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
Namespace: Unity.Sentis.Layers
Syntax
[Serializable]
public class HardSwish : Activation

Constructors

HardSwish(String, String)

Initializes and returns an instance of HardSwish activation layer.

Declaration
public HardSwish(string name, string input)
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.

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