• namespace: Rindow\NeuralNetworks\Layer
• classname: EinsumDense

Just your regular densely-connected Neural Networks layer.

EinsumDense implements the operation:

• output := einsum(equation,input,kernel) + bias

Methods

constructor

$builer->EinsumDense(
        string $equation,
        int|array $output_shape,
        ?array $input_shape=null,
        string|Activation|null $activation=null,
        ?string $bias_axes=null,
        string|callable|null $kernel_initializer=null,
        string|callable|null $bias_initializer=null,
        ?string $name=null,
)

You can create a EinsumDense layer instances with the Layer Builder.

Arguments

• equation: Equation String.
• output_shape: Output shape. the batch dimension is not included.

Options

• input_shape: Specify the first layer the shape of the input data. In input_shape, the batch dimension is not included.
• activation: Activation function. Default is nothing.
• bias_axes: Bias axes. Default is not use bias.
• kernel_initializer: name of kernel initializer
• bias_initializer: name of bias initializer

Examples

$dense = $nn->layers()->EinsumDense(
    'ab,bc->ac',
    [256],
);
...
$x = $g->Variable([[0.1,0.2,0.3],[0.4,0.5,0.6]]);
...
$output = $dense->forward($x);