activationFn = new ThresholdedReLU(0.1); } /** * @test */ public function build() : void { $this->assertInstanceOf(ThresholdedReLU::class, $this->activationFn); $this->assertInstanceOf(ActivationFunction::class, $this->activationFn); } /** * @test * @dataProvider computeProvider * * @param \Tensor\Matrix $input * @param array[] $expected */ public function compute(Matrix $input, array $expected) : void { $activations = $this->activationFn->compute($input)->asArray(); $this->assertEquals($expected, $activations); } /** * @return \Generator */ public function computeProvider() : Generator { yield [ Matrix::quick([ [1.0, -0.5, 0.0, 20.0, -10.0], ]), [ [1.0, 0.0, 0.0, 20.0, 0.0], ], ]; yield [ Matrix::quick([ [-0.12, 0.31, -0.49], [0.99, 0.08, -0.03], [0.05, -0.52, 0.54], ]), [ [0.0, 0.31, 0.0], [0.99, 0.0, 0.0], [0.0, 0.0, 0.54], ], ]; } /** * @test * @dataProvider differentiateProvider * * @param \Tensor\Matrix $input * @param \Tensor\Matrix $activations * @param array[] $expected */ public function differentiate(Matrix $input, Matrix $activations, array $expected) : void { $derivatives = $this->activationFn->differentiate($input, $activations)->asArray(); $this->assertEquals($expected, $derivatives); } /** * @return \Generator */ public function differentiateProvider() : Generator { yield [ Matrix::quick([ [1.0, -0.5, 0.0, 20.0, -10.0], ]), Matrix::quick([ [1.0, 0.0, 0.0, 20.0, 0.0], ]), [ [1, 0, 0, 1, 0], ], ]; yield [ Matrix::quick([ [-0.12, 0.31, -0.49], [0.99, 0.08, -0.03], [0.05, -0.52, 0.54], ]), Matrix::quick([ [0.0, 0.31, 0.0], [0.99, 0.0, 0.0], [0.0, 0.0, 0.54], ]), [ [0, 1, 0], [1, 0, 0], [0, 0, 1], ], ]; } }