Class HardSwish

Represents an element-wise HardSwish activation layer: f(x) = x * max(0, min(1, alpha * x + beta)) = x * HardSigmoid(x, alpha, beta), where alpha = 1/6 and beta = 0.5.

Inheritance

object

Layer

Activation

HardSwish

Inherited Members

Layer.inputs

Layer.name

Layer.outputs

Layer.flags

Layer.ToString()

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 HardSwish : Activation

Constructors

Name	Description
HardSwish(string, string)	Initializes and returns an instance of HardSwish activation layer.

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.