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graph_cexp_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 Conditional Expressions: Example and Test
Source Code
# include <cppad/cppad.hpp>
bool cexp_op(void)
{ bool ok = true;
using std::string;
double eps99 = 99.0 * std::numeric_limits<double>::epsilon();
//
// AD graph example
// node_1 : p[0]
// node_2 : x[0]
// node_3 : c[0]
// node_4 : cexp_le(p[0], x[0], p[0], x[0])
// y[0] = cexp_le(p[0], x[0], p[0], 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("cexp_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);
graph_obj.constant_vec_push_back(-0.1);
//
// node_4 : cexp_le(p[0], x[0], p[0], x[0])
op_enum = CppAD::graph::cexp_le_graph_op;
graph_obj.operator_vec_push_back(op_enum);
graph_obj.operator_arg_push_back(1);
graph_obj.operator_arg_push_back(2);
graph_obj.operator_arg_push_back(1);
graph_obj.operator_arg_push_back(2);
//
// y[0] = cexp_le(p[0], x[0], p[0], x[0])
graph_obj.dependent_vec_push_back(4);
//
// f(x, p) = cexp_le(p[0], x[0], p[0], x[0])
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] = 0.2;
x[0] = 0.3;
//
// compute y = f(x, p)
f.new_dynamic(p);
CPPAD_TESTVECTOR(double) y = f.Forward(0, x);
//
// check result
double check;
if( p[0] <= x[0] )
check= p[0];
else
check = x[0];
//
// check result
ok &= CppAD::NearEqual(y[0], check, eps99, eps99);
// ----------------------------------------------------------------------
// Convert to Graph graph and back again
f.to_graph(graph_obj);
f.from_graph(graph_obj);
// ----------------------------------------------------------------------
//
// compute y = f(x, p)
f.new_dynamic(p);
y = f.Forward(0, x);
//
// check result
ok &= CppAD::NearEqual(y[0], check, eps99, eps99);
//
return ok;
}
Input File: example/graph/cexp_op.cpp