Package ai.djl.pytorch.engine

Class PtModel

java.lang.Object

ai.djl.BaseModel

ai.djl.pytorch.engine.PtModel

All Implemented Interfaces:

ai.djl.Model, AutoCloseable

public class PtModel
extends ai.djl.BaseModel

PtModel is the PyTorch implementation of Model.

PtModel contains all the methods in Model to load and process a model. In addition, it provides PyTorch Specific functionality

Field Summary

Fields inherited from class ai.djl.BaseModel

artifacts, block, dataType, inputData, manager, modelDir, modelName, properties, wasLoaded

Method Summary

Modifier and Type	Method	Description
String[]	getArtifactNames()
void	load(InputStream modelStream, boolean mapLocation)	Load PyTorch model from InputStream.
void	load(InputStream modelStream, Map<String,?> options)
void	load(Path modelPath, String prefix, Map<String,?> options)
ai.djl.training.Trainer	newTrainer(ai.djl.training.TrainingConfig trainingConfig)

Methods inherited from class ai.djl.BaseModel

close, describeInput, describeOutput, finalize, getArtifact, getArtifact, getArtifactAsStream, getBlock, getDataType, getModelPath, getName, getNDManager, getProperties, getProperty, newPredictor, paramPathResolver, readParameters, readParameters, save, setBlock, setDataType, setModelDir, setProperty, toString

Methods inherited from class java.lang.Object

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

Methods inherited from interface ai.djl.Model

cast, getProperty, intProperty, load, load, load, longProperty, newPredictor, quantize

Method Details

load

public void load(Path modelPath,
 String prefix,
 Map<String,?> options)
          throws IOException,
ai.djl.MalformedModelException

Throws:

IOException

ai.djl.MalformedModelException

load

public void load(InputStream modelStream,
 Map<String,?> options)
          throws IOException,
ai.djl.MalformedModelException

Specified by:

load in interface ai.djl.Model

Overrides:

load in class ai.djl.BaseModel

Throws:

IOException

ai.djl.MalformedModelException

load

public void load(InputStream modelStream,
 boolean mapLocation)
          throws IOException,
ai.djl.MalformedModelException

Load PyTorch model from InputStream.

Parameters:

modelStream - the stream of the model file

mapLocation - force load to specified device if true

Throws:

IOException - model loading error

ai.djl.MalformedModelException - if model file is corrupted

newTrainer

public ai.djl.training.Trainer newTrainer(ai.djl.training.TrainingConfig trainingConfig)

Specified by:

newTrainer in interface ai.djl.Model

Overrides:

newTrainer in class ai.djl.BaseModel

getArtifactNames

public String[] getArtifactNames()

Specified by:

getArtifactNames in interface ai.djl.Model

Overrides:

getArtifactNames in class ai.djl.BaseModel