Class Mean
Represents an element-wise Mean math operation layer: f(x1, x2 ... xn) = (x1 + x2 ... xn) / n.
This supports numpy-style broadcasting of input tensors.
Inherited Members
Namespace: Unity.Sentis.Layers
Syntax
[Serializable]
public class Mean : BroadcastConstructors
Mean(String, String[])
Initializes and returns an instance of Mean math operation layer.
Declaration
public Mean(string name, string[] inputs)Parameters
| Type | Name | Description |
|---|---|---|
| String | name | The name to use for the output tensor of the layer. |
| String[] | inputs | The array of names to use for the input tensors 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 |