GlobalAvgPool3D

class GlobalAvgPool3D(name: String) : Layer

Global Average pooling operation for 3D data.

NOTE: Works with tensors which must have rank 5 (batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels).

Input shape: 5D tensor with shape (batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels). Output shape: 2D tensor with shape (batch_size, channels).

Since

0.3

Constructors

GlobalAvgPool3D

fun GlobalAvgPool3D(name: String = "")

Creates GlobalAvgPool3D object.

Functions

build

open override fun build(tf: Ops, input: Operand<Float>, isTraining: Operand<Boolean>, numberOfLosses: Operand<Float>?): Operand<Float>

open fun build(tf: Ops, input: List<Operand<Float>>, isTraining: Operand<Boolean>, numberOfLosses: Operand<Float>?): Operand<Float>

Extend this function to define variables in the layer and compute layer output.

invoke

operator fun invoke(vararg layers: Layer): Layer

Important part of functional API. It takes layers as input and saves them to the inboundLayers of the given layer.

toString

open override fun toString(): String

Properties

hasActivation

open override val hasActivation: Boolean

Returns True, if layer has internal activation function.

inboundLayers

var inboundLayers: MutableList<Layer>

Returns inbound layers.

name

var name: String

Layer name. A new name is generated during model compilation when provided name is empty.

outboundLayers

var outboundLayers: MutableList<Layer>

Returns outbound layers.

outputShape

lateinit var outputShape: TensorShape

Output data tensor shape.

parentModel

var parentModel: GraphTrainableModel? = null

Model where this layer is used.