Sequential

class Sequential(layers: List<Layer<*>>) : TrainableLayerSingleInput<Sequential>

Constructors

Sequential
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fun Sequential(vararg layers: Layer<*>)

Functions

cpu
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open override fun cpu(): Sequential
equals
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open operator override fun equals(other: Any?): Boolean
extractTangent
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open override fun extractTangent(output: DTensor, extractor: (DTensor, DTensor) -> DTensor): TrainableComponent.Companion.Tangent
getSingleInput
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open fun getSingleInput(inputs: Array<out DTensor>): DTensor

Helper to check that the layer was called with a single input. Returns that input if successful, else errors.

gpu
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open override fun gpu(): Sequential
hashCode
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open override fun hashCode(): Int
invoke
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abstract operator fun invoke(vararg inputs: DTensor): DTensor
open operator override fun invoke(input: DTensor): DTensor
load
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open override fun load(from: ByteBuffer): Sequential
store
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open override fun store(into: ByteBuffer): ByteBuffer
to
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open fun to(device: Device): OnDevice
trainingStep
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open override fun trainingStep(optim: Optimizer<*>, tangent: Trainable.Tangent): Sequential
withTrainables
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open override fun withTrainables(trainables: List<Trainable<*>>): Sequential
wrap
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open override fun wrap(wrapper: Wrapper): Sequential

The wrap function should return the same static type it is declared on.

Properties

layers
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val layers: List<Layer<*>>
trainables
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open override val trainables: List<Trainable<*>>