74 lines
1.6 KiB
PHP
74 lines
1.6 KiB
PHP
<?php
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namespace Rubix\ML\Tests\NeuralNet\Layers;
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use Tensor\Matrix;
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use Rubix\ML\NeuralNet\Layers\Layer;
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use Rubix\ML\NeuralNet\Layers\Input;
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use Rubix\ML\NeuralNet\Layers\Placeholder1D;
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use PHPUnit\Framework\TestCase;
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/**
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* @group Layers
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* @covers \Rubix\ML\NeuralNet\Layers\Placeholder1D
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*/
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class Placeholder1DTest extends TestCase
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{
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/**
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* @var \Tensor\Matrix
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*/
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protected $input;
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/**
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* @var \Rubix\ML\NeuralNet\Layers\Placeholder1D
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*/
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protected $layer;
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/**
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* @before
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*/
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protected function setUp() : void
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{
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$this->input = Matrix::quick([
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[1.0, 2.5],
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[0.1, 0.0],
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[0.002, -6.0],
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]);
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$this->layer = new Placeholder1D(3);
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}
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/**
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* @test
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*/
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public function build() : void
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{
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$this->assertInstanceOf(Placeholder1D::class, $this->layer);
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$this->assertInstanceOf(Input::class, $this->layer);
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$this->assertInstanceOf(Layer::class, $this->layer);
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}
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/**
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* @test
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*/
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public function forwardInfer() : void
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{
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$this->assertEquals(3, $this->layer->width());
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$expected = [
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[1.0, 2.5],
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[0.1, 0.0],
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[0.002, -6.0],
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];
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$forward = $this->layer->forward($this->input);
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$this->assertInstanceOf(Matrix::class, $forward);
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$this->assertEquals($expected, $forward->asArray());
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$infer = $this->layer->infer($this->input);
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$this->assertInstanceOf(Matrix::class, $infer);
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$this->assertEquals($expected, $infer->asArray());
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}
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}
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