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Wolfram Language & System Documentation Center
PaddingLayer
  • See Also
    • ReshapeLayer
    • NetChain
    • NetGraph
    • NetTrain
    • ArrayPad
  • Related Guides
    • Neural Network Layers
  • Tech Notes
    • Neural Networks in the Wolfram Language
    • See Also
      • ReshapeLayer
      • NetChain
      • NetGraph
      • NetTrain
      • ArrayPad
    • Related Guides
      • Neural Network Layers
    • Tech Notes
      • Neural Networks in the Wolfram Language

PaddingLayer[{{m1,n1},{m2,n2},…}]

represents a net layer that pads an input array with mi elements at the beginning and ni elements at the end at level i of the array.

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Arguments  
Ports  
Options  
Padding  
Properties & Relations  
See Also
Tech Notes
Related Guides
History
Cite this Page
BUILT-IN SYMBOL
  • See Also
    • ReshapeLayer
    • NetChain
    • NetGraph
    • NetTrain
    • ArrayPad
  • Related Guides
    • Neural Network Layers
  • Tech Notes
    • Neural Networks in the Wolfram Language
    • See Also
      • ReshapeLayer
      • NetChain
      • NetGraph
      • NetTrain
      • ArrayPad
    • Related Guides
      • Neural Network Layers
    • Tech Notes
      • Neural Networks in the Wolfram Language

PaddingLayer

PaddingLayer[{{m1,n1},{m2,n2},…}]

represents a net layer that pads an input array with mi elements at the beginning and ni elements at the end at level i of the array.

Details and Options

  • PaddingLayer is typically used inside NetChain, NetGraph, etc.
  • The following optional parameter can be included:
  • Padding 0type of padding to use
  • Possible explicit settings for the Padding option include:
  • valpad with a constant value val
    "Fixed"repetitions of the elements on each boundary
    "Reflected"reflections of the array in the boundary
  • The default option is to pad with the value 0.
  • The Padding value "Fixed" indicates that the rectangles of pixels added at each corner should be copies of the pixels at the corners of the original array.
  • PaddingLayer exposes the following ports for use in NetGraph etc.:
  • "Input"an array of rank 1 or higher
    "Output"an array of rank 1 or higher
  • When it cannot be inferred from other layers in a larger net, the option "Input"{d1,…,dn} can be used to fix the input of PaddingLayer to be an array of dimensions d1×…×dn.
  • PaddingLayer[…][input] explicitly computes the output from applying the layer.
  • PaddingLayer[…][{input1,input2,…}] explicitly computes outputs for each of the inputi.
  • When given a NumericArray as input, the output will be a NumericArray.
  • Options[PaddingLayer] gives the list of default options to construct the layer. Options[PaddingLayer[…]] gives the list of default options to evaluate the layer on some data.
  • Information[PaddingLayer[…]] gives a report about the layer.
  • Information[PaddingLayer[…],prop] gives the value of the property prop of PaddingLayer[…]. Possible properties are the same as for NetGraph.

Examples

open all close all

Basic Examples  (2)

Create a PaddingLayer that pads a vector with zeros:

Create a PaddingLayer that pads a vector with zeros:

Apply the layer to a vector:

Scope  (3)

Arguments  (2)

Create a PaddingLayer that pads a vector with zeros:

The layer threads across a batch of examples:

Create a PaddingLayer that pads a matrix:

Apply the layer to a matrix:

Ports  (1)

Create a PaddingLayer that pads an image encoded as a 3-dimensional array, using "Fixed" padding:

Options  (3)

Padding  (3)

Use -999 as the padding value:

Apply the layer to a vector:

Use the "Fixed" padding method:

Apply the layer to a vector:

Use the "Reflected" padding method:

Apply the layer to a vector:

Properties & Relations  (1)

PaddingLayer is equivalent to ArrayPad:

PaddingLayer also supports the "Fixed" padding type:

See Also

ReshapeLayer  NetChain  NetGraph  NetTrain  ArrayPad

Tech Notes

    ▪
  • Neural Networks in the Wolfram Language

Related Guides

    ▪
  • Neural Network Layers

History

Introduced in 2017 (11.1) | Updated in 2017 (11.2)

Wolfram Research (2017), PaddingLayer, Wolfram Language function, https://reference.wolfram.com/language/ref/PaddingLayer.html (updated 2017).

Text

Wolfram Research (2017), PaddingLayer, Wolfram Language function, https://reference.wolfram.com/language/ref/PaddingLayer.html (updated 2017).

CMS

Wolfram Language. 2017. "PaddingLayer." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2017. https://reference.wolfram.com/language/ref/PaddingLayer.html.

APA

Wolfram Language. (2017). PaddingLayer. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/PaddingLayer.html

BibTeX

@misc{reference.wolfram_2025_paddinglayer, author="Wolfram Research", title="{PaddingLayer}", year="2017", howpublished="\url{https://reference.wolfram.com/language/ref/PaddingLayer.html}", note=[Accessed: 01-December-2025]}

BibLaTeX

@online{reference.wolfram_2025_paddinglayer, organization={Wolfram Research}, title={PaddingLayer}, year={2017}, url={https://reference.wolfram.com/language/ref/PaddingLayer.html}, note=[Accessed: 01-December-2025]}

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