Dense Layer, Add

added the dense layer with a forward functions. I also made the add functions for most cases.

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@@ -137,13 +182,16 @@ panic_EXTERNAL_OBJECTS =
 
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+.PHONY : src/neural_network/layer/layer_dense.s
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 .PHONY : src/tensor/matrix.o
 
@@ -241,6 +313,15 @@ help:
 	@echo "... src/io/print_tensor.o"
 	@echo "... src/io/print_tensor.i"
 	@echo "... src/io/print_tensor.s"
+	@echo "... src/math/add.o"
+	@echo "... src/math/add.i"
+	@echo "... src/math/add.s"
+	@echo "... src/math/matmul.o"
+	@echo "... src/math/matmul.i"
+	@echo "... src/math/matmul.s"
+	@echo "... src/neural_network/layer/layer_dense.o"
+	@echo "... src/neural_network/layer/layer_dense.i"
+	@echo "... src/neural_network/layer/layer_dense.s"
 	@echo "... src/tensor/matrix.o"
 	@echo "... src/tensor/matrix.i"
 	@echo "... src/tensor/matrix.s"

include/config/constants.hpp

@@ -52,40 +52,40 @@
 namespace panic {
 	namespace constants{
 	//---------------------------------------------------------------------------------------------------------------------------
-	// Type Name : panic::pi
+	// Type Name : panic::constants::pi
 	//
 	// Description:
 	//   Default difinition of pi (3.14159265358979323846) used inside PANIC.
 	//   static_cast makes sure the right number of decimals are used when defining the constant.
 	//
 	// Underlying Type:
-	//   panic::real_t
+	//   panic::types::real_t
 	//---------------------------------------------------------------------------------------------------------------------------
-	static const panic::real_t pi  	= static_cast<panic::real_t>(3.14159265358979323846);
+	static const panic::types::real_t pi  	= static_cast<panic::types::real_t>(3.14159265358979323846);
 	//---------------------------------------------------------------------------------------------------------------------------
 	//
-	// Type Name : panic::tau
+	// Type Name : panic::constants::tau
 	//
 	// Description:
 	//   Default difinition of tau (6.28318530717958647692) used inside PANIC.
 	//   static_cast makes sure the right number of decimals are used when defining the constant.
 	//
 	// Underlying Type:
-	//   panic::real_t
+	//   panic::types::real_t
 	//---------------------------------------------------------------------------------------------------------------------------
-	static const panic::real_t tau 	= static_cast<panic::real_t>(6.28318530717958647692);
+	static const panic::types::real_t tau 	= static_cast<panic::types::real_t>(6.28318530717958647692);
 	//---------------------------------------------------------------------------------------------------------------------------
 	//
-	// Type Name : panic::e
+	// Type Name : panic::constants::e
 	//
 	// Description:
 	//   Default difinition of eulers number, e (2.71828182845904523536) used inside PANIC.
 	//   static_cast makes sure the right number of decimals are used when defining the constant.
 	//
 	// Underlying Type:
-	//   panic::real_t
+	//   panic::types::real_t
 	//---------------------------------------------------------------------------------------------------------------------------
-	static const panic::real_t e   	= static_cast<panic::real_t>(2.71828182845904523536);
+	static const panic::types::real_t e   	= static_cast<panic::types::real_t>(2.71828182845904523536);
 
 	} // namespace constants
 } // namespace panic

include/config/types.hpp

@@ -45,7 +45,7 @@
 //---------------------------------------------------------------------------------------------------------------------------
 // TYPE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
-// Type Name : panic::uint_t
+// Type Name : panic::types::uint_t
 //
 // Description:
 //   Default unsigned integer type used inside PANIC.
@@ -54,7 +54,7 @@
 //   uint32_t
 //---------------------------------------------------------------------------------------------------------------------------
 //
-// Type Name : panic::int_t
+// Type Name : panic::types::int_t
 //
 // Description:
 //   Default signed integer type used inside PANIC.
@@ -63,7 +63,7 @@
 //   int32_t
 //---------------------------------------------------------------------------------------------------------------------------
 //
-// Type Name : panic::real_t
+// Type Name : panic::types::real_t
 //
 // Description:
 //   Default floating-point type used inside PANIC.
@@ -73,11 +73,12 @@
 //---------------------------------------------------------------------------------------------------------------------------
 
 namespace panic {
+		namespace types{
 
 	typedef uint32_t uint_t;
 	typedef int32_t  int_t;
 	typedef float    real_t;
-	
+	} // namespace types
 } // namespace panic
 
 

include/math/add.hpp

@@ -0,0 +1,364 @@
+/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ *
+ *                                              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:         add.hpp
+ * Revision:          0.1.0
+ * Date:              25-06-2026
+ * Author:            Michelle Bausager
+ *
+ * Description:
+ * Functions to add panic::tensor togther;
+ *
+ *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
+#pragma one
+//---------------------------------------------------------------------------------------------------------------------------
+// INCLUDE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+#include <tensor/vector.hpp> // for panic::real_vector (uint_vector, int_vector)
+#include <tensor/matrix.hpp> // for panic::real_matrix (uint_matrix, int_matrix)
+//---------------------------------------------------------------------------------------------------------------------------
+// DEFINE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+
+//---------------------------------------------------------------------------------------------------------------------------
+// VARIABLE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+
+//---------------------------------------------------------------------------------------------------------------------------
+// FUNCTION PROTOTYPE
+//---------------------------------------------------------------------------------------------------------------------------
+namespace panic{
+namespace math{
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//   	Adds a scaler to a panic::tensor::vector
+//		c(2) = a(2) + k
+//
+// 	Inputs:
+//
+//   a           	const panic::tensor::vector<T>&
+//
+//	 k				const <T>
+//
+// Outputs:
+//   c 				panic::tensor::vector<T>&
+//
+// Returns:
+//   bool
+//
+// Notes:
+//  	The c vector is resized if nessessary.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add(const panic::tensor::vector<T>& a, const T k, panic::tensor::vector<T>& c);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//   	Adds a scaler to a panic::tensor::vector
+//		c(2) = a(2) + k
+//
+// 	Inputs:
+//
+//   a           	const panic::tensor::vector<T>&
+//
+//	 k				const <T>
+//
+// Outputs:
+//   None.			
+//
+// Returns:
+//   c 				panic::tensor::vector<T>
+//
+// Notes:
+//  	Makes new vector and returns the result.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::vector<T> add(const panic::tensor::vector<T>& a, const T k);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//   	Adds two panic::tensor::vector
+//		c(2) = a(2) + b(2)
+//
+// 	Inputs:
+//
+//   a           	const panic::tensor::vector<T>&
+//
+//	 b				const panic::tensor::vector<T>&
+//
+// Outputs:
+//   c 				panic::tensor::vector<T>&
+//
+// Returns:
+//   bool
+//
+// Notes:
+//		If input vector dimentions are not correct, output is a empty vector and returns false.
+//  	The c vector is resized if nessessary.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add(const panic::tensor::vector<T>& a, const panic::tensor::vector<T>& b, panic::tensor::vector<T>& c);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//   	Adds two panic::tensor::vector
+//		c(2) = a(2) + b(2)
+//
+// 	Inputs:
+//
+//   a           	const panic::tensor::vector<T>&
+//
+//	 b				const panic::tensor::vector<T>&
+//
+// Outputs:
+//   None. 				
+//
+// Returns:
+//   c			panic::tensor::vector<T>
+//
+// Notes:
+//		If input vector dimentions are not correct, return is an empty vector.
+//  	Makes new vector and returns the result.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::vector<T> add(const panic::tensor::vector<T>& a, const panic::tensor::vector<T>& b);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//   	Adds a scaler to a panic::tensor::matrix
+//		C(2,2) = A(2,2) + k
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::matrix<T>&
+//
+//	 k				const T
+//
+// Outputs:
+//   C 				panic::tensor::matrix<T>&		
+//
+// Returns:
+//   bool 				
+//
+// Notes:
+//  	The C matrix is resized if nessessary.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add(const panic::tensor::matrix<T>& A, const T k, panic::tensor::matrix<T>& C);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//   	Adds a scaler to a panic::tensor::matrix
+//		C(2,2) = A(2,2) + k
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::matrix<T>&
+//
+//	 k				const T
+//
+// Outputs:
+//   None. 				
+//
+// Returns:
+//   C 				panic::tensor::matrix<T>
+//
+// Notes:
+//   	Creates new matrix, C, for the result.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> add(const panic::tensor::matrix<T>& A, const T k);
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//   	Adds two panic::tensor::matrix
+//		C(2,2) = A(2,2) + B(2,2)
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::matrix<T>&
+//
+//	 B				const panic::tensor::matrix<T>&
+//
+// Outputs:
+//   C 				panic::tensor::matrix<T>&
+//
+// Returns:
+//   bool 				
+//
+// Notes:
+//		If input matrix dimentions are not correct, outputs an a empty matrix and returns false.
+//   	The C matrix is resized if nessessary.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B, panic::tensor::matrix<T>& C);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//   	Adds two panic::tensor::matrix
+//		C(2,2) = A(2,2) + B(2,2)
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::matrix<T>&
+//
+//	 B				const panic::tensor::matrix<T>&
+//
+// Outputs:
+//   None. 				
+//
+// Returns:
+//   C 				panic::tensor::matrix<T>
+//
+// Notes:
+//		If input matrix dimentions are not correct, returns an a empty matrix.
+//   	Creates new matrix, C, for the result.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> add(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add_rowwise
+//
+// Description:
+//   	Adds two panic::tensor::matrix
+//		C(2,3) = A(2,3) + b(2)
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::matrix<T>&
+//
+//	 b				const panic::tensor::vector<T>&
+//
+// Outputs:
+//   C 				panic::tensor::matrix& 				
+//
+// Returns:
+//   bool 				
+//
+// Notes:
+//		If input vector dimentions are not correct, outputs an a empty matrix and returns false.
+//   	The C matrix is resized if nessessary.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add_rowwise(const panic::tensor::matrix<T>& A, const panic::tensor::vector<T>& b, panic::tensor::matrix<T>& C);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add_rowwise
+//
+// Description:
+//   	Adds two panic::tensor::matrix
+//		C(2,3) = A(2,3) + b(2)
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::matrix<T>&
+//
+//	 b				const panic::tensor::vector<T>&
+//
+// Outputs:
+//   None. 				
+//
+// Returns:
+//   C 				panic::tensor::matrix<T>&
+//
+// Notes:
+//		If input vector dimentions are not correct, returns an a empty matrix.
+//   	Creates new matrix, C, for the result.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> add_rowwise(const panic::tensor::matrix<T>& A, const panic::tensor::vector<T>& b);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add_colwise
+//
+// Description:
+//   	Adds two panic::tensor::matrix
+//		C(2,3) = A(2,3) + b(3)
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::matrix<T>&
+//
+//	 b				const panic::tensor::vector<T>&
+//
+// Outputs:
+//   C 				panic::tensor::matrix& 				
+//
+// Returns:
+//   bool 				
+//
+// Notes:
+//		If input vector dimentions are not correct, outputs an a empty matrix and returns false.
+//   	The C matrix is resized if nessessary.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add_colwise(const panic::tensor::matrix<T>& A, const panic::tensor::vector<T>& b, panic::tensor::matrix<T>& C);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add_colwise
+//
+// Description:
+//   	Adds two panic::tensor::matrix
+//		C(2,3) = A(2,3) + b(3)
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::matrix<T>&
+//
+//	 b				const panic::tensor::vector<T>&
+//
+// Outputs:
+//   None. 				
+//
+// Returns:
+//   C 				panic::tensor::matrix<T>&
+//
+// Notes:
+//		If input vector dimentions are not correct, returns an a empty matrix.
+//   	Creates new matrix, C, for the result.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> add_colwise(const panic::tensor::matrix<T>& A, const panic::tensor::vector<T>& b);
+
+} // namespace math
+} // namespace panic

include/math/matmul.hpp

@@ -0,0 +1,107 @@
+/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ *
+ *                                              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:         matmul.hpp
+ * Revision:          0.1.0
+ * Date:              24-06-2026
+ * Author:            Michelle Bausager
+ *
+ * Description:
+ * Functions to print out tensors with std::cout << x std::endl;
+ *
+ *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
+#pragma one
+//---------------------------------------------------------------------------------------------------------------------------
+// INCLUDE DESCRIPTION
+//-----------------------------------------------------------------------------------------------------
+#include <tensor/matrix.hpp> // for panic::real_matrix
+//---------------------------------------------------------------------------------------------------------------------------
+// DEFINE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+
+//---------------------------------------------------------------------------------------------------------------------------
+// VARIABLE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+
+//---------------------------------------------------------------------------------------------------------------------------
+// FUNCTION PROTOTYPE
+//---------------------------------------------------------------------------------------------------------------------------
+namespace panic{
+namespace math{
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::matmul
+//
+// Description:
+//   	Multiplies to panic::tensor::real_matrix
+//		C(2,4) = A(2,3) * B(3,4)
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::real_matrix&
+//
+//	 B				const panic::tensor::real_matrix&
+//
+// Outputs:
+//   C 				panic::tensor::real_matrix&
+//
+// Returns:
+//   bool
+//
+// Notes:
+//		If input matrix dimentions are not correct, output is a empty matrix and returns false.
+//  	The C matrix is resized if nessessary.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool matmul(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B, panic::tensor::matrix<T>& C);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::matmul
+//
+// Description:
+//   	Multiplies to panic::tensor::real_matrix
+//		C(2,4) = A(2,3) * B(3,4)
+//
+// 	Inputs:
+//
+//   A           	const panic::tensor::real_matrix&
+//
+//	 B				const panic::tensor::real_matrix&
+//
+// Outputs:
+//   None. 				
+//
+// Returns:
+//   C 				panic::tensor::real_matrix&
+//
+// Notes:
+//		If input matrix dimentions are not correct, returns an a empty matrix.
+//   	Creates new matrix, C, for the result.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> matmul(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B);
+
+
+} // namespace math
+} // namespace panic

include/neural_network/layer/layer.hpp

@@ -22,13 +22,13 @@
  *
  * Project Name:      PANIC
  * Module Name:       neural_network
- * File Name:         layer_dense.hpp
+ * File Name:         layer.hpp
  * Revision:          0.1.0
  * Date:              23-06-2026
  * Author:            Michelle Bausager
  *
  * Description:
- * Defines the dense layers used in neural network
+ * Defines the base layers struct used in pther layers in neural network
  *
  *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
 #pragma once
@@ -36,6 +36,7 @@
 // INCLUDE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
 #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)
 
 //---------------------------------------------------------------------------------------------------------------------------
 // DEFINE DESCRIPTION
@@ -46,94 +47,34 @@
 //---------------------------------------------------------------------------------------------------------------------------
 
 //---------------------------------------------------------------------------------------------------------------------------
-// Type Name : panic::neural_network::layer_dense
+// Type Name : panic::neural_network::layer
 //
 // Description:
-//   A dense layer to use in neural networks
+//   A base layer to use in neural networks
 //
 // Member Variables:
-//   length       panic::uint_t
+//   None.	      
-//                Number of elements in the vector.
-//
-//   data         panic::real_t*
-//                Pointer to the allocated vector data.
 //
 // Notes:
-//   This vector uses dynamic allocation with new[] and delete[].
+//   	This base layer should be used in all layers/activations that have a forward and backward function
-//   Copying performs a deep copy.
+//		This is done so it's easy to make a list of layers in the model to loop over.
+//		The virtual means it should use derived object's version when called with a pointer.
+//		The =0 means the derviced object NEEDS to have these functions to work.
+//
 //---------------------------------------------------------------------------------------------------------------------------
 namespace panic{
-	namespace tensor{
+	namespace neural_network{
 
-template <typename T>
+struct layer{
-struct vector{
-	panic::uint_t length;
-	T* data;
 
-	// empty contructor
+	virtual ~layer() = default;
-	vector();
 
-	// contructor with size allocation
+	virtual bool forward(const panic::tensor::real_matrix& inputs) = 0;
-	vector(panic::uint_t size);
+	virtual bool backward(const panic::tensor::real_matrix& dinputs) = 0;
-
-	// contructor with size allocation and sets it all to a value
-	vector(panic::uint_t size, T value);
-
-	// copy-contructor
-	// vector a(3);
-	// vector b = a;
-	vector(const vector& other);
-
-	// de-contructor, releases memory
-	~vector();
-
-	// copy-assignment
-	//vector a(5);
-	//vector b(3);
-	//b = a;
-	vector& operator=(const vector& other);
-
-	// function returns size. 
-	// const tells compiler that the fuction don't edit the objert.
-	panic::uint_t size() const;
-	
-	// function to resize data vector (I need a new that don't save the vlaues)
-	bool resize(panic::uint_t new_size);
-
-	// fill data with value
-	bool fill(T value);
-
-	// lets you read and write v[index]
-	T& operator[](panic::uint_t index);
-
-	// lets you read v[index] from a const vector
-	const T& operator[](panic::uint_t index) const;
-
-	// lets you read and write v.at(index)
-	T& at(panic::uint_t index);
-
-	// lets you read v.at(index) from a const vector
-	const T& at(panic::uint_t index) const;
 
 };
 
 
-//---------------------------------------------------------------------------------------------------------------------------
-// TYPE ALIASES
-//---------------------------------------------------------------------------------------------------------------------------
-
-typedef vector<panic::real_t> real_vector;
-typedef vector<panic::int_t>  int_vector;
-typedef vector<panic::uint_t> uint_vector;
-
-//---------------------------------------------------------------------------------------------------------------------------
-// EXPLICIT TEMPLATE DECLARATION
-//---------------------------------------------------------------------------------------------------------------------------
-
-extern template struct vector<panic::real_t>;
-extern template struct vector<panic::int_t>;
-extern template struct vector<panic::uint_t>;
-
 
 	} // namespace tensor
 } // namespace panic

include/neural_network/layer/layer_dense.hpp

@@ -32,10 +32,14 @@
  *
  *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
 #pragma once
+
 //---------------------------------------------------------------------------------------------------------------------------
 // INCLUDE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
 #include <config/types.hpp> // panic::uint_t, panic::int_t, and panic::real_t
+#include <neural_network/layer/layer.hpp> // for base layer struct
+#include <tensor/vector.hpp>
+#include <tensor/matrix.hpp>
 
 //---------------------------------------------------------------------------------------------------------------------------
 // DEFINE DESCRIPTION
@@ -45,96 +49,54 @@
 // TYPE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
 
-//---------------------------------------------------------------------------------------------------------------------------
+//--------------------------------------------------------------------------------------------------------------------------
-// Type Name : panic::neural_network::layer_dense
+// Function Name : panic::neural_network::layer_dense
 //
 // Description:
-//   A dense layer to use in neural networks
+//   Dense/fully-connected neural network layer.
 //
-// Member Variables:
+// Inputs:
-//   length       panic::uint_t
+//   Samples x input size 				const panic::tensor::real_matrix&
-//                Number of elements in the vector.
 //
-//   data         panic::real_t*
+//   Weight shape:
-//                Pointer to the allocated vector data.
+//     input_size x neuron_count
+//
+//   Bias shape:
+//     1 x neuron_count
+//
+//   Output shape:
+//     samples x neuron_count			panic::tensor::real_matrix
 //
 // Notes:
-//   This vector uses dynamic allocation with new[] and delete[].
+//   forward(input) calculates:
-//   Copying performs a deep copy.
+//
-//---------------------------------------------------------------------------------------------------------------------------
+//     outputs = inputs * weights + biases
+//--------------------------------------------------------------------------------------------------------------------------
 namespace panic{
-	namespace tensor{
+	namespace neural_network{
 
-template <typename T>
+struct layer_dense : public layer{
-struct vector{
-	panic::uint_t length;
-	T* data;
 
-	// empty contructor
+	panic::tensor::real_matrix weights;
-	vector();
+	panic::tensor::real_vector biases;
+	panic::tensor::real_matrix outputs;
 
-	// contructor with size allocation
+	// Empthy contructor
-	vector(panic::uint_t size);
+	layer_dense();
 
-	// contructor with size allocation and sets it all to a value
+	// Contructor with layer size
-	vector(panic::uint_t size, T value);
+	layer_dense(panic::types::uint_t input_size, panic::types::uint_t neurons);
 
-	// copy-contructor
+	// Decontructor  (All internal variables has decontructors, so we can just use default)
-	// vector a(3);
+	~layer_dense() = default;
-	// vector b = a;
-	vector(const vector& other);
 
-	// de-contructor, releases memory
+	// Forward function for forward pass
-	~vector();
+	bool forward(const panic::tensor::real_matrix& inputs);
-
-	// copy-assignment
-	//vector a(5);
-	//vector b(3);
-	//b = a;
-	vector& operator=(const vector& other);
-
-	// function returns size. 
-	// const tells compiler that the fuction don't edit the objert.
-	panic::uint_t size() const;
-	
-	// function to resize data vector (I need a new that don't save the vlaues)
-	bool resize(panic::uint_t new_size);
-
-	// fill data with value
-	bool fill(T value);
-
-	// lets you read and write v[index]
-	T& operator[](panic::uint_t index);
-
-	// lets you read v[index] from a const vector
-	const T& operator[](panic::uint_t index) const;
-
-	// lets you read and write v.at(index)
-	T& at(panic::uint_t index);
-
-	// lets you read v.at(index) from a const vector
-	const T& at(panic::uint_t index) const;
 
+	// Backward pass
+	bool backward(const panic::tensor::real_matrix& dinpus);
 };
 
-
-//---------------------------------------------------------------------------------------------------------------------------
-// TYPE ALIASES
-//---------------------------------------------------------------------------------------------------------------------------
-
-typedef vector<panic::real_t> real_vector;
-typedef vector<panic::int_t>  int_vector;
-typedef vector<panic::uint_t> uint_vector;
-
-//---------------------------------------------------------------------------------------------------------------------------
-// EXPLICIT TEMPLATE DECLARATION
-//---------------------------------------------------------------------------------------------------------------------------
-
-extern template struct vector<panic::real_t>;
-extern template struct vector<panic::int_t>;
-extern template struct vector<panic::uint_t>;
-
-
 	} // namespace tensor
 } // namespace panic
 

include/tensor/matrix.hpp

@@ -70,19 +70,19 @@ namespace panic{
 
 template <typename T>
 struct matrix{
-	panic::uint_t n;
+	panic::types::uint_t n;
-	panic::uint_t m;
+	panic::types::uint_t m;
-	panic::uint_t length;
+	panic::types::uint_t length;
 	T* data;
 
 	// empty contructor
 	matrix();
 
 	// contructor with size allocation
-	matrix(panic::uint_t rows, panic::uint_t cols);
+	matrix(panic::types::uint_t rows, panic::types::uint_t cols);
 
 	// contructor with size allocation and sets it all to a value
-	matrix(panic::uint_t rows, panic::uint_t cols, T value);
+	matrix(panic::types::uint_t rows, panic::types::uint_t cols, T value);
 
 	// copy-contructor
 	// matrix A(3,3);
@@ -100,14 +100,14 @@ struct matrix{
 
 	// function returns rows. 
 	// const tells compiler that the fuction don't edit the objert.
-	panic::uint_t rows() const;
+	panic::types::uint_t rows() const;
 
 	// function returns columns. 
 	// const tells compiler that the fuction don't edit the objert.
-	panic::uint_t cols() const;
+	panic::types::uint_t cols() const;
 	
 	// function to resize data vector
-	bool resize(panic::uint_t new_n, panic::uint_t new_m);
+	bool resize(panic::types::uint_t new_n, panic::types::uint_t new_m);
 
 	// fill data with value
 	bool fill(T value);
@@ -116,10 +116,10 @@ struct matrix{
     // Example:
     //   A(1, 2)
     // This is unchecked and fast.
-    T& operator()(panic::uint_t index_n, panic::uint_t index_m);
+    T& operator()(panic::types::uint_t index_n, panic::types::uint_t index_m);
 
     // lets you read matrix data using row and column from a const matrix
-    const T& operator()(panic::uint_t index_n, panic::uint_t index_m) const;
+    const T& operator()(panic::types::uint_t index_n, panic::types::uint_t index_m) const;
 
 };
 
@@ -128,17 +128,17 @@ struct matrix{
 // TYPE ALIASES
 //---------------------------------------------------------------------------------------------------------------------------
 
-typedef matrix<panic::real_t> real_matrix;
+typedef matrix<panic::types::real_t> real_matrix;
-typedef matrix<panic::int_t>  int_matrix;
+typedef matrix<panic::types::int_t>  int_matrix;
-typedef matrix<panic::uint_t> uint_matrix;
+typedef matrix<panic::types::uint_t> uint_matrix;
 
 //---------------------------------------------------------------------------------------------------------------------------
 // EXPLICIT TEMPLATE DECLARATION
 //---------------------------------------------------------------------------------------------------------------------------
 
-extern template struct matrix<panic::real_t>;
+extern template struct matrix<panic::types::real_t>;
-extern template struct matrix<panic::int_t>;
+extern template struct matrix<panic::types::int_t>;
-extern template struct matrix<panic::uint_t>;
+extern template struct matrix<panic::types::uint_t>;
 
 
 	} // namespace tensor

include/tensor/vector.hpp

@@ -68,17 +68,17 @@ namespace panic{
 
 template <typename T>
 struct vector{
-	panic::uint_t length;
+	panic::types::uint_t length;
 	T* data;
 
 	// empty contructor
 	vector();
 
 	// contructor with size allocation
-	vector(panic::uint_t size);
+	vector(panic::types::uint_t size);
 
 	// contructor with size allocation and sets it all to a value
-	vector(panic::uint_t size, T value);
+	vector(panic::types::uint_t size, T value);
 
 	// copy-contructor
 	// vector a(3);
@@ -96,25 +96,25 @@ struct vector{
 
 	// function returns size. 
 	// const tells compiler that the fuction don't edit the objert.
-	panic::uint_t size() const;
+	panic::types::uint_t size() const;
 	
 	// function to resize data vector (I need a new that don't save the vlaues)
-	bool resize(panic::uint_t new_size);
+	bool resize(panic::types::uint_t new_size);
 
 	// fill data with value
 	bool fill(T value);
 
 	// lets you read and write v[index]
-	T& operator[](panic::uint_t index);
+	T& operator[](panic::types::uint_t index);
 
 	// lets you read v[index] from a const vector
-	const T& operator[](panic::uint_t index) const;
+	const T& operator[](panic::types::uint_t index) const;
 
 	// lets you read and write v.at(index)
-	T& at(panic::uint_t index);
+	T& at(panic::types::uint_t index);
 
 	// lets you read v.at(index) from a const vector
-	const T& at(panic::uint_t index) const;
+	const T& at(panic::types::uint_t index) const;
 
 };
 
@@ -123,17 +123,17 @@ struct vector{
 // TYPE ALIASES
 //---------------------------------------------------------------------------------------------------------------------------
 
-typedef vector<panic::real_t> real_vector;
+typedef vector<panic::types::real_t> real_vector;
-typedef vector<panic::int_t>  int_vector;
+typedef vector<panic::types::int_t>  int_vector;
-typedef vector<panic::uint_t> uint_vector;
+typedef vector<panic::types::uint_t> uint_vector;
 
 //---------------------------------------------------------------------------------------------------------------------------
 // EXPLICIT TEMPLATE DECLARATION
 //---------------------------------------------------------------------------------------------------------------------------
 
-extern template struct vector<panic::real_t>;
+extern template struct vector<panic::types::real_t>;
-extern template struct vector<panic::int_t>;
+extern template struct vector<panic::types::int_t>;
-extern template struct vector<panic::uint_t>;
+extern template struct vector<panic::types::uint_t>;
 
 
 	} // namespace tensor

main.cpp

@@ -40,6 +40,9 @@
 #include <tensor/vector.hpp>
 #include <tensor/matrix.hpp>
 #include <io/print_tensor.hpp>
+#include <math/matmul.hpp>
+#include <neural_network/layer/layer_dense.hpp>
+#include <math/add.hpp>
 
 //---------------------------------------------------------------------------------------------------------------------------
 // DEFINE DESCRIPTION
@@ -52,11 +55,11 @@
 // VARIABLE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
 // Variable difinition like:
-panic::real_t x = 2.4;
+panic::types::real_t x = 2.4;
 
 panic::tensor::real_vector a(3);
 panic::tensor::uint_vector b(3);
-panic::tensor::int_vector c(10);
+panic::tensor::int_vector c(3);
 
 panic::tensor::real_matrix A(2,2, 1);
 panic::tensor::uint_matrix B(2,2, 2);
@@ -90,6 +93,19 @@ int main(void) {
 	panic::io::print_matrix(B);
 	panic::io::print_matrix(C);
 
+	panic::tensor::real_matrix A1(100, 100, 0.999/100);
+	panic::tensor::real_matrix A2(100, 100, 100);
+	
+
+	for (panic::types::uint_t i = 0; i < 5; ++i)
+	{
+		std::cout << A2(0,0) << std::endl;
+		A2 = panic::math::matmul(A1, A2);
+	}
+
+	panic::tensor::real_matrix B1(25, 100, 100);
+	panic::neural_network::layer_dense dense(100,10);
+	std::cout << dense.forward(B1) << std::endl;
 
 
 

src/io/print_tensor.cpp

@@ -22,7 +22,7 @@
  *
  * Project Name:      PANIC
  * Module Name:       io
- * File Name:         print_tensor.hpp
+ * File Name:         print_tensor.cpp
  * Revision:          0.1.0
  * Date:              21-06-2026
  * Author:            Michelle Bausager
@@ -36,6 +36,7 @@
 // INCLUDE DESCRIPTION
 //-----------------------------------------------------------------------------------------------------
 #include <iostream> // for std::cout, std::endl
+//#include <io/print_tensor.hpp>
 #include <tensor/vector.hpp> // for panic::tensor::vector
 #include <tensor/matrix.hpp>
 
@@ -64,7 +65,7 @@ namespace panic {
 //--------------------------------------------------------------------------------------------------------------------------
 void print_vector(const panic::tensor::uint_vector& v){
 	std::cout << "[";
-	for (panic::uint_t i = 0; i < v.size()-1; ++i){
+	for (panic::types::uint_t i = 0; i < v.size()-1; ++i){
 		std::cout << v[i] << ", ";
 	}
 	std::cout << v[v.size()-1]<< "]" << std::endl;
@@ -72,7 +73,7 @@ void print_vector(const panic::tensor::uint_vector& v){
 }
 void print_vector(const panic::tensor::int_vector& v){
 	std::cout << "[";
-	for (panic::uint_t i = 0; i < v.size()-1; ++i){
+	for (panic::types::uint_t i = 0; i < v.size()-1; ++i){
 		std::cout << v[i] << ", ";
 	}
 	std::cout << v[v.size()-1]<< "]" << std::endl;
@@ -80,7 +81,7 @@ void print_vector(const panic::tensor::int_vector& v){
 }
 void print_vector(const panic::tensor::real_vector& v){
 	std::cout << "[";
-	for (panic::uint_t i = 0; i < v.size()-1; ++i){
+	for (panic::types::uint_t i = 0; i < v.size()-1; ++i){
 		std::cout << v[i] << ", ";
 	}
 	std::cout << v[v.size()-1]<< "]" << std::endl;
@@ -98,9 +99,9 @@ void print_vector(const panic::tensor::real_vector& v){
 //--------------------------------------------------------------------------------------------------------------------------
 void print_matrix(const panic::tensor::uint_matrix& A){
 	std::cout << "[";
-	for (panic::uint_t i = 0; i < A.rows(); ++i){
+	for (panic::types::uint_t i = 0; i < A.rows(); ++i){
 		std::cout << "[";
-		for (panic::uint_t j = 0; j < A.cols(); ++j){
+		for (panic::types::uint_t j = 0; j < A.cols(); ++j){
 			std::cout << A(i,j) << ", ";
 		}
 		if (i < A.rows()-1){
@@ -113,9 +114,9 @@ void print_matrix(const panic::tensor::uint_matrix& A){
 
 void print_matrix(const panic::tensor::int_matrix& A){
 	std::cout << "[";
-	for (panic::uint_t i = 0; i < A.rows(); ++i){
+	for (panic::types::uint_t i = 0; i < A.rows(); ++i){
 		std::cout << "[";
-		for (panic::uint_t j = 0; j < A.cols(); ++j){
+		for (panic::types::uint_t j = 0; j < A.cols(); ++j){
 			std::cout << A(i,j) << ", ";
 		}
 		if (i < A.rows()-1){
@@ -128,9 +129,9 @@ void print_matrix(const panic::tensor::int_matrix& A){
 
 void print_matrix(const panic::tensor::real_matrix& A){
 	std::cout << "[";
-	for (panic::uint_t i = 0; i < A.rows(); ++i){
+	for (panic::types::uint_t i = 0; i < A.rows(); ++i){
 		std::cout << "[";
-		for (panic::uint_t j = 0; j < A.cols(); ++j){
+		for (panic::types::uint_t j = 0; j < A.cols(); ++j){
 			std::cout << A(i,j) << ", ";
 		}
 		if (i < A.rows()-1){

src/math/add.cpp

@@ -0,0 +1,563 @@
+/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ *
+ *                                              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:         add.cpp
+ * Revision:          0.1.0
+ * Date:              25-06-2026
+ * Author:            Michelle Bausager
+ *
+ * Description:
+ * Functions to add panic::tensors togther;
+ *
+ *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
+
+//---------------------------------------------------------------------------------------------------------------------------
+// INCLUDE DESCRIPTION
+//-----------------------------------------------------------------------------------------------------
+
+#include <math/add.hpp>
+#include <config/omp.hpp>
+//#include <tensor/matrix.hpp> // for panic::tensor::real_matrix
+
+//---------------------------------------------------------------------------------------------------------------------------
+// DEFINE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+
+//---------------------------------------------------------------------------------------------------------------------------
+// VARIABLE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+static const panic::types::uint_t add_omp_min_work = 10000;
+
+//---------------------------------------------------------------------------------------------------------------------------
+// FUNCTION PROTOTYPE
+//---------------------------------------------------------------------------------------------------------------------------
+
+namespace panic {
+	namespace math {
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//		Adds a constant to a vector
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add(const panic::tensor::vector<T>& a, const T k, panic::tensor::vector<T>& c){
+
+	if (!c.resize(a.size())){
+		return false;
+	}
+
+	PANIC_OMP_PARALLEL_FOR_IF(a.size() > add_omp_min_work)
+	for (panic::types::uint_t i = 0; i < a.size(); ++i){
+		c[i] = a[i] + k;
+	}
+
+	return true;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template bool add<panic::types::uint_t>(const panic::tensor::vector<panic::types::uint_t>& a, 
+										const panic::types::uint_t k, 
+										panic::tensor::vector<panic::types::uint_t>& c
+);
+template bool add<panic::types::int_t>(const panic::tensor::vector<panic::types::int_t>& a, 
+										const panic::types::int_t k, 
+										panic::tensor::vector<panic::types::int_t>& c
+);
+template bool add<panic::types::real_t>(const panic::tensor::vector<panic::types::real_t>& a, 
+										const panic::types::real_t k, 
+										panic::tensor::vector<panic::types::real_t>& c
+);
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//		Adds a constant to a vector
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::vector<T> add(const panic::tensor::vector<T>& a, const T k){
+	panic::tensor::vector<T> c(a.size());
+
+	if (!add(a, k, c)){
+		return panic::tensor::vector<T>();
+	}
+
+	return c;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template panic::tensor::vector<panic::types::uint_t> 
+				add(const panic::tensor::vector<panic::types::uint_t>& a, 
+					const panic::types::uint_t k
+);
+template panic::tensor::vector<panic::types::int_t> 
+				add(const panic::tensor::vector<panic::types::int_t>& a, 
+					const panic::types::int_t k
+);
+template panic::tensor::vector<panic::types::real_t> 
+				add(const panic::tensor::vector<panic::types::real_t>& a, 
+					const panic::types::real_t k
+);
+
+
+
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//		Adds a vector to a vector
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add(const panic::tensor::vector<T>& a, const panic::tensor::vector<T>& b, panic::tensor::vector<T>& c){
+
+	if (a.size() != b.size()){
+		return false;
+	}
+
+	if (!c.resize(a.size())){
+		return false;
+	}
+
+	PANIC_OMP_PARALLEL_FOR_IF(a.size() > add_omp_min_work)
+	for (panic::types::uint_t i = 0; i < a.size(); ++i){
+		c[i] = a[i] + b[i];
+	}
+
+	return true;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template bool add(const panic::tensor::vector<panic::types::uint_t>& a, 
+				const panic::tensor::vector<panic::types::uint_t>& b, 
+				panic::tensor::vector<panic::types::uint_t>& c
+);
+template bool add(const panic::tensor::vector<panic::types::int_t>& a, 
+				const panic::tensor::vector<panic::types::int_t>& b, 
+				panic::tensor::vector<panic::types::int_t>& c
+);
+template bool add(const panic::tensor::vector<panic::types::real_t>& a, 
+				const panic::tensor::vector<panic::types::real_t>& b, 
+				panic::tensor::vector<panic::types::real_t>& c
+);
+
+
+
+
+
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//		Adds a vector to a vector
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::vector<T> add(const panic::tensor::vector<T>& a, const panic::tensor::vector<T>& b){
+	panic::tensor::vector<T> c(a.size());
+
+	if (!add(a, b, c)){
+		return panic::tensor::vector<T>();
+	}
+
+	return c;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template panic::tensor::vector<panic::types::uint_t> 
+					add(const panic::tensor::vector<panic::types::uint_t>& a, 
+						const panic::tensor::vector<panic::types::uint_t>& b
+);
+template panic::tensor::vector<panic::types::int_t> 
+					add(const panic::tensor::vector<panic::types::int_t>& a, 
+						const panic::tensor::vector<panic::types::int_t>& b
+);
+template panic::tensor::vector<panic::types::real_t> 
+					add(const panic::tensor::vector<panic::types::real_t>& a, 
+						const panic::tensor::vector<panic::types::real_t>& b
+);
+
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//		Adds a constant to a matrix
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add(const panic::tensor::matrix<T>& A, const T k, panic::tensor::matrix<T>& C){
+
+	panic::types::uint_t rows = A.rows();
+	panic::types::uint_t cols = A.cols();
+	panic::types::uint_t work = rows*cols;
+
+	if ( !C.resize(rows, cols) ){
+		return false;
+	}
+
+
+	PANIC_OMP_PARALLEL_FOR_IF(work > add_omp_min_work)
+	for (panic::types::uint_t i = 0; i < rows; ++i){
+		for (panic::types::uint_t j = 0; j < cols; ++j){
+			C(i,j) = A(i,j) + k;
+		}
+		
+	}
+
+	return true;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template bool add(const panic::tensor::matrix<panic::types::uint_t>& A, 
+					const panic::types::uint_t k, 
+					panic::tensor::matrix<panic::types::uint_t>& C
+);
+template bool add(const panic::tensor::matrix<panic::types::int_t>& A, 
+					const panic::types::int_t k, 
+					panic::tensor::matrix<panic::types::int_t>& C
+);
+template bool add(const panic::tensor::matrix<panic::types::real_t>& A, 
+					const panic::types::real_t k, 
+					panic::tensor::matrix<panic::types::real_t>& C
+);
+
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//		Adds a constant to a matrix
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> add(const panic::tensor::matrix<T>& A, const T k){
+	panic::tensor::matrix<T> C;
+
+	if (!add(A, k, C)){
+		return panic::tensor::matrix<T>();
+	}
+
+	return C;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template panic::tensor::matrix<panic::types::uint_t> 
+						add(const panic::tensor::matrix<panic::types::uint_t>& A, 
+							const panic::types::uint_t k
+);
+template panic::tensor::matrix<panic::types::int_t> 
+						add(const panic::tensor::matrix<panic::types::int_t>& A, 
+							const panic::types::int_t k
+);
+template panic::tensor::matrix<panic::types::real_t> 
+						add(const panic::tensor::matrix<panic::types::real_t>& A, 
+							const panic::types::real_t k
+);
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//		Adds a matrix to a matrix
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B, panic::tensor::matrix<T>& C){
+
+	panic::types::uint_t rows = A.rows();
+	panic::types::uint_t cols = A.cols();
+	panic::types::uint_t work = rows*cols;
+
+	if ( (rows != B.rows()) || (cols != B.cols())){
+		return false;
+	}
+
+	if ( !C.resize(rows, cols) ){
+		return false;
+	}
+
+
+	PANIC_OMP_PARALLEL_FOR_IF(work > add_omp_min_work)
+	for (panic::types::uint_t i = 0; i < rows; ++i){
+		for (panic::types::uint_t j = 0; j < cols; ++j){
+			C(i,j) = A(i,j) + B(i,j);
+		}
+		
+	}
+
+	return true;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template bool add(const panic::tensor::matrix<panic::types::uint_t>& A, 
+					const panic::tensor::matrix<panic::types::uint_t>& B, 
+					panic::tensor::matrix<panic::types::uint_t>& C
+);
+template bool add(const panic::tensor::matrix<panic::types::int_t>& A, 
+					const panic::tensor::matrix<panic::types::int_t>& B, 
+					panic::tensor::matrix<panic::types::int_t>& C
+);
+template bool add(const panic::tensor::matrix<panic::types::real_t>& A, 
+					const panic::tensor::matrix<panic::types::real_t>& B, 
+					panic::tensor::matrix<panic::types::real_t>& C
+);
+
+
+
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add
+//
+// Description:
+//		Adds a matrix to a matrix
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> add(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B){
+	panic::tensor::matrix<T> C;
+
+	if (!add(A, B, C)){
+		return panic::tensor::matrix<T>();
+	}
+
+	return C;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template panic::tensor::matrix<panic::types::uint_t> 
+				add(const panic::tensor::matrix<panic::types::uint_t>& A, 
+					const panic::tensor::matrix<panic::types::uint_t>& B
+);
+template panic::tensor::matrix<panic::types::int_t> 
+				add(const panic::tensor::matrix<panic::types::int_t>& A, 
+					const panic::tensor::matrix<panic::types::int_t>& B
+);
+template panic::tensor::matrix<panic::types::real_t> 
+				add(const panic::tensor::matrix<panic::types::real_t>& A, 
+					const panic::tensor::matrix<panic::types::real_t>& B
+);
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add_rowwise
+//
+// Description:
+//		Adds a vector row-wise to a matrix
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add_rowwise(const panic::tensor::matrix<T>& A, const panic::tensor::vector<T>& b, panic::tensor::matrix<T>& C){
+
+	panic::types::uint_t rows = A.rows();
+	panic::types::uint_t cols = A.cols();
+	panic::types::uint_t work = rows*cols;
+
+	if ( cols != b.size() ){
+		return false;
+	}
+
+	if ( !C.resize(rows, cols) ){
+		return false;
+	}
+
+
+	PANIC_OMP_PARALLEL_FOR_IF(work > add_omp_min_work)
+	for (panic::types::uint_t i = 0; i < rows; ++i){
+		for (panic::types::uint_t j = 0; j < cols; ++j){
+
+			C(i,j) = A(i,j) + b[j];
+		}
+		
+	}
+
+	return true;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template bool add_rowwise(const panic::tensor::matrix<panic::types::uint_t>& A, 
+							const panic::tensor::vector<panic::types::uint_t>& b, 
+							panic::tensor::matrix<panic::types::uint_t>& C
+);
+template bool add_rowwise(const panic::tensor::matrix<panic::types::int_t>& A, 
+							const panic::tensor::vector<panic::types::int_t>& b, 
+							panic::tensor::matrix<panic::types::int_t>& C
+);
+template bool add_rowwise(const panic::tensor::matrix<panic::types::real_t>& A, 
+							const panic::tensor::vector<panic::types::real_t>& b, 
+							panic::tensor::matrix<panic::types::real_t>& C
+);
+
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add_rowwise
+//
+// Description:
+//		Adds a vector row-wise to a matrix
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> add_rowwise(const panic::tensor::matrix<T>& A, const panic::tensor::vector<T>& b){
+	panic::tensor::matrix<T> C;
+
+	if (!add_rowwise(A, b, C)){
+		return panic::tensor::matrix<T>();
+	}
+
+	return C;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template panic::tensor::matrix<panic::types::uint_t> 
+					add_rowwise(const panic::tensor::matrix<panic::types::uint_t>& A, 
+								const panic::tensor::vector<panic::types::uint_t>& b
+);
+template panic::tensor::matrix<panic::types::int_t> 
+					add_rowwise(const panic::tensor::matrix<panic::types::int_t>& A, 
+								const panic::tensor::vector<panic::types::int_t>& b
+);
+template panic::tensor::matrix<panic::types::real_t> 
+					add_rowwise(const panic::tensor::matrix<panic::types::real_t>& A, 
+								const panic::tensor::vector<panic::types::real_t>& b
+);
+
+
+
+
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add_colwise
+//
+// Description:
+//		Adds a vector coloumn-wise to a matrix
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool add_colwise(const panic::tensor::matrix<T>& A, const panic::tensor::vector<T>& b, panic::tensor::matrix<T>& C){
+
+	panic::types::uint_t rows = A.rows();
+	panic::types::uint_t cols = A.cols();
+	panic::types::uint_t work = rows*cols;
+
+	if ( rows != b.size() ){
+		return false;
+	}
+
+	if ( !C.resize(rows, cols) ){
+		return false;
+	}
+
+
+	PANIC_OMP_PARALLEL_FOR_IF(work > add_omp_min_work)
+	for (panic::types::uint_t i = 0; i < rows; ++i){
+		const T temp = b[i];
+		for (panic::types::uint_t j = 0; j < cols; ++j){
+
+			C(i,j) = A(i,j) + temp;
+		}
+		
+	}
+
+	return true;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template bool add_colwise(const panic::tensor::matrix<panic::types::uint_t>& A, 
+							const panic::tensor::vector<panic::types::uint_t>& b, 
+							panic::tensor::matrix<panic::types::uint_t>& C
+);
+template bool add_colwise(const panic::tensor::matrix<panic::types::int_t>& A, 
+							const panic::tensor::vector<panic::types::int_t>& b, 
+							panic::tensor::matrix<panic::types::int_t>& C
+);
+template bool add_colwise(const panic::tensor::matrix<panic::types::real_t>& A, 
+							const panic::tensor::vector<panic::types::real_t>& b, 
+							panic::tensor::matrix<panic::types::real_t>& C
+);
+
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::add_colwise
+//
+// Description:
+//		Adds a vector coloumn-wise to a matrix
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> add_colwise(const panic::tensor::matrix<T>& A, const panic::tensor::vector<T>& b){
+	panic::tensor::matrix<T> C;
+
+
+	if (!add_colwise(A, b, C)){
+		return panic::tensor::matrix<T>();
+	}
+
+	return C;
+}
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+template panic::tensor::matrix<panic::types::uint_t> 
+					add_colwise(const panic::tensor::matrix<panic::types::uint_t>& A, 
+								const panic::tensor::vector<panic::types::uint_t>& b
+);
+template panic::tensor::matrix<panic::types::int_t> 
+					add_colwise(const panic::tensor::matrix<panic::types::int_t>& A, 
+								const panic::tensor::vector<panic::types::int_t>& b
+);
+template panic::tensor::matrix<panic::types::real_t> 
+					add_colwise(const panic::tensor::matrix<panic::types::real_t>& A, 
+								const panic::tensor::vector<panic::types::real_t>& b
+);
+
+
+
+
+
+	} // namespace math
+} // namespace panic

src/math/matmul.cpp

@@ -0,0 +1,169 @@
+/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ *
+ *                                              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:         matmul.cpp
+ * Revision:          0.1.0
+ * Date:              24-06-2026
+ * Author:            Michelle Bausager
+ *
+ * Description:
+ * Functions to print out tensors with std::cout << x std::endl;
+ *
+ *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
+
+//---------------------------------------------------------------------------------------------------------------------------
+// INCLUDE DESCRIPTION
+//-----------------------------------------------------------------------------------------------------
+#include <math/matmul.hpp>
+#include <tensor/matrix.hpp> // for panic::tensor::real_matrix
+#include <config/omp.hpp>
+
+//---------------------------------------------------------------------------------------------------------------------------
+// DEFINE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+
+//---------------------------------------------------------------------------------------------------------------------------
+// VARIABLE DESCRIPTION
+//---------------------------------------------------------------------------------------------------------------------------
+static const panic::types::uint_t matmul_omp_min_work = 10000;
+
+//---------------------------------------------------------------------------------------------------------------------------
+// FUNCTION PROTOTYPE
+//---------------------------------------------------------------------------------------------------------------------------
+
+namespace panic {
+	namespace math {
+
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::matmul
+//
+// Description:
+//		Multiply two matrices into C.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+bool matmul(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B, panic::tensor::matrix<T>& C){
+
+	const panic::types::uint_t rows = A.rows();
+	const panic::types::uint_t cols = B.cols(); 
+	const panic::types::uint_t inner = A.cols();
+
+	
+	// Dimention mismacth
+	if( inner != B.rows()){
+		C.resize(0,0);
+		return false;
+	}
+
+    // In-place case: matmul(A, B, A) or matmul(A, B, B)
+    // This is not allowed since operation is unsafe.
+    // Use A = matmul(A, B) or B = matmul(A, B) instead.
+    if (&C == &A || &C == &B){
+        return false;
+    }
+
+
+	if (!C.resize(rows, cols)){
+		return false;
+	}
+
+	const panic::types::uint_t work = rows*cols*inner;
+
+
+	PANIC_OMP_PARALLEL_FOR_IF(work > matmul_omp_min_work)
+	for (panic::types::uint_t i = 0; i < rows; ++i){
+		for (panic::types::uint_t j = 0; j < cols; ++j){
+			T sum = static_cast<T>(0);
+			for (panic::types::uint_t k = 0; k < inner; ++k){
+				sum += A(i,k) * B(k,j);
+			}
+			C(i,j) = sum;
+		}
+	}
+	return true;
+}
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function Name : panic::math::matmul
+//
+// Description:
+//		Multiply two matrices and returns the result.
+//--------------------------------------------------------------------------------------------------------------------------
+template <typename T>
+panic::tensor::matrix<T> matmul(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B){
+
+	panic::tensor::matrix<T> C;
+
+	if (!matmul(A,B,C)){
+		return panic::tensor::matrix<T>();
+	}
+
+	return C;
+}
+
+
+//---------------------------------------------------------------------------------------------------------------------------
+// EXPLICIT TEMPLATE DECLARATION
+//---------------------------------------------------------------------------------------------------------------------------
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function : bool matmul(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B, panic::tensor::matrix<T>& C)
+template bool matmul<panic::types::uint_t>(
+    const panic::tensor::matrix<panic::types::uint_t>& A,
+    const panic::tensor::matrix<panic::types::uint_t>& B,
+    panic::tensor::matrix<panic::types::uint_t>& C
+);
+
+template bool matmul<panic::types::int_t>(
+    const panic::tensor::matrix<panic::types::int_t>& A,
+    const panic::tensor::matrix<panic::types::int_t>& B,
+    panic::tensor::matrix<panic::types::int_t>& C
+);
+
+template bool matmul<panic::types::real_t>(
+    const panic::tensor::matrix<panic::types::real_t>& A,
+    const panic::tensor::matrix<panic::types::real_t>& B,
+    panic::tensor::matrix<panic::types::real_t>& C
+);
+
+//--------------------------------------------------------------------------------------------------------------------------
+// Function : panic::tensor::matrix<T> matmul(const panic::tensor::matrix<T>& A, const panic::tensor::matrix<T>& B)
+template panic::tensor::matrix<panic::types::uint_t> matmul<panic::types::uint_t>(
+    const panic::tensor::matrix<panic::types::uint_t>& A,
+    const panic::tensor::matrix<panic::types::uint_t>& B
+);
+
+template panic::tensor::matrix<panic::types::int_t> matmul<panic::types::int_t>(
+    const panic::tensor::matrix<panic::types::int_t>& A,
+    const panic::tensor::matrix<panic::types::int_t>& B
+);
+
+template panic::tensor::matrix<panic::types::real_t> matmul<panic::types::real_t>(
+    const panic::tensor::matrix<panic::types::real_t>& A,
+    const panic::tensor::matrix<panic::types::real_t>& B
+);
+
+
+	} // namespace math
+} // namespace panic

src/neural_network/layer/layer.cpp

@@ -1,329 +0,0 @@
-/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
- *
- *                                              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:         layer_dense.cpp
- * Revision:          0.1.0
- * Date:              23-06-2026
- * Author:            Michelle Bausager
- *
- * Description:
- * Defines the dense layers used in neural network
- *
- *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
-
-//---------------------------------------------------------------------------------------------------------------------------
-// INCLUDE DESCRIPTION
-//---------------------------------------------------------------------------------------------------------------------------
-#include <tensor/vector.hpp>
-#include <config/omp.hpp>
-
-//---------------------------------------------------------------------------------------------------------------------------
-// DEFINE DESCRIPTION
-//---------------------------------------------------------------------------------------------------------------------------
-
-//---------------------------------------------------------------------------------------------------------------------------
-// TYPE DESCRIPTION
-//---------------------------------------------------------------------------------------------------------------------------
-
-//---------------------------------------------------------------------------------------------------------------------------
-// VARIABLE DESCRIPTION
-//---------------------------------------------------------------------------------------------------------------------------
-static const panic::uint_t vector_omp_min_size = 10000;
-
-//---------------------------------------------------------------------------------------------------------------------------
-// FUNCTION PROTOTYPE
-//---------------------------------------------------------------------------------------------------------------------------
-namespace panic{
-	namespace tensor{
-
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Constructor Name : panic::tensor::vector::vector
-//
-// Description:
-//		Creates an empty vector.
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-vector<T>::vector() {
-	length = 0;
-	data = 0;
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Constructor Name : panic::tensor::vector::vector
-//
-// Description:
-//		Creates a vector with size allocation and initializes all values to zero.
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-vector<T>::vector(panic::uint_t size){
-	length = size;
-
-	if (length == 0){
-		data = 0;
-		return;
-	}
-
-	data = new T[length];
-
-	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < size; ++i){
-		data[i] = static_cast<T>(0);
-	}
-
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Constructor Name : panic::tensor::vector::vector
-//
-// Description:
-//		Creates a vector with size allocation and initializes all values.
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-vector<T>::vector(panic::uint_t size, T value){
-	length = size;
-
-	if (size == 0){
-		data = 0;
-		return;
-	}
-
-	data = new T[size];
-
-	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < size; ++i){
-		data[i] = value;
-	}
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Constructor Name : panic::tensor::vector::vector
-//
-// Description:
-//		Copy-contructor, makes a deep copy of another vector like this:
-//		vector a(3);
-// 		vector b = a;
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-vector<T>::vector(const vector& other){
-	length = other.length;
-
-	if (length == 0){
-		data = 0;
-		return;
-	}
-
-	data = new T[length];
-
-	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
-		data[i] = other.data[i];
-	}
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Deconstructor Name : panic::tensor::vector::~vector
-//
-// Description:
-//		Deletes the data and releases the memory.
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-vector<T>::~vector(){
-	delete[] data;
-
-	data = 0;
-	length = 0;
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::operator=
-//
-// Description:
-//		Copy-assignment. Copies from another vector like this:
-//		vector a(5);
-//		vector b(3);
-//		b = a;
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-vector<T>& vector<T>::operator=(const vector& other){
-	if (this == &other){
-		return *this;
-	}
-
-	T* new_data = 0;
-
-	if (other.length > 0){
-		new_data = new T[other.length];
-
-		PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-		for (panic::uint_t i = 0; i < other.length; ++i){
-			new_data[i] = other.data[i];
-		}
-	}
-
-	delete[] data;
-
-	data = new_data;
-	length = other.length;
-
-	return *this;
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::resize
-//
-// Description:
-//		Returns the length/size of the vector
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-panic::uint_t vector<T>::size() const{
-	return length;
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::resize
-//
-// Description:
-//		Resizes the vector to new length and keeps old values
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-bool vector<T>::resize(panic::uint_t new_size){
-	if (new_size == length){
-		return true;
-	}
-
-	if (new_size == 0){
-		data = 0;
-		length = 0;
-
-		return true;
-	}
-
-	T* new_data = new T[new_size];
-	panic::uint_t copy_size = length;
-
-	if (new_size < length){
-		copy_size = new_size;
-	}
-
-	PANIC_OMP_PARALLEL_FOR_IF(copy_size > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < copy_size; ++i){
-		new_data[i] = data[i];
-	}
-
-	PANIC_OMP_PARALLEL_FOR_IF(copy_size - new_size > vector_omp_min_size)
-	for (panic::uint_t i = copy_size; i < new_size; ++i){
-		new_data[i] = static_cast<T>(0);
-	}
-
-	delete[] data;
-
-	data = new_data;
-	length = new_size;
-
-	return true;
-
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::fill
-//
-// Description:
-//		Fills te vector with a value
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-bool vector<T>::fill(T value){
-	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
-		data[i] = value;
-	}
-
-	return true;
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::operator[]
-//
-// Description:
-//		Lets you read and write v[index]
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-T& vector<T>::operator[](panic::uint_t index){
-	return data[index];
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::operator[]
-//
-// Description:
-//		Lets you read v[index] from a const vector
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-const T& vector<T>::operator[](panic::uint_t index) const{
-	return data[index];
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::at
-//
-// Description:
-//		Lets you read and write v.at(index) with index bounse
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-T& vector<T>::at(panic::uint_t index){
-
-	if (index >= length){
-		return data[length-1];
-	}
-
-	return data[index];
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::at
-//
-// Description:
-//		Lets you read v[index] from a const vector with index bounse
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-const T& vector<T>::at(panic::uint_t index) const{
-	if (index >= length){
-		return data[length-1];
-	}
-	return data[index];
-}
-
-
-
-//---------------------------------------------------------------------------------------------------------------------------
-// EXPLICIT TEMPLATE INSTANTIATION
-//---------------------------------------------------------------------------------------------------------------------------
-
-template struct vector<panic::real_t>;
-template struct vector<panic::int_t>;
-template struct vector<panic::uint_t>;
-
-
-	} // namespace tensor
-} // namespace panic

src/neural_network/layer/layer_dense.cpp

@@ -35,8 +35,10 @@
 //---------------------------------------------------------------------------------------------------------------------------
 // INCLUDE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
-#include <tensor/vector.hpp>
+#include <neural_network/layer/layer_dense.hpp>
 #include <config/omp.hpp>
+#include <math/matmul.hpp>
+#include <math/add.hpp>
 
 //---------------------------------------------------------------------------------------------------------------------------
 // DEFINE DESCRIPTION
@@ -49,97 +51,37 @@
 //---------------------------------------------------------------------------------------------------------------------------
 // VARIABLE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
-static const panic::uint_t vector_omp_min_size = 10000;
+static const panic::types::uint_t layer_dense_omp_min_size = 10000;
 
 //---------------------------------------------------------------------------------------------------------------------------
 // FUNCTION PROTOTYPE
 //---------------------------------------------------------------------------------------------------------------------------
 namespace panic{
-	namespace tensor{
+	namespace neural_network{
 
 
 //--------------------------------------------------------------------------------------------------------------------------
-// Constructor Name : panic::tensor::vector::vector
+// Constructor Name : panic::neural_network::layer_dense
 //
 // Description:
-//		Creates an empty vector.
+//		Creates an empty layer.
 //--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
+layer_dense::layer_dense() {
-vector<T>::vector() {
+	weights.resize(0,0);
-	length = 0;
+	biases.resize(0);
-	data = 0;
+	outputs.resize(0,0);
 }
 
 //--------------------------------------------------------------------------------------------------------------------------
-// Constructor Name : panic::tensor::vector::vector
+// Constructor Name : panic::neural_network::layer_dense
 //
 // Description:
-//		Creates a vector with size allocation and initializes all values to zero.
+//		Creates an empty layer.
 //--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
+layer_dense::layer_dense(panic::types::uint_t input_size, panic::types::uint_t neurons) {
-vector<T>::vector(panic::uint_t size){
+	weights.resize(input_size, neurons);
-	length = size;
+	biases.resize(neurons);
-
+	outputs.resize(0,0);
-	if (length == 0){
-		data = 0;
-		return;
-	}
-
-	data = new T[length];
-
-	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < size; ++i){
-		data[i] = static_cast<T>(0);
-	}
-
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Constructor Name : panic::tensor::vector::vector
-//
-// Description:
-//		Creates a vector with size allocation and initializes all values.
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-vector<T>::vector(panic::uint_t size, T value){
-	length = size;
-
-	if (size == 0){
-		data = 0;
-		return;
-	}
-
-	data = new T[size];
-
-	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < size; ++i){
-		data[i] = value;
-	}
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Constructor Name : panic::tensor::vector::vector
-//
-// Description:
-//		Copy-contructor, makes a deep copy of another vector like this:
-//		vector a(3);
-// 		vector b = a;
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-vector<T>::vector(const vector& other){
-	length = other.length;
-
-	if (length == 0){
-		data = 0;
-		return;
-	}
-
-	data = new T[length];
-
-	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
-		data[i] = other.data[i];
-	}
 }
 
 //--------------------------------------------------------------------------------------------------------------------------
@@ -148,182 +90,56 @@ vector<T>::vector(const vector& other){
 // Description:
 //		Deletes the data and releases the memory.
 //--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
+//template <typename T>
-vector<T>::~vector(){
+//vector<T>::~vector(){
-	delete[] data;
+//	delete[] data;
-
+//
-	data = 0;
+//	data = 0;
-	length = 0;
+//	length = 0;
-}
+//}
 
 //--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::operator=
+// Function Name : panic::neural_network::layer_dense.forward
 //
 // Description:
-//		Copy-assignment. Copies from another vector like this:
+//		Calculated the forward pass:
-//		vector a(5);
+//		outputs = inputs * weights + biases
-//		vector b(3);
-//		b = a;
 //--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
+bool layer_dense::forward(const panic::tensor::real_matrix& inputs){
-vector<T>& vector<T>::operator=(const vector& other){
+
-	if (this == &other){
+	if (inputs.cols() != weights.rows()){
-		return *this;
+		return false;
 	}
 
-	T* new_data = 0;
+	if (!outputs.resize(inputs.rows(), weights.cols())){
-
+		return false;
-	if (other.length > 0){
-		new_data = new T[other.length];
-
-		PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-		for (panic::uint_t i = 0; i < other.length; ++i){
-			new_data[i] = other.data[i];
-		}
 	}
 
-	delete[] data;
+	if (!panic::math::matmul(inputs, weights, outputs)){
-
+		return false;
-	data = new_data;
-	length = other.length;
-
-	return *this;
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::resize
-//
-// Description:
-//		Returns the length/size of the vector
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-panic::uint_t vector<T>::size() const{
-	return length;
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::resize
-//
-// Description:
-//		Resizes the vector to new length and keeps old values
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-bool vector<T>::resize(panic::uint_t new_size){
-	if (new_size == length){
-		return true;
 	}
 
-	if (new_size == 0){
+	if (!panic::math::add_rowwise(outputs, biases, outputs)){
-		data = 0;
+		return false;
-		length = 0;
-
-		return true;
-	}
-
-	T* new_data = new T[new_size];
-	panic::uint_t copy_size = length;
-
-	if (new_size < length){
-		copy_size = new_size;
-	}
-
-	PANIC_OMP_PARALLEL_FOR_IF(copy_size > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < copy_size; ++i){
-		new_data[i] = data[i];
-	}
-
-	PANIC_OMP_PARALLEL_FOR_IF(copy_size - new_size > vector_omp_min_size)
-	for (panic::uint_t i = copy_size; i < new_size; ++i){
-		new_data[i] = static_cast<T>(0);
-	}
-
-	delete[] data;
-
-	data = new_data;
-	length = new_size;
-
-	return true;
-
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::fill
-//
-// Description:
-//		Fills te vector with a value
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-bool vector<T>::fill(T value){
-	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
-		data[i] = value;
 	}
 
 	return true;
 }
 
+
 //--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::operator[]
+// Function Name : panic::neural_network::layer_dense.backward
 //
 // Description:
-//		Lets you read and write v[index]
+//		Calculated the backward pass:
+//		??
 //--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
+bool layer_dense::backward(const panic::tensor::real_matrix& dinputs){
-T& vector<T>::operator[](panic::uint_t index){
+
-	return data[index];
+
+	return true;
 }
 
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::operator[]
-//
-// Description:
-//		Lets you read v[index] from a const vector
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-const T& vector<T>::operator[](panic::uint_t index) const{
-	return data[index];
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::at
-//
-// Description:
-//		Lets you read and write v.at(index) with index bounse
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-T& vector<T>::at(panic::uint_t index){
-
-	if (index >= length){
-		return data[length-1];
-	}
-
-	return data[index];
-}
-
-//--------------------------------------------------------------------------------------------------------------------------
-// Function Name : panic::tensor::vector::at
-//
-// Description:
-//		Lets you read v[index] from a const vector with index bounse
-//--------------------------------------------------------------------------------------------------------------------------
-template <typename T>
-const T& vector<T>::at(panic::uint_t index) const{
-	if (index >= length){
-		return data[length-1];
-	}
-	return data[index];
-}
-
-
-
-//---------------------------------------------------------------------------------------------------------------------------
-// EXPLICIT TEMPLATE INSTANTIATION
-//---------------------------------------------------------------------------------------------------------------------------
-
-template struct vector<panic::real_t>;
-template struct vector<panic::int_t>;
-template struct vector<panic::uint_t>;
-
 
 	} // namespace tensor
 } // namespace panic

src/tensor/matrix.cpp

@@ -49,7 +49,7 @@
 //---------------------------------------------------------------------------------------------------------------------------
 // VARIABLE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
-static const panic::uint_t matrix_omp_min_size = 10000;
+static const panic::types::uint_t matrix_omp_min_size = 10000;
 
 //---------------------------------------------------------------------------------------------------------------------------
 // FUNCTION PROTOTYPE
@@ -79,7 +79,7 @@ matrix<T>::matrix() {
 //		Creates a matrix with size allocation and initializes all values to zero.
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-matrix<T>::matrix(panic::uint_t rows, panic::uint_t cols){
+matrix<T>::matrix(panic::types::uint_t rows, panic::types::uint_t cols){
 	n = rows;
 	m = cols;
 	length = n*m;
@@ -92,7 +92,7 @@ matrix<T>::matrix(panic::uint_t rows, panic::uint_t cols){
 	data = new T[length];
 
 	PANIC_OMP_PARALLEL_FOR_IF(length > matrix_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
+	for (panic::types::uint_t i = 0; i < length; ++i){
 		data[i] = static_cast<T>(0);
 	}
 
@@ -105,7 +105,7 @@ matrix<T>::matrix(panic::uint_t rows, panic::uint_t cols){
 //		Creates a matrix with size allocation and initializes all values.
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-matrix<T>::matrix(panic::uint_t rows, panic::uint_t cols, T value){
+matrix<T>::matrix(panic::types::uint_t rows, panic::types::uint_t cols, T value){
 	n = rows;
 	m = cols;
 	length = n*m;
@@ -118,7 +118,7 @@ matrix<T>::matrix(panic::uint_t rows, panic::uint_t cols, T value){
 	data = new T[length];
 
 	PANIC_OMP_PARALLEL_FOR_IF(length > matrix_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
+	for (panic::types::uint_t i = 0; i < length; ++i){
 		data[i] = value;
 	}
 }
@@ -145,7 +145,7 @@ matrix<T>::matrix(const matrix& other){
 	data = new T[length];
 
 	PANIC_OMP_PARALLEL_FOR_IF(length > matrix_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
+	for (panic::types::uint_t i = 0; i < length; ++i){
 		data[i] = other.data[i];
 	}
 }
@@ -186,8 +186,8 @@ matrix<T>& matrix<T>::operator=(const matrix& other){
 	if (other.length > 0){
 		new_data = new T[other.length];
 
-		PANIC_OMP_PARALLEL_FOR_IF(length > matrix_omp_min_size)
+		PANIC_OMP_PARALLEL_FOR_IF(other.length > matrix_omp_min_size)
-		for (panic::uint_t i = 0; i < other.length; ++i){
+		for (panic::types::uint_t i = 0; i < other.length; ++i){
 			new_data[i] = other.data[i];
 		}
 	}
@@ -209,7 +209,7 @@ matrix<T>& matrix<T>::operator=(const matrix& other){
 //		Returns the length/size of the matrix
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-panic::uint_t matrix<T>::rows() const{
+panic::types::uint_t matrix<T>::rows() const{
 	return n;
 }
 
@@ -220,7 +220,7 @@ panic::uint_t matrix<T>::rows() const{
 //		Returns the length/size of the matrix
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-panic::uint_t matrix<T>::cols() const{
+panic::types::uint_t matrix<T>::cols() const{
 	return m;
 }
 
@@ -231,7 +231,7 @@ panic::uint_t matrix<T>::cols() const{
 //		Resizes the matrix to new dimentions and keeps old values
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-bool matrix<T>::resize(panic::uint_t new_n, panic::uint_t new_m){
+bool matrix<T>::resize(panic::types::uint_t new_n, panic::types::uint_t new_m){
 
 	if ((new_n == n) && (new_m == m)){
 		return true;
@@ -247,22 +247,22 @@ bool matrix<T>::resize(panic::uint_t new_n, panic::uint_t new_m){
 		return true;
 	}
 
-	panic::uint_t new_length = new_n*new_m;
+	panic::types::uint_t new_length = new_n*new_m;
 
 	T* new_data = new T[new_length];
-	panic::uint_t copy_size = length;
+	panic::types::uint_t copy_size = length;
 
 	if (new_length < length){
 		copy_size = new_length;
 	}
 
 	PANIC_OMP_PARALLEL_FOR_IF(copy_size > matrix_omp_min_size)
-	for (panic::uint_t i = 0; i < copy_size; ++i){
+	for (panic::types::uint_t i = 0; i < copy_size; ++i){
 		new_data[i] = data[i];
 	}
 
 	PANIC_OMP_PARALLEL_FOR_IF(new_length - copy_size > matrix_omp_min_size)
-	for (panic::uint_t i = copy_size; i < new_length; ++i){
+	for (panic::types::uint_t i = copy_size; i < new_length; ++i){
 		new_data[i] = static_cast<T>(0);
 	}
 
@@ -286,7 +286,7 @@ bool matrix<T>::resize(panic::uint_t new_n, panic::uint_t new_m){
 template <typename T>
 bool matrix<T>::fill(T value){
 	PANIC_OMP_PARALLEL_FOR_IF(length > matrix_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
+	for (panic::types::uint_t i = 0; i < length; ++i){
 		data[i] = value;
 	}
 
@@ -300,7 +300,7 @@ bool matrix<T>::fill(T value){
 //		Lets you read and write A(2,3)
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-T& matrix<T>::operator()(panic::uint_t index_n, panic::uint_t index_m){
+T& matrix<T>::operator()(panic::types::uint_t index_n, panic::types::uint_t index_m){
 	return data[index_n*m + index_m];
 }
 
@@ -312,7 +312,7 @@ T& matrix<T>::operator()(panic::uint_t index_n, panic::uint_t index_m){
 //		Lets you read A(2,3) from a const matrix
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-const T& matrix<T>::operator()(panic::uint_t index_n, panic::uint_t index_m) const{
+const T& matrix<T>::operator()(panic::types::uint_t index_n, panic::types::uint_t index_m) const{
 	return data[index_n*m + index_m];
 }
 
@@ -321,9 +321,9 @@ const T& matrix<T>::operator()(panic::uint_t index_n, panic::uint_t index_m) con
 // EXPLICIT TEMPLATE INSTANTIATION
 //---------------------------------------------------------------------------------------------------------------------------
 
-template struct matrix<panic::real_t>;
+template struct matrix<panic::types::real_t>;
-template struct matrix<panic::int_t>;
+template struct matrix<panic::types::int_t>;
-template struct matrix<panic::uint_t>;
+template struct matrix<panic::types::uint_t>;
 
 
 	} // namespace tensor

src/tensor/vector.cpp

@@ -49,7 +49,7 @@
 //---------------------------------------------------------------------------------------------------------------------------
 // VARIABLE DESCRIPTION
 //---------------------------------------------------------------------------------------------------------------------------
-static const panic::uint_t vector_omp_min_size = 10000;
+static const panic::types::uint_t vector_omp_min_size = 10000;
 
 //---------------------------------------------------------------------------------------------------------------------------
 // FUNCTION PROTOTYPE
@@ -77,7 +77,7 @@ vector<T>::vector() {
 //		Creates a vector with size allocation and initializes all values to zero.
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-vector<T>::vector(panic::uint_t size){
+vector<T>::vector(panic::types::uint_t size){
 	length = size;
 
 	if (length == 0){
@@ -88,7 +88,7 @@ vector<T>::vector(panic::uint_t size){
 	data = new T[length];
 
 	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < size; ++i){
+	for (panic::types::uint_t i = 0; i < size; ++i){
 		data[i] = static_cast<T>(0);
 	}
 
@@ -101,7 +101,7 @@ vector<T>::vector(panic::uint_t size){
 //		Creates a vector with size allocation and initializes all values.
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-vector<T>::vector(panic::uint_t size, T value){
+vector<T>::vector(panic::types::uint_t size, T value){
 	length = size;
 
 	if (size == 0){
@@ -112,7 +112,7 @@ vector<T>::vector(panic::uint_t size, T value){
 	data = new T[size];
 
 	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < size; ++i){
+	for (panic::types::uint_t i = 0; i < size; ++i){
 		data[i] = value;
 	}
 }
@@ -137,7 +137,7 @@ vector<T>::vector(const vector& other){
 	data = new T[length];
 
 	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
+	for (panic::types::uint_t i = 0; i < length; ++i){
 		data[i] = other.data[i];
 	}
 }
@@ -177,7 +177,7 @@ vector<T>& vector<T>::operator=(const vector& other){
 		new_data = new T[other.length];
 
 		PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-		for (panic::uint_t i = 0; i < other.length; ++i){
+		for (panic::types::uint_t i = 0; i < other.length; ++i){
 			new_data[i] = other.data[i];
 		}
 	}
@@ -197,7 +197,7 @@ vector<T>& vector<T>::operator=(const vector& other){
 //		Returns the length/size of the vector
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-panic::uint_t vector<T>::size() const{
+panic::types::uint_t vector<T>::size() const{
 	return length;
 }
 
@@ -208,7 +208,7 @@ panic::uint_t vector<T>::size() const{
 //		Resizes the vector to new length and keeps old values
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-bool vector<T>::resize(panic::uint_t new_size){
+bool vector<T>::resize(panic::types::uint_t new_size){
 	if (new_size == length){
 		return true;
 	}
@@ -221,19 +221,19 @@ bool vector<T>::resize(panic::uint_t new_size){
 	}
 
 	T* new_data = new T[new_size];
-	panic::uint_t copy_size = length;
+	panic::types::uint_t copy_size = length;
 
 	if (new_size < length){
 		copy_size = new_size;
 	}
 
 	PANIC_OMP_PARALLEL_FOR_IF(copy_size > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < copy_size; ++i){
+	for (panic::types::uint_t i = 0; i < copy_size; ++i){
 		new_data[i] = data[i];
 	}
 
 	PANIC_OMP_PARALLEL_FOR_IF(copy_size - new_size > vector_omp_min_size)
-	for (panic::uint_t i = copy_size; i < new_size; ++i){
+	for (panic::types::uint_t i = copy_size; i < new_size; ++i){
 		new_data[i] = static_cast<T>(0);
 	}
 
@@ -255,7 +255,7 @@ bool vector<T>::resize(panic::uint_t new_size){
 template <typename T>
 bool vector<T>::fill(T value){
 	PANIC_OMP_PARALLEL_FOR_IF(length > vector_omp_min_size)
-	for (panic::uint_t i = 0; i < length; ++i){
+	for (panic::types::uint_t i = 0; i < length; ++i){
 		data[i] = value;
 	}
 
@@ -269,7 +269,7 @@ bool vector<T>::fill(T value){
 //		Lets you read and write v[index]
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-T& vector<T>::operator[](panic::uint_t index){
+T& vector<T>::operator[](panic::types::uint_t index){
 	return data[index];
 }
 
@@ -280,7 +280,7 @@ T& vector<T>::operator[](panic::uint_t index){
 //		Lets you read v[index] from a const vector
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-const T& vector<T>::operator[](panic::uint_t index) const{
+const T& vector<T>::operator[](panic::types::uint_t index) const{
 	return data[index];
 }
 
@@ -291,7 +291,7 @@ const T& vector<T>::operator[](panic::uint_t index) const{
 //		Lets you read and write v.at(index) with index bounse
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-T& vector<T>::at(panic::uint_t index){
+T& vector<T>::at(panic::types::uint_t index){
 
 	if (index >= length){
 		return data[length-1];
@@ -307,7 +307,7 @@ T& vector<T>::at(panic::uint_t index){
 //		Lets you read v[index] from a const vector with index bounse
 //--------------------------------------------------------------------------------------------------------------------------
 template <typename T>
-const T& vector<T>::at(panic::uint_t index) const{
+const T& vector<T>::at(panic::types::uint_t index) const{
 	if (index >= length){
 		return data[length-1];
 	}
@@ -320,9 +320,9 @@ const T& vector<T>::at(panic::uint_t index) const{
 // EXPLICIT TEMPLATE INSTANTIATION
 //---------------------------------------------------------------------------------------------------------------------------
 
-template struct vector<panic::real_t>;
+template struct vector<panic::types::real_t>;
-template struct vector<panic::int_t>;
+template struct vector<panic::types::int_t>;
-template struct vector<panic::uint_t>;
+template struct vector<panic::types::uint_t>;
 
 
 	} // namespace tensor