Making loss_categorical_crossentropy

src/neural_network/loss/loss_categorical_crossentropy.cpp

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+/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ *
+ *                                              PANIC
+ *                              Portable Algorithms and Numerics In C++
+ *
+ *                       Scientific computing from scratch, with feeling.
+ *
+ * Copyright (c) 2026 Michelle Bausager
+ *
+ * This file is part of PANIC.
+ *
+ * PANIC is free software licensed under the GNU General Public License v3.0 or later.
+ * You may redistribute and/or modify it under the terms of the GPL.
+ *
+ * PANIC is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
+ * without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
+ * See the LICENSE file for the full license text.
+ *
+ * SPDX-License-Identifier: GPL-3.0-or-later
+ *
+ *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ *
+ * Project Name:      PANIC
+ * Module Name:       neural_network
+ * File Name:         loss_categorical_crossentropy.hpp
+ * Revision:          0.1.0
+ * Date:              30-07-2026
+ * Author:            Michelle Bausager
+ *
+ * Description:
+ * Defines the base loss_categorical_crossentropy used in neural network
+ *
+ *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
+//---------------------------------------------------------------------------------------------------------------------------
+// INCLUDE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+#include <neural_network/loss/loss_categorical_crossentropy.hpp>
+#include <config/omp.hpp>
+#include <config/types.hpp> // panic::uint_t, panic::int_t, and panic::real_t
+#include <tensor/matrix.hpp> // panic::tensor::real_matrix (uint_matrix, int_matrix)
+#include <tensor/vector.hpp>
+
+#include <math/mean.hpp>
+
+
+//---------------------------------------------------------------------------------------------------------------------------
+// PRIVATE CONSTANTS
+//---------------------------------------------------------------------------------------------------------------------------
+/**
+ * @brief Minimum number of element operations before using the OpenMP-enabled loop.
+ *
+ * Small vectors and matrices are kept serial because the overhead of starting
+ * worker threads can be larger than the work itself.
+ */
+static const panic::types::uint_t loss_categorical_crossentropy_omp_min_size = 500;
+//---------------------------------------------------------------------------------------------------------------------------
+
+
+namespace panic{
+	namespace neural_network{
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::neural_network::loss_categorical_crossentropy::forward
+//
+// Description:
+//      Default implementation. Derived classes can override it.
+//--------------------------------------------------------------------------------------------------------------------------
+bool loss_categorical_crossentropy::forward(
+    const panic::tensor::real_matrix& y_pred,
+    const panic::tensor::uint_vector& y_true){
+
+    return false;
+}
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::neural_network::loss_categorical_crossentropy::forward
+//
+// Description:
+//      Default matrix-target implementation. Derived classes can override it.
+//--------------------------------------------------------------------------------------------------------------------------
+bool loss_categorical_crossentropy::forward(
+    const panic::tensor::real_matrix& y_pred,
+    const panic::tensor::real_matrix& y_true){
+
+    return false;
+}
+
+
+	} // namespace tensor
+} // namespace panic
+
+
+