Class Multinomial

Represents a Multinomial random layer. This generates an output tensor with values from a multinomial distribution according to the probabilities given by the input tensor.

Inheritance

object

Layer

RandomLayer

Multinomial

Inherited Members

RandomLayer.hasSeed

RandomLayer.seed

RandomLayer.NextSeed

RandomLayer.ResetSeed()

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 Multinomial : RandomLayer

Constructors

Name	Description
Multinomial(string, string, int, float?)	Initializes and returns an instance of Multinomial random layer.

Fields

Name	Description
count	The number of times to sample the input.

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.