Started on Random Library

I made seed and uniform functions, but they are not omp friendly. They are runnning omp themself, but is not safe for threading/parallizing. Uniform is aproximated and is NOT validaded up against a real uniform distribution.
This commit is contained in:
2026-07-28 17:32:49 +02:00
parent 52684e6b8a
commit 441540a996
7 changed files with 1359 additions and 15 deletions
+20 -13
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@@ -99,20 +99,27 @@ template bool print_vector<panic::types::real_t>(const panic::tensor::vector<pan
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
bool print_matrix(const panic::tensor::matrix<T>& A){
std::cout << "[";
for (panic::types::uint_t i = 0; i < A.rows(); ++i){
std::cout << "[";
for (panic::types::uint_t j = 0; j < A.cols(); ++j){
std::cout << A(i,j) << ", ";
}
if (i < A.rows()-1){
std::cout << A(A.rows()-1,A.cols()-1) << "]" << std::endl;
}else{
std::cout << A(A.rows()-1,A.cols()-1) << "]]" << std::endl;
}
}
return true;
std::cout << "[";
for (panic::types::uint_t i = 0; i < A.rows(); ++i){
std::cout << "[";
for (panic::types::uint_t j = 0; j < A.cols(); ++j){
std::cout << A(i, j);
if (j + 1 < A.cols()){
std::cout << ", ";
}
}
std::cout << "]";
if (i + 1 < A.rows())
std::cout << "," << std::endl;
}
std::cout << "]" << std::endl;
return true;
}
//--------------------------------------------------------------------------------------------------------------------------
+2 -2
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@@ -51,8 +51,8 @@
* Small vectors and matrices are kept serial because the overhead of starting
* worker threads can be larger than the work itself.
*/
static const panic::types::uint_t add_omp_min_work = 10000;
//static const panic::types::uint_t add_omp_min_work = 10000;
static const panic::types::uint_t add_omp_min_work = 0;
//---------------------------------------------------------------------------------------------------------------------------
// INPLEMENTATION
//---------------------------------------------------------------------------------------------------------------------------
+122
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@@ -0,0 +1,122 @@
/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
*
* 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: random
* File Name: seed.cpp
* Revision: 0.1.0
* Date: 28-06-2026
* Author: Michelle Bausager
*
* Description:
* Defines seed for use in other functions in random/
*
*++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
//---------------------------------------------------------------------------------------------------------------------------
// INCLUDE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
#include <random/seed.hpp>
#include <config/types.hpp>
//---------------------------------------------------------------------------------------------------------------------------
// FUNCTION PROTOTYPE
//---------------------------------------------------------------------------------------------------------------------------
namespace panic{
namespace random{
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::random::seed::seed_t
//
// Description:
// Creates an seed object.
//--------------------------------------------------------------------------------------------------------------------------
seed_t::seed_t(){
value = 1;
}
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::random::seed::seed_t
//
// Description:
// Creates an seed object with a specific seed.
//--------------------------------------------------------------------------------------------------------------------------
seed_t::seed_t(panic::types::uint_t seed){
set(seed);
}
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::random::seed::set_seed
//
// Description:
// Sets the seed to a none-zero value
//--------------------------------------------------------------------------------------------------------------------------
bool seed_t::set(panic::types::uint_t seed){
if (seed == 0){
value = 1;
}else{
value = seed;
}
return 1;
}
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::random::seed::get
//
// Description:
// Returns the seed.
//--------------------------------------------------------------------------------------------------------------------------
panic::types::uint_t seed_t::get(){
return value;
}
//--------------------------------------------------------------------------------------------------------------------------
// Constructor Name : panic::random::seed::state_at
//
// Description:
// Returns a pshodo-random number based on the input index and the seed value.
//--------------------------------------------------------------------------------------------------------------------------
panic::types::uint_t seed_t::state_at(panic::types::uint_t index) const{
panic::types::uint_t state = value + index;
// Mix it a few times so close indexes do not start too similarly.
//next_state(state);
//next_state(state);
//next_state(state);
state ^= state >> 16;
state *= static_cast<panic::types::uint_t>(0x7feb352d);
state ^= state >> 15;
state *= static_cast<panic::types::uint_t>(0x846ca68b);
state ^= state >> 16;
return state;
}
} // namespace tensor
} // namespace panic
+260
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@@ -0,0 +1,260 @@
/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
*
* 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: random
* File Name: uniform.cpp
* Revision: 0.1.0
* Date: 29-06-2026
* Author: Michelle Bausager
*
* Description:
* Defines the dense layers used in neural network
*
*++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
//---------------------------------------------------------------------------------------------------------------------------
// INCLUDE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
#include <random/uniform.hpp>
#include <config/types.hpp>
#include <config/omp.hpp>
#include <random/seed.hpp>
#include <tensor/vector.hpp>
//---------------------------------------------------------------------------------------------------------------------------
// VARIABLE DESCRIPTION
//---------------------------------------------------------------------------------------------------------------------------
static const panic::types::uint_t uniform_omp_min_work = 5000;
static const panic::types::uint_t max_uint_t = ~static_cast<panic::types::uint_t>(0);
static const panic::types::real_t real_max_unit = static_cast<panic::types::real_t>(max_uint_t);
static panic::types::uint_t uniform_state = static_cast<panic::types::uint_t>(1);
//---------------------------------------------------------------------------------------------------------------------------
// FUNCTION PROTOTYPE
//---------------------------------------------------------------------------------------------------------------------------
namespace panic{
namespace random{
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::random::uniform
//
// Description:
// returns a value from a uniform distribution bewteen 0 and 1
//--------------------------------------------------------------------------------------------------------------------------
panic::types::real_t uniform(){
panic::random::seed_t seed;
uniform_state += static_cast<panic::types::uint_t>(1);
seed.set(uniform_state);
return (static_cast<panic::types::real_t>(seed.state_at(seed.get()) / real_max_unit));
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::random::uniform
//
// Description:
// returns a value from a uniform distribution bewteen min and max
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
T uniform(const T min, const T max){
return (min + static_cast<T>(static_cast<panic::types::real_t>((max - min)) * uniform()));
}
//--------------------------------------------------------------------------------------------------------------------------
// EXPLICIT TEMPLATE INSTANTIATION
//
// The implementation is in this .cpp file.
// Build the overload for the official PANIC numeric types.
//--------------------------------------------------------------------------------------------------------------------------
template panic::types::uint_t
uniform<panic::types::uint_t>(const panic::types::uint_t min,
const panic::types::uint_t mix
);
template panic::types::int_t
uniform<panic::types::int_t>(const panic::types::int_t min,
const panic::types::int_t max
);
template panic::types::real_t
uniform<panic::types::real_t>(const panic::types::real_t min,
const panic::types::real_t max
);
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::random::uniform
//
// Description:
// Fills a vector with a uniform distribution
//--------------------------------------------------------------------------------------------------------------------------
bool uniform(panic::tensor::real_vector& a){
panic::random::seed_t seed;
panic::types::uint_t work = a.size();
uniform_state += work;
seed.set(uniform_state);
PANIC_OMP_PARALLEL_FOR_IF(work > uniform_omp_min_work)
for (panic::types::uint_t i = 0; i < work; ++i){
a[i] = (static_cast<panic::types::real_t>(seed.state_at(i)) / real_max_unit);
}
return true;
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::random::uniform
//
// Description:
// Fills a vector with a uniform distribution with limits
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
bool uniform(panic::tensor::vector<T>& a, const T min, const T max){
panic::random::seed_t seed;
panic::types::uint_t work = a.size();
uniform_state += work;
seed.set(uniform_state);
panic::types::real_t temp = static_cast<panic::types::real_t>(max - min);
PANIC_OMP_PARALLEL_FOR_IF(work > uniform_omp_min_work)
for (panic::types::uint_t i = 0; i < work; ++i){
a[i] = min + static_cast<T>((temp*(static_cast<panic::types::real_t>(seed.state_at(i)) / real_max_unit)));
}
return true;
}
//--------------------------------------------------------------------------------------------------------------------------
// EXPLICIT TEMPLATE INSTANTIATION
//
// The implementation is in this .cpp file.
// Build the overload for the official PANIC numeric types.
//--------------------------------------------------------------------------------------------------------------------------
template bool uniform<panic::types::uint_t>(panic::tensor::vector<panic::types::uint_t>& a,
const panic::types::uint_t min,
const panic::types::uint_t mix
);
template bool uniform<panic::types::int_t>(panic::tensor::vector<panic::types::int_t>& a,
const panic::types::int_t min,
const panic::types::int_t max
);
template bool uniform<panic::types::real_t>(panic::tensor::vector<panic::types::real_t>& a,
const panic::types::real_t min,
const panic::types::real_t max
);
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::random::uniform
//
// Description:
// Fills a matrix with a uniform distribution
//--------------------------------------------------------------------------------------------------------------------------
bool uniform(panic::tensor::real_matrix& A){
panic::random::seed_t seed;
panic::types::uint_t rows = A.rows();
panic::types::uint_t cols = A.cols();
panic::types::uint_t work = rows*cols;
uniform_state += work;
seed.set(uniform_state);
PANIC_OMP_PARALLEL_FOR_IF(work > uniform_omp_min_work)
for (panic::types::uint_t i = 0; i < rows; ++i){
for (panic::types::uint_t j = 0; j < cols; ++j){
panic::types::uint_t index = i * cols + j;
A(i,j) = (static_cast<panic::types::real_t>(seed.state_at(index)) / real_max_unit);
}
}
return true;
}
//--------------------------------------------------------------------------------------------------------------------------
// Function Name : panic::random::uniform
//
// Description:
// Fills a matrix with a uniform distribution with limits
//--------------------------------------------------------------------------------------------------------------------------
template <typename T>
bool uniform(panic::tensor::matrix<T>& A, const T min, const T max){
panic::random::seed_t seed;
panic::types::uint_t rows = A.rows();
panic::types::uint_t cols = A.cols();
panic::types::uint_t work = rows*cols;
uniform_state += work;
seed.set(uniform_state);
panic::types::real_t temp = static_cast<panic::types::real_t>(max - min);
PANIC_OMP_PARALLEL_FOR_IF(work > uniform_omp_min_work)
for (panic::types::uint_t i = 0; i < rows; ++i){
for (panic::types::uint_t j = 0; j < cols; ++j){
panic::types::uint_t index = i * cols + j;
A(i,j) = min + static_cast<T>((temp*(static_cast<panic::types::real_t>(seed.state_at(index)) / real_max_unit)));
}
}
return true;
}
//--------------------------------------------------------------------------------------------------------------------------
// EXPLICIT TEMPLATE INSTANTIATION
//
// The implementation is in this .cpp file.
// Build the overload for the official PANIC numeric types.
//--------------------------------------------------------------------------------------------------------------------------
template bool uniform<panic::types::uint_t>(panic::tensor::matrix<panic::types::uint_t>& a,
const panic::types::uint_t min,
const panic::types::uint_t mix
);
template bool uniform<panic::types::int_t>(panic::tensor::matrix<panic::types::int_t>& a,
const panic::types::int_t min,
const panic::types::int_t max
);
template bool uniform<panic::types::real_t>(panic::tensor::matrix<panic::types::real_t>& a,
const panic::types::real_t min,
const panic::types::real_t max
);
} // namespace random
} // namespace panic