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
Namespace: Unity.Sentis.Layers
Syntax
[Serializable]
public class Multinomial : RandomLayer

Constructors

Multinomial(String, String, Int32, Nullable<Single>)

Initializes and returns an instance of Multinomial random layer.

Declaration
public Multinomial(string name, string input, int count, float? seed)
Parameters
Type Name Description
String name

The name to use for the output tensor of the layer.
String input

The name to use for the probabilities tensor of the layer.
Int32 count

The number of times to sample the input.
Nullable<Single> seed

The optional seed to use for the random number generation. If this is null the layer generates a seed using System.Random().

Fields

count

The number of times to sample the input.

Declaration
public int count
Field Value
Type Description
Int32

Methods

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.

Declaration
public override Tensor Execute(Tensor[] inputTensors, ExecutionContext ctx)
Parameters
Type Name Description
Tensor[] inputTensors
ExecutionContext ctx
Returns
Type Description
Tensor
Overrides

ToString()

Returns a string that represents the Layer.

Declaration
public override string ToString()
Returns
Type Description
String
Overrides