Cropping2D

class Cropping2D(cropping: Array<IntArray>, name: String) : AbstractCropping

Cropping layer for 2D data (e.g. images)

Crops input along the second and third dimensions (i.e. spatial dimensions).

Input shape: 4D tensor with shape (batch_size, rows, cols, channels).

Output shape: 4D tensor with shape (batch_size, cropped_rows, cropped_cols, channels).

Constructors

Cropping2D

fun Cropping2D(cropping: Array<IntArray>, name: String = "")

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

cropping

val cropping: Array<IntArray>

An array consisting of two integer arrays of size two which are interpreted as [[top_crop, bottom_crop], [left_crop, right_crop]].

croppingInternal

val croppingInternal: Array<IntArray>

Cropping size values; currently, they are not used in the implementation of this abstract class and each subclassed layer uses its own copy of the cropping size values.

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.