Class RandomNormalLike

Represents a RandomNormalLike random layer. This generates an output tensor with the same shape as the input tensor with random values in a normal distribution, with given mean and scale, and an optional seed value.

Inheritance

object

Layer

RandomLayer

RandomNormalLike

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 RandomNormalLike : RandomLayer

Constructors

Name	Description
RandomNormalLike(string, string, float, float, float?)	Initializes and returns an instance of RandomNormalLike 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.

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.