gnss-sdr/src/algorithms/libs/opencl/fft_setup.cc

402 lines
11 KiB
C++

/*!
* \file fft_setup.cc
*
* Version: <1.0>
*
* Copyright ( C ) 2008 Apple Inc. All Rights Reserved.
* SPDX-License-Identifier: LicenseRef-Apple-Permissive
*
*/
#include "fft_base_kernels.h"
#include "fft_internal.h"
#include <cstdlib>
#include <cstring>
#include <iostream>
#include <limits>
#include <sstream>
#include <string>
#include <sys/stat.h>
#include <sys/types.h>
using namespace std;
extern void getKernelWorkDimensions(cl_fft_plan *plan, cl_fft_kernel_info *kernelInfo, cl_int *batchSize, size_t *gWorkItems, size_t *lWorkItems);
static void
getBlockConfigAndKernelString(cl_fft_plan *plan)
{
plan->temp_buffer_needed = 0;
*plan->kernel_string += baseKernels;
if (plan->format == clFFT_SplitComplexFormat)
{
*plan->kernel_string += twistKernelPlannar;
}
else
{
*plan->kernel_string += twistKernelInterleaved;
}
switch (plan->dim)
{
case clFFT_1D:
FFT1D(plan, cl_fft_kernel_x);
break;
case clFFT_2D:
FFT1D(plan, cl_fft_kernel_x);
FFT1D(plan, cl_fft_kernel_y);
break;
case clFFT_3D:
FFT1D(plan, cl_fft_kernel_x);
FFT1D(plan, cl_fft_kernel_y);
FFT1D(plan, cl_fft_kernel_z);
break;
default:
return;
}
plan->temp_buffer_needed = 0;
cl_fft_kernel_info *kInfo = plan->kernel_info;
while (kInfo)
{
plan->temp_buffer_needed |= !kInfo->in_place_possible;
kInfo = kInfo->next;
}
}
static void
deleteKernelInfo(cl_fft_kernel_info *kInfo)
{
if (kInfo)
{
if (kInfo->kernel_name)
{
free(kInfo->kernel_name);
}
if (kInfo->kernel)
{
clReleaseKernel(kInfo->kernel);
}
free(kInfo);
}
}
static void
destroy_plan(cl_fft_plan *Plan)
{
cl_fft_kernel_info *kernel_info = Plan->kernel_info;
while (kernel_info)
{
cl_fft_kernel_info *tmp = kernel_info->next;
deleteKernelInfo(kernel_info);
kernel_info = tmp;
}
Plan->kernel_info = nullptr;
if (Plan->kernel_string)
{
delete Plan->kernel_string;
Plan->kernel_string = nullptr;
}
if (Plan->twist_kernel)
{
clReleaseKernel(Plan->twist_kernel);
Plan->twist_kernel = nullptr;
}
if (Plan->program)
{
clReleaseProgram(Plan->program);
Plan->program = nullptr;
}
if (Plan->tempmemobj)
{
clReleaseMemObject(Plan->tempmemobj);
Plan->tempmemobj = nullptr;
}
if (Plan->tempmemobj_real)
{
clReleaseMemObject(Plan->tempmemobj_real);
Plan->tempmemobj_real = nullptr;
}
if (Plan->tempmemobj_imag)
{
clReleaseMemObject(Plan->tempmemobj_imag);
Plan->tempmemobj_imag = nullptr;
}
}
static int
createKernelList(cl_fft_plan *plan)
{
cl_program program = plan->program;
cl_fft_kernel_info *kernel_info = plan->kernel_info;
cl_int err;
while (kernel_info)
{
kernel_info->kernel = clCreateKernel(program, kernel_info->kernel_name, &err);
if (!kernel_info->kernel || err != CL_SUCCESS)
{
return err;
}
kernel_info = kernel_info->next;
}
if (plan->format == clFFT_SplitComplexFormat)
{
plan->twist_kernel = clCreateKernel(program, "clFFT_1DTwistSplit", &err);
}
else
{
plan->twist_kernel = clCreateKernel(program, "clFFT_1DTwistInterleaved", &err);
}
if (!plan->twist_kernel || err)
{
return err;
}
return CL_SUCCESS;
}
int getMaxKernelWorkGroupSize(cl_fft_plan *plan, unsigned int *max_wg_size, unsigned int num_devices, cl_device_id *devices)
{
int reg_needed = 0;
*max_wg_size = std::numeric_limits<int>::max();
int err;
unsigned wg_size;
unsigned int i;
for (i = 0; i < num_devices; i++)
{
cl_fft_kernel_info *kInfo = plan->kernel_info;
while (kInfo)
{
err = clGetKernelWorkGroupInfo(kInfo->kernel, devices[i], CL_KERNEL_WORK_GROUP_SIZE, sizeof(size_t), &wg_size, nullptr);
if (err != CL_SUCCESS)
{
return -1;
}
if (wg_size < kInfo->num_workitems_per_workgroup)
{
reg_needed |= 1;
}
if (*max_wg_size > wg_size)
{
*max_wg_size = wg_size;
}
kInfo = kInfo->next;
}
}
return reg_needed;
}
#define ERR_MACRO(err) \
{ \
if ((err) != CL_SUCCESS) \
{ \
if (error_code) \
*error_code = err; \
clFFT_DestroyPlan((clFFT_Plan)plan); \
return (clFFT_Plan)NULL; \
} \
}
clFFT_Plan
clFFT_CreatePlan(cl_context context, clFFT_Dim3 n, clFFT_Dimension dim, clFFT_DataFormat dataFormat, cl_int *error_code)
{
int i;
cl_int err;
int isPow2 = 1;
cl_fft_plan *plan = nullptr;
ostringstream kString;
int num_devices;
int gpu_found = 0;
cl_device_id devices[16];
size_t ret_size;
cl_device_type device_type;
if (!context)
ERR_MACRO(CL_INVALID_VALUE);
isPow2 |= n.x && !((n.x - 1) & n.x);
isPow2 |= n.y && !((n.y - 1) & n.y);
isPow2 |= n.z && !((n.z - 1) & n.z);
if (!isPow2)
ERR_MACRO(CL_INVALID_VALUE);
if ((dim == clFFT_1D && (n.y != 1 || n.z != 1)) || (dim == clFFT_2D && n.z != 1))
ERR_MACRO(CL_INVALID_VALUE);
plan = (cl_fft_plan *)malloc(sizeof(cl_fft_plan));
if (!plan)
ERR_MACRO(CL_OUT_OF_RESOURCES);
plan->context = context;
clRetainContext(context);
plan->n = n;
plan->dim = dim;
plan->format = dataFormat;
plan->kernel_info = nullptr;
plan->num_kernels = 0;
plan->twist_kernel = nullptr;
plan->program = nullptr;
plan->temp_buffer_needed = 0;
plan->last_batch_size = 0;
plan->tempmemobj = nullptr;
plan->tempmemobj_real = nullptr;
plan->tempmemobj_imag = nullptr;
plan->max_localmem_fft_size = 2048;
plan->max_work_item_per_workgroup = 256;
plan->max_radix = 16;
plan->min_mem_coalesce_width = 16;
plan->num_local_mem_banks = 16;
patch_kernel_source:
plan->kernel_string = new string("");
if (!plan->kernel_string)
ERR_MACRO(CL_OUT_OF_RESOURCES);
getBlockConfigAndKernelString(plan);
const char *source_str = plan->kernel_string->c_str();
plan->program = clCreateProgramWithSource(context, 1, (const char **)&source_str, nullptr, &err);
ERR_MACRO(err);
err = clGetContextInfo(context, CL_CONTEXT_DEVICES, sizeof(devices), devices, &ret_size);
ERR_MACRO(err);
num_devices = (int)(ret_size / sizeof(cl_device_id));
for (i = 0; i < num_devices; i++)
{
err = clGetDeviceInfo(devices[i], CL_DEVICE_TYPE, sizeof(device_type), &device_type, nullptr);
ERR_MACRO(err);
if (device_type == CL_DEVICE_TYPE_GPU)
{
gpu_found = 1;
err = clBuildProgram(plan->program, 1, &devices[i], "-cl-mad-enable", nullptr, nullptr);
if (err != CL_SUCCESS)
{
char *build_log;
char devicename[200];
size_t log_size;
err = clGetProgramBuildInfo(plan->program, devices[i], CL_PROGRAM_BUILD_LOG, 0, nullptr, &log_size);
ERR_MACRO(err);
build_log = (char *)malloc(log_size + 1);
err = clGetProgramBuildInfo(plan->program, devices[i], CL_PROGRAM_BUILD_LOG, log_size, build_log, nullptr);
ERR_MACRO(err);
err = clGetDeviceInfo(devices[i], CL_DEVICE_NAME, sizeof(devicename), devicename, nullptr);
ERR_MACRO(err);
fprintf(stdout, "FFT program build log on device %s\n", devicename);
fprintf(stdout, "%s\n", build_log);
free(build_log);
ERR_MACRO(err);
}
}
}
if (!gpu_found)
ERR_MACRO(CL_INVALID_CONTEXT);
err = createKernelList(plan);
ERR_MACRO(err);
// we created program and kernels based on "some max work group size (default 256)" ... this work group size
// may be larger than what kernel may execute with ... if thats the case we need to regenerate the kernel source
// setting this as limit i.e max group size and rebuild.
unsigned int max_kernel_wg_size;
int patching_req = getMaxKernelWorkGroupSize(plan, &max_kernel_wg_size, num_devices, devices);
if (patching_req == -1)
{
ERR_MACRO(err);
}
if (patching_req)
{
destroy_plan(plan);
plan->max_work_item_per_workgroup = max_kernel_wg_size;
goto patch_kernel_source;
}
cl_fft_kernel_info *kInfo = plan->kernel_info;
while (kInfo)
{
plan->num_kernels++;
kInfo = kInfo->next;
}
if (error_code)
{
*error_code = CL_SUCCESS;
}
return (clFFT_Plan)plan;
}
void clFFT_DestroyPlan(clFFT_Plan plan)
{
auto *Plan = (cl_fft_plan *)plan;
if (Plan)
{
destroy_plan(Plan);
clReleaseContext(Plan->context);
free(Plan);
}
}
void clFFT_DumpPlan(clFFT_Plan Plan, FILE *file)
{
size_t gDim;
size_t lDim;
FILE *out;
if (!file)
{
out = stdout;
}
else
{
out = file;
}
auto *plan = (cl_fft_plan *)Plan;
cl_fft_kernel_info *kInfo = plan->kernel_info;
while (kInfo)
{
cl_int s = 1;
getKernelWorkDimensions(plan, kInfo, &s, &gDim, &lDim);
fprintf(out, "Run kernel %s with global dim = {%zd*BatchSize}, local dim={%zd}\n", kInfo->kernel_name, gDim, lDim);
kInfo = kInfo->next;
}
fprintf(out, "%s\n", plan->kernel_string->c_str());
}