Prev Next json_unary_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 Unary Operators: Example and Test

Source Code

# include <cppad/cppad.hpp>

bool unary_op(void)
{   bool ok = true;
    using CppAD::vector;
    using CppAD::AD;
    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 : sin(p[0])
    // node_5 : sin(x[0])
    // node_6 : sin(c[0])
    // node_7 : sin(p[0]) + sin(x[0]) + sin(c[0])
    // y[0]   = sin(p[0]) + sin(x[0]) + sin(c[0])
    // use single quote to avoid having to escape double quote
    std::string json =
        "{\n"
        "   'function_name'  : 'unary_op example',\n"
        "   'op_define_vec'  : [ 2, [\n"
        "       { 'op_code':1, 'name':'sin', 'n_arg':1 } ,\n"
        "       { 'op_code':2, 'name':'sum'            } ]\n"
        "   ],\n"
        "   'n_dynamic_ind'  : 1,\n"
        "   'n_variable_ind' : 1,\n"
        "   'constant_vec'   : [ 1, [ -0.1 ] ],\n" // c[0]
        "   'op_usage_vec'   : [ 4, [\n"
        "       [ 1, 1]                ,\n" // sin(p[0])
        "       [ 1, 2]                ,\n" // sin(x[0])
        "       [ 1, 3]                ,\n" // sin(c[0])
        "       [ 2, 1, 3, [4, 5, 6] ] ]\n" // sin(p[0])+sin(x[0])+sin(c[0])
        "   ],\n"
        "   'dependent_vec' : [ 1, [7] ] \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) = sin(p_0) + sin(x_0) + sin(c_0)
    CppAD::ADFun<double> f;
    f.from_json(json);
    ok &= f.Domain() == 1;
    ok &= f.Range() == 1;
    ok &= f.size_dyn_ind() == 1;
    //
    // value of constant in function
    vector<double> c(1);
    c[0] = -0.1;
    //
    // set independent variables and parameters
    vector<double> p(1), x(1);
    p[0] = 0.2;
    x[0] = 0.3;
    //
    // compute y = f(x, p)
    f.new_dynamic(p);
    vector<double> y = f.Forward(0, x);
    //
    // check result
    double check = std::sin(p[0]) + std::sin(x[0]) + std::sin(c[0]);
    ok &= CppAD::NearEqual(y[0], check, eps99, eps99);
    // -----------------------------------------------------------------------
    // Convert to Json graph and back again
    json = f.to_json();
    f.from_json(json);
    // -----------------------------------------------------------------------
    //
    // 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/json/unary_op.cpp