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

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 Bernoulli : RandomLayer

Constructors

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

Fields

Name	Description
dataType	The data type of the output as a DataType.

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.