//
// File:       fft_setup.cpp
//
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////////////////////////////////////////////////////////////////////////////////////////////////////


#include "fft_internal.h"
#include "fft_base_kernels.h"
#include <stdlib.h>
#include <string.h>
#include <fcntl.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <iostream>
#include <string>
#include <sstream>
#include <fstream>
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 = NULL;

    if(Plan->kernel_string)
    {
        delete Plan->kernel_string;
        Plan->kernel_string = NULL;
    }
    if(Plan->twist_kernel)
    {
        clReleaseKernel(Plan->twist_kernel);
        Plan->twist_kernel = NULL;
    }
    if(Plan->program)
    {
        clReleaseProgram(Plan->program);
        Plan->program = NULL;
    }
    if(Plan->tempmemobj)
    {
        clReleaseMemObject(Plan->tempmemobj);
        Plan->tempmemobj = NULL;
    }
    if(Plan->tempmemobj_real)
    {
        clReleaseMemObject(Plan->tempmemobj_real);
        Plan->tempmemobj_real = NULL;
    }
    if(Plan->tempmemobj_imag)
    {
        clReleaseMemObject(Plan->tempmemobj_imag);
        Plan->tempmemobj_imag = NULL;
    }
}

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 = 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, NULL);
            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 = NULL;
    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 = 0;
    plan->num_kernels = 0;
    plan->twist_kernel = 0;
    plan->program = 0;
    plan->temp_buffer_needed = 0;
    plan->last_batch_size = 0;
    plan->tempmemobj = 0;
    plan->tempmemobj_real = 0;
    plan->tempmemobj_imag = 0;
    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);

    char *source_str;// = plan->kernel_string->c_str(); // gen kernel
#ifdef gen_kernel
    char *kernel_name_buf = new char[10];
    strcpy(kernel_name_buf,plan->kernel_info->kernel_name);
    std::ofstream ofs(strcat(kernel_name_buf,".cl"));
    ofs<<*plan->kernel_string<<std::endl;
    delete kernel_name_buf;
    // printf("%s \n",plan->kernel_string->c_str());
    //    exit(0);
#endif
    int fd = open("./fft0.cl",O_RDONLY);
    
    if (fd<0) {
        fprintf(stderr, "Failed to load kernel.\n");
        exit(1);
    }
    
    struct stat stats;
    fstat(fd,&stats);
    off_t size = stats.st_size;
    if (size<=0) {
        fprintf(stderr, "Failed to load kernel.\n");
        exit(1);
    }

    source_str = (char*)alloca(size);
    size_t source_size = read(fd, source_str, size);
    close(fd);

    plan->program = clCreateProgramWithSource(context, 1, (const char**) &source_str, (const size_t *)&source_size, &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, NULL);
        ERR_MACRO(err);

        if(device_type == CL_DEVICE_TYPE_GPU)
        {
            gpu_found = 1;
            err = clBuildProgram(plan->program, 1, &devices[i], "-cl-mad-enable", NULL, NULL);
            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, NULL, &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, NULL);
                ERR_MACRO(err);

                err = clGetDeviceInfo(devices[i], CL_DEVICE_NAME, sizeof(devicename), devicename, NULL);
                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)
{
    cl_fft_plan *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, lDim;
    FILE *out;
    if(!file)
        out = stdout;
    else
        out = file;

    cl_fft_plan *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());
}