21:14:56 +08:00
parent 7ff76427f9
commit b649b5e1bd
198 changed files with 57444 additions and 980 deletions
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third_party/openfx/Support/Plugins/GPUGain/OpenCLKernel.cpp
Vendored
+270
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#ifdef _WIN64
#include <Windows.h>
#else
#include <pthread.h>
#endif
#include <map>
#include <stdio.h>
#ifdef __APPLE__
#include <OpenCL/cl.h>
#else
#include <CL/cl.h>
#endif
const char *KernelSourceBuffers = "\n" \
"__kernel void GainAdjustKernelBuffers( \n" \
" int p_Width, \n" \
" int p_Height, \n" \
" float p_GainR, \n" \
" float p_GainG, \n" \
" float p_GainB, \n" \
" float p_GainA, \n" \
" __global const float* p_Input, \n" \
" __global float* p_Output) \n" \
"{ \n" \
" const int x = get_global_id(0); \n" \
" const int y = get_global_id(1); \n" \
" \n" \
" if ((x < p_Width) && (y < p_Height)) \n" \
" { \n" \
" const int index = ((y * p_Width) + x) * 4; \n" \
" \n" \
" p_Output[index + 0] = p_Input[index + 0] * p_GainR; \n" \
" p_Output[index + 1] = p_Input[index + 1] * p_GainG; \n" \
" p_Output[index + 2] = p_Input[index + 2] * p_GainB; \n" \
" p_Output[index + 3] = p_Input[index + 3] * p_GainA; \n" \
" } \n" \
"} \n" \
"\n";
const char *KernelSourceImages = "\n" \
"__constant sampler_t imageSampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; \n" \
" \n" \
"__kernel void GainAdjustKernelImages( \n" \
" int p_Width, \n" \
" int p_Height, \n" \
" float p_GainR, \n" \
" float p_GainG, \n" \
" float p_GainB, \n" \
" float p_GainA, \n" \
" __read_only image2d_t p_Input, \n" \
" __write_only image2d_t p_Output) \n" \
"{ \n" \
" const int x = get_global_id(0); \n" \
" const int y = get_global_id(1); \n" \
" \n" \
" if ((x < p_Width) && (y < p_Height)) \n" \
" { \n" \
" int2 coord = (int2)(x, y); \n" \
" float4 out = read_imagef(p_Input, imageSampler, coord); \n" \
" out *= (float4)(p_GainR, p_GainG, p_GainB, p_GainA); \n" \
" write_imagef(p_Output, coord, out); \n" \
" } \n" \
"} \n" \
"\n";
void CheckError(cl_int p_Error, const char* p_Msg)
{
if (p_Error != CL_SUCCESS)
{
fprintf(stderr, "%s [%d]\n", p_Msg, p_Error);
}
}
class Locker
{
public:
Locker()
{
#ifdef _WIN64
InitializeCriticalSection(&mutex);
#else
pthread_mutex_init(&mutex, NULL);
#endif
}
~Locker()
{
#ifdef _WIN64
DeleteCriticalSection(&mutex);
#else
pthread_mutex_destroy(&mutex);
#endif
}
void Lock()
{
#ifdef _WIN64
EnterCriticalSection(&mutex);
#else
pthread_mutex_lock(&mutex);
#endif
}
void Unlock()
{
#ifdef _WIN64
LeaveCriticalSection(&mutex);
#else
pthread_mutex_unlock(&mutex);
#endif
}
private:
#ifdef _WIN64
CRITICAL_SECTION mutex;
#else
pthread_mutex_t mutex;
#endif
};
void RunOpenCLKernelBuffers(void* p_CmdQ, int p_Width, int p_Height, float* p_Gain, const float* p_Input, float* p_Output)
{
cl_int error;
cl_command_queue cmdQ = static_cast<cl_command_queue>(p_CmdQ);
// store device id and kernel per command queue (required for multi-GPU systems)
static std::map<cl_command_queue, cl_device_id> deviceIdMap;
static std::map<cl_command_queue, cl_kernel> kernelMap;
static Locker locker; // simple lock to control access to the above maps from multiple threads
locker.Lock();
// find the device id corresponding to the command queue
cl_device_id deviceId = NULL;
if (deviceIdMap.find(cmdQ) == deviceIdMap.end())
{
error = clGetCommandQueueInfo(cmdQ, CL_QUEUE_DEVICE, sizeof(cl_device_id), &deviceId, NULL);
CheckError(error, "Unable to get the device");
deviceIdMap[cmdQ] = deviceId;
}
else
{
deviceId = deviceIdMap[cmdQ];
}
// find the program kernel corresponding to the command queue
cl_kernel kernel = NULL;
if (kernelMap.find(cmdQ) == kernelMap.end())
{
cl_context clContext = NULL;
error = clGetCommandQueueInfo(cmdQ, CL_QUEUE_CONTEXT, sizeof(cl_context), &clContext, NULL);
CheckError(error, "Unable to get the context");
cl_program program = clCreateProgramWithSource(clContext, 1, (const char **)&KernelSourceBuffers, NULL, &error);
CheckError(error, "Unable to create program");
error = clBuildProgram(program, 0, NULL, NULL, NULL, NULL);
CheckError(error, "Unable to build program");
kernel = clCreateKernel(program, "GainAdjustKernelBuffers", &error);
CheckError(error, "Unable to create kernel");
kernelMap[cmdQ] = kernel;
}
else
{
kernel = kernelMap[cmdQ];
}
locker.Unlock();
int count = 0;
error = clSetKernelArg(kernel, count++, sizeof(int), &p_Width);
error |= clSetKernelArg(kernel, count++, sizeof(int), &p_Height);
error |= clSetKernelArg(kernel, count++, sizeof(float), &p_Gain[0]);
error |= clSetKernelArg(kernel, count++, sizeof(float), &p_Gain[1]);
error |= clSetKernelArg(kernel, count++, sizeof(float), &p_Gain[2]);
error |= clSetKernelArg(kernel, count++, sizeof(float), &p_Gain[3]);
error |= clSetKernelArg(kernel, count++, sizeof(cl_mem), &p_Input);
error |= clSetKernelArg(kernel, count++, sizeof(cl_mem), &p_Output);
CheckError(error, "Unable to set kernel arguments");
size_t localWorkSize[2], globalWorkSize[2];
clGetKernelWorkGroupInfo(kernel, deviceId, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), localWorkSize, NULL);
localWorkSize[1] = 1;
globalWorkSize[0] = ((p_Width + localWorkSize[0] - 1) / localWorkSize[0]) * localWorkSize[0];
globalWorkSize[1] = p_Height;
clEnqueueNDRangeKernel(cmdQ, kernel, 2, NULL, globalWorkSize, localWorkSize, 0, NULL, NULL);
}
void RunOpenCLKernelImages(void* p_CmdQ, int p_Width, int p_Height, float* p_Gain, const float* p_Input, float* p_Output)
{
cl_int error;
cl_command_queue cmdQ = static_cast<cl_command_queue>(p_CmdQ);
// store device id and kernel per command queue (required for multi-GPU systems)
static std::map<cl_command_queue, cl_device_id> deviceIdMap;
static std::map<cl_command_queue, cl_kernel> kernelMap;
static Locker locker; // simple lock to control access to the above maps from multiple threads
locker.Lock();
// find the device id corresponding to the command queue
cl_device_id deviceId = NULL;
if (deviceIdMap.find(cmdQ) == deviceIdMap.end())
{
error = clGetCommandQueueInfo(cmdQ, CL_QUEUE_DEVICE, sizeof(cl_device_id), &deviceId, NULL);
CheckError(error, "Unable to get the device");
deviceIdMap[cmdQ] = deviceId;
}
else
{
deviceId = deviceIdMap[cmdQ];
}
// find the program kernel corresponding to the command queue
cl_kernel kernel = NULL;
if (kernelMap.find(cmdQ) == kernelMap.end())
{
cl_context clContext = NULL;
error = clGetCommandQueueInfo(cmdQ, CL_QUEUE_CONTEXT, sizeof(cl_context), &clContext, NULL);
CheckError(error, "Unable to get the context");
cl_program program = clCreateProgramWithSource(clContext, 1, (const char **)&KernelSourceImages, NULL, &error);
CheckError(error, "Unable to create program");
error = clBuildProgram(program, 0, NULL, NULL, NULL, NULL);
CheckError(error, "Unable to build program");
kernel = clCreateKernel(program, "GainAdjustKernelImages", &error);
CheckError(error, "Unable to create kernel");
kernelMap[cmdQ] = kernel;
}
else
{
kernel = kernelMap[cmdQ];
}
locker.Unlock();
int count = 0;
error = clSetKernelArg(kernel, count++, sizeof(int), &p_Width);
error |= clSetKernelArg(kernel, count++, sizeof(int), &p_Height);
error |= clSetKernelArg(kernel, count++, sizeof(float), &p_Gain[0]);
error |= clSetKernelArg(kernel, count++, sizeof(float), &p_Gain[1]);
error |= clSetKernelArg(kernel, count++, sizeof(float), &p_Gain[2]);
error |= clSetKernelArg(kernel, count++, sizeof(float), &p_Gain[3]);
error |= clSetKernelArg(kernel, count++, sizeof(cl_mem), &p_Input);
error |= clSetKernelArg(kernel, count++, sizeof(cl_mem), &p_Output);
CheckError(error, "Unable to set kernel arguments");
size_t localWorkSize[2], globalWorkSize[2];
clGetKernelWorkGroupInfo(kernel, deviceId, CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), localWorkSize, NULL);
localWorkSize[1] = 1;
globalWorkSize[0] = ((p_Width + localWorkSize[0] - 1) / localWorkSize[0]) * localWorkSize[0];
globalWorkSize[1] = p_Height;
clEnqueueNDRangeKernel(cmdQ, kernel, 2, NULL, globalWorkSize, localWorkSize, 0, NULL, NULL);
}