Enable JavaScript to interact with content and submit forms on Wolfram websites. Learn how

SummationLayer

SummationLayer[]

represents a net layer that sums all of its input elements.

Details and Options

SummationLayer[…][input] explicitly computes the output from applying the layer.
SummationLayer[…][{input₁,input₂,…}] explicitly computes outputs for each of the input_i.
SummationLayer exposes the following ports for use in NetGraph etc.:
"Input" an array of arbitrary rank

"Output" a real number
SummationLayer is typically used inside NetChain, NetGraph, etc.
When it cannot be inferred from other layers in a larger net, the option "Input"->{n₁,n₂,…} can be used to fix the input dimensions of SummationLayer.
Options[SummationLayer] gives the list of default options to construct the layer. Options[SummationLayer[…]] gives the list of default options to evaluate the layer on some data.
Information[SummationLayer[…]] gives a report about the layer.
Information[SummationLayer[…],prop] gives the value of the property prop of SummationLayer[…]. Possible properties are the same as for NetGraph.

Examples

open allclose all

Basic Examples (2)

Create a SummationLayer:

Create a SummationLayer with vector input of size 4:

Apply this layer to an input:

Scope (1)

Ports (1)

Create a SummationLayer that takes an input array of dimensions 2×3×1:

Apply this layer to an input:

The layer threads across a batch of examples:

Properties & Relations (2)

SummationLayer computes:

Evaluate on some data:

SummationLayer[] is equivalent to AggregationLayer[Total,All]:

Possible Issues (1)

SummationLayer cannot accept symbolic inputs:

Top