142 lines
3.5 KiB
PHP
142 lines
3.5 KiB
PHP
<?php
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namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
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use Tensor\Matrix;
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use Rubix\ML\NeuralNet\ActivationFunctions\ELU;
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use Rubix\ML\NeuralNet\ActivationFunctions\ActivationFunction;
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use PHPUnit\Framework\TestCase;
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use Rubix\ML\Exceptions\InvalidArgumentException;
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use Generator;
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/**
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* @group ActivationFunctions
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* @covers \Rubix\ML\NeuralNet\ActivationFunctions\ELU
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*/
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class ELUTest extends TestCase
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{
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/**
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* @var \Rubix\ML\NeuralNet\ActivationFunctions\ELU
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*/
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protected $activationFn;
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/**
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* @before
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*/
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protected function setUp() : void
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{
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$this->activationFn = new ELU(1.0);
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}
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/**
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* @test
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*/
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public function build() : void
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{
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$this->assertInstanceOf(ELU::class, $this->activationFn);
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$this->assertInstanceOf(ActivationFunction::class, $this->activationFn);
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}
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/**
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* @test
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*/
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public function badAlpha() : void
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{
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$this->expectException(InvalidArgumentException::class);
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new ELU(-346);
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}
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/**
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* @test
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* @dataProvider computeProvider
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*
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* @param \Tensor\Matrix $input
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* @param array[] $expected
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*/
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public function compute(Matrix $input, array $expected) : void
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{
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$activations = $this->activationFn->compute($input)->asArray();
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$this->assertEquals($expected, $activations);
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}
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/**
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* @return \Generator<array>
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*/
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public function computeProvider() : Generator
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{
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yield [
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Matrix::quick([
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[1.0, -0.5, 0.0, 20.0, -10.0]
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]),
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[
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[1.0, -0.3934693402873666, 0.0, 20.0, -0.9999546000702375],
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],
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];
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yield [
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Matrix::quick([
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[-0.12, 0.31, -0.49],
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[0.99, 0.08, -0.03],
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[0.05, -0.52, 0.54],
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]),
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[
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[-0.11307956328284252, 0.31, -0.3873736058155839],
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[0.99, 0.08, -0.029554466451491845],
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[0.05, -0.4054794520298056, 0.54],
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],
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];
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}
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/**
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* @test
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* @dataProvider differentiateProvider
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*
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* @param \Tensor\Matrix $input
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* @param \Tensor\Matrix $activations
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* @param array[] $expected
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*/
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public function differentiate(Matrix $input, Matrix $activations, array $expected) : void
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{
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$derivatives = $this->activationFn->differentiate($input, $activations)->asArray();
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$this->assertEquals($expected, $derivatives);
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}
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/**
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* @return \Generator<array>
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*/
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public function differentiateProvider() : Generator
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{
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yield [
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Matrix::quick([
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[1.0, -0.5, 0.0, 20.0, -10.0],
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]),
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Matrix::quick([
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[1.0, -0.3934693402873666, 0.0, 20.0, -0.9999546000702375],
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]),
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[
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[1.0, 0.6065306597126334, 1.0, 1.0, 4.539992976249074E-5],
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],
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];
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yield [
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Matrix::quick([
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[-0.12, 0.31, -0.49],
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[0.99, 0.08, -0.03],
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[0.05, -0.52, 0.54],
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]),
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Matrix::quick([
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[-0.11307956328284252, 0.31, -0.3873736058155839],
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[0.99, 0.08, -0.029554466451491845],
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[0.05, -0.4054794520298056, 0.54],
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]),
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[
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[0.8869204367171575, 1.0, 0.6126263941844161],
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[1.0, 1.0, 0.9704455335485082],
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[1.0, 0.5945205479701944, 1.0],
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],
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];
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}
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}
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