PHP Classes

File: CLASSES/testMulitplicationMultithreaded.php

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  Classes of Cuthbert Martin Lwinga   PHP Neural Net Library   CLASSES/testMulitplicationMultithreaded.php   Download  
File: CLASSES/testMulitplicationMultithreaded.php
Role: Example script
Content type: text/plain
Description: Example script
Class: PHP Neural Net Library
Build, train, evaluate, and use neural networks
Author: By
Last change:
Date: 5 months ago
Size: 2,822 bytes
 

Contents

Class file image Download
<?php
include_once("Headers.php");
include_once(
"Threads.php");

use
NameSpaceNumpyLight\NumpyLight;
use
NameSpaceRandomGenerator\RandomGenerator;
use
NameSpaceActivationSigmoid\Activation_Sigmoid;
use
ProcessManager\ProcessManager;
use
NameSpaceArrayFileHandler\ArrayFileHandler;
use
NameSpaceQueue\Queue;
use
NameSpaceTaskRegistry\TaskRegistry;
use
NameSpaceThreads\Threads;
function
generateRandomMatrix($rows, $cols, $min = 0.0, $max = 1.0) {
   
$matrix = [];

    for (
$i = 0; $i < $rows; $i++) {
       
$row = [];
        for (
$j = 0; $j < $cols; $j++) {
           
$row[] = $min + mt_rand() / mt_getrandmax() * ($max - $min);
        }
       
$matrix[] = $row;
    }

    return
$matrix;
}


function
calculateMatrixSize($matrix) {
   
$totalBytes = 0;

    foreach (
$matrix as $rowIndex => $row) {
       
// Convert each element to a string and calculate the length
       
foreach ($row as $element) {
           
$totalBytes += strlen((string) $element);
        }

       
// Add bytes for column separators (','), one less than the number of elements in a row
       
if (count($row) > 0) {
           
$totalBytes += count($row) - 1;
        }

       
// Add bytes for row separator ('@'), except for the last row
       
if ($rowIndex < count($matrix) - 1) {
           
$totalBytes += 1;
        }
    }

    return
$totalBytes;
}
// Example usage:
$rows = 100; // Number of rows
$cols = 100; // Number of columns
$min = 0.1; // Minimum float value
$max = 0.8; // Maximum float value
echo "\nSTARTING PROGRAM....\n";
$matrixA = generateRandomMatrix($rows=300, $cols=1000, $min = 0.1, $max = 0.2) ;
$matrixB = generateRandomMatrix($rows=1000, $cols=1000, $min = 0.1, $max = 0.2) ;



// $matrixB = generateRandomMatrix($rows=512, $cols=512, $min, $max);


$startTime = microtime(true); // Start time
// NumpyLight::dot($matrixA,$matrixB);0.15455293655396 seconds
NumpyLight::dot($matrixA,$matrixB);

           
$endTime = microtime(true); // End time
           
$executionTime = $endTime - $startTime; // Calculate execution time
           
echo "Task dot with normal operation with caller function test executed time $executionTime seconds.\n";





// function testbackground($he=1){
// mt_srand(); // Seed the random number generator
// $randomNumber = mt_rand(0, 4);
// echo "\n $he will sleep for $randomNumber s\n";
// sleep($randomNumber);
// echo "\n $he woke up\n";
// }

// Threads::addTask("testbackground",[1]);
// Threads::addTask("testbackground",[2]);
// Threads::addTask("testbackground",[3]);
// Threads::addTask("testbackground",[4]);
// Threads::addTask("testbackground",[5]);
// Threads::addTask("testbackground",[6]);
// Threads::addTask("testbackground",[7]);
// Threads::addTask("testbackground",[8]);
// Threads::run(10);
// echo "\n\n all done \n\n";

?>