////CPP FILE
#include <clw_context.hpp>
#include <clw_vector.hpp>
#include <clw_function.hpp>
#include <vector>
int main(){
  clw::context     context;
  clw::vector<int> data(context, std::vector<int>{1,2,3,4});
  clw::function    function(context, "path/to/quick_test.cl", "run");
  function.execute({4,0,0}, {4,0,0}, data, 4, 42);
  data.pull();
  return data[0] + data[1] + data[2];
}

////CPP FILE
#include <clw_context.hpp>
#include <clw_vector.hpp>
#include <clw_function.hpp>
#include <vector>
int main(){
  clw::context test_context; //Create context (device 0 is always selected for now)
  //Create array of int with 1 << 14 elements, and don't push to device (i.e GPU) memory
  constexpr const int size = 1 << 14; 
  clw::vector<int> data(test_context, size, false /*do not push to device on init.*/);
  
  //Give each value in data a unqiue value
  for(int i = 0; i < size; ++i){
   data[i] = i;
  }
  
  //Push data to device (i.e GPU) memory
  data.push();
  //Create a function (kernel) object from the function called run in file quick_test.cl
  clw::function f(test_context, "path/to/quick_test.cl", "run", "#define SOME_RANDOM_STUFF");
  
  //Run the function (kernel) f on the device (i.e GPU) with:
  // Global size (size, 0, 0) = (size, 1, 1)
  // Local size  (32, 0, 0)   = (32, 1, 1)
  // First parameter  = data (the array defined previously)
  // Second parameter = size
  // Third parameter  = 42
  f.execute({size,0,0}, {32,0,0}, data, size, 42);
  
  //Pull data into host memory
  data.pull();
  //Check if kernel executed correctly
  for(int i = 0; i < size; ++i){
   if(data[i] != i + 42) return 1;
  }
  return 0;
}