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    Class ThresholdedRelu

    Represents an element-wise ThresholdedRelu activation layer: f(x) = x if x > alpha, otherwise f(x) = 0.

    Inheritance
    Object
    Layer
    Activation
    ThresholdedRelu
    Inherited Members
    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 ThresholdedRelu : Activation

    Constructors

    ThresholdedRelu(String, String, Single)

    Initializes and returns an instance of ThresholdedRelu activation layer.

    Declaration
    public ThresholdedRelu(string name, string input, float alpha)
    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 input tensor of the layer.

    Single alpha

    The alpha value to use for the ThresholdedRelu activation function.

    Fields

    alpha

    The alpha value to use for the ThresholdedRelu activation function.

    Declaration
    public float alpha
    Field Value
    Type Description
    Single

    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()
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