Class BatchNormalization

Represents an BatchNormalization normalization layer. This computes the mean variance on the second dimension of the input tensor and normalizes it according to scale and bias tensors.

Inheritance
Object
Layer
BatchNormalization
Inherited Members
Namespace: Unity.Sentis.Layers
Syntax
[Serializable]
public class BatchNormalization : Layer

Constructors

BatchNormalization(String, String, String, String, String, String, Single)

Initializes and returns an instance of BatchNormalization normalization layer.

Declaration
public BatchNormalization(string name, string input, string scale, string bias, string mean, string variance, float epsilon = 1E-05F)
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.
String scale

The name to use for the scale tensor of the layer.
String bias

The name to use for the bias tensor of the layer.
String mean

The name to use for the mean tensor of the layer.
String variance

The name to use for the variance tensor of the layer.
Single epsilon

The epsilon value the layer uses to avoid division by zero. The default value is 1e-5f.

Fields

epsilon

The epsilon value the layer uses to avoid division by zero.

Declaration
public float epsilon
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
Overrides