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 |