Class TensorFlowNativeModel<T extends Output<T>>

java.lang.Object

org.tribuo.Model<T>

org.tribuo.interop.tensorflow.TensorFlowModel<T>

org.tribuo.interop.tensorflow.TensorFlowNativeModel<T>

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>, Serializable, AutoCloseable, ProtoSerializable<org.tribuo.protos.core.ModelProto>

public final class TensorFlowNativeModel<T extends Output<T>>
extends TensorFlowModel<T>

This model encapsulates a TensorFlow model running in graph mode with a single tensor output.

It accepts an FeatureConverter that converts an example's features into a set of Tensors, and an OutputConverter that converts a Tensor into a Prediction.

This model's serialized form stores the weights and is entirely self contained. If you wish to convert it into a model which uses checkpoints then call convertToCheckpointModel(java.lang.String, java.lang.String).

The model's serialVersionUID is set to the major TensorFlow version number times 100.

N.B. TensorFlow support is experimental and may change without a major version bump.

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static final int	CURRENT_VERSION	Protobuf serialization version.

Fields inherited from class org.tribuo.interop.tensorflow.TensorFlowModel

batchSize, closed, featureConverter, modelGraph, outputConverter, outputName, session

Fields inherited from class org.tribuo.Model

ALL_OUTPUTS, BIAS_FEATURE, featureIDMap, generatesProbabilities, name, outputIDInfo, provenance, provenanceOutput

Fields inherited from interface org.tribuo.protos.ProtoSerializable

DESERIALIZATION_METHOD_NAME, PROVENANCE_SERIALIZER

Method Summary

Modifier and Type	Method	Description
TensorFlowCheckpointModel<T>	convertToCheckpointModel(String checkpointDirectory, String checkpointName)	Creates a TensorFlowCheckpointModel version of this model.
protected TensorFlowNativeModel<T>	copy(String newName, ModelProvenance newProvenance)	Copies a model, replacing its provenance and name with the supplied values.
static TensorFlowNativeModel<?>	deserializeFromProto(int version, String className, com.google.protobuf.Any message)	Deserialization factory.
org.tribuo.protos.core.ModelProto	serialize()	Serializes this object to a protobuf.

Methods inherited from class org.tribuo.interop.tensorflow.TensorFlowModel

close, exportModel, getBatchSize, getExcuse, getOutputName, getTopFeatures, innerPredict, predict, setBatchSize

Methods inherited from class org.tribuo.Model

castModel, copy, createDataCarrier, deserialize, deserializeFromFile, deserializeFromStream, generatesProbabilities, getExcuses, getFeatureIDMap, getName, getOutputIDInfo, getProvenance, predict, predict, serializeToFile, serializeToStream, setName, toString, validate

Methods inherited from class java.lang.Object

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

Field Details

CURRENT_VERSION

public static final int CURRENT_VERSION

Protobuf serialization version.

See Also:

• Constant Field Values

Method Details

deserializeFromProto

public static TensorFlowNativeModel<?> deserializeFromProto(int version,
 String className,
 com.google.protobuf.Any message)
                                                     throws com.google.protobuf.InvalidProtocolBufferException

Deserialization factory.

Parameters:

version - The serialized object version.

className - The class name.

message - The serialized data.

Returns:

The deserialized object.

Throws:

com.google.protobuf.InvalidProtocolBufferException - If the protobuf could not be parsed from the message.

copy

protected TensorFlowNativeModel<T> copy(String newName,
 ModelProvenance newProvenance)

Description copied from class: Model

Copies a model, replacing its provenance and name with the supplied values.

Used to provide the provenance removal functionality.

Specified by:

copy in class Model<T extends Output<T>>

Parameters:

newName - The new name.

newProvenance - The new provenance.

Returns:

A copy of the model.

convertToCheckpointModel

public TensorFlowCheckpointModel<T> convertToCheckpointModel(String checkpointDirectory,
 String checkpointName)

Creates a TensorFlowCheckpointModel version of this model.

Parameters:

checkpointDirectory - The directory to write the checkpoint to.

checkpointName - The name of the checkpoint files.

Returns:

A version of this model using a TensorFlow checkpoint to store the parameters.

serialize

public org.tribuo.protos.core.ModelProto serialize()

Description copied from interface: ProtoSerializable

Serializes this object to a protobuf.

Specified by:

serialize in interface ProtoSerializable<T extends Output<T>>

Overrides:

serialize in class Model<T extends Output<T>>

Returns:

The protobuf.