Making loss_categorical_crossentropy

2026-07-30 22:23:06 +02:00
parent 70e80327ef
commit d7b74ab40f
11 changed files with 1749 additions and 13 deletions
@@ -702,6 +702,106 @@ panic::tensor::matrix<T> clip_higher_colwise(const panic::tensor::matrix<T>& A,



+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+/**
+ * @brief Clips values in the vector or scalar.
+ *
+ * Computes:
+ * @code
+
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param a Input vector.
+ * @param lower Scalar value compared to each element of @p a.
+ * @param higher Scalar value compared to each element of @p a.
+ * @param c Output vector. Resized to match @p a.
+ *
+ * @return true if @p c was resized and filled successfully.
+ * @return false if resizing @p c failed.
+ *
+ * @note This overload writes the result into an existing vector to avoid
+ *       unnecessary temporary allocations.
+ */
+template <typename T>
+bool clip(const panic::tensor::vector<T>& a, const T lower, const T higher, const panic::tensor::vector<T>& c);
+
+/**
+ * @brief Returns a cliped value in the vector.
+ *
+ * Computes:
+ * @code
+  * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param a Input vector.
+ * @param lower Scalar value compared to each element of @p a.
+ * @param higher Scalar value compared to each element of @p a.
+ *
+ * @return A new vector containing the result.
+ * @return An empty vector if the operation fails.
+ *
+ * @note This overload is convenient, but may allocate a new vector.
+ */
+template <typename T>
+panic::tensor::vector<T> clip(const panic::tensor::vector<T>& a, const T lower, const T higher);
+
+
+/**
+ * @brief Clips the elementwise in the matrix.
+ *
+ * Computes:
+ * @code
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ * @param lower Scalar value compared to each element of @p a.
+ * @param higher Scalar value compared to each element of @p a.
+ * @param C Output Matrix. Resized to match @p A.
+ *
+ * @return true if @p C was resized and filled successfully.
+ * @return false if resizing @p C failed.
+ *
+ * @note This overload writes the result into an existing matrix to avoid
+ *       unnecessary temporary allocations.
+ */
+template <typename T>
+bool clip(const panic::tensor::matrix<T>& A, const T lower, const T higher, panic::tensor::matrix<T>& C);
+
+/**
+ * @brief Returns a new matrix containing the cliped min elementwise in the matrix.
+ *
+ * Computes:
+ * @code
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ * @param lower Scalar value compared to each element of @p a.
+ * @param higher Scalar value compared to each element of @p a.
+ *
+ * @return A new matrix containing the result.
+ * @return An empty matrix if the operation fails.
+ *
+ * @note This overload is convenient, but may allocate a new matrix.
+ */
+template <typename T>
+panic::tensor::matrix<T> clip(const panic::tensor::matrix<T>& A, const T lower, const T higher);



@@ -0,0 +1,144 @@
+/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ *
+ *                                              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:       math
+ * File Name:         log.cpp
+ * Revision:          0.1.0
+ * Date:              29-07-2026
+ * Author:            Michelle Bausager
+ *
+ * Description:
+ * Functions to calculate the logorithem of numbers
+ *
+ *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
+#pragma once
+
+#include <tensor/vector.hpp> // for panic::vector
+#include <tensor/matrix.hpp> // for panic::matrix
+
+namespace panic{
+namespace math{
+
+
+
+/**
+ * @brief calculates the exponential of a value.
+ *
+ * Computes:
+ * @code
+ * result = exp(k)
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param k Value to take the exp of.
+ *
+ * @return The calculated value
+ *
+ * @note This function is omp-friendly.
+ */
+template <typename T>
+T exp(const T x);
+
+
+/**
+ * @brief Calculates the exponential elementwise in a vector
+ *
+ * Computes:
+ * @code
+ * c[i] = exp(a[i])
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param a Input vector.
+ * @param c Output vector. Resized to match @p a.
+ *
+ * @return true if @p c was resized and filled successfully.
+ * @return false if resizing @p c failed.
+ *
+ * @note This overload writes the result into an existing vector to avoid
+ *       unnecessary temporary allocations.
+ */
+template <typename T>
+bool exp(const panic::tensor::vector<T>& a, panic::tensor::vector<T>& c);
+
+/**
+ * @brief Calculates the exponential elementwise in a vector
+ *
+ * Computes:
+ * @code
+ * result[i] = exp(a[i])
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param a Input vector.
+ *
+ * @return A new vector containing the result.
+ * @return An empty vector if the operation fails.
+ *
+ * @note This overload is convenient, but may allocate a new vector.
+ */
+template <typename T>
+panic::tensor::vector<T> add(const panic::tensor::vector<T>& a);
+
+/**
+ * @brief Calculates the expnential elementwise of a matrix
+ *
+ * Computes:
+ * @code
+ * C(i,j) = exp(A(i,j))
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ * @param C Output Matrix. Resized to match @p A.
+ *
+ * @return true if @p C was resized and filled successfully.
+ * @return false if resizing @p C failed.
+ *
+ * @note This overload writes the result into an existing vector to avoid
+ *       unnecessary temporary allocations.
+ */
+template <typename T>
+bool exp(const panic::tensor::matrix<T>& A, panic::tensor::matrix<T>& C);
+
+/**
+ * @brief Returns the calculated ecponential elementwise of the matrix
+ *
+ * Computes:
+ * @code
+ * result(i,j) = exp(A(i,j))
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ *
+ * @return A new matrix containing the result.
+ * @return An empty matrix if the operation fails.
+ *
+ * @note This overload is convenient, but may allocate a new vector.
+ */
+template <typename T>
+panic::tensor::matrix<T> exp(const panic::tensor::matrix<T>& A);
+
+} // namespace math
+} // namespace panic
@@ -0,0 +1,159 @@
+/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ *
+ *                                              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:       math
+ * File Name:         mean.hpp
+ * Revision:          0.1.0
+ * Date:              30-07-2026
+ * Author:            Michelle Bausager
+ *
+ * Description:
+ * Functions to calculate mean of tensor arrays
+ *
+ *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
+#pragma once
+
+#include <tensor/vector.hpp> // for panic::vector
+#include <tensor/matrix.hpp> // for panic::matrix
+
+
+namespace panic{
+namespace math{
+
+
+
+
+/**
+ * @brief Returns the mean value of a vector
+ *
+ * Computes:
+ * @code
+ * result = mean(a)
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param a Input vector.
+ *
+ * @return A new vector containing the result.
+ * @return An empty vector if the operation fails.
+ *
+ * @note This overload is convenient, but may allocate a new vector.
+ */
+template <typename T>
+T mean(const panic::tensor::vector<T>& a);
+
+/**
+ * @brief Returns the mean value of a matrix.
+ *
+ * Computes:
+ * @code
+ * result = mean(A)
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ *
+ * @return A new matrix containing the result.
+ * @return An empty matrix if the operation fails.
+ *
+ */
+template <typename T>
+T mean(const panic::tensor::matrix<T>& A);
+
+/**
+ * @brief Find the mean values row-wise of a matrix.
+ *
+ * Computes:
+ * @code
+ * c(i) = mean(A(i,j))
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ * @param c Output vector. Resized to match @p A.rows().
+ *
+ * @return true if @p c was resized and filled successfully.
+ * @return false if vector sizes do not match or resizing @p c failed.
+ */
+template <typename T>
+bool mean_rowwise(const panic::tensor::matrix<T>& A, panic::tensor::vector<T>& c);
+
+/**
+ * @brief Returns a new matrix containing the mean row-wise elementwise.
+ *
+ * Computes:
+ * @code
+ * result[i] = mean(A(i,j))
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ *
+ * @return A new matrix containing the result.
+ * @return An empty matrix if the operation fails.
+ *
+ * @note This overload is convenient, but may allocate a new vector.
+ */
+template <typename T>
+panic::tensor::vector<T> mean_rowwise(const panic::tensor::matrix<T>& A);
+
+
+/**
+ * @brief Find the mean values column-wise of a matrix.
+ *
+ * Computes:
+ * @code
+ * C(j) = mean(A(i,j))
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ * @param C Output matrix. Resized to match @p A.cols().
+ *
+ * @return true if @p c was resized and filled successfully.
+ * @return false if vector sizes do not match or resizing @p c failed.
+ */
+template <typename T>
+bool mean_colwise(const panic::tensor::matrix<T>& A, panic::tensor::vector<T>& c);
+
+/**
+ * @brief Returns a new matrix containing the mean column-wise elementwise.
+ *
+ * Computes:
+ * @code
+ * result[j] = mean(A(i,j))
+ * @endcode
+ *
+ * @tparam T Numeric element type.
+ * @param A Input matrix.
+ *
+ * @return A new matrix containing the result.
+ * @return An empty matrix if the operation fails.
+ *
+ * @note This overload is convenient, but may allocate a new vector.
+ */
+template <typename T>
+panic::tensor::vector<T> mean_colwise(const panic::tensor::matrix<T>& A);
+
+} // namespace math
+} // namespace panic