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© 2026 Dystr · Made withfor the scientific community.

RunMat™ is a registered trademark of Dystr, Inc. MATLAB® is a registered trademark of The MathWorks, Inc. RunMat is not affiliated with, endorsed by, or sponsored by The MathWorks, Inc.

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Builtin Reference
    • adamupdate
    • analyzeNetwork
    • bilstmLayer
    • classificationLayer
    • combvec
    • convolution1dLayer
    • crossentropy
    • dlarray
    • dlfeval
    • dlgradient
    • dlnetwork
    • dlupdate
    • eluLayer
    • exportONNXNetwork
    • featureInputLayer
    • forward
    • fullyConnectedLayer
    • globalAveragePooling1dLayer
    • layerGraph
    • layerNormalizationLayer
    • lstmLayer
    • padsequences
    • regressionLayer
    • reluLayer
    • sequenceInputLayer
    • softmaxLayer
    • trainingOptions
    • trainnet
    • trainNetwork

featureInputLayer — Create a feature input layer compatibility object.

featureInputLayer(inputSize) creates host metadata for feature-input network definitions.

Syntax

layer = featureInputLayer(inputSize)
layer = featureInputLayer(inputSize, Name, Value)

How featureInputLayer works

  • inputSize may be a positive integer scalar or numeric vector of positive integers.
  • Name, Description, Normalization, and other common name-value options are stored as properties.

GPU memory and residency

Layer construction is host metadata work and has no provider kernel.

Example

Create Feature Input

layer = featureInputLayer(4, 'Name', 'features')

Expected output:

`layer.InputSize` stores `4`.

Using featureInputLayer with coding agents

Open a RunMat example with live inputs, then ask the agent to explain how featureInputLayer changes the result.

Run a small featureInputLayer example, explain the result, then change one input and compare the output.

Related Deep Learning functions

adamupdate · analyzeNetwork · bilstmLayer · classificationLayer · combvec · convolution1dLayer · crossentropy · dlarray · dlfeval · dlgradient · dlnetwork · dlupdate · eluLayer · exportONNXNetwork · forward · fullyConnectedLayer · globalAveragePooling1dLayer · layerGraph · layerNormalizationLayer · lstmLayer · padsequences · regressionLayer · reluLayer · sequenceInputLayer · softmaxLayer · trainingOptions · trainnet · trainNetwork

About RunMat

RunMat is an open-source runtime that executes MATLAB-syntax code blazing on any GPU. It is licensed under the Apache 2.0 license.

  • RunMat automatically optimizes your math for GPU execution on Apple, Nvidia, and AMD hardware. No code changes needed. Simulations that took hours now take minutes.
  • Start running code in seconds. RunMat runs in the browser, on the desktop, or from the CLI. No license server, no IT ticket.

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On this page
  • Syntax
  • How featureInputLayer works
  • GPU memory and residency
  • Example
  • Create Feature Input
  • Using featureInputLayer with coding agents
  • Related Deep Learning functions
  • About RunMat