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graph_print_op.cpp |
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@(@\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
.
C++ 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])
//
// C++ graph object
CppAD::cpp_graph graph_obj;
//
// operator being used
CppAD::graph::graph_op_enum op_enum;
//
// set scalars
graph_obj.function_name_set("print_op example");
size_t n_dynamic_ind = 1;
graph_obj.n_dynamic_ind_set(n_dynamic_ind);
size_t n_variable_ind = 1;
graph_obj.n_variable_ind_set(n_variable_ind);
//
// if p[0] <= 0: print "p[0] = ", p[0], "\n"
op_enum = CppAD::graph::print_graph_op;
graph_obj.operator_vec_push_back(op_enum);
size_t before = graph_obj.print_text_vec_size();
graph_obj.print_text_vec_push_back("p[0] = ");
graph_obj.operator_arg_push_back(before);
size_t after = graph_obj.print_text_vec_size();
graph_obj.print_text_vec_push_back("\n");
graph_obj.operator_arg_push_back(after);
graph_obj.operator_arg_push_back(1);
graph_obj.operator_arg_push_back(1);
//
// if x[0] <= 0: print "x[0] = ", x[0], "\n"
graph_obj.operator_vec_push_back(op_enum);
before = graph_obj.print_text_vec_size();
graph_obj.print_text_vec_push_back("x[0] = ");
graph_obj.operator_arg_push_back(before);
graph_obj.operator_arg_push_back(after);
graph_obj.operator_arg_push_back(2);
graph_obj.operator_arg_push_back(2);
//
// node_3 : log(p[0])
op_enum = CppAD::graph::log_graph_op;
graph_obj.operator_vec_push_back(op_enum);
graph_obj.operator_arg_push_back(1);
//
// node_4 : log(x[0])
graph_obj.operator_vec_push_back(op_enum);
graph_obj.operator_arg_push_back(2);
//
// node_5: log(p[0]) + log(x[0])
op_enum = CppAD::graph::add_graph_op;
graph_obj.operator_vec_push_back(op_enum);
graph_obj.operator_arg_push_back(3);
graph_obj.operator_arg_push_back(4);
//
// y[0] = log(p[0]) + log(x[0])
graph_obj.dependent_vec_push_back(5);
//
// f(x, p) = log(x) + log(p)
CppAD::ADFun<double> f;
f.from_graph(graph_obj);
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 graph and back again
f.to_graph(graph_obj);
f.from_graph(graph_obj);
// -----------------------------------------------------------------------
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/graph/print_op.cpp