|
Prev
| Next
|
|
|
|
|
|
json_print_op.cpp |
|
@(@\newcommand{\W}[1]{ \; #1 \; }
\newcommand{\R}[1]{ {\rm #1} }
\newcommand{\B}[1]{ {\bf #1} }
\newcommand{\D}[2]{ \frac{\partial #1}{\partial #2} }
\newcommand{\DD}[3]{ \frac{\partial^2 #1}{\partial #2 \partial #3} }
\newcommand{\Dpow}[2]{ \frac{\partial^{#1}}{\partial {#2}^{#1}} }
\newcommand{\dpow}[2]{ \frac{ {\rm d}^{#1}}{{\rm d}\, {#2}^{#1}} }@)@This is cppad-20221105 documentation. Here is a link to its
current documentation
.
Json AD Graph print Operator: Example and Test
Source Code
# include <cppad/cppad.hpp>
bool print_op(void)
{ bool ok = true;
using std::string;
std::stringstream stream_out;
double eps99 = 99.0 * std::numeric_limits<double>::epsilon();
//
// AD graph example
// node_1 : p[0]
// node_2 : x[0]
// : print(p[0], "p[0] = ", p[0], "\n")
// : print(x[0], "x[0] = ", x[0], "\n")
// node_3 : log(p[0])
// node_4 : log(x[0])
// node_5 = log(p[0]) + log(x[0])
// y[0] = log(p[0]) + log(x[0])
// use single quote to avoid having to escape double quote
std::string json =
"{\n"
" 'function_name' : 'print_op example',\n"
" 'op_define_vec' : [ 3, [\n"
" { 'op_code':1, 'name':'print' } ,\n"
" { 'op_code':2, 'name':'log', 'n_arg':1 } ,\n"
" { 'op_code':3, 'name':'add', 'n_arg':2 } ]\n"
" ],\n"
" 'n_dynamic_ind' : 1,\n"
" 'n_variable_ind' : 1,\n"
" 'constant_vec' : [ 0, [ ] ],\n"
" 'op_usage_vec' : [ 5, [\n"
" [ 1, 'p[0] = ', '\n', 0, 2, [1, 1 ] ] ,\n" // first print
" [ 1, 'x[0] = ', '\n', 0, 2, [2, 2 ] ] ,\n" // second print
" [ 2, 1 ] ,\n" // log(p[0])
" [ 2, 2 ] ,\n" // log(x[0])
" [ 3, 3, 4 ] ]\n" // log(p[0]) + log(x[0])
" ],\n"
" 'dependent_vec' : [ 1, [5] ] \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) = log(p[0]) + log(x[0])
CppAD::ADFun<double> f;
f.from_json(json);
ok &= f.Domain() == 1;
ok &= f.Range() == 1;
ok &= f.size_dyn_ind() == 1;
//
// set independent variables and parameters
CPPAD_TESTVECTOR(double) p(1), x(1);
p[0] = 1.0;
x[0] = 2.0;
//
// compute y = f(x, p)
f.new_dynamic(p);
CPPAD_TESTVECTOR(double) y = f.Forward(0, x, stream_out);
//
// check result
ok &= stream_out.str() == "";
double check = std::log(p[0]) + std::log(x[0]);
ok &= CppAD::NearEqual(y[0], check, eps99, eps99);
//
// -----------------------------------------------------------------------
// Convert function to json and back again
json = f.to_json();
// std::cout << json;
f.from_json(json);
// -----------------------------------------------------------------------
ok &= f.Domain() == 1;
ok &= f.Range() == 1;
ok &= f.size_dyn_ind() == 1;
//
// set independent variables and parameters
p[0] = 1.0;
x[0] = -2.0;
//
// compute y = f(x, p)
f.new_dynamic(p);
f.check_for_nan(false);
y = f.Forward(0, x, stream_out);
//
// check result
ok &= stream_out.str() == "x[0] = -2\n";
ok &= std::isnan(y[0]);
//
return ok;
}
Input File: example/json/print_op.cpp