ones

namespace: Rindow\NeuralNetworks\Gradient\Func
classname: Ones

Create an array filled with ones.

This is a non-backpropagable function.

Methods

ones

$g->ones(
    ArrayShape|array $shape,
    int $dtype,
) : Variable

Create and execute the function in the builder method

Arguments

shape: The arguments is array or ArrayShape.
dtype: constant integer. the array’s data type.

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]],dtype:NDArray::float32);
$c = $nn->with($tape=$g->GradientTape(),function() use ($g,$x) {
    return $g->ones($g->shape($x),NDArray::int32);
});

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