//Forget the program

#include "cl.cvl"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <civlc.h>

$input int NUM_DEVICES;
$input int MAX_NUM_DEVICES;
$assume 0 < NUM_DEVICES && NUM_DEVICES < MAX_NUM_DEVICES;

$input int DATA_SIZE;
$input int MAX_DATA_SIZE;
$assume 0 < DATA_SIZE && DATA_SIZE < MAX_NUM_DEVICES;

$input int LOCAL;
$input int MAX_LOCAL;
$assume 0 < LOCAL && LOCAL < MAX_LOCAL;
//this args struct will hold all the parameters of for the kernel function
typedef struct
{
  //Variables for kernels
  /*
  float * input;
  float * output;
  */
  void * input;
  void * output;
  int count;
  
}args;

/*
  args * argument	- Takes in the struct, which is changed for every program using a different kernel
*/
cl_kernel clCreateKernel(args * argument, char function[])
{
  cl_kernel kernel;
  kernel.arguments = argument;
  kernel.method = function;
  
  return kernel;
}

/*
  This is the kernel that processes compute with
  int workgroup		- Gives the workgroup that a particular process came from, made by clEnqueueNDRangeKernel
  int global_id		- Gives the global_id that a particular process has, given by workfunc
  int local_id		- Gives the local_id that a particular process has, given by workfunc
  float* input		- Kernel argument
  float* output		- Kernel argument
  int count			- Kernel argument
*/
void square(int workgroup, int global_id, int local_id, float* input, float* output, int count)
{
  //int i = get_global_id(0);
  int i = global_id;
  if (i < count)
  {
    output[i] = input[i] * input[i];
    //printf("output[%d] is %d\n", i, output[i]);
  }
}
/*
  workfunc assigns local and global ids, before calling the kernel. 
  Note: The function should be identical in all transformations except the calling of the kernel, which means that it cannot be in openCLshared.cvl
  size_t local		- The size of the workgroups, used to calculate blocks
  size_t global		- The total amount of work to be done
  cl_kernel param	- Holds the data for local_id, global_id, and the workgroup
  Use the print statement to get a better idea of what it means to split workgroups, local_ids, and global_ids
*/
void workfunc(size_t local, size_t global, cl_kernel param)
{
  $proc procs[local];
  for(int i = local * param.workgroup; i < local * param.workgroup + local; i++)
  {
    param.local_id = i % local;
    param.global_id = i;
    printf("My workgroup id is %d, my global id is %d, my local id is %d\n", param.workgroup, param.global_id, param.local_id);
    procs[param.local_id] = $spawn square(param.workgroup, param.global_id, param.local_id, ((args*)param.arguments)->input, ((args*)param.arguments)->output, ((args*)param.arguments)->count);
  }
  for(int j = 0; j < local; j++)
  {
    $wait(procs[j]);
  }
}

/*
  Splits up and spawns processes based on global and local, using block
  TODO: remove cl_command_queue completely and put into a "just in case" file, currently not needed
  cl_command_queue commands	- Holds a queue of the order that devices are to be executed
  cl_kernel kernel			- Holds all the arguments for the kernel, as well as local_id, global_id, and the workgroup
  size_t global				- The total amount of work to be done
  size_t local				- Number to split into workgroups by
*/
int clEnqueueNDRangeKernel(cl_kernel kernel, size_t global, size_t local)
{

  $assert(global % local == 0);
  int numworkgroups = global/local;
  cl_kernel param[numworkgroups];
  $proc procs[numworkgroups];
  //consider $parfor
  
  /*
  $domain(1) dom = {0 .. numworkgroups - 1};
  
  $for(int i: dom)
  {
    param[i] = kernel;
    param[i].workgroup = i;
  }
  $parfor(int i: dom)
  {
    workfunc(local, global, param[i]);
  }
  */
  
  for(int i = 0; i < global/local; i++)
  {
    param[i] = kernel;
    param[i].workgroup = i;
    procs[i] = $spawn workfunc(local, global, param[i]);
  }
       
  //this part here is the new clFinish(commands);
  for(int i = 0; i < global/local; i++)
  {
    $wait(procs[i]);
  }
  
  return CL_SUCCESS;
  
}


int main(int argc, char** argv)
{
  //Make function pointers for every method
  void (*squarePtr) (int, int, int, float *, float *, int);
  squarePtr = &square;
  
  args * arguments;
  arguments = (args*)malloc(sizeof(args));

  float data[DATA_SIZE];              // original data set given to device
  float results[DATA_SIZE];           // results returned from device
  unsigned int correct;               // number of correct results returned
  
  size_t global;                      // global domain size for our calculation
  size_t local;                       // local domain size for our calculation
  
  cl_device_id device_id;             // compute device id 
  cl_context context;                 // compute context
  cl_command_queue commands;          // compute command queue
  //cl_program program;                 // compute program
  cl_kernel kernel;                   // compute kernel
  int err;
  
  float * input;                       // device memory used for the input array
  float * output;                      // device memory used for the output array

  //Puts in data for input
  unsigned int count = DATA_SIZE;
  for(int i = 0; i < count; i++)
  {
    data[i] = i;
  }
  
  
  //clCreateProgram is far different from the real version, this just stores parameters for the kernel
  //In order to make this clear, it is clCreateProgram and not something like clCreateProgramFromSource, which actually exists in openCL code
  //program = clCreateProgram(arguments);
  
  kernel = clCreateKernel(arguments, "square");
  
  //replaces clCreateBuffer
  input = (float *) malloc(sizeof(float) * count);
  output = (float *) malloc(sizeof(float) * count);
  
  
  //replaces clEnqueueWriteBuffer, puts data into the input to be put into the kernel arguments
  memcpy(input, data, sizeof(float) * count);
  
  /*
  err = 0;
  err = clSetKernelArg(kernel, 0, sizeof(cl_mem), &input);
  err = clSetKernelArg(kernel, 1, sizeof(cl_mem), &output);
  err = clSetKernelArg(kernel, 2, sizeof(unsigned int), &count);
  */
  
  //use pointer instead of malloc + memcpy for global variables
  //((args*)kernel.arguments)->input = (float*)malloc(sizeof(float) * count);
  //memcpy(((args *)kernel.arguments)->input, input, sizeof(float) * count);
  ((args*)kernel.arguments)->input = input;
  
  //((args*)kernel.arguments)->output = (float*)malloc(sizeof(float) * count);
  //memcpy(((args*)kernel.arguments)->output, output, sizeof(float));
  ((args*)kernel.arguments)->output = output;

  ((args*)kernel.arguments)->count = count;
  //no malloc needed for non pointers
  
  //clGetKernelWorkGroupInfo would get a local size optimal for a device, but is not needed here
  local = LOCAL;
  
  global = count;
  /*
    commands holds the "order" of devices
    kernel holds program, which holds variables
    offset not implemented
  */
  err = clEnqueueNDRangeKernel(kernel, global, local);
  
  //Replaces clEnqueueReadBuffer, which takes one of the saved variables and puts it out to another one
  memcpy(results, output, sizeof(float) * count);
  
  //verifies that all values in results are actually squared
  correct = 0;
  for(int i = 0; i < count; i++)
  {
    if(results[i] == data[i] * data[i])
    {
      correct++;
    }
  }
  printf("Computed '%d/%d' correct values!\n", correct, count);
  
  //TODO: Think of using void * array instead of regular arguments to make freeing easier
  
  free(((args*)kernel.arguments)->input);
  free(((args*)kernel.arguments)->output);
  /*
  free(input);
  free(output);
  */
  free(arguments);
  
  return 0;
}
	Completed ABC example. Worked on 
	
	Think of ways to implement multiple kernel methods using square.cvl without breaking it.
	
	
	Exact implementations for multiple kernel methods not clear yet. Next example with multiple methods uses files with the same method