Flatten Layer - Flatten layer - Simulink (original) (raw)

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Flatten layer

Since R2024b

Libraries:
Deep Learning Toolbox / Deep Learning Layers / Sequence Layers

Description

The Flatten Layer block collapses the spatial dimensions of layer input into the channel dimension.

For example, if the input to the layer is an_H_-by-_W_-by-_C_-by-_N_-by-S array (sequences of images), then the flattened output is an (H*W*C)-by-_N_-by-S array.

The exportNetworkToSimulink function generates this block to represent a flattenLayer object.

Ports

Input

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Input data to flatten.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | fixed point

Output

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Flattened output data. The output data collapses the spatial dimensions of the input data into the channel dimension.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | fixed point

Parameters

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To edit block parameters interactively, use theProperty Inspector. From the Simulink® Toolstrip, on the Simulation tab, in thePrepare gallery, select Property Inspector.

Main

Size of the flattened output matrix, specified as an array of positive scalars. To determine the activation output of a flattenLayer object, you can use the analyzeNetwork function and ignore the batch (B) dimension.

Programmatic Use

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64

Execution

Specify the discrete interval between sample time hits or specify another type of sample time, such as continuous (0) or inherited (-1). For more options, see Types of Sample Time (Simulink).

By default, the block inherits its sample time based on the context of the block within the model.

Programmatic Use

To set the block parameter value programmatically, use the set_param (Simulink) function.

Extended Capabilities

Version History

Introduced in R2024b