Class Mean

Represents an element-wise Mean math operation layer: f(x1, x2 ... xn) = (x1 + x2 ... xn) / n.

This supports numpy-style broadcasting of input tensors.

Inheritance

object

Layer

Broadcast

Mean

Inherited Members

Layer.inputs

Layer.name

Layer.outputs

Layer.flags

Layer.ToString()

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 Mean : Broadcast

Constructors

Name	Description
Mean(string, string[])	Initializes and returns an instance of Mean math operation layer.

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.