Class HardSigmoid

Represents an element-wise HardSigmoid activation layer: f(x) = clamp(alpha * x + beta, 0, 1).

Inheritance
Object
Layer
Activation
HardSigmoid
Inherited Members
Namespace: Unity.Sentis.Layers
Syntax
[Serializable]
public class HardSigmoid : Activation

Constructors

HardSigmoid(String, String, Single, Single)

Initializes and returns an instance of HardSigmoid activation layer.

Declaration
public HardSigmoid(string name, string input, float alpha = 0.2F, float beta = 0.5F)
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 HardSigmoid activation function. The default value is 0.1.
Single beta

The beta value to use for the HardSigmoid activation function. The default value is 0.5.

Fields

alpha

The alpha value to use for the HardSigmoid activation function.

Declaration
public float alpha
Field Value
Type Description
Single

beta

The beta value to use for the HardSigmoid activation function.

Declaration
public float beta
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

ToString()

Returns a string that represents the Layer.

Declaration
public override string ToString()
Returns
Type Description
String
Overrides