AbstractMerge

abstract class AbstractMerge(layerTypeName: String, name: String) : Layer

Layer that adds a list of inputs.

It takes as input a list of tensors, all the same shape, and returns a single tensor (also of the same shape).

Constructors

AbstractMerge
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fun AbstractMerge(layerTypeName: String, name: String = "")

Functions

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

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

invoke
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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.

Properties

hasActivation
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open override val hasActivation: Boolean

Returns True, if layer has internal activation function.

inboundLayers
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var inboundLayers: MutableList<Layer>

Returns inbound layers.

layerTypeName
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val layerTypeName: String

Specified layer name used for tf operation alias building.

name
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var name: String

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

outboundLayers
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var outboundLayers: MutableList<Layer>

Returns outbound layers.

outputShape
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lateinit var outputShape: TensorShape

Output data tensor shape.

parentModel
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var parentModel: GraphTrainableModel? = null

Model where this layer is used.

Inheritors

Add
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Average
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Concatenate
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Dot
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Maximum
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Minimum
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Multiply
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Subtract
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