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dlhdl.layer.sliceLayer

Slice layer

Since R2024a

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    Description

    Use sliceLayer objects to divide the input to the layer into an equal number of groups along the channel dimension of the image.

    Creation

    Syntax

    layer = dlhdl.layer.sliceLayer
    layer = dlhdl.layer.sliceLayer('Name'=Name,Name=Value)

    Description

    layer = dlhdl.layer.sliceLayer creates a slice layer.

    layer = dlhdl.layer.sliceLayer('Name'=Name,Name=Value) creates a slice layer with the name Name, and sets additional Groups, and GroupID properties using one or more name-value pair arguments.

    example

    Properties

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    This property is read-only.

    Number of groups to split input features into, specified as a positive integer. The value of this property must be two.

    Example: 2

    This property is read-only.

    ID of group to pass as output, specified as a positive integer. The value of this property must be two.

    Example: 2

    Layer

    Layer name, specified as a character vector or string scalar. For Layer array input, the trainnet and dlnetwork functions automatically assign names to layers with the name "".

    The sliceLayer object stores this property as a character vector.

    Data Types: char | string

    This property is read-only.

    Number of inputs to the layer, returned as 1. This layer accepts a single input only.

    Data Types: double

    This property is read-only.

    Input names, returned as {'in'}. This layer accepts a single input only.

    Data Types: cell

    This property is read-only.

    Number of outputs from the layer, returned as 1. This layer has a single output only.

    Data Types: double

    This property is read-only.

    Output names, returned as {'out'}. This layer has a single output only.

    Data Types: cell

    Examples

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    Create a slice layer with the name "slice1".

    layer = dlhdl.layer.sliceLayer(Name="slice1")
    layer = 
  sliceLayer with properties:

       Name: 'slice1'
     Groups: 2
    GroupId: 2
   Learnable Parameters
    No properties.
   State Parameters
    No properties.
  Show all properties

    Include the slice layer in a Layer array.

     iamgeSize = [20 20 16];
layers = [
                imageInputLayer(imageSize,"Name","imageinput","Normalization","none")
                convolution2dLayer(3,16,"Padding","same")
                dlhdl.layer.sliceLayer(Name="slice",Groups=2,GroupID=2)
                maxPooling2dLayer(3,'Padding','same','Name','pool')]

    layers = 
  4×1 Layer array with layers:

     1   'imageinput'   Image Input              20×20×16 images
     2   ''             2-D Convolution          16 3×3 convolutions with stride [1  1] and padding 'same'
     3   'slice'        dlhdl.layer.sliceLayer   dlhdl.layer.sliceLayer
     4   'pool'         2-D Max Pooling          3×3 max pooling with stride [1  1] and padding 'same'

    Algorithms

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    Version History

    Introduced in R2024a

    See Also

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