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    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
    Syntax
    [Serializable]
    public class RandomNormal : RandomLayer

    Constructors

    RandomNormal(String, Int32[], Single, Single, Nullable<Single>)

    Initializes and returns an instance of RandomNormal random layer.

    Declaration
    public RandomNormal(string name, int[] shape, float mean, float scale, float? seed)
    Parameters
    Type Name Description
    String name

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

    Int32[] shape

    The shape for the output tensor as an array of ints.

    Single mean

    The mean of the normal distribution used to generate the output.

    Single scale

    The standard deviation of the normal distribution used to generate the output.

    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

    mean

    The mean of the normal distribution used to generate the output.

    Declaration
    public float mean
    Field Value
    Type Description
    Single

    scale

    The standard deviation of the normal distribution used to generate the output.

    Declaration
    public float scale
    Field Value
    Type Description
    Single

    shape

    The shape for the output tensor as a TensorShape.

    Declaration
    public TensorShape shape
    Field Value
    Type Description
    TensorShape

    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
    Layer.Execute(Tensor[], ExecutionContext)

    ToString()

    Returns a string that represents the Layer.

    Declaration
    public override string ToString()
    Returns
    Type Description
    String
    Overrides
    Layer.ToString()
    In This Article
    • Constructors
      • RandomNormal(String, Int32[], Single, Single, Nullable<Single>)
    • Fields
      • mean
      • scale
      • shape
    • Methods
      • Execute(Tensor[], ExecutionContext)
      • ToString()
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