error_functions.h

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// SPDX-License-Identifier: AGPL-3.0-only
// Copyright (C) 2026 Artificial Intelligence Techniques, S.L. and Roberto López González
 
#pragma once
 
#include "opennn/core/tensor_types.h"
 
namespace opennn
{
 
void mean_squared_error(const TensorView&, const TensorView&, float&, float*);
void mean_squared_error_gradient(const TensorView&, const TensorView&, const TensorView&);
 
void mean_absolute_error(const TensorView&, const TensorView&, float&, float*);
void mean_absolute_error_gradient(const TensorView&, const TensorView&, const TensorView&);
 
void normalized_squared_error(const TensorView&, const TensorView&, float, float&, float*);
void normalized_squared_error_gradient(const TensorView&, const TensorView&, float, const TensorView&);
 
void weighted_squared_error(const TensorView&, const TensorView&, float, float, float&, float*);
void weighted_squared_error_gradient(const TensorView&, const TensorView&, float, float, float, const TensorView&);
 
void binary_cross_entropy(const TensorView&, const TensorView&, float&, float*);
void binary_cross_entropy_logits(const TensorView&, const TensorView&, float&, float*);
void binary_cross_entropy_logits_gradient(const TensorView&, const TensorView&, const TensorView&);
void categorical_cross_entropy(const TensorView&, const TensorView&, float&, float*);
void cross_entropy(const TensorView&, const TensorView&, float&, float*, bool);
void cross_entropy_gradient(const TensorView&, const TensorView&, const TensorView&, bool);
 
void minkowski_error(const TensorView&, const TensorView&, float, float&, float*);
void minkowski_error_gradient(const TensorView&, const TensorView&, float, const TensorView&, bool on_gpu = false);
 
void cross_entropy_3d(const TensorView&, const TensorView&, float&, Index&, Index&,
                      float* errors_device = nullptr,
                      float* reduction_device = nullptr);
void cross_entropy_3d_gradient(const TensorView&, const TensorView&, const TensorView&, Index);
void cross_entropy_3d_gradient_device_count(const TensorView&, const TensorView&, const TensorView&, const float*);
 
void l1_regularization(const TensorView&, float, float&);
void l1_regularization_gradient(const TensorView&, float, const TensorView&);
 
void l2_regularization(const TensorView&, float, float&);
void l2_regularization_gradient(const TensorView&, float, const TensorView&);
 
}