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A

a(double) - Method in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
a(int) - Method in class org.nd4j.graph.FlatProperties
 
a(FlatArray, int) - Method in class org.nd4j.graph.FlatProperties
 
A3CConfiguration() - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscrete.A3CConfiguration
 
A3CDiscrete<O extends Encodable> - Class in org.deeplearning4j.rl4j.learning.async.a3c.discrete
 
A3CDiscrete(MDP<O, Integer, DiscreteSpace>, IActorCritic, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscrete
 
A3CDiscrete.A3CConfiguration - Class in org.deeplearning4j.rl4j.learning.async.a3c.discrete
 
A3CDiscreteConv<O extends Encodable> - Class in org.deeplearning4j.rl4j.learning.async.a3c.discrete
 
A3CDiscreteConv(MDP<O, Integer, DiscreteSpace>, IActorCritic, IHistoryProcessor.Configuration, A3CDiscrete.A3CConfiguration, IDataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
Deprecated.
A3CDiscreteConv(MDP<O, Integer, DiscreteSpace>, IActorCritic, IHistoryProcessor.Configuration, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
 
A3CDiscreteConv(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraph, IHistoryProcessor.Configuration, A3CDiscrete.A3CConfiguration, IDataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
Deprecated.
A3CDiscreteConv(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraph, IHistoryProcessor.Configuration, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
 
A3CDiscreteConv(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraphStdConv.Configuration, IHistoryProcessor.Configuration, A3CDiscrete.A3CConfiguration, IDataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
Deprecated.
A3CDiscreteConv(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraphStdConv.Configuration, IHistoryProcessor.Configuration, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
 
A3CDiscreteDense<O extends Encodable> - Class in org.deeplearning4j.rl4j.learning.async.a3c.discrete
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, IActorCritic, A3CDiscrete.A3CConfiguration, IDataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
Deprecated.
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, IActorCritic, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactorySeparate, A3CDiscrete.A3CConfiguration, IDataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
Deprecated.
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactorySeparate, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactorySeparateStdDense.Configuration, A3CDiscrete.A3CConfiguration, IDataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
Deprecated.
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactorySeparateStdDense.Configuration, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraph, A3CDiscrete.A3CConfiguration, IDataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
Deprecated.
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraph, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraphStdDense.Configuration, A3CDiscrete.A3CConfiguration, IDataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
Deprecated.
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraphStdDense.Configuration, A3CDiscrete.A3CConfiguration) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CThreadDiscrete<O extends Encodable> - Class in org.deeplearning4j.rl4j.learning.async.a3c.discrete
 
A3CThreadDiscrete(MDP<O, Integer, DiscreteSpace>, AsyncGlobal<IActorCritic>, A3CDiscrete.A3CConfiguration, int, TrainingListenerList, int) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CThreadDiscrete
 
ABORTED_VALUE - Static variable in enum org.tensorflow.framework.Code
The operation was aborted, typically due to a concurrency issue like sequencer check failures, transaction aborts, etc.
abs(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
abs(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise absolute value operation: out = abs(x)
abs(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise absolute value operation: out = abs(x)
Abs - Class in org.nd4j.linalg.api.ops.impl.transforms.same
Abs elementwise function
Abs(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs
 
Abs() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs
 
Abs(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs
 
Abs(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.same.Abs
 
abs(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise absolute value operation: out = abs(x)
abs(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Abs function
abs(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Abs function
absGreaterThan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is greater than value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.
absGreaterThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is greater than value Y in absolute values
absGreaterThanOrEqual() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is greater than or equal to value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.
absGreaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is greater than or equal to value Y in absolute values
absLessThan() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is less than value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.
absLessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is less than value Y in absolute values
absLessThanOrEqual() - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is less than or equal to value Y in absolute values PLEASE NOTE: This condition should be used only with pairwise methods, i.e.
absLessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
This method will create Condition that checks if value is value X is less than or equal to value Y in absolute values
absolute_difference_loss(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.absolute_difference_loss
Pointer cast constructor.
absolute_difference_loss(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.absolute_difference_loss
Native array allocator.
absolute_difference_loss() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.absolute_difference_loss
 
absolute_difference_loss_grad(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.absolute_difference_loss_grad
Pointer cast constructor.
absolute_difference_loss_grad(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.absolute_difference_loss_grad
Native array allocator.
absolute_difference_loss_grad() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.absolute_difference_loss_grad
 
absoluteDifference(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
absoluteDifference(String, SDVariable, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
Absolute difference loss: {@code sum_i abs( label[i] - predictions[i] )
absoluteDifference(String, SDVariable, SDVariable, LossReduce) - Method in class org.nd4j.autodiff.samediff.ops.SDLoss
AbsoluteDifferenceLoss - Class in org.nd4j.linalg.api.ops.impl.loss
Absolute difference loss
AbsoluteDifferenceLoss(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss
 
AbsoluteDifferenceLoss() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.AbsoluteDifferenceLoss
 
AbsoluteDifferenceLossBp - Class in org.nd4j.linalg.api.ops.impl.loss.bp
Absolute difference loss backprop
AbsoluteDifferenceLossBp(SameDiff, LossReduce, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp
 
AbsoluteDifferenceLossBp() - Constructor for class org.nd4j.linalg.api.ops.impl.loss.bp.AbsoluteDifferenceLossBp
 
absPath - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
AbstractCache<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
This is generic VocabCache implementation designed as abstract SequenceElements vocabulary
AbstractCache() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
AbstractCache.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
 
AbstractCompressor - Class in org.nd4j.compression.impl
 
AbstractCompressor() - Constructor for class org.nd4j.compression.impl.AbstractCompressor
 
AbstractCoOccurrences<T extends SequenceElement> - Class in org.deeplearning4j.models.glove
This class implements building cooccurrence map for abstract training corpus.
AbstractCoOccurrences.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.glove
 
AbstractDataSetIterator<T> - Class in org.deeplearning4j.datasets.iterator
This is simple DataSetIterator implementation, that builds DataSetIterator out of INDArray/float[]/double[] pairs.
AbstractDataSetIterator(Iterable<Pair<T, T>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
 
AbstractDataSetNormalizer<S extends NormalizerStats> - Class in org.nd4j.linalg.dataset.api.preprocessor
Abstract base class for normalizers that act upon DataSet instances or iterators
AbstractDataSetNormalizer(NormalizerStrategy<S>) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
 
AbstractDependencyTracker<T,D> - Class in org.nd4j.autodiff.samediff.internal
Object dependency tracker.
AbstractDependencyTracker() - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker
 
AbstractElementFactory<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.serialization
This is universal serialization/deserialization factor for SequenceVectors serialization.
AbstractElementFactory(Class<? extends SequenceElement>) - Constructor for class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
This is the only constructor available for AbstractElementFactory
AbstractFileResolvingResource - Class in org.nd4j.linalg.io
 
AbstractFileResolvingResource() - Constructor for class org.nd4j.linalg.io.AbstractFileResolvingResource
 
AbstractLayer<LayerConfT extends Layer> - Class in org.deeplearning4j.nn.layers
A layer with input and output, no parameters or gradients
AbstractLayer(NeuralNetConfiguration, DataType) - Constructor for class org.deeplearning4j.nn.layers.AbstractLayer
 
AbstractLSTM - Class in org.deeplearning4j.nn.conf.layers
LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
AbstractLSTM(AbstractLSTM.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.AbstractLSTM
 
AbstractLSTM.Builder<T extends AbstractLSTM.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
AbstractLSTMLayerSpace<T extends AbstractLSTM> - Class in org.deeplearning4j.arbiter.layers
Layer space for LSTM layers
AbstractLSTMLayerSpace(AbstractLSTMLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.AbstractLSTMLayerSpace
 
AbstractLSTMLayerSpace.Builder<T> - Class in org.deeplearning4j.arbiter.layers
 
AbstractMapFileWriter<T> - Class in org.datavec.hadoop.records.writer.mapfile
An abstract class For creating Hadoop map files, that underlies MapFileRecordWriter and MapFileSequenceRecordWriter.
AbstractMapFileWriter(File) - Constructor for class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
Constructor for all default values.
AbstractMapFileWriter(File, int) - Constructor for class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
Constructor for most default values.
AbstractMapFileWriter(File, WritableType) - Constructor for class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
AbstractMapFileWriter(File, int, WritableType) - Constructor for class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
AbstractMapFileWriter(File, int, WritableType, int, Configuration) - Constructor for class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
AbstractMapFileWriter(File, int, WritableType, int, String, Configuration) - Constructor for class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
AbstractMemoryMgr - Class in org.nd4j.autodiff.samediff.internal.memory
Abstract memory manager, that implements ulike and dup methods using the underlying allocate methods
AbstractMemoryMgr() - Constructor for class org.nd4j.autodiff.samediff.internal.memory.AbstractMemoryMgr
 
AbstractMultiDataSetNormalizer<S extends NormalizerStats> - Class in org.nd4j.linalg.dataset.api.preprocessor
Abstract base class for normalizers that act upon MultiDataSet instances or iterators
AbstractMultiDataSetNormalizer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
 
AbstractMultiDataSetNormalizer(NormalizerStrategy<S>) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
 
AbstractNormalizer - Class in org.nd4j.linalg.dataset.api.preprocessor
Abstract base class for normalizers for both DataSet and MultiDataSet processing
AbstractNormalizer() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.AbstractNormalizer
 
AbstractNumber - Interface in org.nd4j.linalg.util
 
AbstractParameterSpace<T> - Class in org.deeplearning4j.arbiter.optimize.api
Created by Alex on 23/07/2017.
AbstractParameterSpace() - Constructor for class org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace
 
AbstractResource - Class in org.nd4j.linalg.io
 
AbstractResource() - Constructor for class org.nd4j.linalg.io.AbstractResource
 
AbstractSameDiffLayer - Class in org.deeplearning4j.nn.conf.layers.samediff
 
AbstractSameDiffLayer(AbstractSameDiffLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
AbstractSameDiffLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
AbstractSameDiffLayer.Builder<T extends AbstractSameDiffLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers.samediff
 
AbstractSequenceIterator<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
This is basic generic SequenceIterator implementation
AbstractSequenceIterator(Iterable<Sequence<T>>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
 
AbstractSequenceIterator.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
 
AbstractSerDe<T> - Class in org.nd4j.remote.clients.serde.impl
 
AbstractSerDe() - Constructor for class org.nd4j.remote.clients.serde.impl.AbstractSerDe
 
AbstractSession<T,O> - Class in org.nd4j.autodiff.samediff.internal
AbstractSession is a SameDiff graph execution class that inference and training it built upon It walks through the graph, dynamically executing operations that can be executed next, but (again, dynamically) only executing the subset of the graph that is actually required to get the requested outputs.
AbstractSession(SameDiff) - Constructor for class org.nd4j.autodiff.samediff.internal.AbstractSession
 
AbstractSession.ExecStep - Class in org.nd4j.autodiff.samediff.internal
ExecStep represents a single execution step, for a single op (or variable/constant etc) at a specific frame/iteration
AbstractSession.ExecStepPredicate - Class in org.nd4j.autodiff.samediff.internal
Used in getting the next ExecStep that matches the specified (current) frame/iteration
AbstractSession.ExecType - Enum in org.nd4j.autodiff.samediff.internal
ExecType: Execution type, as used in ExecStep
OP: Operation execution
VARIABLE: Variable "execution", mainly used to trigger ops that depend on the variable
CONSTANT: As per variable
PLACEHOLDER: As per variable
SWITCH_L and SWITCH_R: This is a bit of a hack to account for the fact that only one of the switch branches (left or right) will ever be available; without this, once the switch op is executed, we'll (incorrectly) conclude that *both* branches can be executed
EXEC_START: Start of execution
CONTROL_DEP: Control dependency for op.
AbstractSession.FrameIter - Class in org.nd4j.autodiff.samediff.internal
FrameIter: Identifies a frame + iteration (but not a specific op or variable).
AbstractSession.VarId - Class in org.nd4j.autodiff.samediff.internal
VarId: identifies the value of a variable in a specific frame and frame iteration
Note that frames can be nested - which generally represents nested loop situations.
AbstractStorage<T> - Interface in org.nd4j.linalg.compression
This interface describes basic Key-Value storage, where Key is any object, and Value is INDArray located "somewhere else"
AbstractSubscriber<T> - Class in org.nd4j.parameterserver.distributed.v2.util
 
AbstractSubscriber() - Constructor for class org.nd4j.parameterserver.distributed.v2.util.AbstractSubscriber
 
AbstractTfidfVectorizer<VECTOR_TYPE> - Class in org.datavec.nlp.vectorizer
Tf idf vectorizer
AbstractTfidfVectorizer() - Constructor for class org.datavec.nlp.vectorizer.AbstractTfidfVectorizer
 
AbstractTimeSeriesWritableRecordBatch - Class in org.datavec.api.writable.batch
Simple base class for List> implementations
AbstractTimeSeriesWritableRecordBatch() - Constructor for class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
AbstractUpdatesHandler - Class in org.nd4j.parameterserver.distributed.v2.util
 
AbstractUpdatesHandler() - Constructor for class org.nd4j.parameterserver.distributed.v2.util.AbstractUpdatesHandler
 
AbstractVertexFactory<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.vertex
VertexFactory implementation
AbstractVertexFactory() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.vertex.AbstractVertexFactory
 
AbstractWritableRecordBatch - Class in org.datavec.api.writable.batch
Simple base class for List> implementations
AbstractWritableRecordBatch() - Constructor for class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
AbstractWritableRecordBatch.RecordBatchListIterator - Class in org.datavec.api.writable.batch
 
AbsValueGreaterOrEqualsThan - Class in org.nd4j.linalg.indexing.conditions
Boolean condition on absolute value: abs(x) >= value
AbsValueGreaterOrEqualsThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
Special constructor for pairwise boolean operations.
AbsValueGreaterOrEqualsThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterOrEqualsThan
 
AbsValueGreaterThan - Class in org.nd4j.linalg.indexing.conditions
Boolean condition on absolute value: abs(x) > value
AbsValueGreaterThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
Special constructor for pairwise boolean operations.
AbsValueGreaterThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueGreaterThan
 
AbsValueLessOrEqualsThan - Class in org.nd4j.linalg.indexing.conditions
Boolean condition on absolute value: abs(x) <= value
AbsValueLessOrEqualsThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
Special constructor for pairwise boolean operations.
AbsValueLessOrEqualsThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessOrEqualsThan
 
AbsValueLessThan - Class in org.nd4j.linalg.indexing.conditions
Boolean condition on absolute value: abs(x) < value
AbsValueLessThan() - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
Special constructor for pairwise boolean operations.
AbsValueLessThan(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.AbsValueLessThan
 
accept(String) - Method in class org.datavec.api.io.filters.RandomPathFilter
 
accept(Class<?>) - Method in interface org.datavec.api.io.serializers.Serialization
Allows clients to test whether this Serialization supports the given class.
accept(Writable) - Method in class org.datavec.api.transform.ops.AggregableCheckingOp
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregableMultiOp
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableCount
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableCountUnique
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableFirst
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableLast
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableMax
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableMean
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableMin
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableProd
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableRange
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableStdDev
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableSum
 
accept(T) - Method in class org.datavec.api.transform.ops.AggregatorImpls.AggregableVariance
 
accept(Writable) - Method in class org.datavec.api.transform.ops.ByteWritableOp
 
accept(List<T>) - Method in class org.datavec.api.transform.ops.DispatchOp
 
accept(List<Writable>) - Method in class org.datavec.api.transform.ops.DispatchWithConditionOp
 
accept(Writable) - Method in class org.datavec.api.transform.ops.DoubleWritableOp
 
accept(Writable) - Method in class org.datavec.api.transform.ops.FloatWritableOp
 
accept(Writable) - Method in class org.datavec.api.transform.ops.IntWritableOp
 
accept(Writable) - Method in class org.datavec.api.transform.ops.LongWritableOp
 
accept(String) - Method in class org.datavec.api.transform.ops.StringAggregatorImpls.AggregableStringAppend
 
accept(String) - Method in class org.datavec.api.transform.ops.StringAggregatorImpls.AggregableStringPrepend
 
accept(Writable) - Method in class org.datavec.api.transform.ops.StringWritableOp
 
accept(Writable) - Method in class org.datavec.api.transform.reduce.geo.CoordinatesReduction.CoordinateAggregableReduceOp
 
accept(Writable) - Method in class org.datavec.api.transform.reduce.impl.GeographicMidpointReduction.AverageCoordinateReduceOp
 
accept(T, U) - Method in interface org.nd4j.linalg.function.BiConsumer
Perform the operation on the given arguments
accept(T) - Method in interface org.nd4j.linalg.function.Consumer
Perform the operation on the input
accept(T) - Method in class org.nd4j.parameterserver.distributed.v2.transport.impl.BaseTransport.MessageFlow
 
acceptLabel(String) - Method in class org.datavec.api.io.filters.BalancedPathFilter
 
ACCESS_KEY - Static variable in class org.deeplearning4j.aws.s3.BaseS3
 
ACCESS_SECRET - Static variable in class org.deeplearning4j.aws.s3.BaseS3
 
accessKey - Variable in class org.deeplearning4j.aws.s3.BaseS3
 
accumulate(INDArray, INDArray...) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuNDArrayFactory
 
accumulate(INDArray...) - Static method in class org.nd4j.linalg.factory.Nd4j
This method sums given arrays and stores them to a new array
accumulate(INDArray, Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
This method sums given arrays and stores them to a given target array
accumulate(INDArray, INDArray[]) - Static method in class org.nd4j.linalg.factory.Nd4j
This method sums given arrays and stores them to a given target array
accumulate(INDArray, INDArray...) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
This method sums given arrays to target
accumulate(PointerPointer, PointerPointer, LongPointer, PointerPointer, LongPointer, Pointer, LongPointer, Pointer, LongPointer, int, long) - Method in interface org.nd4j.nativeblas.NativeOps
 
accumulate(PointerPointer, PointerPointer, LongPointer, PointerPointer, LongPointer, Pointer, LongPointer, Pointer, LongPointer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu
 
accumulate(PointerPointer, PointerPointer, LongBuffer, PointerPointer, LongBuffer, Pointer, LongBuffer, Pointer, LongBuffer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu
 
accumulate(PointerPointer, PointerPointer, long[], PointerPointer, long[], Pointer, long[], Pointer, long[], int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu
 
accumulateAggregation(VoidAggregation) - Method in class org.nd4j.parameterserver.distributed.messages.aggregations.BaseAggregation
Deprecated.
 
accumulateAggregation(VoidAggregation) - Method in interface org.nd4j.parameterserver.distributed.messages.VoidAggregation
Deprecated.
 
accumulateChunk(NDArrayMessageChunk) - Method in interface org.nd4j.aeron.ipc.chunk.ChunkAccumulator
Accumulate chunks
accumulateChunk(NDArrayMessageChunk) - Method in class org.nd4j.aeron.ipc.chunk.InMemoryChunkAccumulator
Accumulate chunks in a map until all chunks have been accumulated.
accumulateLabel(String) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
Accumulate the label from the path
accumulator - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
accumulator - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
accumulator - Variable in class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler
 
accumulator - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
accumulator - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
accumulator - Variable in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer
 
accumulator - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
accumulator - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraCountFunction
 
accumulator - Variable in class org.deeplearning4j.spark.parameterserver.networking.v1.SilentTrainingDriver
Deprecated.
 
accumulator - Variable in class org.deeplearning4j.spark.parameterserver.networking.v2.UpdatesConsumer
 
accumulator - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
ACCURACY - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
accuracy(List<String>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in class org.deeplearning4j.models.fasttext.FastText
 
accuracy(List<String>) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest PLEASE NOTE: This method is not available in this implementation.
accuracy() - Method in class org.nd4j.evaluation.classification.Evaluation
Accuracy: (TP + TN) / (P + N)
accuracy(int) - Method in class org.nd4j.evaluation.classification.EvaluationBinary
Get the accuracy for the specified output
ACCURACY_MULTI - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
acos(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
acos(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)
acos(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)
ACos - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
Log elementwise function
ACos(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos
 
ACos() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos
 
ACos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos
 
ACos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACos
 
acos(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)
acos(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
acos(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
acosh(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
acosh(SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)
acosh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.ops.SDMath
Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)
ACosh - Class in org.nd4j.linalg.api.ops.impl.transforms.strict
ACosh elementwise function
ACosh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
ACosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
ACosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
ACosh(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
ACosh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.strict.ACosh
 
acosh(INDArray) - Method in class org.nd4j.linalg.factory.ops.NDMath
Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)
ACPolicy<O extends Encodable> - Class in org.deeplearning4j.rl4j.policy
 
ACPolicy(IActorCritic) - Constructor for class org.deeplearning4j.rl4j.policy.ACPolicy
 
ACPolicy(IActorCritic, Random) - Constructor for class org.deeplearning4j.rl4j.policy.ACPolicy
 
acquireModel() - Method in class org.deeplearning4j.parallelism.InplaceParallelInference.ModelHolder
 
ActGradConfig() - Constructor for class org.nd4j.autodiff.validation.GradCheckUtil.ActGradConfig
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
ACTION_SPACE - Static variable in class org.deeplearning4j.gym.Client
 
actionForMapPartition(JavaRDD) - Method in class org.deeplearning4j.spark.text.functions.CountCumSum
 
actions - Variable in class org.deeplearning4j.malmo.MalmoActionSpace
Array of action strings that will be sent to Malmo
actions - Variable in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
actions - Variable in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom
 
ActionSpace<A> - Interface in org.deeplearning4j.rl4j.space
 
ActionTransformer - Class in org.deeplearning4j.rl4j.mdp.gym
 
ActionTransformer(HighLowDiscrete, int[]) - Constructor for class org.deeplearning4j.rl4j.mdp.gym.ActionTransformer
 
activate(boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Layer
Perform forward pass and return the activations array with the last set input
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Layer
Perform forward pass and return the activations array with the specified input
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cnn3DLossLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
activate(INDArray, IActivation, boolean) - Method in interface org.deeplearning4j.nn.layers.convolution.ConvolutionHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
activate(INDArray, boolean, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.PReLU
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
activate(INDArray, IActivation, boolean) - Method in class org.deeplearning4j.nn.layers.mkldnn.MKLDNNConvHelper
 
activate(INDArray, boolean, double, double, double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.mkldnn.MKLDNNLocalResponseNormalizationHelper
 
activate(Layer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.mkldnn.MKLDNNLSTMHelper
 
activate(INDArray, boolean, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.mkldnn.MKLDNNSubsamplingHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
activate(INDArray, boolean, double, double, double, double, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.normalization.LocalResponseNormalizationHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
activate(INDArray, INDArray) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
Essentially: just apply activation functions...
activate(INDArray, INDArray, LayerWorkspaceMgr) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
Deprecated.
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
Deprecated.
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
activate(Layer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.recurrent.LSTMHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.TimeDistributedLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.TimeDistributedLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.RepeatVector
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.util.MaskLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
activate(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
activate(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Equivalent to #output(INDArray, TrainingMode)
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activateHelper(BaseRecurrentLayer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LSTMHelper, CacheMode, LayerWorkspaceMgr, boolean) - Static method in class org.deeplearning4j.nn.layers.recurrent.LSTMHelpers
Returns FwdPassReturn object with activations/INDArrays.
activateScavenger() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method removes low-frequency words based on their frequency change between activations.
activateSelectedLayers(int, int, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate activation for few layers at once.
activation(Activation) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
activation(ParameterSpace<Activation>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
activation(Activation) - Method in class org.deeplearning4j.arbiter.layers.ActivationLayerSpace.Builder
 
activation(IActivation) - Method in class org.deeplearning4j.arbiter.layers.ActivationLayerSpace.Builder
 
activation(ParameterSpace<Activation>) - Method in class org.deeplearning4j.arbiter.layers.ActivationLayerSpace.Builder
 
activation(Activation...) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
activation(Activation) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
activation(IActivation) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
activation(ParameterSpace<Activation>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
activation(Activation) - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
activation(IActivation) - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
activation(ParameterSpace<Activation>) - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
activation(String) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
Deprecated.
Use ActivationLayer.Builder.activation(Activation) or @activation(IActivation)
activation(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
 
activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
 
activation(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set the activation function for the layer.
activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set the activation function for the layer, from an Activation enumeration value.
activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected1D.Builder
 
activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected2D.Builder
 
activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.RecurrentAttentionLayer.Builder
 
activation(IActivation) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Activation function / neuron non-linearity
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
activation(Activation) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Activation function / neuron non-linearity
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
activation - Variable in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
The activation function to use with ocnn
activation(IActivation) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
The activation function to use with ocnn
activation(IActivation) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Activation function / neuron non-linearity
activation(Activation) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Activation function / neuron non-linearity
Activation - Enum in org.nd4j.linalg.activations
This enum is the factory for the activation function.
activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener
 
activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseListener
 
activationAvailable(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in interface org.nd4j.autodiff.listeners.Listener
Called when any activation becomes available.
activationAvailableEvaluations(SameDiff, At, MultiDataSet, SameDiffOp, String, INDArray) - Method in class org.nd4j.autodiff.listeners.BaseEvaluationListener
ActivationCube - Class in org.nd4j.linalg.activations.impl
f(x) = x^3
ActivationCube() - Constructor for class org.nd4j.linalg.activations.impl.ActivationCube
 
ActivationELU - Class in org.nd4j.linalg.activations.impl
f(x) = alpha * (exp(x) - 1.0); x < 0 = x ; x>= 0 alpha defaults to 1, if not specified
ActivationELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationELU
 
ActivationELU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationELU
 
activationExceedsZeroOneRange(IActivation, boolean) - Static method in class org.deeplearning4j.util.OutputLayerUtil
 
activationFn(ParameterSpace<IActivation>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
activationFn(ParameterSpace<IActivation>) - Method in class org.deeplearning4j.arbiter.layers.ActivationLayerSpace.Builder
 
activationFn(ParameterSpace<IActivation>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
activationFn(ParameterSpace<IActivation>) - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
activationFn - Variable in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
activationFn - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
activationFn - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set the activation function for the layer.
activationFn - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
activationFn - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
activationFromPrevLayer(int, INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activationFunction - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
activationFunction - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
activationFunction - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
ActivationGELU - Class in org.nd4j.linalg.activations.impl
GELU activation function - Gaussian Error Linear Units
ActivationGELU(boolean) - Constructor for class org.nd4j.linalg.activations.impl.ActivationGELU
 
ActivationGELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationGELU
 
ActivationGradientCheckListener - Class in org.nd4j.autodiff.validation
A listener used for debugging and testing purposes - specifically for gradient checking activations internally in GradCheckUtil.
ActivationGradientCheckListener() - Constructor for class org.nd4j.autodiff.validation.ActivationGradientCheckListener
 
ActivationHardSigmoid - Class in org.nd4j.linalg.activations.impl
f(x) = min(1, max(0, 0.2*x + 0.5))
ActivationHardSigmoid() - Constructor for class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
 
ActivationHardTanH - Class in org.nd4j.linalg.activations.impl
⎧ 1, if x > 1 f(x) = ⎨ -1, if x < -1 ⎩ x, otherwise
ActivationHardTanH() - Constructor for class org.nd4j.linalg.activations.impl.ActivationHardTanH
 
ActivationIdentity - Class in org.nd4j.linalg.activations.impl
f(x) = x
ActivationIdentity() - Constructor for class org.nd4j.linalg.activations.impl.ActivationIdentity
 
ActivationLayer - Class in org.deeplearning4j.nn.conf.layers
Activation layer is a simple layer that applies the specified activation function to the input activations
ActivationLayer(ActivationLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
ActivationLayer(Activation) - Constructor for class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
ActivationLayer(IActivation) - Constructor for class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
ActivationLayer - Class in org.deeplearning4j.nn.layers
Activation Layer Used to apply activation on input and corresponding derivative on epsilon.
ActivationLayer(NeuralNetConfiguration, DataType) - Constructor for class org.deeplearning4j.nn.layers.ActivationLayer
 
ActivationLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
ActivationLayerSpace - Class in org.deeplearning4j.arbiter.layers
Layer space for ActivationLayer
ActivationLayerSpace(ActivationLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.ActivationLayerSpace
 
ActivationLayerSpace.Builder - Class in org.deeplearning4j.arbiter.layers
 
ActivationLReLU - Class in org.nd4j.linalg.activations.impl
Leaky RELU f(x) = max(0, x) + alpha * min(0, x) alpha defaults to 0.01
ActivationLReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationLReLU
 
ActivationLReLU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationLReLU
 
ActivationMish - Class in org.nd4j.linalg.activations.impl
https://arxiv.org/ftp/arxiv/papers/1908/1908.08681.pdf
ActivationMish() - Constructor for class org.nd4j.linalg.activations.impl.ActivationMish
 
ActivationParameterSpaceAdapter - Class in org.deeplearning4j.arbiter.adapter
A simple class to adapt a Activation parameter space to a IActivation parameter space
ActivationParameterSpaceAdapter(ParameterSpace<Activation>) - Constructor for class org.deeplearning4j.arbiter.adapter.ActivationParameterSpaceAdapter
 
ActivationPReLU - Class in org.nd4j.linalg.activations.impl
/** Parametrized Rectified Linear Unit (PReLU) f(x) = alpha * x for x < 0, f(x) = x for x >= 0 alpha has the same shape as x and is a learned parameter.
ActivationPReLU(INDArray, long[]) - Constructor for class org.nd4j.linalg.activations.impl.ActivationPReLU
 
ActivationRationalTanh - Class in org.nd4j.linalg.activations.impl
Rational tanh approximation From https://arxiv.org/pdf/1508.01292v3 f(x) = 1.7159 * tanh(2x/3) where tanh is approximated as follows, tanh(y) ~ sgn(y) * { 1 - 1/(1+|y|+y^2+1.41645*y^4)} Underlying implementation is in native code
ActivationRationalTanh() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRationalTanh
 
ActivationRectifiedTanh - Class in org.nd4j.linalg.activations.impl
Rectified tanh Essentially max(0, tanh(x)) Underlying implementation is in native code
ActivationRectifiedTanh() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
 
ActivationReLU - Class in org.nd4j.linalg.activations.impl
f(x) = max(0, x)
ActivationReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU
 
ActivationReLU6 - Class in org.nd4j.linalg.activations.impl
f(x) = min(max(input, cutoff), 6)
ActivationReLU6() - Constructor for class org.nd4j.linalg.activations.impl.ActivationReLU6
 
ActivationRReLU - Class in org.nd4j.linalg.activations.impl
f(x) = max(0,x) + alpha * min(0, x) alpha is drawn from uniform(l,u) during training and is set to l+u/2 during test l and u default to 1/8 and 1/3 respectively Empirical Evaluation of Rectified Activations in Convolutional Network
ActivationRReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationRReLU
 
ActivationRReLU(double, double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationRReLU
 
ActivationSELU - Class in org.nd4j.linalg.activations.impl
https://arxiv.org/pdf/1706.02515.pdf
ActivationSELU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSELU
 
ActivationSigmoid - Class in org.nd4j.linalg.activations.impl
f(x) = 1 / (1 + exp(-x))
ActivationSigmoid() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSigmoid
 
ActivationSoftmax - Class in org.nd4j.linalg.activations.impl
f_i(x) = exp(x_i - shift) / sum_j exp(x_j - shift) where shift = max_i(x_i)
ActivationSoftmax() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftmax
 
ActivationSoftPlus - Class in org.nd4j.linalg.activations.impl
f(x) = log(1+e^x)
ActivationSoftPlus() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftPlus
 
ActivationSoftSign - Class in org.nd4j.linalg.activations.impl
f_i(x) = x_i / (1+|x_i|)
ActivationSoftSign() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSoftSign
 
activationsVertexName() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffOutputLayer
Output layers should terminate in a single scalar value (i.e., a score) - however, sometimes the output activations (such as softmax probabilities) need to be returned.
ActivationSwish - Class in org.nd4j.linalg.activations.impl
f(x) = x * sigmoid(x)
ActivationSwish() - Constructor for class org.nd4j.linalg.activations.impl.ActivationSwish
 
ActivationTanH - Class in org.nd4j.linalg.activations.impl
f(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
ActivationTanH() - Constructor for class org.nd4j.linalg.activations.impl.ActivationTanH
 
ActivationThresholdedReLU - Class in org.nd4j.linalg.activations.impl
Thresholded RELU f(x) = x for x > theta, f(x) = 0 otherwise. theta defaults to 1.0
ActivationThresholdedReLU() - Constructor for class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU
 
ActivationThresholdedReLU(double) - Constructor for class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU
 
active(String) - Method in class org.ansj.dic.LearnTool
尝试激活,新词
ActorCriticCompGraph<NN extends ActorCriticCompGraph> - Class in org.deeplearning4j.rl4j.network.ac
 
ActorCriticCompGraph(ComputationGraph) - Constructor for class org.deeplearning4j.rl4j.network.ac.ActorCriticCompGraph
 
ActorCriticFactoryCompGraph - Interface in org.deeplearning4j.rl4j.network.ac
 
ActorCriticFactoryCompGraphStdConv - Class in org.deeplearning4j.rl4j.network.ac
 
ActorCriticFactoryCompGraphStdConv() - Constructor for class org.deeplearning4j.rl4j.network.ac.ActorCriticFactoryCompGraphStdConv
 
ActorCriticFactoryCompGraphStdConv.Configuration - Class in org.deeplearning4j.rl4j.network.ac
 
ActorCriticFactoryCompGraphStdDense - Class in org.deeplearning4j.rl4j.network.ac
 
ActorCriticFactoryCompGraphStdDense() - Constructor for class org.deeplearning4j.rl4j.network.ac.ActorCriticFactoryCompGraphStdDense
 
ActorCriticFactoryCompGraphStdDense.Configuration - Class in org.deeplearning4j.rl4j.network.ac
 
ActorCriticFactorySeparate - Interface in org.deeplearning4j.rl4j.network.ac
 
ActorCriticFactorySeparateStdDense - Class in org.deeplearning4j.rl4j.network.ac
 
ActorCriticFactorySeparateStdDense() - Constructor for class org.deeplearning4j.rl4j.network.ac.ActorCriticFactorySeparateStdDense
 
ActorCriticFactorySeparateStdDense.Configuration - Class in org.deeplearning4j.rl4j.network.ac
 
ActorCriticLoss - Class in org.deeplearning4j.rl4j.network.ac
Custom loss function required for Actor-Critic methods: L = sum_i advantage_i * log( probability_i ) + entropy( probability ) It is very similar to the Multi-Class Cross Entropy loss function.
ActorCriticLoss() - Constructor for class org.deeplearning4j.rl4j.network.ac.ActorCriticLoss
 
ActorCriticSeparate<NN extends ActorCriticSeparate> - Class in org.deeplearning4j.rl4j.network.ac
 
ActorCriticSeparate(MultiLayerNetwork, MultiLayerNetwork) - Constructor for class org.deeplearning4j.rl4j.network.ac.ActorCriticSeparate
 
AdaDelta - Class in org.nd4j.linalg.learning.config
https://www.matthewzeiler.com/mattzeiler/adadelta.pdf https://arxiv.org/pdf/1212.5701v1.pdf Ada delta updater.
AdaDelta() - Constructor for class org.nd4j.linalg.learning.config.AdaDelta
 
AdaDelta.Builder - Class in org.nd4j.linalg.learning.config
 
AdaDeltaUpdater - Class in org.nd4j.linalg.learning
http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf https://arxiv.org/pdf/1212.5701v1.pdf Ada delta updater.
AdaDeltaUpdater(AdaDelta) - Constructor for class org.nd4j.linalg.learning.AdaDeltaUpdater
 
adaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
adaGrad - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
adaGrad - Variable in class org.deeplearning4j.plot.Tsne
 
ADAGRAD - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
ADAGRAD - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
AdaGrad - Class in org.nd4j.linalg.learning.config
Vectorized Learning Rate used per Connection Weight

Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/ See also http://cs231n.github.io/neural-networks-3/#ada

AdaGrad() - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
 
AdaGrad(double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
 
AdaGrad(double, double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
 
AdaGrad(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
 
AdaGrad(ISchedule, double) - Constructor for class org.nd4j.linalg.learning.config.AdaGrad
 
AdaGrad - Class in org.nd4j.linalg.learning.legacy
Legacy AdaGrad implementation for use in NLP etc applications
AdaGrad(int, int, double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
 
AdaGrad(int, int) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
 
AdaGrad(long[], double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
 
AdaGrad(double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
 
AdaGrad(double, double) - Constructor for class org.nd4j.linalg.learning.legacy.AdaGrad
 
AdaGrad.Builder - Class in org.nd4j.linalg.learning.config
 
AdaGradSpace - Class in org.deeplearning4j.arbiter.conf.updater
 
AdaGradSpace(ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.AdaGradSpace
 
AdaGradSpace(ParameterSpace<Double>, ParameterSpace<ISchedule>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.AdaGradSpace
 
AdaGradUpdater - Class in org.nd4j.linalg.learning
Vectorized Learning Rate used per Connection Weight

Adapted from: http://xcorr.net/2014/01/23/adagrad-eliminating-learning-rates-in-stochastic-gradient-descent/ See also http://cs231n.github.io/neural-networks-3/#ada

AdaGradUpdater(AdaGrad) - Constructor for class org.nd4j.linalg.learning.AdaGradUpdater
 
Adam - Class in org.nd4j.linalg.learning.config
The Adam updater.
Adam() - Constructor for class org.nd4j.linalg.learning.config.Adam
 
Adam(double) - Constructor for class org.nd4j.linalg.learning.config.Adam
 
Adam(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Adam
 
Adam(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.Adam
 
Adam.Builder - Class in org.nd4j.linalg.learning.config
 
AdaMax - Class in org.nd4j.linalg.learning.config
The AdaMax updater, a variant of Adam.
AdaMax() - Constructor for class org.nd4j.linalg.learning.config.AdaMax
 
AdaMax(double) - Constructor for class org.nd4j.linalg.learning.config.AdaMax
 
AdaMax(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AdaMax
 
AdaMax(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.AdaMax
 
AdaMax.Builder - Class in org.nd4j.linalg.learning.config
 
AdaMaxSpace - Class in org.deeplearning4j.arbiter.conf.updater
 
AdaMaxSpace(ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.AdaMaxSpace
 
AdaMaxSpace(ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.AdaMaxSpace
 
AdaMaxSpace(ParameterSpace<Double>, ParameterSpace<ISchedule>, ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.AdaMaxSpace
 
AdaMaxUpdater - Class in org.nd4j.linalg.learning
The AdaMax updater, a variant of Adam.
AdaMaxUpdater(AdaMax) - Constructor for class org.nd4j.linalg.learning.AdaMaxUpdater
 
AdamSpace - Class in org.deeplearning4j.arbiter.conf.updater
 
AdamSpace(ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.AdamSpace
 
AdamSpace(ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.AdamSpace
 
AdamSpace(ParameterSpace<Double>, ParameterSpace<ISchedule>, ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.AdamSpace
 
AdamUpdater - Class in org.nd4j.linalg.learning
The Adam updater.
AdamUpdater(Adam) - Constructor for class org.nd4j.linalg.learning.AdamUpdater
 
adapt2dMask(INDArray, INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
adapter - Variable in class org.datavec.local.transforms.BaseFlatMapFunctionAdaptee
 
AdaptiveThresholdAlgorithm - Class in org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold
An adaptive threshold algorithm used to determine the encoding threshold for distributed training.
AdaptiveThresholdAlgorithm() - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.AdaptiveThresholdAlgorithm
Create the adaptive threshold algorithm with the default initial threshold AdaptiveThresholdAlgorithm.DEFAULT_INITIAL_THRESHOLD, default minimum sparsity target AdaptiveThresholdAlgorithm.DEFAULT_MIN_SPARSITY_TARGET, default maximum sparsity target AdaptiveThresholdAlgorithm.DEFAULT_MAX_SPARSITY_TARGET, and default decay rate AdaptiveThresholdAlgorithm.DEFAULT_DECAY_RATE
AdaptiveThresholdAlgorithm(double) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.AdaptiveThresholdAlgorithm
Create the adaptive threshold algorithm with the specified initial threshold, but defaults for the other values: default minimum sparsity target AdaptiveThresholdAlgorithm.DEFAULT_MIN_SPARSITY_TARGET, default maximum sparsity target AdaptiveThresholdAlgorithm.DEFAULT_MAX_SPARSITY_TARGET, and default decay rate AdaptiveThresholdAlgorithm.DEFAULT_DECAY_RATE
AdaptiveThresholdAlgorithm(double, double, double, double) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.AdaptiveThresholdAlgorithm
 
add(String) - Method in class com.atilika.kuromoji.trie.Trie
Adds an input value to this trie Before the value is added, a terminating character (U+0001) is appended to the input string
add(String) - Method in class com.atilika.kuromoji.trie.Trie.Node
Add string to add to this node
add(String, boolean) - Method in class com.atilika.kuromoji.trie.Trie.Node
 
add(Writable) - Method in interface org.datavec.api.transform.analysis.AnalysisCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.counter.BytesAnalysisCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.counter.CategoricalAnalysisCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.counter.DoubleAnalysisCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.counter.IntegerAnalysisCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.counter.LongAnalysisCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.counter.NDArrayAnalysisCounter
 
add(double) - Method in class org.datavec.api.transform.analysis.counter.StatCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.counter.StringAnalysisCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.histogram.CategoricalHistogramCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.histogram.DoubleHistogramCounter
 
add(Writable) - Method in interface org.datavec.api.transform.analysis.histogram.HistogramCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.histogram.NDArrayHistogramCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.histogram.StringHistogramCounter
 
add(Writable) - Method in class org.datavec.api.transform.analysis.quality.bytes.BytesQualityAnalysisState
 
add(Writable) - Method in class org.datavec.api.transform.analysis.quality.categorical.CategoricalQualityAnalysisState
 
add(Writable) - Method in class org.datavec.api.transform.analysis.quality.integer.IntegerQualityAnalysisState
 
add(Writable) - Method in class org.datavec.api.transform.analysis.quality.longq.LongQualityAnalysisState
 
add(Writable) - Method in interface org.datavec.api.transform.analysis.quality.QualityAnalysisState
 
add(Writable) - Method in class org.datavec.api.transform.analysis.quality.real.RealQualityAnalysisState
 
add(Writable) - Method in class org.datavec.api.transform.analysis.quality.string.StringQualityAnalysisState
 
add(Writable) - Method in class org.datavec.api.transform.analysis.quality.time.TimeQualityAnalysisState
 
add(CategoricalQuality) - Method in class org.datavec.api.transform.quality.columns.CategoricalQuality
 
add(DoubleQuality) - Method in class org.datavec.api.transform.quality.columns.DoubleQuality
 
add(IntegerQuality) - Method in class org.datavec.api.transform.quality.columns.IntegerQuality
 
add(LongQuality) - Method in class org.datavec.api.transform.quality.columns.LongQuality
 
add(StringQuality) - Method in class org.datavec.api.transform.quality.columns.StringQuality
 
add(TimeQuality) - Method in class org.datavec.api.transform.quality.columns.TimeQuality
 
add(List<List<Writable>>) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
add(int, List<List<Writable>>) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
add(List<Writable>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
add(int, List<Writable>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
add(List<Writable>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch.RecordBatchListIterator
 
add(List<Writable>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
add(int, List<Writable>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
add(List<List<Writable>>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
add(int, List<List<Writable>>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
add(TimingStatistics) - Method in class org.datavec.perf.timing.TimingStatistics
Accumulate the given statistics
add(String, PythonVariables.Type) - Method in class org.datavec.python.PythonVariables
 
add(String, PythonVariables.Type, Object) - Method in class org.datavec.python.PythonVariables
 
add(Writable) - Method in class org.datavec.spark.transform.analysis.seqlength.SequenceLengthAnalysisCounter
 
add(SingleCSVRecord) - Method in class org.datavec.spark.transform.model.BatchCSVRecord
Add a record
add(SingleImageRecord) - Method in class org.datavec.spark.transform.model.BatchImageRecord
Add a record
add(URI) - Method in class org.datavec.spark.transform.model.BatchImageRecord
 
add(List<BatchCSVRecord>) - Method in class org.datavec.spark.transform.model.SequenceBatchCSVRecord
Add a record
add(Chromosome) - Method in class org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel
Add a Chromosome to the population and call the PopulationListeners.
add(CSVRecord) - Method in class org.deeplearning4j.nearestneighbor.model.BatchRecord
Add a record
add(ThresholdAlgorithm) - Method in class org.deeplearning4j.optimize.solvers.accumulation.encoding.threshold.FixedThresholdAlgorithm.FixedAlgorithmThresholdReducer
 
add(ThresholdAlgorithm) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.encoding.ThresholdAlgorithmReducer
Add a ThresholdAlgorithm instance to the reducer
add(E) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
add(INDArray) - Method in class org.deeplearning4j.rl4j.learning.HistoryProcessor
 
add(INDArray) - Method in interface org.deeplearning4j.rl4j.learning.IHistoryProcessor
 
add(TrainingListener) - Method in class org.deeplearning4j.rl4j.learning.listener.TrainingListenerList
Add a listener at the end of the list
add(INDArray) - Method in class org.deeplearning4j.rl4j.observation.preprocessor.pooling.CircularFifoObservationPool
Add an element to the pool, if this addition would make the pool to overflow, the added element replaces the oldest one.
add(INDArray) - Method in interface org.deeplearning4j.rl4j.observation.preprocessor.pooling.ObservationPool
 
Add - Class in org.deeplearning4j.spark.impl.common
Adds 2 ndarrays
Add() - Constructor for class org.deeplearning4j.spark.impl.common.Add
 
add(ValidationResult) - Method in class org.deeplearning4j.spark.util.data.ValidationResult
 
add(E) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
add(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
add(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
add(Loss, Loss) - Static method in class org.nd4j.autodiff.listeners.Loss
 
add(Loss) - Method in class org.nd4j.autodiff.listeners.Loss
 
add(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
add(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
Scalar addition: out = this + scalar
Output variable has the same shape as the input variable
add(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
add(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
Addition operation: elementwise this + x
If this and x variables have equal shape, the output shape is the same as the inputs.
add(T, T) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
Increments the entry specified by actual and predicted by one.
add(T, T, int) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
Increments the entry specified by actual and predicted by count.
add(ConfusionMatrix<T>) - Method in class org.nd4j.evaluation.classification.ConfusionMatrix
Adds the entries from another confusion matrix to this one.
add(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Scalar addition (cloning)
add(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Addition of this ndarray.
add(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Element-wise copy addition of two NDArrays
add(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Element-wise copy addition of two NDArrays
add(String) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
add(int, String) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
add(int[]) - Method in class org.nd4j.linalg.collection.IntArrayKeySet
 
add(Pair<K, V>) - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
Adds the specified element to this applyTransformToDestination if it is not already present (optional operation).
add(K, V) - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
 
add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
Add rows of data to the statistics
add(INDArray, INDArray) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
Add rows of data to the statistics
add(INDArray, INDArray) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
Add rows of data to the statistics
add(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast add op.
add(int, double) - Method in class org.nd4j.linalg.schedule.MapSchedule.Builder
Add a single point to the map schedule.
add(AbstractNumber) - Method in interface org.nd4j.linalg.util.AbstractNumber
 
add(K, V) - Method in class org.nd4j.linalg.util.LinkedMultiValueMap
 
add(K, V) - Method in interface org.nd4j.linalg.util.MultiValueMap
 
add(X) - Method in class org.nd4j.list.BaseNDArrayList
 
add(int, X) - Method in class org.nd4j.list.BaseNDArrayList
 
add(Double) - Method in class org.nd4j.list.NDArrayList
 
add(int, Double) - Method in class org.nd4j.list.NDArrayList
 
add(float, Nd4jCpu.NDArray) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
add(short, Nd4jCpu.NDArray) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
add(double, Nd4jCpu.NDArray) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
add(int, Nd4jCpu.NDArray) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
add(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.add
Pointer cast constructor.
add(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.add
Native array allocator.
add() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.add
 
add(Nd4jCpu.NDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.NDArray
addition operator: array + other other - input array to add
add(Object, int) - Method in class org.nd4j.util.Index
 
add(Object) - Method in class org.nd4j.util.Index
 
add_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.add_bp
Pointer cast constructor.
add_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.add_bp
Native array allocator.
add_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.add_bp
 
ADD_NAME - Static variable in class org.nd4j.graph.UIEventType
 
addA(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addAccumulator(Counter<Long>, Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
 
addAccumulator(ExtraCounter<Long>, ExtraCounter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
 
addAccumulator(Counter<Integer>, Counter<Integer>) - Method in class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
 
addAccumulator(Counter<String>, Counter<String>) - Method in class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
 
addAll(Collection<? extends List<List<Writable>>>) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
addAll(int, Collection<? extends List<List<Writable>>>) - Method in class org.datavec.api.writable.batch.AbstractTimeSeriesWritableRecordBatch
 
addAll(Collection<? extends List<Writable>>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
addAll(int, Collection<? extends List<Writable>>) - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch
 
addAll(Collection<? extends List<Writable>>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
addAll(int, Collection<? extends List<Writable>>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordBatch
 
addAll(Collection<? extends List<List<Writable>>>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
addAll(int, Collection<? extends List<List<Writable>>>) - Method in class org.datavec.arrow.recordreader.ArrowWritableRecordTimeSeriesBatch
 
addAll(Collection<? extends E>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
addAll(Collection<? extends E>) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
addAll(Collection<? extends String>) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
addAll(int, Collection<? extends String>) - Method in class org.nd4j.linalg.collection.CompactHeapStringList
 
addAll(Collection<? extends int[]>) - Method in class org.nd4j.linalg.collection.IntArrayKeySet
 
addAll(Collection<? extends Pair<K, V>>) - Method in class org.nd4j.linalg.collection.MultiDimensionalSet
Adds all of the elements in the specified collection to this applyTransformToDestination if they're not already present (optional operation).
addAll(Collection<? extends X>) - Method in class org.nd4j.list.BaseNDArrayList
 
addAll(int, Collection<? extends X>) - Method in class org.nd4j.list.BaseNDArrayList
 
addAll(Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList
 
addAll(int, Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList
 
addAllAllocationRecords(Iterable<? extends AllocationRecord>) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
addAllArgOrder(Iterable<String>) - Method in class org.tensorflow.framework.ApiDef.Builder
List of original in_arg names to specify new argument order.
addAllAssetFileDef(Iterable<? extends AssetFileDef>) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAllAttr(Iterable<? extends ApiDef.Attr>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
addAllAttr(Iterable<? extends OpDef.AttrDef>) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
addAllAttribute(Iterable<? extends Onnx.AttributeProto>) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAllAttribute(Iterable<? extends OnnxMl.AttributeProto>) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAllAttributes(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAllB(Iterable<? extends Boolean>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(bool)" repeated bool b = 5 [packed = true];
addAllBadConsumers(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.VersionDef.Builder
Specific consumer versions which are disallowed (e.g. due to bugs).
addAllBoolVal(Iterable<? extends Boolean>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_BOOL repeated bool bool_val = 11 [packed = true];
addAllBucket(Iterable<? extends Double>) - Method in class org.tensorflow.framework.HistogramProto.Builder
repeated double bucket = 7 [packed = true];
addAllBucketLimit(Iterable<? extends Double>) - Method in class org.tensorflow.framework.HistogramProto.Builder
Parallel arrays encoding the bucket boundaries and the bucket values.
addAllChildren(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addAllConstNodeInfo(Iterable<? extends GraphTransferConstNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addAllConstraint(Iterable<? extends KernelDef.AttrConstraint>) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addAllContainer(Iterable<String>) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
A list of container names.
addAllContainer(Iterable<String>) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
A list of container names, which may be empty.
addAllControlInput(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Ids of the control inputs for this node.
addAllControlOpIds(Iterable<? extends Long>) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
Control Operation IDs that will be respected when ops are re-ordered by async execution.
addAllCustomOptimizers(Iterable<? extends RewriterConfig.CustomGraphOptimizer>) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addAllDcomplexVal(Iterable<? extends Double>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
addAllDebugOps(Iterable<String>) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
Name(s) of the debugging op(s).
addAllDebugTensorWatchOpts(Iterable<? extends DebugTensorWatch>) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addAllDebugUrls(Iterable<String>) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
URL(s) for debug targets(s).
addAllDefaultGraphInputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addAllDefaultGraphOutputTensorShape(Iterable<? extends RemoteFusedGraphExecuteInfo.TensorShapeTypeProto>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addAllDeviceAttributes(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addAllDeviceAttributes(Iterable<? extends DeviceAttributes>) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addAllDeviceFilters(Iterable<String>) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
When any filters are present, only devices that match the filters will be reset.
addAllDeviceFilters(Iterable<String>) - Method in class org.tensorflow.framework.ConfigProto.Builder
When any filters are present sessions will ignore all devices which do not match the filters.
addAllDeviceName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
repeated string device_name = 4;
addAllDeviceName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
repeated string device_name = 5;
addAllDevicePersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder
Deprecated.
addAllDevStats(Iterable<? extends DeviceStepStats>) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addAllDim(Iterable<? extends Onnx.TensorShapeProto.Dimension>) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addAllDim(Iterable<? extends OnnxMl.TensorShapeProto.Dimension>) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addAllDim(Iterable<? extends TensorShapeProto.Dim>) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addAllDims(Iterable<? extends Long>) - Method in class onnx.Onnx.TensorProto.Builder
The shape of the tensor.
addAllDims(Iterable<? extends Long>) - Method in class onnx.OnnxMl.TensorProto.Builder
The shape of the tensor.
addAllDoubleData(Iterable<? extends Double>) - Method in class onnx.Onnx.TensorProto.Builder
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
addAllDoubleData(Iterable<? extends Double>) - Method in class onnx.OnnxMl.TensorProto.Builder
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
addAllDoubleVal(Iterable<? extends Double>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_DOUBLE.
addAllEnableOp(Iterable<String>) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
If present, only perform optimization for these ops.
addAllEndpoint(Iterable<? extends ApiDef.Endpoint>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addAllEnqueueOpName(Iterable<String>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of enqueue operations.
addAllExtent(Iterable<? extends TensorSliceProto.Extent>) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
addAllF(Iterable<? extends Float>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(float)" repeated float f = 4 [packed = true];
addAllFeed(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Tensors to be fed in future steps.
addAllFeed(Iterable<? extends TensorProto>) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addAllFeed(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addAllFeed(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be fed in the callable.
addAllFetch(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Fetches.
addAllFetch(Iterable<? extends TensorProto>) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addAllFetch(Iterable<String>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Fetches.
addAllFetch(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder
Fetches.
addAllFetchStepId(Iterable<? extends Long>) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
When set, requests all saved log data pertaining to the step.
addAllFloatData(Iterable<? extends Float>) - Method in class onnx.Onnx.TensorProto.Builder
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
addAllFloatData(Iterable<? extends Float>) - Method in class onnx.OnnxMl.TensorProto.Builder
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
addAllFloats(Iterable<? extends Float>) - Method in class onnx.Onnx.AttributeProto.Builder
list of floats repeated float floats = 7;
addAllFloats(Iterable<? extends Float>) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of floats repeated float floats = 7;
addAllFloatVal(Iterable<? extends Float>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_FLOAT.
addAllFullShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Shape of the full variable.
addAllFunc(Iterable<? extends NameAttrList>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)" repeated .tensorflow.NameAttrList func = 9;
addAllFunction(Iterable<? extends FunctionDef>) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
addAllGradient(Iterable<? extends GradientDef>) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
addAllGraphInputNodeInfo(Iterable<? extends GraphTransferGraphInputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addAllGraphInputNodeName(Iterable<String>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph input node name repeated string graph_input_node_name = 2;
addAllGraphKey(Iterable<? extends Long>) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
repeated int64 graph_key = 1;
addAllGraphOutputNodeInfo(Iterable<? extends GraphTransferGraphOutputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addAllGraphOutputNodeName(Iterable<String>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph output node name repeated string graph_output_node_name = 3;
addAllGraphs(Iterable<? extends Onnx.GraphProto>) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addAllGraphs(Iterable<? extends OnnxMl.GraphProto>) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addAllHalfVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_HALF, DT_BFLOAT16.
addAllHostMemoryArg(Iterable<String>) - Method in class org.tensorflow.framework.KernelDef.Builder
Names of the Op's input_/output_args that reside in host memory instead of device memory.
addAllI(Iterable<? extends Long>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(int)" repeated int64 i = 3 [packed = true];
addAllInArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
addAllInitializer(Iterable<? extends Onnx.TensorProto>) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addAllInitializer(Iterable<? extends OnnxMl.TensorProto>) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addAllInput(Iterable<? extends Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addAllInput(Iterable<String>) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value repeated string input = 1;
addAllInput(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addAllInput(Iterable<String>) - Method in class onnx.OnnxMl.NodeProto.Builder
namespace Value repeated string input = 1;
addAllInput(Iterable<String>) - Method in class org.tensorflow.framework.NodeDef.Builder
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addAllInputArg(Iterable<? extends OpDef.ArgDef>) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the input(s).
addAllInputInfo(Iterable<? extends CostGraphDef.Node.InputInfo>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addAllInputs(Iterable<? extends EagerServiceOuterClass.RemoteTensorHandle>) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addAllInt32Data(Iterable<? extends Integer>) - Method in class onnx.Onnx.TensorProto.Builder
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
addAllInt32Data(Iterable<? extends Integer>) - Method in class onnx.OnnxMl.TensorProto.Builder
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
addAllInt64Data(Iterable<? extends Long>) - Method in class onnx.Onnx.TensorProto.Builder
For int64.
addAllInt64Data(Iterable<? extends Long>) - Method in class onnx.OnnxMl.TensorProto.Builder
For int64.
addAllInt64Val(Iterable<? extends Long>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_INT64 repeated int64 int64_val = 10 [packed = true];
addAllInts(Iterable<? extends Long>) - Method in class onnx.Onnx.AttributeProto.Builder
list of ints repeated int64 ints = 8;
addAllInts(Iterable<? extends Long>) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of ints repeated int64 ints = 8;
addAllIntVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
addAllJob(Iterable<? extends JobDef>) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addAllKeys(Iterable<String>) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
Keys for tensors in the VariantTensorDataProto.
addAllLines(Iterable<String>) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
Line-by-line content of the source code file.
addAllLink(Iterable<? extends InterconnectLink>) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addAllLocalDevice(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addAllLoopEnterNames(Iterable<String>) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for enter tensors.
addAllLoopExitNames(Iterable<String>) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for exit tensors.
addAllMaxByteSize(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
repeated int32 max_byte_size = 2;
addAllMemory(Iterable<? extends AllocatorMemoryUsed>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addAllMemoryLimitMb(Iterable<? extends Float>) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
Per "virtual" device memory limit, in MB.
addAllMetadataProps(Iterable<? extends Onnx.StringStringEntryProto>) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addAllMetadataProps(Iterable<? extends OnnxMl.StringStringEntryProto>) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addAllMetaGraphs(Iterable<? extends MetaGraphDef>) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g. nested conds).
addAllNestedContexts(Iterable<? extends ControlFlowContextDef>) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g. nested whiles).
addAllNode(Iterable<? extends Onnx.NodeProto>) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addAllNode(Iterable<? extends OnnxMl.NodeProto>) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addAllNode(Iterable<? extends CostGraphDef.Node>) - Method in class org.tensorflow.framework.CostGraphDef.Builder
repeated .tensorflow.CostGraphDef.Node node = 1;
addAllNode(Iterable<? extends NodeDef>) - Method in class org.tensorflow.framework.GraphDef.Builder
repeated .tensorflow.NodeDef node = 1;
addAllNodeDef(Iterable<? extends NodeDef>) - Method in class org.tensorflow.framework.FunctionDef.Builder
By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addAllNodeInfo(Iterable<? extends GraphTransferNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addAllNodeInput(Iterable<? extends GraphTransferNodeInput>) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addAllNodeInputInfo(Iterable<? extends GraphTransferNodeInputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addAllNodeOutputInfo(Iterable<? extends GraphTransferNodeOutputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addAllNodes(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addAllNodeStats(Iterable<? extends NodeExecStats>) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
repeated .tensorflow.NodeExecStats node_stats = 2;
addAllocationRecords(AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
addAllocationRecords(int, AllocationRecord) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
addAllocationRecords(AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
addAllocationRecords(int, AllocationRecord.Builder) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
addAllocationRecordsBuilder() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
addAllocationRecordsBuilder(int) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
The allocation and deallocation timeline.
addAllOp(Iterable<? extends ApiDef>) - Method in class org.tensorflow.framework.ApiDefs.Builder
repeated .tensorflow.ApiDef op = 1;
addAllOp(Iterable<? extends OpDef>) - Method in class org.tensorflow.framework.OpList.Builder
repeated .tensorflow.OpDef op = 1;
addAllOperator(Iterable<? extends OnnxOperators.OperatorProto>) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addAllOpId(Iterable<? extends Long>) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
Ids to wait on.
addAllOpsetImport(Iterable<? extends Onnx.OperatorSetIdProto>) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addAllOpsetImport(Iterable<? extends OnnxMl.OperatorSetIdProto>) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addAllOptimizers(Iterable<String>) - Method in class org.tensorflow.framework.RewriterConfig.Builder
If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addAllOutArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addAllOutput(Iterable<? extends Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addAllOutput(Iterable<String>) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value repeated string output = 2;
addAllOutput(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addAllOutput(Iterable<String>) - Method in class onnx.OnnxMl.NodeProto.Builder
namespace Value repeated string output = 2;
addAllOutput(Iterable<? extends NodeOutput>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.NodeOutput output = 7;
addAllOutputArg(Iterable<? extends OpDef.ArgDef>) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the output(s).
addAllOutputInfo(Iterable<? extends CostGraphDef.Node.OutputInfo>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addAllPartitionGraph(Iterable<? extends GraphDef>) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addAllPartitionGraphs(Iterable<? extends GraphDef>) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addAllPersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 persistent_tensor_alloc_ids = 5;
addAllQueue(Iterable<? extends EagerServiceOuterClass.QueueItem>) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addAllQueueClosedExceptionTypes(Iterable<? extends Code>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllQueueClosedExceptionTypesValue(Iterable<Integer>) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addAllRecv(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addAllRecvKey(Iterable<String>) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
repeated string recv_key = 4;
addAllReferencedTensor(Iterable<? extends AllocationDescription>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addAllRemoteDevice(Iterable<? extends DeviceAttributes>) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addAllResourceHandleVal(Iterable<? extends ResourceHandleProto>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addAllS(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(string)" repeated bytes s = 2;
addAllScomplexVal(Iterable<? extends Float>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
addAllSend(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addAllSessionInterOpThreadPool(Iterable<? extends ThreadPoolOptionProto>) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addAllShape(Iterable<? extends TensorShapeProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
repeated int64 shape = 3;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
repeated int64 shape = 2;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
repeated int64 shape = 2;
addAllSlices(Iterable<? extends TensorSliceProto>) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addAllSlotVariables(Iterable<? extends CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference>) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addAllSourceFiles(Iterable<? extends DebuggedSourceFile>) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addAllStep(Iterable<? extends LabeledStepStats>) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addAllStepSequence(Iterable<? extends StepSequence>) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.Onnx.TensorProto.Builder
For strings.
addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.OnnxMl.TensorProto.Builder
For strings.
addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.Onnx.AttributeProto.Builder
list of UTF-8 strings repeated bytes strings = 9;
addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of UTF-8 strings repeated bytes strings = 9;
addAllStringVal(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_STRING repeated bytes string_val = 8;
addAllSubdivOffset(Iterable<? extends Integer>) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
repeated int32 subdiv_offset = 9;
addAllTags(Iterable<String>) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
User supplied tag(s) on the meta_graph and included graph_def.
addAllTarget(Iterable<String>) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Target Nodes.
addAllTarget(Iterable<String>) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Target Nodes.
addAllTarget(Iterable<String>) - Method in class org.tensorflow.framework.CallableOptions.Builder
Target Nodes.
addAllTaskName(Iterable<String>) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
task name prefixes of device_names repeated string task_name = 6;
addAllTensor(Iterable<? extends NamedTensorProto>) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addAllTensor(Iterable<? extends TensorProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addAllTensorConnection(Iterable<? extends TensorConnection>) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addAllTensors(Iterable<? extends Onnx.TensorProto>) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addAllTensors(Iterable<? extends OnnxMl.TensorProto>) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addAllTensors(Iterable<? extends TensorProto>) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
Tensors contained within objects being serialized.
addAllType(Iterable<? extends DataType>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
addAllTypeValue(Iterable<Integer>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(type)" repeated .tensorflow.DataType type = 6 [packed = true];
addAllUint32Val(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
addAllUint64Data(Iterable<? extends Long>) - Method in class onnx.Onnx.TensorProto.Builder
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64 repeated uint64 uint64_data = 11 [packed = true];
addAllUint64Data(Iterable<? extends Long>) - Method in class onnx.OnnxMl.TensorProto.Builder
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64 repeated uint64 uint64_data = 11 [packed = true];
addAllUint64Val(Iterable<? extends Long>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
addAllValue(Iterable<? extends Any>) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
repeated .google.protobuf.Any value = 1;
addAllValue(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
repeated bytes value = 1;
addAllValue(Iterable<? extends Float>) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
repeated float value = 1 [packed = true];
addAllValue(Iterable<? extends Long>) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
repeated int64 value = 1 [packed = true];
addAllValue(Iterable<String>) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
repeated string value = 1;
addAllValue(Iterable<? extends Summary.Value>) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addAllValueInfo(Iterable<? extends Onnx.ValueInfoProto>) - Method in class onnx.Onnx.GraphProto.Builder
Information for the values in the graph.
addAllValueInfo(Iterable<? extends OnnxMl.ValueInfoProto>) - Method in class onnx.OnnxMl.GraphProto.Builder
Information for the values in the graph.
addAllValues(Iterable<String>) - Method in class org.tensorflow.framework.ValuesDef.Builder
Value names that have been seen in this context.
addAllVariantVal(Iterable<? extends VariantTensorDataProto>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
addAllVarOffset(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Offset of this variable into the full variable.
addAllVarShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Shape of this variable.
addAllVirtualDevices(Iterable<? extends GPUOptions.Experimental.VirtualDevices>) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
The multi virtual device settings.
addArgOrder(String) - Method in class org.tensorflow.framework.ApiDef.Builder
List of original in_arg names to specify new argument order.
addArgOrderBytes(ByteString) - Method in class org.tensorflow.framework.ApiDef.Builder
List of original in_arg names to specify new argument order.
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.CropAndResize
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.image.ResizeBilinear
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.BaseLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.BaseLossBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.LogPoissonLossBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SigmoidCrossEntropyLossBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.bp.SoftmaxCrossEntropyLossBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.LogPoissonLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.SigmoidCrossEntropyLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.SoftmaxCrossEntropyLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.loss.SparseSoftmaxCrossEntropyLossWithLogits
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.BaseReductionBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumProdBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.bp.CumSumBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.reduce.custom.BatchMmul
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Create
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumProd
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.CumSum
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Dilation2D
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.DynamicPartition
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxArgs
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.FakeQuantWithMinMaxVars
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Fill
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.DynamicPartitionBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.NthElement
 
addArgs() - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
 
addArgsFor(String[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
Adds incoming arguments for the specified differential function to the graph
addArgsFor(SDVariable[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
Adds incoming arguments for the specified differential function to the graph
addArgument(String, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands
This method allows to pass array to the node identified by its name
addArgument(int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands
This method allows to pass array to the node identified by numeric id
addArgument(int, int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands
This method allows to pass array to multi-output node in the graph
addArgument(String, int, int, INDArray) - Method in class org.nd4j.autodiff.execution.input.Operands
This method allows to pass array to multi-output node in the graph
addArgumentInterceptor(ArgumentInterceptor) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add a new argument interceptor to the interceptor stack For internal use only.
addAssetFileDef(AssetFileDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDef(AssetFileDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDef(int, AssetFileDef.Builder) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDefBuilder() - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAssetFileDefBuilder(int) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
Asset file def to be used with the defined graph.
addAttr(ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(int, ApiDef.Attr) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(int, ApiDef.Attr.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
addAttr(OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(int, OpDef.AttrDef) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttr(int, OpDef.AttrDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttrBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
addAttrBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Attr attr = 6;
addAttrBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttrBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
repeated .tensorflow.OpDef.AttrDef attr = 4;
addAttribute(Onnx.AttributeProto) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttribute(int, Onnx.AttributeProto) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttribute(Onnx.AttributeProto.Builder) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttribute(int, Onnx.AttributeProto.Builder) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttribute(OnnxMl.AttributeProto) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttribute(int, OnnxMl.AttributeProto) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttribute(OnnxMl.AttributeProto.Builder) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttribute(int, OnnxMl.AttributeProto.Builder) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttributeBuilder() - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttributeBuilder(int) - Method in class onnx.Onnx.NodeProto.Builder
Additional named attributes.
addAttributeBuilder() - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttributeBuilder(int) - Method in class onnx.OnnxMl.NodeProto.Builder
Additional named attributes.
addAttributes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAttributesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Serialized data specific to this object.
addAuthHeader(HttpRequest) - Method in class org.deeplearning4j.nearestneighbor.client.NearestNeighborsClient
Add the specified authentication header to the specified HttpRequest
addAvailableButton(Button) - Method in class vizdoom.DoomGame
 
addAvailableButton(Button, double) - Method in class vizdoom.DoomGame
 
addAvailableGameVariable(GameVariable) - Method in class vizdoom.DoomGame
 
addB(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addB(boolean) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(bool)" repeated bool b = 5 [packed = true];
addBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef.Builder
Specific consumer versions which are disallowed (e.g. due to bugs).
addBArgument(boolean...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addBArgument(boolean...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addBArgument(boolean...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addBiasParam(String, long...) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
Add a bias parameter to the layer, with the specified shape.
addBin(double, double, double) - Method in class org.datavec.api.transform.ui.components.RenderableComponentHistogram.Builder
 
addBin(double, double, double) - Method in class org.deeplearning4j.ui.components.chart.ChartHistogram.Builder
Add a single bin
addBinlabels(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram
 
addBinranges(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHistogram
 
addBitmask(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addBool(String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addBool(String, boolean) - Method in class org.datavec.python.PythonVariables
Add a boolean variable to the set of variables
addBooleanArguments(boolean...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
This method takes arbitrary number of Integer arguments for op, Note that this ACCUMULATES arguments.
addBoolVal(boolean) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_BOOL repeated bool bool_val = 11 [packed = true];
addBos() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
addBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
AddBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp
Addition backprop operation.
AddBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.AddBpOp
 
AddBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.bp.AddBpOp
 
addBucket(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
repeated double bucket = 7 [packed = true];
addBucketLimit(double) - Method in class org.tensorflow.framework.HistogramProto.Builder
Parallel arrays encoding the bucket boundaries and the bucket values.
addBuffer(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
 
addByteOrder(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatArray
 
addCenter(INDArray) - Method in class org.deeplearning4j.clustering.cluster.CentersHolder
 
addChild(Trie.Node) - Method in class com.atilika.kuromoji.trie.Trie.Node
Adds a new child node to this node
addChildren(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildren(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildren(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildrenBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addChildrenBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Objects which this object depends on.
addClient(String, int) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
Deprecated.
 
addClient(String, int) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
 
addClient(String, int) - Method in class org.nd4j.parameterserver.distributed.transport.RoutedTransport
Deprecated.
 
addClient(String, int) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
Deprecated.
 
addClusterInfo(String) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
addColumn(ColumnMetaData) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a column
addColumnBoolean(String) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a boolean (binary true/false) column
addColumnCategorical(String, String...) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Categorical column, with the specified state names
addColumnCategorical(String, List<String>) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Categorical column, with the specified state names
addColumnDouble(String) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Double column with no restrictions on the allowable values, except for no NaN/infinite values allowed
addColumnDouble(String, Double, Double) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Double column with the specified restrictions (and no NaN/Infinite values allowed)
addColumnDouble(String, Double, Double, boolean, boolean) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Double column with the specified restrictions
addColumnFloat(String) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Float column with no restrictions on the allowable values, except for no NaN/infinite values allowed
addColumnFloat(String, Float, Float) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Float column with the specified restrictions (and no NaN/Infinite values allowed)
addColumnFloat(String, Float, Float, boolean, boolean) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Float column with the specified restrictions
addColumnInteger(String) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add an Integer column with no restrictions on the allowable values
addColumnInteger(String, Integer, Integer) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add an Integer column with the specified min/max allowable values
addColumnLong(String) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Long column, with no restrictions on the min/max values
addColumnLong(String, Long, Long) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Long column with the specified min/max allowable values
addColumnNDArray(String, long[]) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a NDArray column
addColumnsDouble(String...) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add multiple Double columns with no restrictions on the allowable values of the columns (other than no NaN/Infinite)
addColumnsDouble(String, int, int) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple Double columns.
addColumnsDouble(String, int, int, Double, Double, boolean, boolean) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple Double columns, with additional restrictions that apply to all columns For example, to add columns "myDoubleCol_0", "myDoubleCol_1", "myDoubleCol_2", use addColumnsDouble("myDoubleCol_%d",0,2,null,null,false,false)
addColumnsFloat(String...) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add multiple Float columns with no restrictions on the allowable values of the columns (other than no NaN/Infinite)
addColumnsFloat(String, int, int) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple Float columns.
addColumnsFloat(String, int, int, Float, Float, boolean, boolean) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple Float columns, with additional restrictions that apply to all columns For example, to add columns "myFloatCol_0", "myFloatCol_1", "myFloatCol_2", use addColumnsFloat("myFloatCol_%d",0,2,null,null,false,false)
addColumnsInteger(String...) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add multiple Integer columns with no restrictions on the min/max allowable values
addColumnsInteger(String, int, int) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple Integer columns.
addColumnsInteger(String, int, int, Integer, Integer) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple Integer columns.
addColumnsLong(String...) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add multiple Long columns, with no restrictions on the allowable values
addColumnsLong(String, int, int) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple Long columns.
addColumnsLong(String, int, int, Long, Long) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple Long columns.
addColumnsString(String...) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add multiple String columns with no restrictions on the allowable values
addColumnsString(String, int, int) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple numbered String columns.
addColumnsString(String, int, int, String, Integer, Integer) - Method in class org.datavec.api.transform.schema.Schema.Builder
A convenience method for adding multiple numbered String columns.
addColumnString(String) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a String column with no restrictions on the allowable values.
addColumnString(String, String, Integer, Integer) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a String column with the specified restrictions
addColumnTime(String, TimeZone) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Time column with no restrictions on the min/max allowable times NOTE: Time columns are represented by LONG (epoch millisecond) values.
addColumnTime(String, DateTimeZone) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Time column with no restrictions on the min/max allowable times NOTE: Time columns are represented by LONG (epoch millisecond) values.
addColumnTime(String, DateTimeZone, Long, Long) - Method in class org.datavec.api.transform.schema.Schema.Builder
Add a Time column with the specified restrictions NOTE: Time columns are represented by LONG (epoch millisecond) values.
addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Addition of a column vector (copy)
addColumnVector(Nd4jCpu.NDArray, Nd4jCpu.NDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.NDArray
add given column vector to all columns of this array, store result in target column - column vector to add target - where to store result
addCompletionHook(long, long, long) - Method in class org.deeplearning4j.spark.parameterserver.networking.v1.SilentTrainingDriver
Deprecated.
 
addCompletionHook(long, long, long) - Method in class org.nd4j.parameterserver.distributed.training.BaseTrainer
Deprecated.
 
addCompletionHook(long, long, long) - Method in interface org.nd4j.parameterserver.distributed.training.TrainingDriver
Deprecated.
 
addComponents(Component...) - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
Components to show internally in the accordion element
addConfiguration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addConfiguration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatInferenceRequest
 
addConnection(String) - Method in class org.nd4j.parameterserver.distributed.v2.transport.impl.AeronUdpTransport
 
addConstantColumn(String, ColumnType, Writable) - Method in class org.datavec.api.transform.TransformProcess.Builder
Add a new column, where all values in the column are identical and as specified.
AddConstantColumnTransform - Class in org.datavec.api.transform.transform.column
Add a new column, where the values in that column for all records are identical (according to the specified value)
AddConstantColumnTransform(String, ColumnType, Writable) - Constructor for class org.datavec.api.transform.transform.column.AddConstantColumnTransform
 
addConstantDoubleColumn(String, double) - Method in class org.datavec.api.transform.TransformProcess.Builder
Add a new double column, where the value for that column (for all records) are identical
addConstantIntegerColumn(String, int) - Method in class org.datavec.api.transform.TransformProcess.Builder
Add a new integer column, where th e value for that column (for all records) are identical
addConstantLongColumn(String, long) - Method in class org.datavec.api.transform.TransformProcess.Builder
Add a new integer column, where the value for that column (for all records) are identical
addConstantValue(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addConstNodeInfo(GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferConstNodeInfo const_node_info = 2;
addConstraint(KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(int, KernelDef.AttrConstraint) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraint(int, KernelDef.AttrConstraint.Builder) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraintBuilder() - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addConstraintBuilder(int) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addContainer(String) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
A list of container names.
addContainer(String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
A list of container names, which may be empty.
addContainerBytes(ByteString) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
A list of container names.
addContainerBytes(ByteString) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
A list of container names, which may be empty.
addControlDependency(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
Add a control dependency for this variable on the specified variable.
addControlDepFor(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addControlDepForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addControlDeps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addControlDepsForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addControlDepsForVar(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addControlDepsForVar(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Ids of the control inputs for this node.
addControlOpIds(long) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
Control Operation IDs that will be respected when ops are re-ordered by async execution.
addCountinf(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCountnan(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCountnegative(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCountpositive(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCountzero(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizers(RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizers(int, RewriterConfig.CustomGraphOptimizer.Builder) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder() - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addCustomOptimizersBuilder(int) - Method in class org.tensorflow.framework.RewriterConfig.Builder
list of CustomGraphOptimizers to apply.
addD(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addDataForArr(FlatBufferBuilder, INDArray) - Static method in class org.nd4j.arrow.ArrowSerde
Create a Buffer representing the location metadata of the actual data contents for the ndarrays' DataBuffer
addDatatype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIVariable
 
addDcomplexVal(double) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
addDebugOps(String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
Name(s) of the debugging op(s).
addDebugOpsBytes(ByteString) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
Name(s) of the debugging op(s).
addDebugTensorWatchOpts(DebugTensorWatch) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOpts(int, DebugTensorWatch) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOpts(DebugTensorWatch.Builder) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOpts(int, DebugTensorWatch.Builder) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOptsBuilder() - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugTensorWatchOptsBuilder(int) - Method in class org.tensorflow.framework.DebugOptions.Builder
Debugging options repeated .tensorflow.DebugTensorWatch debug_tensor_watch_opts = 4;
addDebugUrls(String) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
URL(s) for debug targets(s).
addDebugUrlsBytes(ByteString) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
URL(s) for debug targets(s).
addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphInputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_input_tensor_shape = 6;
addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShape(int, RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultGraphOutputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op TODO(satok): Remote output tensor shape once shape information is stored in NodeDef repeated .tensorflow.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto default_graph_output_tensor_shape = 7;
addDefaultResource(String) - Static method in class org.datavec.api.conf.Configuration
Add a default resource.
addDependenciesForOp(String, AbstractSession.FrameIter) - Method in class org.nd4j.autodiff.samediff.internal.AbstractSession
Suppose operation X has just been executed.
addDependency(T, D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker
Add a dependency: y depends on x, as in x -> y
addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addDeviceAttributes(DeviceAttributes) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributes(DeviceAttributes) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributes(int, DeviceAttributes) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributes(DeviceAttributes.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributes(int, DeviceAttributes.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributesBuilder() - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributesBuilder(int) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
repeated .tensorflow.DeviceAttributes device_attributes = 1;
addDeviceAttributesBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceAttributesBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
List of devices that are locally accessible to the worker.
addDeviceFilters(String) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
When any filters are present, only devices that match the filters will be reset.
addDeviceFilters(String) - Method in class org.tensorflow.framework.ConfigProto.Builder
When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
When any filters are present, only devices that match the filters will be reset.
addDeviceFiltersBytes(ByteString) - Method in class org.tensorflow.framework.ConfigProto.Builder
When any filters are present sessions will ignore all devices which do not match the filters.
addDeviceName(String) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
repeated string device_name = 4;
addDeviceName(String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
repeated string device_name = 5;
addDeviceNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
repeated string device_name = 4;
addDeviceNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
repeated string device_name = 5;
addDevicePersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
Deprecated.
addDevStats(DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(int, DeviceStepStats) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStats(int, DeviceStepStats.Builder) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStatsBuilder() - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDevStatsBuilder(int) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addDict(String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addDict(String, Map) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addDim(Onnx.TensorShapeProto.Dimension) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, Onnx.TensorShapeProto.Dimension) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(Onnx.TensorShapeProto.Dimension.Builder) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, Onnx.TensorShapeProto.Dimension.Builder) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(OnnxMl.TensorShapeProto.Dimension) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, OnnxMl.TensorShapeProto.Dimension) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, OnnxMl.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(int, TensorShapeProto.Dim) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDim(int, TensorShapeProto.Dim.Builder) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimBuilder() - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder(int) - Method in class onnx.Onnx.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder() - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder(int) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimBuilder(int) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
addDimensions(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addDims(long) - Method in class onnx.Onnx.TensorProto.Builder
The shape of the tensor.
addDims(long) - Method in class onnx.OnnxMl.TensorProto.Builder
The shape of the tensor.
addDirection(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
 
addDistribution(int, ReconstructionDistribution) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution.Builder
Add another distribution to the composite distribution.
addDoubleData(double) - Method in class onnx.Onnx.TensorProto.Builder
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
addDoubleData(double) - Method in class onnx.OnnxMl.TensorProto.Builder
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
addDoubleVal(double) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_DOUBLE.
addDownstreamNode(MeshOrganizer.Node) - Method in class org.nd4j.parameterserver.distributed.v2.util.MeshOrganizer.Node
This method adds downstream node to the list of connections
addDtype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatArray
 
addDtype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatVariable
 
addedEdges - Variable in class org.nd4j.linalg.api.ops.impl.reduce.TensorMmul
 
addEdge(int, int, E, boolean) - Method in class org.deeplearning4j.graph.api.BaseGraph
 
addEdge(Edge<E>) - Method in interface org.deeplearning4j.graph.api.IGraph
Add an edge to the graph.
addEdge(int, int, E, boolean) - Method in interface org.deeplearning4j.graph.api.IGraph
Convenience method for adding an edge (directed or undirected) to graph
addEdge(Edge<E>) - Method in class org.deeplearning4j.graph.graph.Graph
 
addEdge(Edge<E>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
addEdge(int, int, E, boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
Convenience method for adding an edge (directed or undirected) to graph
addEdge(Edge<E>) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Add an edge to the graph.
addEdge(int, int, E, boolean) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Convenience method for adding an edge (directed or undirected) to graph
addElement(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Adds single element to sequence
addElement(VoidMessage) - Method in interface org.nd4j.parameterserver.distributed.messages.Chain
Deprecated.
 
addElement(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.training.chains.CbowChain
 
addElement(VoidMessage) - Method in class org.nd4j.parameterserver.distributed.training.chains.SkipGramChain
 
addElements(Collection<T>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Adds collection of elements to the sequence
addEnableOp(String) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
If present, only perform optimization for these ops.
addEnableOpBytes(ByteString) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
If present, only perform optimization for these ops.
addEndpoint(ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(int, ApiDef.Endpoint) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpoint(int, ApiDef.Endpoint.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpointBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEndpointBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
addEnqueueOpName(String) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of enqueue operations.
addEnqueueOpNameBytes(ByteString) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of enqueue operations.
addEntry(String) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
addEos() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
addEpoch(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addEvaluations(boolean, String, int, IEvaluation...) - Method in class org.nd4j.autodiff.listeners.ListenerEvaluations.Builder
Add requested evaluations for a parm/variable, for either training or validation
addEvaluations(boolean, String, int, IEvaluation...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder
Add requested evaluations for a parm/variable, for either training or validation.
addEventSubType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIEvent
 
addEventType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIEvent
 
addExecutionMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
 
addExtent(TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
addExtent(int, TensorSliceProto.Extent) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
addExtent(TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
addExtent(int, TensorSliceProto.Extent.Builder) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
addExtentBuilder() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
addExtentBuilder(int) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
Extent of the slice in all tensor dimensions.
addExtraBools(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addExtraInteger(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addExtraParams(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addF(float) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(float)" repeated float f = 4 [packed = true];
addFeatures(long[], RandomMultiDataSetIterator.Values) - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator.Builder
Add a new features array to the iterator
addFeatures(long[], char, RandomMultiDataSetIterator.Values) - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator.Builder
Add a new features array to the iterator
addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
Add the features of a DataSet to the statistics
addFeatures(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
Add the features of a DataSet to the statistics
addFeatures(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
 
addFeatureVector(INDArray) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
addFeatureVector(INDArray, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
addFeatureVector(INDArray) - Method in class org.nd4j.linalg.dataset.DataSet
Adds a feature for each example on to the current feature vector
addFeatureVector(INDArray, int) - Method in class org.nd4j.linalg.dataset.DataSet
The feature to add, and the example/row number
addFeed(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Tensors to be fed in future steps.
addFeed(TensorProto) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeed(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeed(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeed(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeed(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeed(String) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be fed in the callable.
addFeedBuilder() - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
Values of the tensors passed as arguments to the callable, in the order defined in the CallableOptions.feed field passed to MakeCallable.
addFeedBuilder() - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeedBuilder(int) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Tensors to be fed in the step.
addFeedBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Tensors to be fed in future steps.
addFeedBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be fed in the callable.
addFetch(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Fetches.
addFetch(TensorProto) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(int, TensorProto) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(int, TensorProto.Builder) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetch(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Fetches.
addFetch(String) - Method in class org.tensorflow.framework.CallableOptions.Builder
Fetches.
addFetchBuilder() - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetchBuilder(int) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
Values of the tensors returned by the callable, in the order defined in the CallableOptions.fetch field passed to MakeCallable.
addFetchBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Fetches.
addFetchBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Fetches.
addFetchBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder
Fetches.
addFetchStepId(long) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
When set, requests all saved log data pertaining to the step.
addField(String...) - Method in class org.datavec.api.records.reader.impl.jackson.FieldSelection.Builder
 
addField(Writable, String...) - Method in class org.datavec.api.records.reader.impl.jackson.FieldSelection.Builder
 
addFile(String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addFile(String, String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addFirst(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntPair
 
addFirst(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple
 
addFirst(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongPair
 
addFirst(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple
 
addFloat(String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addFloat(String, double) - Method in class org.datavec.python.PythonVariables
Add a double variable to the set of variables
addFloat(String, float) - Method in class org.datavec.python.PythonVariables
Add a float variable to the set of variables
addFloatData(float) - Method in class onnx.Onnx.TensorProto.Builder
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
addFloatData(float) - Method in class onnx.OnnxMl.TensorProto.Builder
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing in the subsequent even numbered position.
addFloatingPointArguments(Double...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
This method takes arbitrary number of Double arguments for op, Note that this ACCUMULATES arguments.
addFloats(float) - Method in class onnx.Onnx.AttributeProto.Builder
list of floats repeated float floats = 7;
addFloats(float) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of floats repeated float floats = 7;
addFloatVal(float) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_FLOAT.
addFootprintBackward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration
 
addFootprintBackward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult
 
addFootprintForward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration
 
addFootprintForward(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult
 
addFrame(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FrameIteration
 
addFrameIter(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addFreq(int, int) - Method in class org.ansj.domain.PersonNatureAttr
设置
addFullShape(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Shape of the full variable.
addFunc(NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFunc(int, NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFunc(NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFuncBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFuncBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)" repeated .tensorflow.NameAttrList func = 9;
addFunction(FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
addFunction(int, FunctionDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
addFunction(FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
addFunction(int, FunctionDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
addFunctionBuilder() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
addFunctionBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.FunctionDef function = 1;
addGameArgs(String) - Method in class vizdoom.DoomGame
 
addGpuMemory(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIHardwareState
 
addGradient(GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
addGradient(int, GradientDef) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
addGradient(GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
addGradient(int, GradientDef.Builder) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
addGradientBuilder() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
addGradientBuilder(int) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
repeated .tensorflow.GradientDef gradient = 2;
addGradientVariable(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfo(GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfo(int, GraphTransferGraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph repeated .tensorflow.GraphTransferGraphInputNodeInfo graph_input_node_info = 5;
addGraphInputNodeName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph input node name repeated string graph_input_node_name = 2;
addGraphInputNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph input node name repeated string graph_input_node_name = 2;
addGraphKey(long) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
repeated int64 graph_key = 1;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferGraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferGraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph output node name repeated string graph_output_node_name = 3;
addGraphOutputNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph output node name repeated string graph_output_node_name = 3;
addGraphs(Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphs(int, Onnx.GraphProto) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphs(Onnx.GraphProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphs(int, Onnx.GraphProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphs(OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphs(int, OnnxMl.GraphProto) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphs(OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphs(int, OnnxMl.GraphProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphsBuilder() - Method in class onnx.Onnx.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphsBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addGraphsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of graph repeated .onnx.GraphProto graphs = 11;
addHalfVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_HALF, DT_BFLOAT16.
addHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Add a hook for the master for pre and post training
addHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Add a training hook to be used during training of the worker
addHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
Add a hook for the master for pre and post training
addHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
Add a training hook to be used during training of the worker
addHook(TrainingHook) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
addHook(TrainingHook) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
addHook(Long, Long, Long) - Method in class org.nd4j.parameterserver.distributed.logic.completion.FrameCompletionHandler
Deprecated.
 
addHostMemory(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIHardwareState
 
addHostMemoryArg(String) - Method in class org.tensorflow.framework.KernelDef.Builder
Names of the Op's input_/output_args that reside in host memory instead of device memory.
addHostMemoryArgBytes(ByteString) - Method in class org.tensorflow.framework.KernelDef.Builder
Names of the Op's input_/output_args that reside in host memory instead of device memory.
addi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
addi(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
addI(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place scalar addition
addi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place addition
addi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
in place (element wise) addition of two NDArrays
addi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
in place (element wise) addition of two NDArrays
addI(long) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(int)" repeated int64 i = 3 [packed = true];
addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addIArgument(long...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addIArgument(int...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addIArgument(long...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addIArgument(long...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.custom.Assign
 
addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place addition of a column vector
addiColumnVector(Nd4jCpu.NDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.NDArray
add given column vector to all columns of this array, this array becomes affected (in-place operation) column - column vector to add
addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatConfiguration
 
addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatDropRequest
 
addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatGraph
 
addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatInferenceRequest
 
addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addId(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatResult
 
addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming
 
addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addImageTransform(ImageTransform) - Method in class org.datavec.image.transform.PipelineImageTransform.Builder
This method adds given transform with 100% invocation probability to this pipelien
addImageTransform(ImageTransform, Double) - Method in class org.datavec.image.transform.PipelineImageTransform.Builder
This method adds given transform with given invocation probability to this pipelien
addInArg(ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArgBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
addInfoType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.UIStaticInfoRecord
 
addInitializer(Onnx.TensorProto) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, Onnx.TensorProto) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, Onnx.TensorProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, OnnxMl.TensorProto) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializerBuilder() - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializerBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializerBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializerBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInPlace(Counter<Long>, Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
 
addInPlace(ExtraCounter<Long>, ExtraCounter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
 
addInPlace(Counter<Integer>, Counter<Integer>) - Method in class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
 
addInPlace(Counter<String>, Counter<String>) - Method in class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
 
addInput(Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInput(Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInput(String) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value repeated string input = 1;
addInput(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInput(OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInput(String) - Method in class onnx.OnnxMl.NodeProto.Builder
namespace Value repeated string input = 1;
addInput(String) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Set as an input, the entire contents (all columns) of the RecordReader or SequenceRecordReader
addInput(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Set as an input, a subset of the specified RecordReader or SequenceRecordReader
addInput(INDArray...) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
addInput(INDArray[], INDArray[]) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
addInput(INDArray...) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
addInput(INDArray[], INDArray[]) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
addInput(INDArray[], INDArray[]) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
addInput(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addInput(String) - Method in class org.tensorflow.framework.NodeDef.Builder
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addInputArg(OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the input(s).
addInputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the input(s).
addInputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the input(s).
addInputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the input(s).
addInputArgBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
Description of the input(s).
addInputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the input(s).
addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addInputArgument(INDArray...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addInputBuilder() - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder
The inputs and outputs of the graph.
addInputBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value repeated string input = 1;
addInputBytes(ByteString) - Method in class onnx.OnnxMl.NodeProto.Builder
namespace Value repeated string input = 1;
addInputBytes(ByteString) - Method in class org.tensorflow.framework.NodeDef.Builder
Each input is "node:src_output" with "node" being a string name and "src_output" indicating which output tensor to use from "node".
addInputInfo(CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(int, CostGraphDef.Node.InputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfo(int, CostGraphDef.Node.InputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfoBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.InputInfo input_info = 4;
addInputOneHot(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Add as an input a single column from the specified RecordReader / SequenceRecordReader The assumption is that the specified column contains integer values in range 0..numClasses-1; this integer will be converted to a one-hot representation
addInputPaired(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addInputs(String...) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
addInputs(String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Specify the inputs to the network, and their associated labels.
addInputs(Collection<String>) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Specify the inputs to the network, and their associated labels.
addInputs(String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
 
addInputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addInputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addInputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
This method takes arbitrary number of input INDArrays in, as Op input Note that this ACCUMULATES arguments.
addInputs(EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(int, EagerServiceOuterClass.RemoteTensorHandle) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputs(int, EagerServiceOuterClass.RemoteTensorHandle.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputsBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputsBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
repeated .tensorflow.eager.RemoteTensorHandle inputs = 3;
addInputsForOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addInputsPair(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addInt(String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addInt(String, int) - Method in class org.datavec.python.PythonVariables
Add an int variable to the set of variables
addInt(String, long) - Method in class org.datavec.python.PythonVariables
Add a long variable to the set of variables
addInt32Data(int) - Method in class onnx.Onnx.TensorProto.Builder
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
addInt32Data(int) - Method in class onnx.OnnxMl.TensorProto.Builder
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
addInt64Data(long) - Method in class onnx.Onnx.TensorProto.Builder
For int64.
addInt64Data(long) - Method in class onnx.OnnxMl.TensorProto.Builder
For int64.
addInt64Val(long) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_INT64 repeated int64 int64_val = 10 [packed = true];
addIntegerArguments(List<Integer>) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
This method takes arbitrary number of Integer arguments for op, Note that this ACCUMULATES arguments.
addIntegerArguments(long) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
This method takes arbitrary number of Integer arguments for op, Note that this ACCUMULATES arguments.
addIntegerArguments(int...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
This method takes arbitrary number of Integer arguments for op, Note that this ACCUMULATES arguments.
addIntegerDerivedColumn(String, DateTimeFieldType) - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform.Builder
Add an integer derived column - for example, the hour of day, etc.
addInterceptor(Class<T>, MessageCallable<T>) - Method in class org.nd4j.parameterserver.distributed.v2.transport.impl.AeronUdpTransport
This method add interceptor for incoming messages.
addInterceptor(Class<T>, MessageCallable<T>) - Method in class org.nd4j.parameterserver.distributed.v2.transport.impl.DummyTransport
This method add interceptor for incoming messages.
addInts(long) - Method in class onnx.Onnx.AttributeProto.Builder
list of ints repeated int64 ints = 8;
addInts(long) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of ints repeated int64 ints = 8;
addIntVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
addIpAddress(String) - Method in class org.nd4j.parameterserver.distributed.util.NetworkInformation
 
addiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place addition of a row vector
addiRowVector(Nd4jCpu.NDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.NDArray
add given row vector to all rows of this array row - row vector to add
addIteration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FrameIteration
 
addIteration(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addJob(JobDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJob(int, JobDef) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJob(JobDef.Builder) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJob(int, JobDef.Builder) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJobBuilder() - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addJobBuilder(int) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
The jobs that comprise the cluster.
addKeyFile(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
addKeys(String) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
Keys for tensors in the VariantTensorDataProto.
addKeysBytes(ByteString) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
Keys for tensors in the VariantTensorDataProto.
addL(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addLabel(String) - Method in class org.deeplearning4j.text.documentiterator.LabelledDocument
 
addLabelForDoc(int, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Add word to a document
addLabelForDoc(int, String) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addLabels(long[], RandomMultiDataSetIterator.Values) - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator.Builder
Add a new labels array to the iterator
addLabels(long[], char, RandomMultiDataSetIterator.Values) - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator.Builder
Add a new labels array to the iterator
addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
Add the labels of a DataSet to the statistics
addLabels(DataSet) - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
Add the labels of a DataSet to the statistics
addLabels(DataSet) - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
Add the labels of a DataSet to the statistics
addLabelsForDoc(int, List<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Add word to a document
addLabelsForDoc(int, Collection<String>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addLane(String, List<ChartTimeline.TimelineEntry>) - Method in class org.deeplearning4j.ui.components.chart.ChartTimeline.Builder
 
addLayer(String, LayerSpace<? extends Layer>, String...) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
addLayer(String, LayerSpace<? extends Layer>, InputPreProcessor, String...) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
addLayer(LayerSpace<?>) - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
addLayer(LayerSpace<? extends Layer>, ParameterSpace<Integer>, boolean) - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
Deprecated.
addLayer(LayerSpace<? extends Layer>, ParameterSpace<Integer>) - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
addLayer(String, Layer, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer, with no InputPreProcessor, with the specified name and specified inputs.
addLayer(String, Layer, InputPreProcessor, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer and an InputPreProcessor, with the specified name and specified inputs.
addLayer(Layer) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Add layers to the net Required if layers are removed.
addLayer(String, Layer, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Add a layer of the specified configuration to the computation graph
addLayer(String, Layer, InputPreProcessor, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Add a layer with a specified preprocessor
addLayers(ComputationGraphConfiguration.GraphBuilder, int, int, int, int, int) - Static method in class org.deeplearning4j.zoo.model.helper.DarknetHelper
 
addLayers(ComputationGraphConfiguration.GraphBuilder, int, int, int, int, int, int) - Static method in class org.deeplearning4j.zoo.model.helper.DarknetHelper
 
addLayers(ComputationGraphConfiguration.GraphBuilder, int, String, int, int, int, int, int) - Static method in class org.deeplearning4j.zoo.model.helper.DarknetHelper
 
addLines(String) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
Line-by-line content of the source code file.
addLinesBytes(ByteString) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
Line-by-line content of the source code file.
addLink(InterconnectLink) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLink(InterconnectLink.Builder) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLink(int, InterconnectLink.Builder) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder() - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addLinkBuilder(int) - Method in class org.tensorflow.framework.LocalLinks.Builder
repeated .tensorflow.InterconnectLink link = 1;
addList(String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addList(String, Object[]) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addList(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArrayList
 
addListener(PopulationListener) - Method in class org.deeplearning4j.arbiter.optimize.generator.genetic.population.PopulationModel
Add a PopulationListener to the list of change listeners
addListener(TrainingListener) - Method in class org.deeplearning4j.rl4j.learning.async.AsyncLearning
Add a TrainingListener listener at the end of the listener list.
addListener(TrainingListener) - Method in class org.deeplearning4j.rl4j.learning.sync.SyncLearning
Add a listener at the end of the listener list.
addListener(OpProfiler.OpProfilerListener) - Method in class org.nd4j.linalg.profiler.OpProfiler
dd the listener to the profiler
addListeners(StatusListener...) - Method in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
addListeners(StatusListener...) - Method in interface org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner
 
addListeners(TrainingListener...) - Method in interface org.deeplearning4j.nn.api.Model
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
addListeners(Listener...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add SameDiff-wide Listener instances.
addListeners(Collection<? extends Listener>) - Method in class org.nd4j.autodiff.samediff.SameDiff
addLocalDevice(DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDeviceBuilder() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLocalDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes local_device = 1;
addLoopEnterNames(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for enter tensors.
addLoopEnterNamesBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for enter tensors.
addLoopExitNames(String) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for exit tensors.
addLoopExitNamesBytes(ByteString) - Method in class org.tensorflow.framework.WhileContextDef.Builder
List of names for exit tensors.
addLossAndCopy(Loss) - Method in class org.nd4j.autodiff.listeners.records.LossCurve
Return a new LossCurve with the given losses added on as the most recent epoch
addLossAndCopy(double[], List<String>) - Method in class org.nd4j.autodiff.listeners.records.LossCurve
Return a new LossCurve with the given losses added on as the most recent epoch
addLossVariable(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Mark the specified variable as a loss function variable.
addLossVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
addLossVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addMapping(int, int) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
addMapping(int, int) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler
 
addMax(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
repeated int32 max_byte_size = 2;
addMean(FlatBufferBuilder, double) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addMemory(AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(int, AllocatorMemoryUsed) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemory(int, AllocatorMemoryUsed.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addMemoryLimitMb(float) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
Per "virtual" device memory limit, in MB.
addMemoryTransaction(int, long, long) - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker
This method stores bandwidth used for given transaction.
addMemoryTransaction(int, long, long, MemcpyDirection) - Method in class org.nd4j.linalg.api.ops.performance.PerformanceTracker
This method stores bandwidth used for given transaction.
addMessage(Long) - Method in class org.nd4j.parameterserver.distributed.logic.completion.FrameCompletionHandler.FrameDescriptor
Deprecated.
 
addMetadataProps(Onnx.StringStringEntryProto) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, Onnx.StringStringEntryProto) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, Onnx.StringStringEntryProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, OnnxMl.StringStringEntryProto) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, OnnxMl.StringStringEntryProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder() - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetaGraphs(MetaGraphDef) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphs(MetaGraphDef.Builder) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphs(int, MetaGraphDef.Builder) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphsBuilder() - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMetaGraphsBuilder(int) - Method in class org.tensorflow.framework.SavedModel.Builder
One or more MetaGraphs.
addMin(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addModelHolder(Integer, InplaceParallelInference.ModelHolder) - Method in class org.deeplearning4j.parallelism.InplaceParallelInference.ModelSelector
 
addModelParamsSubscriber(Subscriber<INDArray>) - Method in class org.nd4j.parameterserver.distributed.v2.ModelParameterServer
This method adds subcriber that will be called upon model params receival
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIAddName
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addNameIdx(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIAddName
 
addNameIdx(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addNDArray(String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addNDArray(String, NumpyArray) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addNDArray(String, INDArray) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addNdarray(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g. nested conds).
addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g. nested conds).
addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g. nested conds).
addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g. nested conds).
addNestedContexts(ControlFlowContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(int, ControlFlowContextDef) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g. nested whiles).
addNestedContexts(int, ControlFlowContextDef.Builder) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g. nested whiles).
addNestedContextsBuilder() - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g. nested conds).
addNestedContextsBuilder(int) - Method in class org.tensorflow.framework.CondContextDef.Builder
Contexts contained inside this context (e.g. nested conds).
addNestedContextsBuilder() - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g. nested whiles).
addNestedContextsBuilder(int) - Method in class org.tensorflow.framework.WhileContextDef.Builder
Contexts contained inside this context (e.g. nested whiles).
addNewClusterWithCenter(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
addNewLocation() - Method in class org.datavec.api.split.BaseInputSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.BaseInputSplit
 
addNewLocation() - Method in class org.datavec.api.split.FileSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.FileSplit
 
addNewLocation() - Method in interface org.datavec.api.split.InputSplit
Add a new location with the name generated by this input split/
addNewLocation(String) - Method in interface org.datavec.api.split.InputSplit
Add a new location to this input split (this may do anything from updating an in memory location to creating a new file)
addNewLocation() - Method in class org.datavec.api.split.InputStreamInputSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.InputStreamInputSplit
 
addNewLocation() - Method in class org.datavec.api.split.ListStringSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.ListStringSplit
 
addNewLocation() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.NumberedFileInputSplit
 
addNewLocation() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.OutputStreamInputSplit
 
addNewLocation() - Method in class org.datavec.api.split.StreamInputSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.StreamInputSplit
 
addNewLocation() - Method in class org.datavec.api.split.StringSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.StringSplit
 
addNode(Onnx.NodeProto) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNode(int, Onnx.NodeProto) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNode(Onnx.NodeProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNode(int, Onnx.NodeProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNode(OnnxMl.NodeProto) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNode(int, OnnxMl.NodeProto) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNode(OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNode(int, OnnxMl.NodeProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNode(String) - Method in class org.nd4j.parameterserver.distributed.v2.util.MeshOrganizer
This method adds new node to the network PLEASE NOTE: Default port 40123 is used
addNode(String, int) - Method in class org.nd4j.parameterserver.distributed.v2.util.MeshOrganizer
This methods adds new node to the network
addNode(MeshOrganizer.Node) - Method in class org.nd4j.parameterserver.distributed.v2.util.MeshOrganizer
This method adds new node to the mesh
addNode(CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder
repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(int, CostGraphDef.Node) - Method in class org.tensorflow.framework.CostGraphDef.Builder
repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder
repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(int, CostGraphDef.Node.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Builder
repeated .tensorflow.CostGraphDef.Node node = 1;
addNode(NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder
repeated .tensorflow.NodeDef node = 1;
addNode(int, NodeDef) - Method in class org.tensorflow.framework.GraphDef.Builder
repeated .tensorflow.NodeDef node = 1;
addNode(NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
repeated .tensorflow.NodeDef node = 1;
addNode(int, NodeDef.Builder) - Method in class org.tensorflow.framework.GraphDef.Builder
repeated .tensorflow.NodeDef node = 1;
addNodeAtIndex(int, INDArray) - Method in class org.deeplearning4j.clustering.randomprojection.RPTree
 
addNodeBuilder() - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNodeBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder
The nodes in the graph.
addNodeBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNodeBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder
The nodes in the graph.
addNodeBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Builder
repeated .tensorflow.CostGraphDef.Node node = 1;
addNodeBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Builder
repeated .tensorflow.CostGraphDef.Node node = 1;
addNodeBuilder() - Method in class org.tensorflow.framework.GraphDef.Builder
repeated .tensorflow.NodeDef node = 1;
addNodeBuilder(int) - Method in class org.tensorflow.framework.GraphDef.Builder
repeated .tensorflow.NodeDef node = 1;
addNodeDef(NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(int, NodeDef) - Method in class org.tensorflow.framework.FunctionDef.Builder
By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder
By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDef(int, NodeDef.Builder) - Method in class org.tensorflow.framework.FunctionDef.Builder
By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDefBuilder() - Method in class org.tensorflow.framework.FunctionDef.Builder
By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeDefBuilder(int) - Method in class org.tensorflow.framework.FunctionDef.Builder
By convention, "op" in node_def is resolved by consulting with a user-defined library first.
addNodeInfo(GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfo(int, GraphTransferNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInfo node_info = 1;
addNodeInput(GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(GraphTransferNodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInput(int, GraphTransferNodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder() - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputBuilder(int) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
repeated .tensorflow.GraphTransferNodeInput node_input = 2;
addNodeInputInfo(GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferNodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeInputInfo node_input_info = 3;
addNodeOutputInfo(GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferNodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferNodeOutputInfo node_output_info = 4;
addNodes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addNodes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodes(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
repeated .tensorflow.CheckpointableObjectGraph.CheckpointableObject nodes = 1;
addNodeStats(NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(int, NodeExecStats) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStats(int, NodeExecStats.Builder) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStatsBuilder() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
repeated .tensorflow.NodeExecStats node_stats = 2;
addNodeStatsBuilder(int) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
repeated .tensorflow.NodeExecStats node_stats = 2;
addNormalizerToModel(File, Normalizer<?>) - Static method in class org.deeplearning4j.util.ModelSerializer
This method appends normalizer to a given persisted model.
addNumbins(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIHistogram
 
addObjectToArray(A[], O) - Static method in class org.nd4j.linalg.io.ObjectUtils
 
addObjectToFile(File, String, Object) - Static method in class org.deeplearning4j.util.ModelSerializer
Add an object to the (already existing) model file using Java Object Serialization.
addObserver(Observer) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
AddOp - Class in org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic
Addition operation
AddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
 
AddOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
 
AddOp(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
 
AddOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.pairwise.arithmetic.AddOp
 
addOp(ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder
repeated .tensorflow.ApiDef op = 1;
addOp(int, ApiDef) - Method in class org.tensorflow.framework.ApiDefs.Builder
repeated .tensorflow.ApiDef op = 1;
addOp(ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder
repeated .tensorflow.ApiDef op = 1;
addOp(int, ApiDef.Builder) - Method in class org.tensorflow.framework.ApiDefs.Builder
repeated .tensorflow.ApiDef op = 1;
addOp(OpDef) - Method in class org.tensorflow.framework.OpList.Builder
repeated .tensorflow.OpDef op = 1;
addOp(int, OpDef) - Method in class org.tensorflow.framework.OpList.Builder
repeated .tensorflow.OpDef op = 1;
addOp(OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder
repeated .tensorflow.OpDef op = 1;
addOp(int, OpDef.Builder) - Method in class org.tensorflow.framework.OpList.Builder
repeated .tensorflow.OpDef op = 1;
addOpBuilder() - Method in class org.tensorflow.framework.ApiDefs.Builder
repeated .tensorflow.ApiDef op = 1;
addOpBuilder(int) - Method in class org.tensorflow.framework.ApiDefs.Builder
repeated .tensorflow.ApiDef op = 1;
addOpBuilder() - Method in class org.tensorflow.framework.OpList.Builder
repeated .tensorflow.OpDef op = 1;
addOpBuilder(int) - Method in class org.tensorflow.framework.OpList.Builder
repeated .tensorflow.OpDef op = 1;
addOperator(OnnxOperators.OperatorProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(int, OnnxOperators.OperatorProto) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(OnnxOperators.OperatorProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(int, OnnxOperators.OperatorProto.Builder) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperatorBuilder() - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOperatorBuilder(int) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
The operators specified by this operator set.
addOpId(long) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
Ids to wait on.
addOpName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addOpName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addOpNum(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatNode
 
addOps(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addOpsetImport(Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, Onnx.OperatorSetIdProto) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, Onnx.OperatorSetIdProto.Builder) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, OnnxMl.OperatorSetIdProto) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, OnnxMl.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder() - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder(int) - Method in class onnx.Onnx.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder() - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder(int) - Method in class onnx.OnnxMl.ModelProto.Builder
The OperatorSets this model relies on.
addOptimizers(String) - Method in class org.tensorflow.framework.RewriterConfig.Builder
If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOptimizersBytes(ByteString) - Method in class org.tensorflow.framework.RewriterConfig.Builder
If non-empty, will use this as an alternative way to specify a list of optimizations to turn on and the order of the optimizations (replacing the meta-optimizer).
addOpType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatNode
 
addOrDependency(T, D, D) - Method in class org.nd4j.autodiff.samediff.internal.AbstractDependencyTracker
Add an "Or" dependency: Y requires either x1 OR x2 - i.e., (x1 or x2) -> Y
If either x1 or x2 (or both) are marked satisfied via AbstractDependencyTracker.markSatisfied(Object, boolean) then the dependency is considered satisfied
addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
addOtherTrainingStats(SparkTrainingStats) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Combine the two training stats instances.
addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
addOutArg(ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(int, ApiDef.Arg) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArg(int, ApiDef.Arg.Builder) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArgBuilder() - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutArgBuilder(int) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addOutgoingFor(SDVariable[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
Adds outgoing arguments to the graph for the specified DifferentialFunction Also checks for input arguments and updates the graph adding an appropriate edge when the full graph is declared.
addOutgoingFor(String[], DifferentialFunction) - Method in class org.nd4j.autodiff.samediff.SameDiff
Adds outgoing arguments to the graph for the specified DifferentialFunction Also checks for input arguments and updates the graph adding an appropriate edge when the full graph is declared.
addOutput(Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, Onnx.ValueInfoProto) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, Onnx.ValueInfoProto.Builder) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(String) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value repeated string output = 2;
addOutput(OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, OnnxMl.ValueInfoProto) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, OnnxMl.ValueInfoProto.Builder) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(String) - Method in class onnx.OnnxMl.NodeProto.Builder
namespace Value repeated string output = 2;
addOutput(String) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Set as an output, the entire contents (all columns) of the RecordReader or SequenceRecordReader
addOutput(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Add an output, with a subset of the columns from the named RecordReader or SequenceRecordReader
addOutput(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addOutput(NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.NodeOutput output = 7;
addOutput(int, NodeOutput) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.NodeOutput output = 7;
addOutput(NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.NodeOutput output = 7;
addOutput(int, NodeOutput.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.NodeOutput output = 7;
addOutputArg(OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the output(s).
addOutputArg(int, OpDef.ArgDef) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the output(s).
addOutputArg(OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the output(s).
addOutputArg(int, OpDef.ArgDef.Builder) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the output(s).
addOutputArgBuilder() - Method in class org.tensorflow.framework.OpDef.Builder
Description of the output(s).
addOutputArgBuilder(int) - Method in class org.tensorflow.framework.OpDef.Builder
Description of the output(s).
addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addOutputArgument(INDArray...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addOutputBuilder() - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder(int) - Method in class onnx.Onnx.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder() - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder(int) - Method in class onnx.OnnxMl.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.NodeOutput output = 7;
addOutputBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.NodeOutput output = 7;
addOutputBytes(ByteString) - Method in class onnx.Onnx.NodeProto.Builder
namespace Value repeated string output = 2;
addOutputBytes(ByteString) - Method in class onnx.OnnxMl.NodeProto.Builder
namespace Value repeated string output = 2;
addOutputInfo(CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(int, CostGraphDef.Node.OutputInfo) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfo(int, CostGraphDef.Node.OutputInfo.Builder) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfoBuilder() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputInfoBuilder(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
repeated .tensorflow.CostGraphDef.Node.OutputInfo output_info = 5;
addOutputMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
 
addOutputNames(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addOutputOfOp(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addOutputOneHot(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
An an output, where the output is taken from a single column from the specified RecordReader / SequenceRecordReader The assumption is that the specified column contains integer values in range 0..numClasses-1; this integer will be converted to a one-hot representation (usually for classification)
addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIGraphStructure
 
addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIOp
 
addOutputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
This method takes arbitrary number of output INDArrays in, to store operation result Note that this ACCUMULATES arguments.
addOutputShape(LongShapeDescriptor) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
Adds an oup
addOutputTypes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addParamName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UpdaterState
 
addPartitionGraph(GraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(int, GraphDef) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(GraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraph(int, GraphDef.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
repeated .tensorflow.GraphDef partition_graph = 4;
addPartitionGraphs(GraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphs(GraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphs(int, GraphDef.Builder) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphsBuilder() - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPartitionGraphsBuilder(int) - Method in class org.tensorflow.framework.RunMetadata.Builder
Graphs of the partitions executed by executors.
addPersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 persistent_tensor_alloc_ids = 5;
addPhysicalCores(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UISystemInfo
 
addPlaceholders(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addPlugin(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIEvent
 
addPoint(Point) - Method in class org.deeplearning4j.clustering.cluster.Cluster
Add a point to the cluster
addPoint(Point, boolean) - Method in class org.deeplearning4j.clustering.cluster.Cluster
Add a point to the cluster
addPrecursor(Class<T>, MessageCallable<T>) - Method in class org.nd4j.parameterserver.distributed.v2.transport.impl.AeronUdpTransport
This method add precursor for incoming messages.
addPrecursor(Class<T>, MessageCallable<T>) - Method in class org.nd4j.parameterserver.distributed.v2.transport.impl.DummyTransport
This method add precursor for incoming messages.
addPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor.Builder
 
addPreProcessor(int, MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor.Builder
Inserts the specified preprocessor at the specified position to the list of preprocessors to be applied
addPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
 
addPreProcessor(int, DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
 
addPreProcessors(InputType...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
Add preprocessors automatically, given the specified types of inputs for the network.
addProfilingMode(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatConfiguration
 
addProperties(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addPut(Nd4jCpu.NDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.NDArray
addition unary operator array += other other - input array to add
addQueue(EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(int, EagerServiceOuterClass.QueueItem) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(EagerServiceOuterClass.QueueItem.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueue(int, EagerServiceOuterClass.QueueItem.Builder) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueueBuilder() - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueueBuilder(int) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
repeated .tensorflow.eager.QueueItem queue = 3;
addQueueClosedExceptionTypes(Code) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addQueueClosedExceptionTypesValue(int) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
A list of exception types considered to signal a safely closed queue if raised during enqueue operations.
addRandomHyperPlane() - Method in class org.deeplearning4j.clustering.randomprojection.RPHyperPlanes
Add a new random element to the hyper plane.
addReader(String, RecordReader) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Add a RecordReader for use in .addInput(...) or .addOutput(...)
addRecv(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecv(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvBuilder() - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
A list of tensors corresponding to those requested by `RunGraphRequest.recv_key`.
addRecvKey(String) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
repeated string recv_key = 4;
addRecvKeyBytes(ByteString) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
repeated string recv_key = 4;
addReferencedTensor(AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(int, AllocationDescription) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensor(int, AllocationDescription.Builder) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensorBuilder() - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencedTensorBuilder(int) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addReferencing(String) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Deprecated.
addReferencing(String) - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Add a referencing element to this buffer
addRegularization(Regularization...) - Method in class org.nd4j.autodiff.samediff.TrainingConfig.Builder
Add regularization to all trainable parameters in the network
addRemoteDevice(DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(int, DeviceAttributes) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDevice(int, DeviceAttributes.Builder) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDeviceBuilder() - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRemoteDeviceBuilder(int) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
repeated .tensorflow.DeviceAttributes remote_device = 2;
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.AttributeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.GraphProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.ModelProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.NodeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.OperatorSetIdProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.StringStringEntryProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorProto.Segment.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorShapeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TensorShapeProto.Dimension.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.TypeProto.Tensor.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.Onnx.ValueInfoProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.AttributeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.GraphProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.ModelProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.NodeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.OperatorSetIdProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.StringStringEntryProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorProto.Segment.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TensorShapeProto.Dimension.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Map.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Sequence.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.TypeProto.Tensor.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMl.ValueInfoProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperators.OperatorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperators.OperatorSetProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupAllResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CleanupGraphResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CloseSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ClusterDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CompleteInstanceResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.CreateWorkerSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeleteWorkerSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.DeregisterGraphResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExecutorOpts.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ExtendSessionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStatusResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.JobDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LabeledStepStats.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ListDevicesResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.MakeCallableResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.PartialRunSetupResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvBufResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RecvTensorResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RegisterGraphResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ReleaseCallableResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ResetResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunCallableResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunGraphResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.ServerDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.StepSequence.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TraceOpts.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.distruntime.TracingResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ApiDefs.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AssetFileDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.AutoParallelOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CallableOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.AnyList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.BytesList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.FloatList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.Int64List.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CollectionDef.NodeList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CondContextDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ConfigProto.Experimental.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ControlFlowContextDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.CriticalSectionExecutionDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFile.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DebugTensorWatch.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GPUOptions.Experimental.VirtualDevices.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GradientDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInput.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeInputInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferNodeOutputInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.InterconnectLink.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.KernelDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.LocalLinks.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MemoryStats.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NameAttrList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NamedTensorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.NodeOutput.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OpList.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.OptimizerOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.QueueRunnerDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RewriterConfig.CustomGraphOptimizer.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RPCOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunMetadata.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.RunOptions.Experimental.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SavedModel.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ScopedAllocatorOptions.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SignatureDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.StepStats.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Image.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.Summary.Value.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorConnection.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorDescription.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorInfo.CooSparse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ThreadPoolOptionProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.ValuesDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariableDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.VersionDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.WhileContextDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleEntryProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.BundleHeaderProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.util.SaverDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.ObjectReference.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.DeviceProperties.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.DevicePropertiesProtos.NamedDevice.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CloseContextResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.CreateContextResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.EnqueueResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.KeepAliveResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.Operation.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.QueueItem.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RegisterFunctionResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.RemoteTensorHandle.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneRequest.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.eager.EagerServiceOuterClass.WaitQueueDoneResponse.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.TransportOptions.RecvBufRespExtra.Builder
 
addRequestConsumer(Class<T>, Consumer<T>) - Method in class org.nd4j.parameterserver.distributed.v2.transport.impl.BaseTransport
 
addRequestConsumer(Class<T>, Consumer<T>) - Method in interface org.nd4j.parameterserver.distributed.v2.transport.Transport
This methd allows to set callback instance for various
addResource(String) - Method in class org.datavec.api.conf.Configuration
Add a configuration resource.
addResource(URL) - Method in class org.datavec.api.conf.Configuration
Add a configuration resource.
addResource(InputStream) - Method in class org.datavec.api.conf.Configuration
Add a configuration resource.
addResourceHandleVal(ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleVal(ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleValBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourceHandleValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
addResourcePathToPackagePath(Class<?>, String) - Static method in class org.nd4j.linalg.io.ClassUtils
 
address() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
address() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns the address of the pointer
addressPointer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
addressPointer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns the address of the pointer wrapped in a Pointer
addRow(DataSet, int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
addRow(DataSet, int) - Method in class org.nd4j.linalg.dataset.DataSet
 
addRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Addition of a row vector (copy)
addRowVector(Nd4jCpu.NDArray, Nd4jCpu.NDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.NDArray
add given row vector to all rows of this array, store result in target row - row vector to add target - where to store result
addS(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addS(ByteString) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(string)" repeated bytes s = 2;
addScalar(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addScomplexVal(float) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
addScopeId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addScopeName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addScore(long, double) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener.ScoreStat
 
addSecond(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntPair
 
addSecond(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple
 
addSecond(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongPair
 
addSecond(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple
 
addSend(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSend(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSend(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSend(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSendBuilder() - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSendBuilder(int) - Method in class org.tensorflow.distruntime.RunGraphRequest.Builder
Runs the graph.
addSentenceIterator(SentenceIterator) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
addSentenceIterators(Collection<SentenceIterator>) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
addSentencePreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
addSequenceLabel(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Adds sequence label.
addSequenceReader(String, SequenceRecordReader) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Add a SequenceRecordReader for use in .addInput(...) or .addOutput(...)
addSeries(String, double[], double[]) - Method in class org.datavec.api.transform.ui.components.RenderableComponentLineChart.Builder
 
addSeries(String, double[], double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartLine.Builder
 
addSeries(String, double[], double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartScatter.Builder
 
addSeries(String, double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartStackedArea.Builder
Add a single series.
addSessionInterOpThreadPool(ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPool(int, ThreadPoolOptionProto.Builder) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder() - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addSessionInterOpThreadPoolBuilder(int) - Method in class org.tensorflow.framework.ConfigProto.Builder
This option is experimental - it may be replaced with a different mechanism in the future.
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
 
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatProperties
 
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.UIVariable
 
addShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShape(int, TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShape(long) - Method in class org.tensorflow.framework.GraphTransferConstNodeInfo.Builder
repeated int64 shape = 3;
addShape(long) - Method in class org.tensorflow.framework.GraphTransferGraphInputNodeInfo.Builder
repeated int64 shape = 2;
addShape(long) - Method in class org.tensorflow.framework.GraphTransferGraphOutputNodeInfo.Builder
repeated int64 shape = 2;
addShapeBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShapeBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)" repeated .tensorflow.TensorShapeProto shape = 7;
addShard(String, int) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
Deprecated.
 
addShard(String, int) - Method in class org.nd4j.parameterserver.distributed.transport.LocalTransport
Deprecated.
 
addShard(String, int) - Method in class org.nd4j.parameterserver.distributed.transport.RoutedTransport
Deprecated.
 
addShard(String, int) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
Deprecated.
 
addSlices(TensorSliceProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlices(TensorSliceProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlices(int, TensorSliceProto.Builder) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlicesBuilder() - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlicesBuilder(int) - Method in class org.tensorflow.util.BundleEntryProto.Builder
Iff present, this entry represents a partitioned tensor.
addSlotVariables(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariables(CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariables(int, CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference.Builder) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariablesBuilder() - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSlotVariablesBuilder(int) - Method in class tensorflow.CheckpointableObjectGraphOuterClass.CheckpointableObjectGraph.CheckpointableObject.Builder
Slot variables owned by this object.
addSource(SequenceIterator<T>, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
Adds SequenceIterator for vocabulary construction.
addSourceFiles(DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFiles(int, DebuggedSourceFile) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFiles(DebuggedSourceFile.Builder) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFiles(int, DebuggedSourceFile.Builder) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFilesBuilder() - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFilesBuilder(int) - Method in class org.tensorflow.framework.DebuggedSourceFiles.Builder
A collection of source code files.
addSourceFolder(File) - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
Root folder for labels -> documents.
addSourceFolder(File) - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
Root folder for labels -> documents.
addSourceIterator(DataSetIterator) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
addStatus(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResponse
 
addStdev(FlatBufferBuilder, double) - Static method in class org.nd4j.graph.UISummaryStatistics
 
addStep(LabeledStepStats) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStep(int, LabeledStepStats) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStep(LabeledStepStats.Builder) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStep(int, LabeledStepStats.Builder) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStepBuilder() - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStepBuilder(int) - Method in class org.tensorflow.distruntime.LoggingResponse.Builder
repeated .tensorflow.LabeledStepStats step = 1;
addStepSequence(StepSequence) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(int, StepSequence) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(StepSequence.Builder) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequence(int, StepSequence.Builder) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequenceBuilder() - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStepSequenceBuilder(int) - Method in class org.tensorflow.distruntime.GetStepSequenceResponse.Builder
repeated .tensorflow.StepSequence step_sequence = 1;
addStr(String) - Method in class org.datavec.python.PythonVariables
Add a null variable to the set of variables to describe the type but no value
addStr(String, String) - Method in class org.datavec.python.PythonVariables
Add a string variable to the set of variables
addStrategy(NormalizerSerializerStrategy) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Add a normalizer serializer strategy
addStringData(ByteString) - Method in class onnx.Onnx.TensorProto.Builder
For strings.
addStringData(ByteString) - Method in class onnx.OnnxMl.TensorProto.Builder
For strings.
addStringDerivedColumn(String, String, DateTimeZone) - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform.Builder
Add a String column (for example, human readable format), derived from the time
addStrings(ByteString) - Method in class onnx.Onnx.AttributeProto.Builder
list of UTF-8 strings repeated bytes strings = 9;
addStrings(ByteString) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of UTF-8 strings repeated bytes strings = 9;
addStringToArray(String[], String) - Static method in class org.nd4j.linalg.io.StringUtils
 
addStringVal(ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_STRING repeated bytes string_val = 8;
addSubdivOffset(int) - Method in class org.tensorflow.distruntime.CompleteInstanceRequest.Builder
repeated int32 subdiv_offset = 9;
addTags(String) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
User supplied tag(s) on the meta_graph and included graph_def.
addTagsBytes(ByteString) - Method in class org.tensorflow.framework.MetaGraphDef.MetaInfoDef.Builder
User supplied tag(s) on the meta_graph and included graph_def.
addTarget(String) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Target Nodes.
addTarget(String) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Target Nodes.
addTarget(String) - Method in class org.tensorflow.framework.CallableOptions.Builder
Target Nodes.
addTargetBytes(ByteString) - Method in class org.tensorflow.distruntime.PartialRunSetupRequest.Builder
Target Nodes.
addTargetBytes(ByteString) - Method in class org.tensorflow.distruntime.RunStepRequest.Builder
Target Nodes.
addTargetBytes(ByteString) - Method in class org.tensorflow.framework.CallableOptions.Builder
Target Nodes.
addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.custom.ScatterUpdate
 
addTArgument(double...) - Method in interface org.nd4j.linalg.api.ops.CustomOp
 
addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
addTaskName(String) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
task name prefixes of device_names repeated string task_name = 6;
addTaskNameBytes(ByteString) - Method in class org.tensorflow.distruntime.CompleteGroupResponse.Builder
task name prefixes of device_names repeated string task_name = 6;
addTensor(NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(int, NamedTensorProto) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(int, NamedTensorProto.Builder) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensor(int, TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensor(int, TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensorBuilder() - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensorBuilder(int) - Method in class org.tensorflow.distruntime.RunStepResponse.Builder
NOTE: The order of the returned tensors may or may not match the fetch order specified in RunStepRequest.
addTensorBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensorBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)" repeated .tensorflow.TensorProto tensor = 8;
addTensorConnection(TensorConnection) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnection(TensorConnection.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnection(int, TensorConnection.Builder) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnectionBuilder() - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensorConnectionBuilder(int) - Method in class org.tensorflow.framework.CallableOptions.Builder
Tensors to be connected in the callable.
addTensors(Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensors(int, Onnx.TensorProto) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensors(Onnx.TensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensors(int, Onnx.TensorProto.Builder) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensors(OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensors(int, OnnxMl.TensorProto) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensors(OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensors(int, OnnxMl.TensorProto.Builder) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensors(TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
Tensors contained within objects being serialized.
addTensors(int, TensorProto) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
Tensors contained within objects being serialized.
addTensors(TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
Tensors contained within objects being serialized.
addTensors(int, TensorProto.Builder) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
Tensors contained within objects being serialized.
addTensorsBuilder() - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensorsBuilder(int) - Method in class onnx.Onnx.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensorsBuilder() - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensorsBuilder(int) - Method in class onnx.OnnxMl.AttributeProto.Builder
list of tensors repeated .onnx.TensorProto tensors = 10;
addTensorsBuilder() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
Tensors contained within objects being serialized.
addTensorsBuilder(int) - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
Tensors contained within objects being serialized.
addTerm(NewWord) - Method in class org.ansj.dic.LearnTool
增加一个新词到树中
addTerm(Term) - Method in class org.ansj.util.Graph
增加一个词语到图中
addThird(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.IntTriple
 
addThird(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.LongTriple
 
addTime(long) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
 
addTimestamp(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.UIEvent
 
addTimestats(FlatBufferBuilder, boolean) - Static method in class org.nd4j.graph.FlatConfiguration
 
addTiming(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
 
addTiming(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatTiming
 
addToActivations(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
 
addToChunks(INDArray) - Method in class org.nd4j.parameterserver.distributed.messages.aggregations.BaseAggregation
Deprecated.
 
addToConfusion(Integer, Integer) - Method in class org.nd4j.evaluation.classification.Evaluation
Adds to the confusion matrix
addToken(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
This method adds specified SequenceElement to vocabulary
addToken(T, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
addToken(VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
addToken(T)