Class Bernoulli

Represents a Bernoulli random layer. This generates an output tensor with values 0 or 1 from a Bernoulli distribution. The input tensor contains the probabilities used for generating the output values.

Inheritance
Object
Layer
RandomLayer
Bernoulli
Inherited Members
Namespace: Unity.Sentis.Layers
Syntax
[Serializable]
public class Bernoulli : RandomLayer

Constructors

Bernoulli(String, String, DataType, Nullable<Single>)

Initializes and returns an instance of Bernoulli random layer.

Declaration
public Bernoulli(string name, string input, DataType dataType, 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.
DataType dataType

The data type of the output as a DataType.
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

dataType

The data type of the output as a DataType.

Declaration
public DataType dataType
Field Value
Type Description
DataType

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