Package ai.djl.nn
Class AbstractBaseBlock
- java.lang.Object
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- ai.djl.nn.AbstractBaseBlock
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- All Implemented Interfaces:
Block
- Direct Known Subclasses:
AbstractBlock,AbstractSymbolBlock
public abstract class AbstractBaseBlock extends java.lang.Object implements Block
This provides shared functionality for both the DJL-basedAbstractBlocks and the importedAbstractSymbolBlocks.
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Field Summary
Fields Modifier and Type Field Description protected java.util.List<java.lang.String>inputNamesList of names for the input, named inputs should be manually set in sub class.protected Shape[]inputShapesThe shape of the input for this block, set by the initialization process.protected DataType[]outputDataTypesprotected byteversionThe model version of this block, used for checking if parameters are still valid during parameter loading.
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Constructor Summary
Constructors Constructor Description AbstractBaseBlock()Constructs a newAbstractBaseBlockinstance.AbstractBaseBlock(byte version)Builds an empty block with the given version for parameter serialization.
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Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description protected voidbeforeInitialize(Shape... inputShapes)Performs any action necessary before initialization.voidcast(DataType dataType)Guaranteed to throw an exception.voidclear()Closes all the parameters of the block.ai.djl.util.PairList<java.lang.String,Shape>describeInput()Returns aPairListof input names, and shapes.NDListforward(ParameterStore parameterStore, NDList inputs, boolean training, ai.djl.util.PairList<java.lang.String,java.lang.Object> params)Applies the operating function of the block once.NDListforward(ParameterStore parameterStore, NDList data, NDList labels, ai.djl.util.PairList<java.lang.String,java.lang.Object> params)A forward call using both training data and labels.protected abstract NDListforwardInternal(ParameterStore parameterStore, NDList inputs, boolean training, ai.djl.util.PairList<java.lang.String,java.lang.Object> params)A helper forBlock.forward(ParameterStore, NDList, boolean, PairList)after initialization.protected NDListforwardInternal(ParameterStore parameterStore, NDList data, NDList labels, ai.djl.util.PairList<java.lang.String,java.lang.Object> params)A helper forBlock.forward(ParameterStore, NDList, NDList, PairList)after initialization.Shape[]getInputShapes()Returns the input shapes of the block.DataType[]getOutputDataTypes()Returns the input dataTypes of the block.ParameterListgetParameters()Returns a list of all the parameters of the block, including the parameters of its children fetched recursively.voidinitialize(NDManager manager, DataType dataType, Shape... inputShapes)Initializes the parameters of the block, set require gradient if required and infer the block inputShape.protected voidinitializeChildBlocks(NDManager manager, DataType dataType, Shape... inputShapes)Initializes the Child blocks of this block.booleanisInitialized()Returns a boolean whether the block is initialized (block has inputShape and params have nonNull array).protected voidloadMetadata(byte loadVersion, java.io.DataInputStream is)Overwrite this to load additional metadata with the parameter values.voidloadParameters(NDManager manager, java.io.DataInputStream is)Loads the parameters from the given input stream.protected voidprepare(Shape[] inputShapes)Sets the shape ofParameters.protected voidreadInputShapes(java.io.DataInputStream is)protected voidsaveInputShapes(java.io.DataOutputStream os)protected voidsaveMetadata(java.io.DataOutputStream os)Override this method to save additional data apart from parameter values.voidsaveParameters(java.io.DataOutputStream os)Writes the parameters of the block to the given outputStream.voidsetInitializer(Initializer initializer, Parameter.Type params)Sets anInitializerto all the parameters that match parameter type in the block.voidsetInitializer(Initializer initializer, java.lang.String paramName)Sets anInitializerto the specified direct parameter of the block, overriding the initializer of the parameter, if already set.voidsetInitializer(Initializer initializer, java.util.function.Predicate<Parameter> predicate)Sets anInitializerto all the parameters that match Predicate in the block.java.lang.StringtoString()-
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface ai.djl.nn.Block
forward, freezeParameters, freezeParameters, getChildren, getDirectParameters, getOutputShapes, getOutputShapes
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Field Detail
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version
protected byte version
The model version of this block, used for checking if parameters are still valid during parameter loading.
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inputShapes
protected Shape[] inputShapes
The shape of the input for this block, set by the initialization process.
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outputDataTypes
protected DataType[] outputDataTypes
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inputNames
protected java.util.List<java.lang.String> inputNames
List of names for the input, named inputs should be manually set in sub class.
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Constructor Detail
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AbstractBaseBlock
public AbstractBaseBlock()
Constructs a newAbstractBaseBlockinstance.
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AbstractBaseBlock
public AbstractBaseBlock(byte version)
Builds an empty block with the given version for parameter serialization.- Parameters:
version- the version to use for parameter serialization.
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Method Detail
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forward
public final NDList forward(ParameterStore parameterStore, NDList inputs, boolean training, ai.djl.util.PairList<java.lang.String,java.lang.Object> params)
Applies the operating function of the block once. This method should be called only on blocks that are initialized.
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forward
public NDList forward(ParameterStore parameterStore, NDList data, NDList labels, ai.djl.util.PairList<java.lang.String,java.lang.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:
forwardin interfaceBlock- Parameters:
parameterStore- the parameter storedata- the input data NDListlabels- the input labels NDListparams- optional parameters- Returns:
- the output of the forward pass
- See Also:
Block.forward(ParameterStore, NDList, boolean, PairList)
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forwardInternal
protected abstract NDList forwardInternal(ParameterStore parameterStore, NDList inputs, boolean training, ai.djl.util.PairList<java.lang.String,java.lang.Object> params)
A helper forBlock.forward(ParameterStore, NDList, boolean, PairList)after initialization.- Parameters:
parameterStore- the parameter storeinputs- the input NDListtraining- true for a training forward passparams- optional parameters- Returns:
- the output of the forward pass
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forwardInternal
protected NDList forwardInternal(ParameterStore parameterStore, NDList data, NDList labels, ai.djl.util.PairList<java.lang.String,java.lang.Object> params)
A helper forBlock.forward(ParameterStore, NDList, NDList, PairList)after initialization.- Parameters:
parameterStore- the parameter storedata- the input data NDListlabels- the input labels NDListparams- optional parameters- Returns:
- the output of the forward pass
- See Also:
forward(ParameterStore, NDList, boolean, PairList)
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describeInput
public ai.djl.util.PairList<java.lang.String,Shape> describeInput()
Returns aPairListof input names, and shapes.- Specified by:
describeInputin interfaceBlock- Returns:
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PairListof input names, and shapes
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setInitializer
public void setInitializer(Initializer initializer, Parameter.Type params)
Sets anInitializerto all the parameters that match parameter type in the block.- Specified by:
setInitializerin interfaceBlock- Parameters:
initializer- the initializer to setparams- the Parameter Type we want to setInitializer
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setInitializer
public void setInitializer(Initializer initializer, java.lang.String paramName)
Sets anInitializerto the specified direct parameter of the block, overriding the initializer of the parameter, if already set.- Specified by:
setInitializerin interfaceBlock- Parameters:
initializer- the initializer to be setparamName- the name of the parameter
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setInitializer
public void setInitializer(Initializer initializer, java.util.function.Predicate<Parameter> predicate)
Sets anInitializerto all the parameters that match Predicate in the block.- Specified by:
setInitializerin interfaceBlock- Parameters:
initializer- the initializer to be setpredicate- predicate function to indicate parameters you want to set
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initialize
public void initialize(NDManager manager, DataType dataType, Shape... inputShapes)
Initializes the parameters of the block, set require gradient if required and infer the block inputShape. This method must be called before calling `forward`.- Specified by:
initializein interfaceBlock- Parameters:
manager- the NDManager to initialize the parametersdataType- the datatype of the parametersinputShapes- the shapes of the inputs to the block
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beforeInitialize
protected void beforeInitialize(Shape... inputShapes)
Performs any action necessary before initialization. For example, keep the input information or verify the layout.- Parameters:
inputShapes- the expected shapes of the input
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initializeChildBlocks
protected void initializeChildBlocks(NDManager manager, DataType dataType, Shape... inputShapes)
Initializes the Child blocks of this block. You need to override this method if your subclass has child blocks. Used to determine the correct input shapes for child blocks based on the requested input shape for this block.- Parameters:
manager- the manager to use for initializationdataType- the requested data typeinputShapes- the expected input shapes for this block
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prepare
protected void prepare(Shape[] inputShapes)
Sets the shape ofParameters.- Parameters:
inputShapes- the shapes of inputs
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getParameters
public ParameterList getParameters()
Returns a list of all the parameters of the block, including the parameters of its children fetched recursively.- Specified by:
getParametersin interfaceBlock- Returns:
- the list of all parameters of the block
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isInitialized
public boolean isInitialized()
Returns a boolean whether the block is initialized (block has inputShape and params have nonNull array).- Specified by:
isInitializedin interfaceBlock- Returns:
- whether the block is initialized
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clear
public void clear()
Closes all the parameters of the block. All the updates made during training will be lost.
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cast
public void cast(DataType dataType)
Guaranteed to throw an exception. Not yet implemented
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saveParameters
public void saveParameters(java.io.DataOutputStream os) throws java.io.IOExceptionWrites the parameters of the block to the given outputStream.- Specified by:
saveParametersin interfaceBlock- Parameters:
os- the outputstream to save the parameters to- Throws:
java.io.IOException- if an I/O error occurs
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loadParameters
public void loadParameters(NDManager manager, java.io.DataInputStream is) throws java.io.IOException, MalformedModelException
Loads the parameters from the given input stream.- Specified by:
loadParametersin interfaceBlock- Parameters:
manager- an NDManager to create the parameter arraysis- the inputstream that stream the parameter values- Throws:
java.io.IOException- if an I/O error occursMalformedModelException- if the model file is corrupted or unsupported
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saveMetadata
protected void saveMetadata(java.io.DataOutputStream os) throws java.io.IOExceptionOverride this method to save additional data apart from parameter values.This default implementation saves the currently set input shapes.
- Parameters:
os- the non-null output stream the parameter values and metadata are written to- Throws:
java.io.IOException- saving failed
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loadMetadata
protected void loadMetadata(byte loadVersion, java.io.DataInputStream is) throws java.io.IOException, MalformedModelExceptionOverwrite this to load additional metadata with the parameter values.If you overwrite
saveMetadata(DataOutputStream)or need to provide backward compatibility to older binary formats, you probably need to overwrite this. This default implementation checks if the version number fits, if not it throws anMalformedModelException. After that it restores the input shapes.- Parameters:
loadVersion- the version used for loading this metadata.is- the input stream we are loading from- Throws:
java.io.IOException- loading failedMalformedModelException- data can be loaded but has wrong format
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saveInputShapes
protected void saveInputShapes(java.io.DataOutputStream os) throws java.io.IOException- Throws:
java.io.IOException
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readInputShapes
protected void readInputShapes(java.io.DataInputStream is) throws java.io.IOException- Throws:
java.io.IOException
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toString
public java.lang.String toString()
- Overrides:
toStringin classjava.lang.Object
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getInputShapes
public Shape[] getInputShapes()
Returns the input shapes of the block. The input shapes are only available after the block is initialized, otherwise anIllegalStateExceptionis thrown.- Specified by:
getInputShapesin interfaceBlock- Returns:
- the input shapes of the block
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getOutputDataTypes
public DataType[] getOutputDataTypes()
Returns the input dataTypes of the block.- Specified by:
getOutputDataTypesin interfaceBlock- Returns:
- the input dataTypes of the block
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