Class ScalarMad
Represents an element-wise Mad
math operation: multiplies and adds bias to a tensor: f(T, s, b) = s * T + b.
Inherited Members
Namespace: Unity.Sentis.Layers
Syntax
[Serializable]
public class ScalarMad : Activation
Constructors
ScalarMad(String, String, Single, Single)
Initializes and returns an instance of ScalarMad
math layer.
Declaration
public ScalarMad(string name, string input, float s, float b)
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 | s | Input scalar for multiplication. |
Single | b | Input bias for addition. |
Fields
b
Input bias for addition.
Declaration
public float b
Field Value
Type | Description |
---|---|
Single |
s
Input scalar for multiplication.
Declaration
public float s
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 |