57 lines
1.1 KiB
PHP
57 lines
1.1 KiB
PHP
<?php
|
|
|
|
namespace Rubix\ML\Benchmarks\NeuralNet\ActivationFunctions;
|
|
|
|
use Tensor\Matrix;
|
|
use Rubix\ML\NeuralNet\ActivationFunctions\SoftPlus;
|
|
|
|
/**
|
|
* @Groups({"ActivationFunctions"})
|
|
* @BeforeMethods({"setUp"})
|
|
*/
|
|
class SoftPlusBench
|
|
{
|
|
/**
|
|
* @var \Tensor\Matrix
|
|
*/
|
|
protected $z;
|
|
|
|
/**
|
|
* @var \Tensor\Matrix
|
|
*/
|
|
protected $computed;
|
|
|
|
/**
|
|
* @var \Rubix\ML\NeuralNet\ActivationFunctions\SoftPlus
|
|
*/
|
|
protected $activationFn;
|
|
|
|
public function setUp() : void
|
|
{
|
|
$this->z = Matrix::uniform(500, 500);
|
|
|
|
$this->computed = Matrix::uniform(500, 500);
|
|
|
|
$this->activationFn = new SoftPlus();
|
|
}
|
|
|
|
/**
|
|
* @Subject
|
|
* @Iterations(3)
|
|
* @OutputTimeUnit("milliseconds", precision=3)
|
|
*/
|
|
public function compute() : void
|
|
{
|
|
$this->activationFn->compute($this->z);
|
|
}
|
|
|
|
/**
|
|
* @Subject
|
|
* @Iterations(3)
|
|
* @OutputTimeUnit("milliseconds", precision=3)
|
|
*/
|
|
public function differentiate() : void
|
|
{
|
|
$this->activationFn->differentiate($this->z, $this->computed);
|
|
}
|
|
}
|