Package io.github.kirstenali.deepj.layers.transformer.blocks

Class DeepJNovaTransformerBlock

java.lang.Object

io.github.kirstenali.deepj.layers.transformer.blocks.DeepJNovaTransformerBlock

All Implemented Interfaces:

Layer, Trainable

public final class DeepJNovaTransformerBlock
extends Object

Constructor Summary

Constructors

Constructor	Description
DeepJNovaTransformerBlock(DeepJNovaConfig config, Random random)
DeepJNovaTransformerBlock(DeepJNovaConfig config, Random random, float residualScale)
DeepJNovaTransformerBlock(DeepJNovaConfig config, Random random, float residualScale, ParameterFactory parameters)

Method Summary

Modifier and Type	Method	Description
Tensor	forward(Tensor input)
Tensor	forward(Tensor input, InferenceContext context)
List<Parameter>	parameters()
boolean	supportsIncrementalInference()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface io.github.kirstenali.deepj.training.Trainable

zeroGrad

Constructor Details

DeepJNovaTransformerBlock

public DeepJNovaTransformerBlock(DeepJNovaConfig config,
 Random random)

DeepJNovaTransformerBlock

public DeepJNovaTransformerBlock(DeepJNovaConfig config,
 Random random,
 float residualScale)

DeepJNovaTransformerBlock

public DeepJNovaTransformerBlock(DeepJNovaConfig config,
 Random random,
 float residualScale,
 ParameterFactory parameters)

Method Details

forward

public Tensor forward(Tensor input)

Specified by:

forward in interface Layer

forward

public Tensor forward(Tensor input,
 InferenceContext context)

Specified by:

forward in interface Layer

supportsIncrementalInference

public boolean supportsIncrementalInference()

Specified by:

supportsIncrementalInference in interface Layer

parameters

public List<Parameter> parameters()

Specified by:

parameters in interface Trainable