dense_relu_layer.h

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//   OpenNN: Open Neural Networks Library
//   www.opennn.net
//
//   D E N S E   R E L U   L A Y E R   C L A S S   H E A D E R
//
//   Artificial Intelligence Techniques SL
//   artelnics@artelnics.com
 
#pragma once
 
#include "layer.h"
#include "operators.h"
 
namespace opennn
{

class DenseRelu final : public Layer
{
public:

    DenseRelu(const Shape& = {},
              const Shape& = {},
              const string& = "dense_relu_layer");

    Shape get_output_shape() const override;
 
    Index get_input_features() const { return input_shape.empty() ? 0 : input_shape.back(); }
    Index get_sequence_length() const { return (input_shape.rank == 2) ? input_shape[0] : Index(1); }
 
    ActivationOp::Function get_output_activation() const override { return ActivationOp::Function::ReLU; }

    void set(const Shape& = {},
             const Shape& = {},
             const string& = "dense_relu_layer");

    void set_input_shape(const Shape&) override;
    void set_output_shape(const Shape&) override;
    void on_compute_dtype_changed() override { configure_operators(); }
 
private:
 
    Index output_features = 0;
 
    CombinationReluOp combination_relu;
 
    void configure_operators();
};
 
}
 
// 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.