Class MaxPool

Represents a MaxPool pooling layer. This calculates an output tensor by pooling the maximum values of the input tensor across its spatial dimensions according to the given pool and stride values.

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

Constructors

MaxPool(String, String, Int32[], Int32[], Int32[], AutoPad)

Initializes and returns an instance of MaxPool pooling layer.

Declaration
public MaxPool(string name, string input, int[] pool, int[] stride, int[] pad, AutoPad autopad = AutoPad.NotSet)
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.
Int32[] pool

The size of the kernel along each spatial axis.
Int32[] stride

The stride along each spatial axis.
Int32[] pad

The lower and upper padding values for each spatial dimension. For example [pad_left, pad_right] for 1D, or [pad_top, pad_bottom, pad_left, pad_right] for 2D.
AutoPad autopad

The auto padding mode of the pool as an AutoPad. The default value is AutoPad.NotSet.

Fields

autopad

The auto padding mode of the pool as an AutoPad.

Declaration
public AutoPad autopad
Field Value
Type Description
AutoPad

pad

The lower and upper padding values for each spatial dimension, [pad_left, pad_right] for 1D, [pad_top, pad_bottom, pad_left, pad_right] for 2D, etc.

If this is null the layer uses a default of [0, 0, ..., 0].

Declaration
public int[] pad
Field Value
Type Description
Int32[]

pool

The size of the kernel along each spatial axis.

Declaration
public int[] pool
Field Value
Type Description
Int32[]

stride

The stride along each spatial axis.

If this is null the layer uses a default of [1, 1, ..., 1].

Declaration
public int[] stride
Field Value
Type Description
Int32[]

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