Package io.github.kirstenali.deepj.nn

Class TransformerEncoderLayer

java.lang.Object

io.github.kirstenali.deepj.nn.Module

io.github.kirstenali.deepj.nn.TransformerEncoderLayer

All Implemented Interfaces:

Layer, Trainable

public final class TransformerEncoderLayer
extends Module

Pre-normalized, bidirectional encoder block reusing DeepJ linear layers and LayerNorm.

Constructor Summary

Constructors

Constructor	Description
TransformerEncoderLayer(TransformerEncoderConfig config, Random random, ParameterFactory parameters)

Method Summary

Modifier and Type	Method	Description
protected List<Layer>	children()
Tensor	forward(Tensor input)
Tensor	forward(Tensor input, boolean[][] validTokens)

Methods inherited from class io.github.kirstenali.deepj.nn.Module

buffers, eval, isTraining, parameters, setTraining, train

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.layers.Layer

forward, supportsIncrementalInference

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

zeroGrad

Constructor Details

TransformerEncoderLayer

public TransformerEncoderLayer(TransformerEncoderConfig config,
 Random random,
 ParameterFactory parameters)

Method Details

children

protected List<Layer> children()

Overrides:

children in class Module

forward

public Tensor forward(Tensor input)

forward

public Tensor forward(Tensor input,
 boolean[][] validTokens)