Class RandomNormal

Represents a RandomNormal random layer. This generates an output tensor of a given shape with random values in a normal distribution with given mean and scale, and an optional seed value.

Inheritance

object

Layer

RandomLayer

RandomNormal

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 RandomNormal : RandomLayer

Constructors

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

Fields

Name	Description
mean	The mean of the normal distribution used to generate the output.
scale	The standard deviation of the normal distribution used to generate the output.
shape	The shape for the output tensor as a TensorShape.

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.