Package ai.djl.modality.nlp

Class EncoderDecoder

java.lang.Object

ai.djl.nn.AbstractBaseBlock

ai.djl.nn.AbstractBlock

ai.djl.modality.nlp.EncoderDecoder

All Implemented Interfaces:

Block

public class EncoderDecoder
extends AbstractBlock

EncoderDecoder is a general implementation of the very popular encoder-decoder architecture. This class depends on implementations of Encoder and Decoder to provide encoder-decoder architecture for different tasks and inputs such as machine translation(text-text), image captioning(image-text) etc.

Field Summary

Fields

Modifier and Type	Field	Description
protected Decoder	decoder
protected Encoder	encoder

Fields inherited from class ai.djl.nn.AbstractBlock

children, parameters

Fields inherited from class ai.djl.nn.AbstractBaseBlock

inputNames, inputShapes, outputDataTypes, version

Constructor Summary

Constructors

Constructor	Description
EncoderDecoder(Encoder encoder, Decoder decoder)	Constructs a new instance of EncoderDecoder class with the given Encoder and Decoder.

Method Summary

Modifier and Type	Method	Description
ai.djl.util.PairList<String,Shape>	describeInput()	Returns a PairList of input names, and shapes.
NDList	forward(ParameterStore parameterStore, NDList data, NDList labels, ai.djl.util.PairList<String,Object> params)	A forward call using both training data and labels.
protected NDList	forwardInternal(ParameterStore parameterStore, NDList inputs, boolean training, ai.djl.util.PairList<String,Object> params)	A helper for Block.forward(ParameterStore, NDList, boolean, PairList) after initialization.
Shape[]	getOutputShapes(Shape[] inputShapes)	Returns the expected output shapes of the block for the specified input shapes.
void	initialize(NDManager manager, DataType dataType, Shape... inputShapes)	Initializes the parameters of the block.
void	loadParameters(NDManager manager, DataInputStream is)	Loads the parameters from the given input stream.
void	saveParameters(DataOutputStream os)	Writes the parameters of the block to the given outputStream.

Methods inherited from class ai.djl.nn.AbstractBlock

addChildBlock, addChildBlock, addChildBlockSingleton, addParameter, getChildren, getDirectParameters

Methods inherited from class ai.djl.nn.AbstractBaseBlock

beforeInitialize, cast, clear, forward, forwardInternal, getInputShapes, getOutputDataTypes, getParameters, initializeChildBlocks, isInitialized, loadMetadata, prepare, readInputShapes, saveInputShapes, saveMetadata, setInitializer, setInitializer, setInitializer, toString

Methods inherited from class java.lang.Object

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

Methods inherited from interface ai.djl.nn.Block

forward, freezeParameters, freezeParameters, getOutputShapes

Field Details

encoder

protected Encoder encoder

decoder

protected Decoder decoder

Constructor Details

EncoderDecoder

public EncoderDecoder(Encoder encoder,
 Decoder decoder)

Constructs a new instance of EncoderDecoder class with the given Encoder and Decoder.

Parameters:

encoder - the Encoder

decoder - the Decoder

Method Details

describeInput

public ai.djl.util.PairList<String,Shape> describeInput()

Returns a PairList of input names, and shapes.

Specified by:

describeInput in interface Block

Overrides:

describeInput in class AbstractBaseBlock

Returns:

the PairList of input names, and shapes

forwardInternal

protected NDList forwardInternal(ParameterStore parameterStore,
 NDList inputs,
 boolean training,
 ai.djl.util.PairList<String,Object> params)

A helper for Block.forward(ParameterStore, NDList, boolean, PairList) after initialization.

Specified by:

forwardInternal in class AbstractBaseBlock

Parameters:

parameterStore - the parameter store

inputs - the input NDList

training - true for a training forward pass

params - optional parameters

Returns:

the output of the forward pass

forward

public NDList forward(ParameterStore parameterStore,
 NDList data,
 NDList labels,
 ai.djl.util.PairList<String,Object> params)

A forward call using both training data and labels.

Within this forward call, it can be assumed that training is true.

Specified by:

forward in interface Block

Overrides:

forward in class AbstractBaseBlock

Parameters:

parameterStore - the parameter store

data - the input data NDList

labels - the input labels NDList

params - optional parameters

Returns:

the output of the forward pass

See Also:

• Block.forward(ParameterStore, NDList, boolean, PairList)

initialize

public void initialize(NDManager manager,
 DataType dataType,
 Shape... inputShapes)

Initializes the parameters of the block. This method must be called before calling `forward`.

This method assumes that inputShapes contains encoder and decoder inputs in index 0 and 1 respectively.

Specified by:

initialize in interface Block

Overrides:

initialize in class AbstractBaseBlock

Parameters:

manager - the NDManager to initialize the parameters

dataType - the datatype of the parameters

inputShapes - the shapes of the inputs to the block

getOutputShapes

public Shape[] getOutputShapes(Shape[] inputShapes)

Returns the expected output shapes of the block for the specified input shapes.

Parameters:

inputShapes - the shapes of the inputs

Returns:

the expected output shapes of the block

saveParameters

public void saveParameters(DataOutputStream os)
                    throws IOException

Writes the parameters of the block to the given outputStream.

Specified by:

saveParameters in interface Block

Overrides:

saveParameters in class AbstractBaseBlock

Parameters:

os - the outputstream to save the parameters to

Throws:

IOException - if an I/O error occurs

loadParameters

public void loadParameters(NDManager manager,
 DataInputStream is)
                    throws IOException,
MalformedModelException

Loads the parameters from the given input stream.

Specified by:

loadParameters in interface Block

Overrides:

loadParameters in class AbstractBaseBlock

Parameters:

manager - an NDManager to create the parameter arrays

is - the inputstream that stream the parameter values

Throws:

IOException - if an I/O error occurs

MalformedModelException - if the model file is corrupted or unsupported