#include "mat_mul.h"

#include <stdio.h>
#include <CL/cl.h>
       
       
#define MAX_DEV 4
#define CHECK_ERROR(err) \
  if (err != CL_SUCCESS) { \
    printf("[%s:%d] OpenCL error %d\n", __FILE__, __LINE__, err); \
    exit(EXIT_FAILURE); \
  }   
    
static cl_int err;
static cl_platform_id platform;
static cl_device_id device[MAX_DEV];
static cl_context context;
static cl_command_queue queue[MAX_DEV];
static cl_program program[MAX_DEV];
static cl_kernel kernel[MAX_DEV];
static cl_mem a_d[MAX_DEV], b_d[MAX_DEV], c_d[MAX_DEV];

static float *A, *B, *C;
static int M, N, K;
static int ndev;

// Constants for kernels 3, 5
#define TS  32
#define WPT 8                        // The amount of work-per-thread, i.e. the thread-coarsening factor
#define RTS (TS/WPT)                 // The reduced tile-size in one dimension

void mat_mul(float *_A, float *_B, float *_C, int _M, int _N, int _K) {
  A = _A, B = _B, C = _C;
  M = _M, N = _N, K = _K;
  
  int size;
  for(int i=0;i<ndev;i++) {
    size=(i==ndev-1)?(M-(M/ndev*(ndev-1))):M/ndev;
  // Setup kernel arguments
  err = clSetKernelArg(kernel[i], 0, sizeof(cl_mem), &a_d[i]);
  CHECK_ERROR(err);
  err = clSetKernelArg(kernel[i], 1, sizeof(cl_mem), &b_d[i]);
  CHECK_ERROR(err);
  err = clSetKernelArg(kernel[i], 2, sizeof(cl_mem), &c_d[i]);
  CHECK_ERROR(err);
//  err = clSetKernelArg(kernel[i], 3, sizeof(int), &M);
  err = clSetKernelArg(kernel[i], 3, sizeof(int), &size);
  CHECK_ERROR(err);
  err = clSetKernelArg(kernel[i], 4, sizeof(int), &N);
  CHECK_ERROR(err);
  err = clSetKernelArg(kernel[i], 5, sizeof(int), &K);
  CHECK_ERROR(err);

  // Setup global work size and local work size
  size_t gws[2] = {(size_t)(size+WPT-1)/WPT, (size_t)N}, lws[2] = {TS/WPT, TS}; //multi device
  //size_t gws[2] = {(size_t)M/WPT, (size_t)N}, lws[2] = {TS/WPT, TS};// kernel 3
   //size_t gws[2] = {(size_t)(size+WPT-1)/WPT, (size_t)N}, lws[2] = {TS, TS}; // kernel 2
  //size_t gws[2] = {(size_t)M, (size_t)N}, lws[2] = {TS/WPT, TS};
  //printf("orgin : gs[0] = %d , gs[1] =%d , lws[0] =%d, lws[1] =%d \n", gws[0], gws[1], lws[0], lws[1]);
  //size_t gws[2] = {(size_t)M, (size_t)N}, lws[2] = {1, 1};
  for (int j = 0; j < 2; ++j) {
    // By OpenCL spec, global work size should be MULTIPLE of local work size
    // Formula below achieve it
    // e.g., gws = 25, lws = 16, then (25 + 16 - 1) / 16 * 16 = 40 / 16 * 16 = 2 * 16 = 32
    gws[j] = (gws[j] + lws[j] - 1) / lws[j] * lws[j];
  }

  
  //printf("changed : gs[0] = %d , gs[1] =%d , lws[0] =%d, lws[1] =%d \n", gws[0], gws[1], lws[0], lws[1]);
  

  // Run kernel
  err = clEnqueueNDRangeKernel(queue[i], kernel[i], 2, NULL, gws, lws, 0, NULL, NULL);
  CHECK_ERROR(err);
  }
  // DO NOT REMOVE; NEEDED FOR TIME MEASURE
  for (int i = 0; i < ndev; i++) {
  err = clFinish(queue[i]);
  CHECK_ERROR(err);
  }
}

static void print_platform_info(cl_platform_id platform) {
  size_t sz;
  char *buf;
  CHECK_ERROR(clGetPlatformInfo(platform, CL_PLATFORM_NAME, 0, NULL, &sz));
  buf = (char*)malloc(sz);
  CHECK_ERROR(clGetPlatformInfo(platform, CL_PLATFORM_NAME, sz, buf, NULL));
  printf("Detected OpenCL platform: %s\n", buf);
  free(buf);
}

static void print_device_info(cl_device_id device) {
  size_t sz;
  char *buf;
  CHECK_ERROR(clGetDeviceInfo(device, CL_DEVICE_NAME, 0, NULL, &sz));
  buf = (char*)malloc(sz);
  CHECK_ERROR(clGetDeviceInfo(device, CL_DEVICE_NAME, sz, buf, NULL));
  printf("Detected OpenCL device: %s\n", buf);
  free(buf);
}

static cl_program create_and_build_program_with_source(cl_context context, cl_device_id device, const char *file_name) {
  FILE *file = fopen(file_name, "rb");
  if (file == NULL) {
    printf("Failed to open %s\n", file_name);
    exit(EXIT_FAILURE);
  }
  fseek(file, 0, SEEK_END);
  size_t source_size = ftell(file);
  rewind(file);
  char *source_code = (char*)malloc(source_size + 1);
  size_t ntotal = 0;
  while (ntotal < source_size) {
    int nread = fread(source_code, sizeof(char), source_size, file);
    ntotal += nread;
  }
  source_code[source_size] = '\0';
  fclose(file);
  cl_program program = clCreateProgramWithSource(context, 1, (const char **)&source_code, &source_size, &err);
  CHECK_ERROR(err);
  free(source_code);
  err = clBuildProgram(program, 1, &device, "", NULL, NULL);
  if (err == CL_BUILD_PROGRAM_FAILURE) {
    size_t log_size;
    CHECK_ERROR(clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size));
    char *log = (char*)malloc(log_size + 1);
    CHECK_ERROR(clGetProgramBuildInfo(program, device, CL_PROGRAM_BUILD_LOG, log_size, log, NULL));
    log[log_size] = 0;
    printf("Compile error:\n%s\n", log);
    free(log);
  }
  CHECK_ERROR(err);
  return program;
}

void mat_mul_init(float *A, float *B, float *C, int M, int N, int K) {
  // Get OpenCL platform
  err = clGetPlatformIDs(1, &platform, NULL);
  CHECK_ERROR(err);
  print_platform_info(platform);

  // Get OpenCL device
  //cl_uint cnt;
  err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 0, NULL, (cl_uint*)&ndev);
  err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, ndev, device, NULL);
  printf("///////////////////  Get Device Info : %d\n", ndev);
  CHECK_ERROR(err);
  print_device_info(device[0]);

  // Create OpenCL context
  context = clCreateContext(NULL, ndev, device, NULL, NULL, &err);
  CHECK_ERROR(err);

  // Create OpenCL command queue
  int size;
  for(int i=0;i<ndev;i++) {
  queue[i] = clCreateCommandQueue(context, device[i], 0, &err);
  CHECK_ERROR(err);

  // Compile program from "kernel.cl"
  program[i] = create_and_build_program_with_source(context, device[i], "kernel.cl");

  // Extract kernel from compiled program
  kernel[i] = clCreateKernel(program[i], "sgemm", &err); 
  CHECK_ERROR(err);

  // Create GPU buffers
  size=(i==ndev-1)?(M-(M/ndev*(ndev-1))):M/ndev;
//  a_d = clCreateBuffer(context, CL_MEM_READ_WRITE, M * K * sizeof(float), NULL, &err);
  a_d[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, size * K * sizeof(float), NULL, &err);
  CHECK_ERROR(err);
//  b_d = clCreateBuffer(context, CL_MEM_READ_WRITE, K * N * sizeof(float), NULL, &err);
  b_d[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, K * N * sizeof(float), NULL, &err);
  CHECK_ERROR(err);
//  c_d = clCreateBuffer(context, CL_MEM_READ_WRITE, M * N * sizeof(float), NULL, &err);
  c_d[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, size * N * sizeof(float), NULL, &err);
  CHECK_ERROR(err);

  // Write to GPU; A (cpu) -> a_d (gpu), B (cpu) -> b_d (gpu)
  err = clEnqueueWriteBuffer(queue[i], a_d[i], CL_FALSE, 0, size * K * sizeof(float), &A[M/ndev*K*i], 0, NULL, NULL);
  CHECK_ERROR(err);
  err = clEnqueueWriteBuffer(queue[i], b_d[i], CL_FALSE, 0, K * N * sizeof(float), B, 0, NULL, NULL);
  CHECK_ERROR(err);
  }
  // DO NOT REMOVE; NEEDED FOR TIME MEASURE
  for(int i=0;i<ndev;i++) {
  err = clFinish(queue[i]);
  CHECK_ERROR(err);
  }
}

void mat_mul_final(float *A, float *B, float *C, int M, int N, int K) {
  // Read from GPU; c_d (gpu) -> C (cpu)
  for(int i=0;i<ndev;i++) {
    int size=(i==ndev-1)?(M-(M/ndev*(ndev-1))):M/ndev;
  err = clEnqueueReadBuffer(queue[i], c_d[i], CL_TRUE, 0, size * N * sizeof(float), &C[M/ndev*N*i], 0, NULL, NULL);
  CHECK_ERROR(err);
  }
  // DO NOT REMOVE; NEEDED FOR TIME MEASURE
  for(int i=0;i<ndev;i++) {
  err = clFinish(queue[i]);
  CHECK_ERROR(err);
  }
}