Class LayerNormalization

Represents an LayerNormalization normalization layer. This computes the mean variance on the last dimension of the input tensor and normalizes it according to scale and bias tensors.

Inheritance

object

Layer

LayerNormalization

Inherited Members

Layer.inputs

Layer.name

Layer.outputs

Layer.flags

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Namespace: Unity.Sentis.Layers

Assembly: solution.dll

Syntax

[Serializable]
public class LayerNormalization : Layer

Constructors

Name	Description
LayerNormalization(string, string, string, string, float)	Initializes and returns an instance of LayerNormalization normalization layer.

Fields

Name	Description
epsilon	The epsilon value the layer uses to avoid division by zero.

Methods

Name	Description
Execute(Tensor[], ExecutionContext)	Executes the layer using the operations and variables from the ExecutionContext and returns the output tensor. If the layer has more than one output, output tensors are saved to variables.
ToString()	Returns a string that represents the Layer.