Dense Layer, Add
added the dense layer with a forward functions. I also made the add functions for most cases.
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BIN
Binary file not shown.
@@ -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
|
||||
|
||||
@@ -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
|
||||
|
||||
|
||||
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
// Number of elements in the vector.
|
||||
//
|
||||
// data panic::real_t*
|
||||
// Pointer to the allocated vector data.
|
||||
// None.
|
||||
//
|
||||
// Notes:
|
||||
// This vector uses dynamic allocation with new[] and delete[].
|
||||
// Copying performs a deep copy.
|
||||
// This base layer should be used in all layers/activations that have a forward and backward function
|
||||
// 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 vector{
|
||||
panic::uint_t length;
|
||||
T* data;
|
||||
struct layer{
|
||||
|
||||
// empty contructor
|
||||
vector();
|
||||
virtual ~layer() = default;
|
||||
|
||||
// contructor with size allocation
|
||||
vector(panic::uint_t size);
|
||||
|
||||
// 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;
|
||||
virtual bool forward(const panic::tensor::real_matrix& inputs) = 0;
|
||||
virtual bool backward(const panic::tensor::real_matrix& dinputs) = 0;
|
||||
|
||||
};
|
||||
|
||||
|
||||
//---------------------------------------------------------------------------------------------------------------------------
|
||||
// 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
|
||||
|
||||
@@ -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:
|
||||
// length panic::uint_t
|
||||
// Number of elements in the vector.
|
||||
// Inputs:
|
||||
// Samples x input size const panic::tensor::real_matrix&
|
||||
//
|
||||
// data panic::real_t*
|
||||
// Pointer to the allocated vector data.
|
||||
// Weight shape:
|
||||
// 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[].
|
||||
// Copying performs a deep copy.
|
||||
//---------------------------------------------------------------------------------------------------------------------------
|
||||
// forward(input) calculates:
|
||||
//
|
||||
// outputs = inputs * weights + biases
|
||||
//--------------------------------------------------------------------------------------------------------------------------
|
||||
namespace panic{
|
||||
namespace tensor{
|
||||
namespace neural_network{
|
||||
|
||||
template <typename T>
|
||||
struct vector{
|
||||
panic::uint_t length;
|
||||
T* data;
|
||||
struct layer_dense : public layer{
|
||||
|
||||
// empty contructor
|
||||
vector();
|
||||
panic::tensor::real_matrix weights;
|
||||
panic::tensor::real_vector biases;
|
||||
panic::tensor::real_matrix outputs;
|
||||
|
||||
// contructor with size allocation
|
||||
vector(panic::uint_t size);
|
||||
// Empthy contructor
|
||||
layer_dense();
|
||||
|
||||
// contructor with size allocation and sets it all to a value
|
||||
vector(panic::uint_t size, T value);
|
||||
// Contructor with layer size
|
||||
layer_dense(panic::types::uint_t input_size, panic::types::uint_t neurons);
|
||||
|
||||
// copy-contructor
|
||||
// vector a(3);
|
||||
// vector b = a;
|
||||
vector(const vector& other);
|
||||
// Decontructor (All internal variables has decontructors, so we can just use default)
|
||||
~layer_dense() = default;
|
||||
|
||||
// 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;
|
||||
// Forward function for forward pass
|
||||
bool forward(const panic::tensor::real_matrix& inputs);
|
||||
|
||||
// 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
|
||||
|
||||
|
||||
+16
-16
@@ -70,19 +70,19 @@ namespace panic{
|
||||
|
||||
template <typename T>
|
||||
struct matrix{
|
||||
panic::uint_t n;
|
||||
panic::uint_t m;
|
||||
panic::uint_t length;
|
||||
panic::types::uint_t n;
|
||||
panic::types::uint_t m;
|
||||
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::int_t> int_matrix;
|
||||
typedef matrix<panic::uint_t> uint_matrix;
|
||||
typedef matrix<panic::types::real_t> real_matrix;
|
||||
typedef matrix<panic::types::int_t> int_matrix;
|
||||
typedef matrix<panic::types::uint_t> uint_matrix;
|
||||
|
||||
//---------------------------------------------------------------------------------------------------------------------------
|
||||
// EXPLICIT TEMPLATE DECLARATION
|
||||
//---------------------------------------------------------------------------------------------------------------------------
|
||||
|
||||
extern template struct matrix<panic::real_t>;
|
||||
extern template struct matrix<panic::int_t>;
|
||||
extern template struct matrix<panic::uint_t>;
|
||||
extern template struct matrix<panic::types::real_t>;
|
||||
extern template struct matrix<panic::types::int_t>;
|
||||
extern template struct matrix<panic::types::uint_t>;
|
||||
|
||||
|
||||
} // namespace tensor
|
||||
|
||||
+15
-15
@@ -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::int_t> int_vector;
|
||||
typedef vector<panic::uint_t> uint_vector;
|
||||
typedef vector<panic::types::real_t> real_vector;
|
||||
typedef vector<panic::types::int_t> int_vector;
|
||||
typedef vector<panic::types::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>;
|
||||
extern template struct vector<panic::types::real_t>;
|
||||
extern template struct vector<panic::types::int_t>;
|
||||
extern template struct vector<panic::types::uint_t>;
|
||||
|
||||
|
||||
} // namespace tensor
|
||||
|
||||
@@ -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;
|
||||
|
||||
|
||||
|
||||
|
||||
+11
-10
@@ -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){
|
||||
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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>
|
||||
vector<T>::vector() {
|
||||
length = 0;
|
||||
data = 0;
|
||||
layer_dense::layer_dense() {
|
||||
weights.resize(0,0);
|
||||
biases.resize(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>
|
||||
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];
|
||||
}
|
||||
layer_dense::layer_dense(panic::types::uint_t input_size, panic::types::uint_t neurons) {
|
||||
weights.resize(input_size, neurons);
|
||||
biases.resize(neurons);
|
||||
outputs.resize(0,0);
|
||||
}
|
||||
|
||||
//--------------------------------------------------------------------------------------------------------------------------
|
||||
@@ -148,182 +90,56 @@ vector<T>::vector(const vector& other){
|
||||
// Description:
|
||||
// Deletes the data and releases the memory.
|
||||
//--------------------------------------------------------------------------------------------------------------------------
|
||||
template <typename T>
|
||||
vector<T>::~vector(){
|
||||
delete[] data;
|
||||
|
||||
data = 0;
|
||||
length = 0;
|
||||
}
|
||||
//template <typename T>
|
||||
//vector<T>::~vector(){
|
||||
// delete[] data;
|
||||
//
|
||||
// data = 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:
|
||||
// vector a(5);
|
||||
// vector b(3);
|
||||
// b = a;
|
||||
// Calculated the forward pass:
|
||||
// outputs = inputs * weights + biases
|
||||
//--------------------------------------------------------------------------------------------------------------------------
|
||||
template <typename T>
|
||||
vector<T>& vector<T>::operator=(const vector& other){
|
||||
if (this == &other){
|
||||
return *this;
|
||||
bool layer_dense::forward(const panic::tensor::real_matrix& inputs){
|
||||
|
||||
if (inputs.cols() != weights.rows()){
|
||||
return false;
|
||||
}
|
||||
|
||||
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];
|
||||
}
|
||||
if (!outputs.resize(inputs.rows(), weights.cols())){
|
||||
return false;
|
||||
}
|
||||
|
||||
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 (!panic::math::matmul(inputs, weights, outputs)){
|
||||
return false;
|
||||
}
|
||||
|
||||
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;
|
||||
if (!panic::math::add_rowwise(outputs, biases, outputs)){
|
||||
return false;
|
||||
}
|
||||
|
||||
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>
|
||||
T& vector<T>::operator[](panic::uint_t index){
|
||||
return data[index];
|
||||
bool layer_dense::backward(const panic::tensor::real_matrix& dinputs){
|
||||
|
||||
|
||||
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
|
||||
} // namespace panic
|
||||
|
||||
+21
-21
@@ -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)
|
||||
for (panic::uint_t i = 0; i < other.length; ++i){
|
||||
PANIC_OMP_PARALLEL_FOR_IF(other.length > matrix_omp_min_size)
|
||||
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::int_t>;
|
||||
template struct matrix<panic::uint_t>;
|
||||
template struct matrix<panic::types::real_t>;
|
||||
template struct matrix<panic::types::int_t>;
|
||||
template struct matrix<panic::types::uint_t>;
|
||||
|
||||
|
||||
} // namespace tensor
|
||||
|
||||
+20
-20
@@ -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::int_t>;
|
||||
template struct vector<panic::uint_t>;
|
||||
template struct vector<panic::types::real_t>;
|
||||
template struct vector<panic::types::int_t>;
|
||||
template struct vector<panic::types::uint_t>;
|
||||
|
||||
|
||||
} // namespace tensor
|
||||
|
||||
Reference in New Issue
Block a user