json_sum_op.cpp

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Json sum Operator: Example and Test

Source Code

# include <cppad/cppad.hpp>

bool sum_op(void)
{  bool ok = true;
   using CppAD::vector;
   using CppAD::AD;
   //
   // AD graph example
   // node_1 : p[0]
   // node_2 : p[1]
   // node_3 : p[2]
   // node_4 : x[0]
   // node_5 : p[0] + p[1] + p[2]
   // node_6 : x[0] + p[0] + p[1] + p[2]
   // y[0]   = x[0] + p[0] + p[1] + p[2]
   // use single quote to avoid having to escape double quote
   std::string json =
      "{\n"
      "   'function_name'  : 'sum_op example',\n"
      "   'op_define_vec'  : [ 2, [\n"
      "       { 'op_code':1, 'name':'add', 'n_arg':2 } ,\n"
      "       { 'op_code':2, 'name':'sum' } ]\n"
      "   ],\n"
      "   'n_dynamic_ind'  : 3,\n"
      "   'n_variable_ind' : 1,\n"
      "   'constant_vec'   : [ 0, [ ] ],\n"
      "   'op_usage_vec'   : [ 2, [\n"
      "       [ 2, 1, 3, [1, 2, 3] ] ,\n" // p[0] + p[1] + p[2]
      "       [ 2, 1, 2, [4, 5 ]   ] ]\n" // x[0] + p[0] + p[1] + p[2]
      "   ],\n"
      "   'dependent_vec' : [ 1, [6] ] \n"
      "}\n";
   // Convert the single quote to double quote
   for(size_t i = 0; i < json.size(); ++i)
      if( json[i] == '\'' ) json[i] = '"';
   //
   // f(x, p) = x_0 + p_0 + p_1 + p_2
   CppAD::ADFun<double> f;
   f.from_json(json);
   //
   ok &= f.Domain() == 1;
   ok &= f.Range() == 1;
   ok &= f.size_dyn_ind() == 3;
   //
   // set independent variables and parameters
   vector<double> p(3), x(1);
   for(size_t j = 0; j < 3; ++j)
      p[j] = double(j + 1);
   x[0] = 5.0;
   //
   // compute y = f(x, p)
   f.new_dynamic(p);
   vector<double> y = f.Forward(0, x);
   //
   // check result
   ok &= y[0] == x[0] + p[0] + p[1] + p[2];
   // -----------------------------------------------------------------------
   // Convert to Json graph and back again
   json = f.to_json();
   // std::cout << "json = " << json;
   f.from_json(json);
   // -----------------------------------------------------------------------
   ok &= f.Domain() == 1;
   ok &= f.Range() == 1;
   ok &= f.size_dyn_ind() == 3;
   //
   // set independent variables and parameters
   for(size_t j = 0; j < 3; ++j)
      p[j] = double(j + 1);
   x[0] = 5.0;
   //
   // compute y = f(x, p)
   f.new_dynamic(p);
   y = f.Forward(0, x);
   //
   // check result
   ok &= y[0] == x[0] + p[0] + p[1] + p[2];
   //
   return ok;
}