RepeatVector

Layer that repeats the input n times.

Input shape: 2D tensor of shape (num_samples, features).

Output shape: 3D tensor of shape (num_samples, n, features).

0.3

Constructors

RepeatVector

fun RepeatVector(n: Int, name: String = "")

Creates RepeatVector object.

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

hasActivation

Returns True, if layer has internal activation function.

inboundLayers

Returns inbound layers.

val n: Int

Repetition factor.

name

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

outboundLayers

Returns outbound layers.

outputShape

Output data tensor shape.

parentModel

Model where this layer is used.