Input

class Input(dims: Long, name: String) : Layer

This layer is responsible for the input shape of the built model.

First and required layer in org.jetbrains.kotlinx.dl.api.core.Sequential.of method.

Constructors

Input
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fun Input(vararg dims: Long, name: String = "")

Creates Input layer from packedDims representing input data shape.

Functions

build
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fun build(tf: Ops)

Extend this function to define placeholder in layer.

open override fun build(tf: Ops, inputShape: Shape)

Extend this function to define variables in layer.

buildFromInboundLayers
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fun buildFromInboundLayers(tf: Ops)

Extend this function to define variables in layer.

computeOutputShape
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fun computeOutputShape(): Shape

Computes output shape, based on input and Layer type.

open override fun computeOutputShape(inputShape: Shape): Shape

Computes output shape, based on inputShape and Layer type.

computeOutputShapeFromInboundLayers
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open fun computeOutputShapeFromInboundLayers(): TensorShape

Computes output shape, based on input shapes of inbound layers.

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

Builds main layer input transformation with tf. Depends on Layer type.

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

Builds main layer input transformation with tf. Depends on Layer type.

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.

toString
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open override fun toString(): String

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.

input
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lateinit var input: Placeholder<Float>

Placeholder for input data.

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.

packedDims
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var packedDims: LongArray

Input data dimensions. Rank = 3 or 4 for most popular supported cases.

parentModel
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var parentModel: GraphTrainableModel? = null

Model where this layer is used.