scale

  • namespace: Rindow\NeuralNetworks\Gradient\Func
  • classname: scale

Add a constant value to an array. The following formula returns the result: alpha and beta are scalar values.

  • Y = alpha*X

Methods

scale

$g->scale(
    Variable|Scalar  $alpha,
    Variable|NDArray|ArrayShape $x,
) : Variable

Create and execute the function in the builder method

Arguments

  • alpha: Scale each element of the array by a multiplier.
  • x: The arguments is Variable or NDArray.
use Rindow\Math\Matrix\MatrixOperator;
use Rindow\NeuralNetworks\Builder\NeuralNetworks;
$mo = new MatrixOperator();
$nn = new NeuralNetworks($mo);
$g = $nn->gradient();
$x = $g->Variable([[1,2],[3,4]]);
$y = $nn->with($tape=$g->GradientTape(),function() use ($g,$x) {
    return $g->scale($x,10);
});
echo $mo->toString($y)."\n";