#include "mat_mul.h"
#include "util.h"

#include <stdio.h>
#include <CL/cl.h>

#define CHECK_ERROR(err) \
  if (err != CL_SUCCESS) { \
    printf("[%s:%d] OpenCL error %d\n", __FILE__, __LINE__, err); \
    exit(EXIT_FAILURE); \
  }

#define NGPU 4

#define VW 8
#define TS 32
#define WPT 8

static cl_int err;
static cl_platform_id platform;
static cl_device_id device[NGPU];
static cl_context context;
static cl_command_queue queue[NGPU];
static cl_program program;
static cl_kernel kernel[NGPU];
static cl_mem a_d[NGPU], b_d[NGPU], c_d[NGPU];

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

static int min(int x, int y) {
  return x < y ? x : y;
}

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 offset,rows;

  // Setup kernel arguments
  for(int i=0; i<NGPU; i++){
    offset = M / NGPU * (i) + min(i, M % NGPU);      
    rows = M / NGPU * (i+1) + min(i+1, M % NGPU) - offset; 
    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), &rows);
    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


  // Run kernel
  for(int i=0; i<NGPU;i++){
    offset = M / NGPU * (i) + min(i, M % NGPU);      
    rows = M / NGPU * (i+1) + min(i+1, M % NGPU) - offset;

    

    size_t gws[2] = {(size_t)(rows+WPT-1)/WPT, (size_t)N}, lws[2] = {TS/WPT, TS};
 
 

    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("%d %d %d %d\n",(int)gws[0],(int)gws[1],(int)lws[0],(int)lws[1]);
    
    err = clEnqueueNDRangeKernel(queue[i], kernel[i], 2, NULL, gws, lws, 0, NULL, NULL);
   

  }

  // DO NOT REMOVE; NEEDED FOR TIME MEASURE
  for(int i=0; i<NGPU; 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, 4, device, "", NULL, NULL);
  if (err == CL_BUILD_PROGRAM_FAILURE) {
    size_t log_size;
    CHECK_ERROR(clGetProgramBuildInfo(program, device[0], CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size));
    char *log = (char*)malloc(log_size + 1);
    CHECK_ERROR(clGetProgramBuildInfo(program, device[0], 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
  err = clGetDeviceIDs(platform, CL_DEVICE_TYPE_GPU, 4, device, NULL);
  CHECK_ERROR(err);

  for(int i=0; i<NGPU; i++){
    print_device_info(device[i]);
  }


  // Create OpenCL context
  context = clCreateContext(NULL, 4, device, NULL, NULL, &err);
  CHECK_ERROR(err);



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

     
    CHECK_ERROR(err);
  }

  program = create_and_build_program_with_source(context, device, "kernel.cl");
  
  for(int i=0; i<NGPU; i++){
    kernel[i] = clCreateKernel(program, "sgemm", &err);
  }
  // Compile program from "kernel.cl"





  // Extract kernel from compiled program





  // Create GPU buffers

  // Write to GPU; A (cpu) -> a_d (gpu), B (cpu) -> b_d (gpu)
  
  int offset;      
  int rows; 
  

  for(int i=0; i<NGPU; i++){
    offset = M / NGPU * (i) + min(i, M % NGPU);      
    rows = M / NGPU * (i+1) + min(i+1, M % NGPU) - offset;
    
    //printf("%d %d %d\n",i,rows,offset);
    
    a_d[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, rows * K * sizeof(float), NULL, &err);
    CHECK_ERROR(err);
    b_d[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, K * N * sizeof(float), NULL, &err);
    CHECK_ERROR(err);
    c_d[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, rows * N * sizeof(float), NULL, &err);
    CHECK_ERROR(err);


    err = clEnqueueWriteBuffer(queue[i], a_d[i], CL_TRUE, 0, rows * K * sizeof(float), &A[offset*K], 0, NULL, NULL);
    CHECK_ERROR(err);
    err = clEnqueueWriteBuffer(queue[i], b_d[i], CL_TRUE, 0, K * N * sizeof(float), B, 0, NULL, NULL);
    CHECK_ERROR(err);
    
  }
  
 

  // DO NOT REMOVE; NEEDED FOR TIME MEASURE

    for(int i=0; i<NGPU; 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)
  
  int offset,rows;
  for(int i=0; i<NGPU; i++){
    offset = M / NGPU * (i) + min(i, M % NGPU);      
    rows = M / NGPU * (i+1) + min(i+1, M % NGPU) - offset; 
    err = clEnqueueReadBuffer(queue[i], c_d[i], CL_TRUE, 0, rows * N * sizeof(float), &C[offset*N], 0, NULL, NULL);
    CHECK_ERROR(err);
 
 //   print_mat(&C[offset*N],rows,N); 
  }
  

 
// print_mat(A,M,K);
// print_mat(B,K,N); 
// print_mat(C,M,N);
   
  // DO NOT REMOVE; NEEDED FOR TIME MEASURE
  for(int i=0; i<NGPU; i++){
      err = clFinish(queue[i]);
      CHECK_ERROR(err);
    }
}