model_expression.h

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//   OpenNN: Open Neural Networks Library
//   www.opennn.net
//
//   M O D E L   E X P R E S S I O N   H E A D E R
//
//   Artificial Intelligence Techniques SL
//   artelnics@artelnics.com
 
#pragma once
 
#include "variable.h"
 
namespace opennn
{
 
class NeuralNetwork;
class Layer;
class Bounding;
class Unscaling;
class Recurrent;
class Scaling;
class Dense;
 
class ModelExpression
{
public:
 
    enum class ProgrammingLanguage{C, Python, JavaScript, PHP};
 
    ModelExpression(const NeuralNetwork*);
 
    string build_expression() const;
 
    void save(const filesystem::path&, ProgrammingLanguage) const;
 
private:
 
    const NeuralNetwork* neural_network = nullptr;
 
    string get_expression_c() const;
    string get_expression_python() const;
    string get_expression_php() const;
    string get_expression_javascript() const;
 
    static string get_layer_expression(const Layer&, const vector<string>&, const vector<string>&);
 
    void emit_c_prelude(ostringstream&) const;
    void emit_c_activations(ostringstream&, const string& expression) const;
    void emit_c_calculate_outputs(ostringstream&, const string& expression, const vector<string>& lines, bool has_softmax) const;
    void emit_c_main(ostringstream&) const;
 
    void emit_php_prelude(ostringstream&) const;
    void emit_php_activations(ostringstream&, const string& expression) const;
    void emit_php_inputs_setup(ostringstream&) const;
    void emit_php_body(ostringstream&, const vector<string>& lines, bool has_softmax) const;
    void emit_php_response(ostringstream&) const;
 
    void emit_python_prelude(ostringstream&) const;
    void emit_python_class_header(ostringstream&) const;
    void emit_python_activations(ostringstream&, const string& expression) const;
    void emit_python_calculate_outputs(ostringstream&, const vector<string>& lines, bool has_softmax) const;
    void emit_python_batch_and_main(ostringstream&) const;
 
    void emit_js_prelude(ostringstream&) const;
    void emit_js_inputs_html(ostringstream&) const;
    void emit_js_outputs_html(ostringstream&, bool use_category_select) const;
    void emit_js_runtime(ostringstream&, const string& expression, const vector<string>& lines, bool has_softmax, bool use_category_select) const;
 
    static vector<string> split_expression_lines(const string&);
    static void rename_spaced_var_definitions(vector<string>&);
    static vector<string> prepare_body_lines(const string& expression);
    static vector<string> fix_names(const vector<string>&, const string& default_prefix);
    static vector<string> fix_get_expression_outputs(const string&, const vector<string>&, const ProgrammingLanguage&);
    static void apply_name_mapping(string&, const vector<string>& original, const vector<string>& mapped);
    static string process_body_line(const string&, const vector<string>& input_names, const vector<string>& fixed_input_names);
    static string replace_reserved_keywords(const string&);
 
    struct ActivationBodies
    {
        const char* c;
        const char* javascript;
        const char* python;
        const char* php;
    };
 
    static const vector<pair<string, ActivationBodies>>& activation_table();
 
    static string write_bounding_expression(const Bounding&, const vector<string>& , const vector<string>&);
    static string write_scaling_expression(const Scaling&, const vector<string>&, const vector<string>&);
    static string write_unscaling_expression(const Unscaling&, const vector<string>&, const vector<string>&);
    static string write_recurrent_expression(const Recurrent&, const vector<string>&, const vector<string>&);
    static string write_dense_expression(const Dense&, const vector<string>&, const vector<string>&);
};
 
}
 
// OpenNN: Open Neural Networks Library.
// Copyright(C) 2005-2026 Artificial Intelligence Techniques, SL.
// Licensed under the GNU Lesser General Public License v2.1 or later.