Package ai.djl.nn.transformer

Class ScaledDotProductAttentionBlock.Builder

java.lang.Object

ai.djl.nn.transformer.ScaledDotProductAttentionBlock.Builder

Enclosing class:

ScaledDotProductAttentionBlock

public static final class ScaledDotProductAttentionBlock.Builder
extends java.lang.Object

A builder for ScaledDotProductAttentionBlocks.

Method Summary

Modifier and Type	Method	Description
ScaledDotProductAttentionBlock	build()	Creates a new ScaledDotProductAttentionBlock with the current configuration.
ScaledDotProductAttentionBlock.Builder	optAttentionProbsDropoutProb(float attentionProbsDropoutProb)	Sets the probability of applying dropout to the attention probability distribution.
ScaledDotProductAttentionBlock.Builder	setEmbeddingSize(int embeddingSize)	Sets the embedding Size to be used for the internal token representation.
ScaledDotProductAttentionBlock.Builder	setHeadCount(int headCount)	Sets the number of attention Heads, must divide the embedding size without rest.

Methods inherited from class java.lang.Object

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

Method Detail

setEmbeddingSize

public ScaledDotProductAttentionBlock.Builder setEmbeddingSize(int embeddingSize)

Sets the embedding Size to be used for the internal token representation.

Parameters:

embeddingSize - the embedding Size to be used for the internal token representation.

Returns:

this builder

setHeadCount

public ScaledDotProductAttentionBlock.Builder setHeadCount(int headCount)

Sets the number of attention Heads, must divide the embedding size without rest. I.e. if embeddingSize = 10, a headCount of 3 would not be valid, a headCount of 1, 2 or 5 would be.

Parameters:

headCount - the number of attention Heads

Returns:

this builder

optAttentionProbsDropoutProb

public ScaledDotProductAttentionBlock.Builder optAttentionProbsDropoutProb(float attentionProbsDropoutProb)

Sets the probability of applying dropout to the attention probability distribution. This dropout can randomly remove a complete token from the result at a position.

Parameters:

attentionProbsDropoutProb - the probability of applying dropout to the attention probability distribution

Returns:

this builder

build

public ScaledDotProductAttentionBlock build()

Creates a new ScaledDotProductAttentionBlock with the current configuration.

Returns:

a new ScaledDotProductAttentionBlock with the current configuration.