Details and Options

NetArrayLayer is typically used in a NetGraph and allows a learned array to be used as an ordinary input to other layers. Without NetArrayLayer, all layer inputs must ultimately be derived from inputs to the entire net.
The array stored by NetArrayLayer will be learned during training.
The constant array stored in NetArrayLayer has the same dimensions as the output of NetArrayLayer.
NetArrayLayer["Array"->array] can be used to give an explicit value of the constant array.
When the constant array is not explicitly specified or is given as Automatic, it is added automatically when NetInitialize or NetTrain is used.
NetArrayLayer["Output"->{d₁,d₂,…}] can be used to fix the output size of the layer, which also fixes the size of the constant array.
The following training parameter can also be included:
LearningRateMultipliers Automatic learning rate multipliers for the array
NetArrayLayer[…][] returns the constant array.
The constant array can also be obtained from an initialized NetArrayLayer using NetExtract[layer,"Array"].
Options[NetArrayLayer] gives the list of default options to construct the layer. Options[NetArrayLayer[…]] gives the list of default options to evaluate the layer on some data.
Information[NetArrayLayer[…]] gives a report about the layer.
Information[NetArrayLayer[…],prop] gives the value of the property prop of NetArrayLayer[…]. Possible properties are the same as for NetGraph.

Examples

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Create an initialized NetArrayLayer with output dimensions specified:

Extract the initialized array:

Create a NetArrayLayer with unspecified output size:

Create a NetArrayLayer with output dimensions specified:

Define a higher-dimensional output:

Specify only some output sizes:

Provide the output sizes directly as an "Output" port specification:

Create a NetArrayLayer with a specific initial value for the array:

Use the array in an elementwise operation in a NetGraph:

Evaluate the graph:

Create a NetArrayLayer with fixed output array that is not changing during the training:

NetArrayLayer does not accept symbolic arrays:

Dimensions of "Array" specification should be consistent with dims specification:

"Output" dimensions need to be fully specified in order to use NetInitialize:

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