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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, DataManager) - 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, DataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
 
A3CDiscreteConv(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraph, IHistoryProcessor.Configuration, A3CDiscrete.A3CConfiguration, DataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
 
A3CDiscreteConv(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraphStdConv.Configuration, IHistoryProcessor.Configuration, A3CDiscrete.A3CConfiguration, DataManager) - 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, DataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactorySeparate, A3CDiscrete.A3CConfiguration, DataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactorySeparateStdDense.Configuration, A3CDiscrete.A3CConfiguration, DataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraph, A3CDiscrete.A3CConfiguration, DataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteDense
 
A3CDiscreteDense(MDP<O, Integer, DiscreteSpace>, ActorCriticFactoryCompGraphStdDense.Configuration, A3CDiscrete.A3CConfiguration, DataManager) - 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, DataManager) - Constructor for class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CThreadDiscrete
 
abs(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
abs(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise absolute value operation: out = abs(x)
abs(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise absolute value operation: out = abs(x)
Abs - Class in org.nd4j.linalg.api.ops.impl.transforms
Abs elementwise function
Abs(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
Abs(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
Abs(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
Abs() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
Abs(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
Abs(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
Abs(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
Abs(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
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(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
 
absGreaterThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
 
absLessThan(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
 
absLessThanOrEqual(Number) - Static method in class org.nd4j.linalg.indexing.conditions.Conditions
 
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
 
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) - Constructor for class org.deeplearning4j.nn.layers.AbstractLayer
 
AbstractLayer(NeuralNetConfiguration, INDArray) - 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
 
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
 
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"
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
 
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
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
 
AccessState - Enum in org.nd4j.jita.allocator.enums
Three state trigger for memory access state representation
accumulate(INDArray, INDArray...) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuNDArrayFactory
 
accumulate(INDArray, INDArray...) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuSparseNDArrayFactory
 
accumulate(Collection<INDArray>) - Static method in class org.nd4j.linalg.factory.Nd4j
This method sums given arrays and stores them to a new target array
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(INDArray, INDArray...) - Method in class org.nd4j.linalg.jcublas.JCublasNDArrayFactory
 
accumulate(INDArray, INDArray...) - Method in class org.nd4j.linalg.jcublas.JCusparseNDArrayFactory
 
accumulateAggregation(VoidAggregation) - Method in class org.nd4j.parameterserver.distributed.messages.aggregations.BaseAggregation
 
accumulateAggregation(VoidAggregation) - Method in interface org.nd4j.parameterserver.distributed.messages.VoidAggregation
 
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.
accumulateDouble(PointerPointer, PointerPointer, DoublePointer, int, long) - Method in class org.nd4j.nativeblas.NativeOps
 
accumulateDouble(PointerPointer, PointerPointer, DoublePointer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateDouble(PointerPointer, PointerPointer, DoubleBuffer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateDouble(PointerPointer, PointerPointer, double[], int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateDouble(PointerPointer, PointerPointer, DoublePointer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateDouble(PointerPointer, PointerPointer, DoubleBuffer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateDouble(PointerPointer, PointerPointer, double[], int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateFloat(PointerPointer, PointerPointer, FloatPointer, int, long) - Method in class org.nd4j.nativeblas.NativeOps
 
accumulateFloat(PointerPointer, PointerPointer, FloatPointer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateFloat(PointerPointer, PointerPointer, FloatBuffer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateFloat(PointerPointer, PointerPointer, float[], int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateFloat(PointerPointer, PointerPointer, FloatPointer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateFloat(PointerPointer, PointerPointer, FloatBuffer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateFloat(PointerPointer, PointerPointer, float[], int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateHalf(PointerPointer, PointerPointer, ShortPointer, int, long) - Method in class org.nd4j.nativeblas.NativeOps
 
accumulateHalf(PointerPointer, PointerPointer, ShortPointer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateHalf(PointerPointer, PointerPointer, ShortBuffer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateHalf(PointerPointer, PointerPointer, short[], int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
accumulateHalf(PointerPointer, PointerPointer, ShortPointer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateHalf(PointerPointer, PointerPointer, ShortBuffer, int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateHalf(PointerPointer, PointerPointer, short[], int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
accumulateLabel(String) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
Accumulate the label from the path
ACCUMULATION - Static variable in class org.nd4j.graph.OpType
 
Accumulation - Interface in org.nd4j.linalg.api.ops
An accumulation is an op that given:
x -> the origin ndarray
y -> the pairwise ndarray
n -> the number of times to accumulate

Of note here in the extra arguments.

ACCUMULATION3 - Static variable in class org.nd4j.graph.OpType
 
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.SilentTrainingDriver
 
accumulator - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
ACCURACY - Static variable in class org.deeplearning4j.arbiter.server.ArbiterCliGenerator
 
accuracy() - Method in class org.deeplearning4j.eval.Evaluation
Accuracy: (TP + TN) / (P + N)
accuracy(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the accuracy for the specified output
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.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_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.SameDiff
Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)
acos(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise acos (arccosine, inverse cosine) operation: out = arccos(x)
ACos - Class in org.nd4j.linalg.api.ops.impl.transforms
Log elementwise function
ACos(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
ACos(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
ACos(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
ACos() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
ACos(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
ACos(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
ACos(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
ACos(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
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.SameDiff
Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)
acosh(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise acosh (inverse hyperbolic cosine) function: out = acosh(x)
ACosh - Class in org.nd4j.linalg.api.ops.impl.transforms
ACosh elementwise function
ACosh() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
ACosh(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
ACosh(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
ACosh(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
ACosh(INDArray, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
ACosh(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
ACosh(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
ACosh(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
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
 
acquireContextForDevice(Integer) - Method in interface org.nd4j.jita.allocator.context.ContextPool
 
acquireContextForDevice(Integer) - Method in class org.nd4j.jita.allocator.context.impl.BasicContextPool
 
acquireContextForDevice(Integer) - Method in class org.nd4j.jita.allocator.context.impl.LimitedContextPool
 
acquireContextForDevice(Integer) - Method in class org.nd4j.jita.allocator.context.impl.PackedContextPool
Deprecated.
 
acquireContextPackForDevice(Integer) - Method in interface org.nd4j.jita.allocator.context.ContextPool
 
acquireContextPackForDevice(Integer) - Method in class org.nd4j.jita.allocator.context.impl.BasicContextPool
 
acquireContextPackForDevice(Integer) - Method in class org.nd4j.jita.allocator.context.impl.LimitedContextPool
 
acquireContextPackForDevice(Integer) - Method in class org.nd4j.jita.allocator.context.impl.PackedContextPool
Deprecated.
 
acquired - Variable in class org.nd4j.jita.allocator.context.impl.LimitedContextPool
 
acquireLock() - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
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.CnnLossLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
activate(INDArray, IActivation) - 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(INDArray, IActivation) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
 
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(INDArray, boolean, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper
 
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(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
activate(INDArray, boolean, double, double, double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper
 
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(Layer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
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.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(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
activate(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activate(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activateFrame(String, boolean) - Method in class org.nd4j.autodiff.samediff.flow.FlowPath
This method triggers frame state
activateHelper(BaseLayer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LSTMHelper, CacheMode, LayerWorkspaceMgr) - 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(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
 
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.
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
 
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
 
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
 
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
 
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) - Constructor for class org.deeplearning4j.nn.layers.ActivationLayer
 
ActivationLayer(NeuralNetConfiguration, INDArray) - 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
 
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) - Constructor for class org.nd4j.linalg.activations.impl.ActivationPReLU
 
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.
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:
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
 
actualizeCounts(long) - Method in class org.nd4j.jita.allocator.time.impl.SimpleTimer
 
AdaDelta - Class in org.nd4j.linalg.learning.config
http://www.matthewzeiler.com/pubs/googleTR2012/googleTR2012.pdf https://arxiv.org/pdf/1212.5701v1.pdf
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
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(int[], 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
 
adapter - Variable in class org.datavec.spark.transform.BaseFlatMapFunctionAdaptee
 
adapter - Variable in class org.deeplearning4j.spark.util.BaseDoubleFlatMapFunctionAdaptee
 
adapter - Variable in class org.deeplearning4j.spark.util.BasePairFlatMapFunctionAdaptee
 
adaptForTensorDescr(int[]) - Static method in class org.deeplearning4j.nn.layers.BaseCudnnHelper
From CuDNN documentation - "Tensors are restricted to having at least 4 dimensions...
add(String) - Method in class com.atilika.kuromoji.trie.Trie
Adds an input value to this trie
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(Writable) - Method in class org.datavec.spark.transform.analysis.seqlength.SequenceLengthAnalysisCounter
 
add(Writable) - Method in class org.datavec.spark.transform.analysis.string.StringAnalysisCounter
 
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(T, T) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Increments the entry specified by actual and predicted by one.
add(T, T, int) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Increments the entry specified by actual and predicted by count.
add(ConfusionMatrix<T>) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Adds the entries from another confusion matrix to this one.
add(CSVRecord) - Method in class org.deeplearning4j.nearestneighbor.model.BatchRecord
Add a record
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 - 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(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
add(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
add(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
add(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
add(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
copy addition of two matrices
add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
copy addition of two matrices
add(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
add(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
add(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
add(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
add(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
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
 
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(X) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
add(int, X) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
add(Double) - Method in class org.nd4j.list.NDArrayList
 
add(int, Double) - Method in class org.nd4j.list.NDArrayList
 
add(float, Nd4jCpu.FloatNDArray) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
add(short, Nd4jCpu.HalfNDArray) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
add(double, Nd4jCpu.DoubleNDArray) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
add(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
addition operator: array + other other - input array to add
add(double) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
addition operator: array + scalar scalar - input scalar to add
add(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
addition operator: array + other other - input array to add
add(float) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
addition operator: array + scalar scalar - input scalar to add
add(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
addition operator: array + other other - input array to add
add(short) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
addition operator: array + scalar scalar - input scalar to add
add(float, Nd4jCuda.FloatNDArray) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
add(short, Nd4jCuda.HalfNDArray) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
add(double, Nd4jCuda.DoubleNDArray) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
add(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
addition operator: array + other other - input array to add
add(double) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
addition operator: array + scalar scalar - input scalar to add
add(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
addition operator: array + other other - input array to add
add(float) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
addition operator: array + scalar scalar - input scalar to add
add(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
addition operator: array + other other - input array to add
add(short) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
addition operator: array + scalar scalar - input scalar to add
add(Object, int) - Method in class org.nd4j.util.Index
 
add(Object) - Method in class org.nd4j.util.Index
 
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
 
addAlias(String) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
Create *additional* API endpoints with different names (contrast with rename_to, which affects the original name).
addAliasBytes(ByteString) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
Create *additional* API endpoints with different names (contrast with rename_to, which affects the original name).
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 X>) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
addAll(int, Collection<? extends X>) - Method in class org.nd4j.list.matrix.MatrixBaseNDArrayList
 
addAll(Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList
 
addAll(int, Collection<? extends Double>) - Method in class org.nd4j.list.NDArrayList
 
addAllAlias(Iterable<String>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
Create *additional* API endpoints with different names (contrast with rename_to, which affects the original name).
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.
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;
addAllAttrDefault(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride.AttrDefault>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
addAllAttribute(Iterable<? extends OnnxMlProto3.AttributeProto>) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
addAllAttribute(Iterable<? extends OnnxProto3.AttributeProto>) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
addAllAttrRename(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride.Rename>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
addAllB(Iterable<? extends Boolean>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(bool)"
addAllBadConsumers(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.VersionDef.Builder
Specific consumer versions which are disallowed (e.g.
addAllBoolVal(Iterable<? extends Boolean>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_BOOL
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.
addAllConstNodeInfo(Iterable<? extends GraphTransferInfo.ConstNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
addAllConstraint(Iterable<? extends KernelDef.AttrConstraint>) - Method in class org.tensorflow.framework.KernelDef.Builder
repeated .tensorflow.KernelDef.AttrConstraint constraint = 3;
addAllControlInput(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Ids of the control inputs for this node.
addAllDcomplexVal(Iterable<? extends Double>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX128.
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
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
addAllDevicePersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 device_persistent_tensor_alloc_ids = 6;
addAllDevStats(Iterable<? extends DeviceStepStats>) - Method in class org.tensorflow.framework.StepStats.Builder
repeated .tensorflow.DeviceStepStats dev_stats = 1;
addAllDim(Iterable<? extends OnnxMlProto3.TensorShapeProto.Dimension>) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addAllDim(Iterable<? extends OnnxProto3.TensorShapeProto.Dimension>) - Method in class onnx.OnnxProto3.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.OnnxMlProto3.TensorProto.Builder
The shape of the tensor.
addAllDims(Iterable<? extends Long>) - Method in class onnx.OnnxProto3.TensorProto.Builder
The shape of the tensor.
addAllDoubleData(Iterable<? extends Double>) - Method in class onnx.OnnxMlProto3.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.OnnxProto3.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.
addAllEndpoint(Iterable<? extends ApiDef.Endpoint>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Endpoint endpoint = 3;
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)"
addAllFloatData(Iterable<? extends Float>) - Method in class onnx.OnnxMlProto3.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.OnnxProto3.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.OnnxMlProto3.AttributeProto.Builder
list of floats
addAllFloats(Iterable<? extends Float>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of floats
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)"
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 GraphTransferInfo.GraphInputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addAllGraphInputNodeName(Iterable<String>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph input node name
addAllGraphOutputNodeInfo(Iterable<? extends GraphTransferInfo.GraphOutputNodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
addAllGraphOutputNodeName(Iterable<String>) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph output node name
addAllGraphs(Iterable<? extends OnnxMlProto3.GraphProto>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
addAllGraphs(Iterable<? extends OnnxProto3.GraphProto>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
addAllHalfVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_HALF.
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.
addAllHostPersistentTensorAllocIds(Iterable<? extends Long>) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 host_persistent_tensor_alloc_ids = 5;
addAllI(Iterable<? extends Long>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(int)"
addAllInArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg in_arg = 4;
addAllInitializer(Iterable<? extends OnnxMlProto3.TensorProto>) - Method in class onnx.OnnxMlProto3.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 OnnxProto3.TensorProto>) - Method in class onnx.OnnxProto3.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 OnnxMlProto3.ValueInfoProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The inputs and outputs of the graph.
addAllInput(Iterable<String>) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
namespace Value
addAllInput(Iterable<? extends OnnxProto3.ValueInfoProto>) - Method in class onnx.OnnxProto3.GraphProto.Builder
The inputs and outputs of the graph.
addAllInput(Iterable<String>) - Method in class onnx.OnnxProto3.NodeProto.Builder
namespace Value
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;
addAllInputRename(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride.Rename>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
addAllInt32Data(Iterable<? extends Integer>) - Method in class onnx.OnnxMlProto3.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.OnnxProto3.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.OnnxMlProto3.TensorProto.Builder
For int64.
addAllInt64Data(Iterable<? extends Long>) - Method in class onnx.OnnxProto3.TensorProto.Builder
For int64.
addAllInt64Val(Iterable<? extends Long>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_INT64
addAllInts(Iterable<? extends Long>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of ints
addAllInts(Iterable<? extends Long>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of ints
addAllIntVal(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
addAllKeys(Iterable<String>) - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
Keys for tensors in the VariantTensorDataProto.
addAllMaxByteSize(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
repeated int32 max_byte_size = 2;
addAllMemory(Iterable<? extends AllocatorMemoryUsed>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocatorMemoryUsed memory = 6;
addAllMetadataProps(Iterable<? extends OnnxMlProto3.StringStringEntryProto>) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addAllMetadataProps(Iterable<? extends OnnxProto3.StringStringEntryProto>) - Method in class onnx.OnnxProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addAllNode(Iterable<? extends OnnxMlProto3.NodeProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The nodes in the graph.
addAllNode(Iterable<? extends OnnxProto3.NodeProto>) - Method in class onnx.OnnxProto3.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 GraphTransferInfo.NodeInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
addAllNodeInput(Iterable<? extends GraphTransferInfo.NodeInput>) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
addAllNodeInputInfo(Iterable<? extends GraphTransferInfo.NodeInputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
addAllNodeOutputInfo(Iterable<? extends GraphTransferInfo.NodeOutputInfo>) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
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;
addAllOp(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
repeated .tensorflow.OpGenOverride op = 1;
addAllOperator(Iterable<? extends OnnxOperatorsProto3.OperatorProto>) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
The operators specified by this operator set.
addAllOpsetImport(Iterable<? extends OnnxMlProto3.OperatorSetIdProto>) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The OperatorSets this model relies on.
addAllOpsetImport(Iterable<? extends OnnxProto3.OperatorSetIdProto>) - Method in class onnx.OnnxProto3.ModelProto.Builder
The OperatorSets this model relies on.
addAllOutArg(Iterable<? extends ApiDef.Arg>) - Method in class org.tensorflow.framework.ApiDef.Builder
repeated .tensorflow.ApiDef.Arg out_arg = 5;
addAllOutput(Iterable<? extends OnnxMlProto3.ValueInfoProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addAllOutput(Iterable<String>) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
namespace Value
addAllOutput(Iterable<? extends OnnxProto3.ValueInfoProto>) - Method in class onnx.OnnxProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addAllOutput(Iterable<String>) - Method in class onnx.OnnxProto3.NodeProto.Builder
namespace Value
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;
addAllOutputRename(Iterable<? extends OpGenOverridesOuterClass.OpGenOverride.Rename>) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
addAllReferencedTensor(Iterable<? extends AllocationDescription>) - Method in class org.tensorflow.framework.NodeExecStats.Builder
repeated .tensorflow.AllocationDescription referenced_tensor = 11;
addAllResourceHandleVal(Iterable<? extends ResourceHandleProto>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE
addAllS(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(string)"
addAllScomplexVal(Iterable<? extends Float>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX64.
addAllShape(Iterable<? extends TensorShapeProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)"
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
repeated int64 shape = 3;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
repeated int64 shape = 2;
addAllShape(Iterable<? extends Long>) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
repeated int64 shape = 2;
addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
For strings.
addAllStringData(Iterable<? extends ByteString>) - Method in class onnx.OnnxProto3.TensorProto.Builder
For strings.
addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of UTF-8 strings
addAllStrings(Iterable<? extends ByteString>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of UTF-8 strings
addAllStringVal(Iterable<? extends ByteString>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_STRING
addAllTensor(Iterable<? extends TensorProto>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
addAllTensors(Iterable<? extends OnnxMlProto3.TensorProto>) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of tensors
addAllTensors(Iterable<? extends OnnxProto3.TensorProto>) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of tensors
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)"
addAllTypeValue(Iterable<Integer>) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(type)"
addAllUint32Val(Iterable<? extends Integer>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_UINT32
addAllUint64Data(Iterable<? extends Long>) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
addAllUint64Data(Iterable<? extends Long>) - Method in class onnx.OnnxProto3.TensorProto.Builder
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
addAllUint64Val(Iterable<? extends Long>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_UINT64
addAllValue(Iterable<? extends Summary.Value>) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addAllValueInfo(Iterable<? extends OnnxMlProto3.ValueInfoProto>) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
Information for the values in the graph.
addAllValueInfo(Iterable<? extends OnnxProto3.ValueInfoProto>) - Method in class onnx.OnnxProto3.GraphProto.Builder
Information for the values in the graph.
addAllVariantVal(Iterable<? extends VariantTensorDataProto>) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT
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.
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.accum.BaseReduction
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.BatchMmul
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.bp.BaseReductionBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.bp.CumProdBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.bp.CumSumBp
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumProd
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.CumSum
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.SigmoidCrossEntropyLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLoss
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.accum.SoftmaxCrossEntropyLossWithLogits
 
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.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.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.Dilation2D
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.DynamicPartition
 
addArgs() - Method in class org.nd4j.linalg.api.ops.impl.transforms.Fill
 
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
addAsPlaceHolder(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add this vertex id as a place holder
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;
addAttrDefault(OpGenOverridesOuterClass.OpGenOverride.AttrDefault) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
addAttrDefault(int, OpGenOverridesOuterClass.OpGenOverride.AttrDefault) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
addAttrDefault(OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
addAttrDefault(int, OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
addAttrDefaultBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
addAttrDefaultBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.AttrDefault attr_default = 6;
addAttribute(OnnxMlProto3.AttributeProto) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
addAttribute(int, OnnxMlProto3.AttributeProto) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
addAttribute(OnnxMlProto3.AttributeProto.Builder) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
addAttribute(int, OnnxMlProto3.AttributeProto.Builder) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
addAttribute(OnnxProto3.AttributeProto) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
addAttribute(int, OnnxProto3.AttributeProto) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
addAttribute(OnnxProto3.AttributeProto.Builder) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
addAttribute(int, OnnxProto3.AttributeProto.Builder) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
addAttributeBuilder() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
addAttributeBuilder(int) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
Additional named attributes.
addAttributeBuilder() - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
addAttributeBuilder(int) - Method in class onnx.OnnxProto3.NodeProto.Builder
Additional named attributes.
addAttrRename(OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
addAttrRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
addAttrRename(OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
addAttrRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
addAttrRenameBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
addAttrRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename attr_rename = 7;
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(boolean) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(bool)"
addBadConsumers(int) - Method in class org.tensorflow.framework.VersionDef.Builder
Specific consumer versions which are disallowed (e.g.
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
addBoolVal(boolean) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_BOOL
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.arithmetic.bp
Addition backprop operation.
AddBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.AddBpOp
 
AddBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.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
 
addChild(Trie.Node) - Method in class com.atilika.kuromoji.trie.Trie.Node
Adds a new child node to this node
addClient(String, int) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
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
 
addClient(String, int) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
 
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
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
In place addition of a column vector
addColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
addColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Addition of a column vector (copy)
addColumnVector(Nd4jCpu.DoubleNDArray, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
add given column vector to all columns of this array, store result in target column - column vector to add target - where to store result
addColumnVector(Nd4jCpu.FloatNDArray, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
add given column vector to all columns of this array, store result in target column - column vector to add target - where to store result
addColumnVector(Nd4jCpu.HalfNDArray, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
add given column vector to all columns of this array, store result in target column - column vector to add target - where to store result
addColumnVector(Nd4jCuda.DoubleNDArray, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
add given column vector to all columns of this array, store result in target column - column vector to add target - where to store result
addColumnVector(Nd4jCuda.FloatNDArray, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
add given column vector to all columns of this array, store result in target column - column vector to add target - where to store result
addColumnVector(Nd4jCuda.HalfNDArray, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
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.SilentTrainingDriver
 
addCompletionHook(long, long, long) - Method in class org.nd4j.parameterserver.distributed.training.BaseTrainer
 
addCompletionHook(long, long, long) - Method in interface org.nd4j.parameterserver.distributed.training.TrainingDriver
 
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
 
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
addConstNodeInfo(GraphTransferInfo.ConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferInfo.ConstNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
addConstNodeInfo(GraphTransferInfo.ConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
addConstNodeInfo(int, GraphTransferInfo.ConstNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo const_node_info = 2;
addConstNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.ConstNodeInfo 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;
addControlInput(int) - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
Ids of the control inputs for this node.
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.FlatNode
 
addDcomplexVal(double) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX128.
addDefaultGraphInputTensorShape(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op
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
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
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
addDefaultGraphInputTensorShapeBuilder() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op
addDefaultGraphInputTensorShapeBuilder(int) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Optional: Default graph input tensor shape used to allocate memory before executing op
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
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
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
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
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
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
addDefaultResource(String) - Static method in class org.datavec.api.conf.Configuration
Add a default resource.
addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addDevice(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addDevicePersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 device_persistent_tensor_alloc_ids = 6;
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;
addDim(OnnxMlProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, OnnxMlProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(OnnxMlProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, OnnxMlProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(OnnxProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, OnnxProto3.TensorShapeProto.Dimension) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(OnnxProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDim(int, OnnxProto3.TensorShapeProto.Dimension.Builder) - Method in class onnx.OnnxProto3.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.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder(int) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
repeated .onnx.TensorShapeProto.Dimension dim = 1;
addDimBuilder(int) - Method in class onnx.OnnxProto3.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.OnnxMlProto3.TensorProto.Builder
The shape of the tensor.
addDims(long) - Method in class onnx.OnnxProto3.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.OnnxMlProto3.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.OnnxProto3.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.
addDtype(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatArray
 
addDummyTensor(String, Map<String, OnnxProto3.TypeProto.Tensor>) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
 
addedEdges - Variable in class org.nd4j.linalg.api.ops.impl.accum.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
 
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
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;
addEntry(String) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
addEos() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
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.
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)"
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
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
 
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
 
addFloatData(float) - Method in class onnx.OnnxMlProto3.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.OnnxProto3.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.OnnxMlProto3.AttributeProto.Builder
list of floats
addFloats(float) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of floats
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
 
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)"
addFunc(int, NameAttrList) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)"
addFunc(NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)"
addFunc(int, NameAttrList.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)"
addFuncBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)"
addFuncBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(attr)"
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
 
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;
addGraphInputNodeInfo(GraphTransferInfo.GraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeInfo(int, GraphTransferInfo.GraphInputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeInfo(GraphTransferInfo.GraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeInfo(int, GraphTransferInfo.GraphInputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
Input Node parameters of transferred graph
addGraphInputNodeName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph input node name
addGraphInputNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph input node name
addGraphOutputNodeInfo(GraphTransferInfo.GraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferInfo.GraphOutputNodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(GraphTransferInfo.GraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfo(int, GraphTransferInfo.GraphOutputNodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.GraphOutputNodeInfo graph_output_node_info = 6;
addGraphOutputNodeName(String) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph output node name
addGraphOutputNodeNameBytes(ByteString) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
Remote fused graph output node name
addGraphs(OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
addGraphs(int, OnnxMlProto3.GraphProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
addGraphs(OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
addGraphs(int, OnnxMlProto3.GraphProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
addGraphs(OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
addGraphs(int, OnnxProto3.GraphProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
addGraphs(OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
addGraphs(int, OnnxProto3.GraphProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
addGraphsBuilder() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
addGraphsBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of graph
addGraphsBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
addGraphsBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of graph
addHalfVal(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_HALF.
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
 
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.
addHostPersistentTensorAllocIds(long) - Method in class org.tensorflow.framework.MemoryStats.Builder
repeated int64 host_persistent_tensor_alloc_ids = 5;
addi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
addi(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
addi(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
addi(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
addi(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
addi(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
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
in place addition of two matrices
addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
in place addition of two matrices
addi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
addi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
addi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
addi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
addi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
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)"
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.controlflow.If
 
addIArgument(long...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
addIArgument(long...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
addIArgument(int...) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assign
 
addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
addiColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
addiColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place addition of a column vector
addiColumnVector(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
add given column vector to all columns of this array, this array becomes affected (in-place operation) column - column vector to add
addiColumnVector(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
add given column vector to all columns of this array, this array becomes affected (in-place operation) column - column vector to add
addiColumnVector(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
add given column vector to all columns of this array, this array becomes affected (in-place operation) column - column vector to add
addiColumnVector(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
add given column vector to all columns of this array, this array becomes affected (in-place operation) column - column vector to add
addiColumnVector(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
add given column vector to all columns of this array, this array becomes affected (in-place operation) column - column vector to add
addiColumnVector(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
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.FlatGraph
 
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
 
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;
addInitializer(OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
A list of named tensor values (constants), used to specify default values for some of the inputs of the graph.
addInitializer(int, OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.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.OnnxMlProto3.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.OnnxMlProto3.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.OnnxProto3.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.OnnxProto3.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(OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInput(OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInput(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
namespace Value
addInput(OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInput(OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInput(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInput(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
namespace Value
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
 
addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
addInputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
addInputBuilder() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInputBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
The inputs and outputs of the graph.
addInputBytes(ByteString) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
namespace Value
addInputBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
namespace Value
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
 
addInputRename(OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
addInputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
addInputRename(OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
addInputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
addInputRenameBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
addInputRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename input_rename = 8;
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(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(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
 
addInputs(DifferentialFunction...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
 
addInt32Data(int) - Method in class onnx.OnnxMlProto3.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.OnnxProto3.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.OnnxMlProto3.TensorProto.Builder
For int64.
addInt64Data(long) - Method in class onnx.OnnxProto3.TensorProto.Builder
For int64.
addInt64Val(long) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_INT64
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.
addInts(long) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of ints
addInts(long) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of ints
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
In place addition of a column vector
addiRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
addiRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place addition of a row vector
addiRowVector(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
add given row vector to all rows of this array row - row vector to add
addiRowVector(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
add given row vector to all rows of this array row - row vector to add
addiRowVector(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
add given row vector to all rows of this array row - row vector to add
addiRowVector(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
add given row vector to all rows of this array row - row vector to add
addiRowVector(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
add given row vector to all rows of this array row - row vector to add
addiRowVector(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
add given row vector to all rows of this array row - row vector to add
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
 
addLane(Integer, CudaContext) - Method in class org.nd4j.jita.allocator.context.ContextPack
 
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
 
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
 
addMapping(int, int) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
addMapping(int, int) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler
 
addMaxByteSize(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
repeated int32 max_byte_size = 2;
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;
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
 
addMetadataProps(OnnxMlProto3.StringStringEntryProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, OnnxMlProto3.StringStringEntryProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(OnnxMlProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, OnnxMlProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(OnnxProto3.StringStringEntryProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, OnnxProto3.StringStringEntryProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(OnnxProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataProps(int, OnnxProto3.StringStringEntryProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder() - Method in class onnx.OnnxProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addMetadataPropsBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
Named metadata values; keys should be distinct.
addModule(Module) - Method in class org.nd4j.linalg.api.ops.BaseModule
 
addModule(Module) - Method in interface org.nd4j.linalg.api.ops.Module
 
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
 
addNdarray(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
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.StringSplit
 
addNewLocation(String) - Method in class org.datavec.api.split.StringSplit
 
addNode(OnnxMlProto3.NodeProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The nodes in the graph.
addNode(int, OnnxMlProto3.NodeProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The nodes in the graph.
addNode(OnnxMlProto3.NodeProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The nodes in the graph.
addNode(int, OnnxMlProto3.NodeProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The nodes in the graph.
addNode(OnnxProto3.NodeProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
The nodes in the graph.
addNode(int, OnnxProto3.NodeProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
The nodes in the graph.
addNode(OnnxProto3.NodeProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
The nodes in the graph.
addNode(int, OnnxProto3.NodeProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
The nodes in the graph.
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.OnnxMlProto3.GraphProto.Builder
The nodes in the graph.
addNodeBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
The nodes in the graph.
addNodeBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
The nodes in the graph.
addNodeBuilder(int) - Method in class onnx.OnnxProto3.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(GraphTransferInfo.NodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
addNodeInfo(int, GraphTransferInfo.NodeInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
addNodeInfo(GraphTransferInfo.NodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
addNodeInfo(int, GraphTransferInfo.NodeInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
addNodeInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
addNodeInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInfo node_info = 1;
addNodeInput(GraphTransferInfo.NodeInput) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
addNodeInput(int, GraphTransferInfo.NodeInput) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
addNodeInput(GraphTransferInfo.NodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
addNodeInput(int, GraphTransferInfo.NodeInput.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
addNodeInputBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
addNodeInputBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInput node_input = 2;
addNodeInputInfo(GraphTransferInfo.NodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferInfo.NodeInputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
addNodeInputInfo(GraphTransferInfo.NodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
addNodeInputInfo(int, GraphTransferInfo.NodeInputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
addNodeInputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeInputInfo node_input_info = 3;
addNodeOutputInfo(GraphTransferInfo.NodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferInfo.NodeOutputInfo) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
addNodeOutputInfo(GraphTransferInfo.NodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
addNodeOutputInfo(int, GraphTransferInfo.NodeOutputInfo.Builder) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
addNodeOutputInfoBuilder(int) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
repeated .tensorflow.GraphTransferInfo.NodeOutputInfo node_output_info = 4;
addNodes(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
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.
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.arithmetic
Addition operation
AddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
 
AddOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
 
AddOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.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;
addOp(OpGenOverridesOuterClass.OpGenOverride) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
repeated .tensorflow.OpGenOverride op = 1;
addOp(int, OpGenOverridesOuterClass.OpGenOverride) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
repeated .tensorflow.OpGenOverride op = 1;
addOp(OpGenOverridesOuterClass.OpGenOverride.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
repeated .tensorflow.OpGenOverride op = 1;
addOp(int, OpGenOverridesOuterClass.OpGenOverride.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
repeated .tensorflow.OpGenOverride 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;
addOpBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
repeated .tensorflow.OpGenOverride op = 1;
addOpBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
repeated .tensorflow.OpGenOverride op = 1;
addOperator(OnnxOperatorsProto3.OperatorProto) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(int, OnnxOperatorsProto3.OperatorProto) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(OnnxOperatorsProto3.OperatorProto.Builder) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
The operators specified by this operator set.
addOperator(int, OnnxOperatorsProto3.OperatorProto.Builder) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
The operators specified by this operator set.
addOperatorBuilder() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
The operators specified by this operator set.
addOperatorBuilder(int) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
The operators specified by this operator set.
addOpNum(FlatBufferBuilder, long) - Static method in class org.nd4j.graph.FlatNode
 
addOpsetImport(OnnxMlProto3.OperatorSetIdProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, OnnxMlProto3.OperatorSetIdProto) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(OnnxMlProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, OnnxMlProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(OnnxProto3.OperatorSetIdProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, OnnxProto3.OperatorSetIdProto) - Method in class onnx.OnnxProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(OnnxProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImport(int, OnnxProto3.OperatorSetIdProto.Builder) - Method in class onnx.OnnxProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder(int) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder() - Method in class onnx.OnnxProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpsetImportBuilder(int) - Method in class onnx.OnnxProto3.ModelProto.Builder
The OperatorSets this model relies on.
addOpType(FlatBufferBuilder, byte) - Static method in class org.nd4j.graph.FlatNode
 
addOrUpdate(long[], double) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
Add a new element in the ndarray or update the value if there is already a non-null element at this position
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(OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(String) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
namespace Value
addOutput(OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutput(String) - Method in class onnx.OnnxProto3.NodeProto.Builder
namespace Value
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
 
addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
addOutputArgument(INDArray...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
addOutputBuilder() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
repeated .onnx.ValueInfoProto output = 12;
addOutputBuilder(int) - Method in class onnx.OnnxProto3.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.OnnxMlProto3.NodeProto.Builder
namespace Value
addOutputBytes(ByteString) - Method in class onnx.OnnxProto3.NodeProto.Builder
namespace Value
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
 
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)
addOutputRename(OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
addOutputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
addOutputRename(OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
addOutputRename(int, OpGenOverridesOuterClass.OpGenOverride.Rename.Builder) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
addOutputRenameBuilder() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
addOutputRenameBuilder(int) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
repeated .tensorflow.OpGenOverride.Rename output_rename = 9;
addOutputs(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
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.
addOutputs(INDArray...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
 
addOutputs(DifferentialFunction...) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
 
addOutputShape(int[]) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
Adds an oup
addOutputShape(long[]) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
 
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
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
 
addPropertyForFunction(DifferentialFunction, String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add a property for the given function
addPropertyForFunction(DifferentialFunction, String, long) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add a property for the given function
addPropertyToResolve(DifferentialFunction, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Adds a property that needs to be resolve for later.
addPut(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
addition unary operator array += other other - input array to add
addPut(double) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
addPut(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
addition unary operator array += other other - input array to add
addPut(float) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
addPut(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
addition unary operator array += other other - input array to add
addPut(short) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
addPut(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
addition unary operator array += other other - input array to add
addPut(double) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
addPut(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
addition unary operator array += other other - input array to add
addPut(float) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
addPut(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
addition unary operator array += other other - input array to add
addPut(short) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
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(...)
addReadLane(cudaEvent_t) - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
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
addReferencing(String) - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.GraphProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ModelProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.NodeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class onnx.OnnxProto3.ValueInfoProto.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.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.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.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.GradientDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphDef.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class org.tensorflow.framework.HistogramProto.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.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.NameAttrList.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.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.SaveSliceInfoDef.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.TensorDescription.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.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.util.IteratorStateMetadata.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
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
addResourceHandleVal(int, ResourceHandleProto) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE
addResourceHandleVal(ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE
addResourceHandleVal(int, ResourceHandleProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE
addResourceHandleValBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE
addResourceHandleValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_RESOURCE
addResourcePathToPackagePath(Class<?>, String) - Static method in class org.nd4j.linalg.io.ClassUtils
 
addResourcesToPool(int) - Method in class org.nd4j.jita.allocator.context.impl.LimitedContextPool
 
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
address() - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
This method always returns host 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
addressPointer() - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
AddressRetriever - Class in org.nd4j.linalg.jcublas.buffer
Address retriever for a data buffer (both on host and device)
AddressRetriever() - Constructor for class org.nd4j.linalg.jcublas.buffer.AddressRetriever
 
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
In place addition of a column vector
addRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
addRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Addition of a row vector (copy)
addRowVector(Nd4jCpu.DoubleNDArray, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
add given row vector to all rows of this array, store result in target row - row vector to add target - where to store result
addRowVector(Nd4jCpu.FloatNDArray, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
add given row vector to all rows of this array, store result in target row - row vector to add target - where to store result
addRowVector(Nd4jCpu.HalfNDArray, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
add given row vector to all rows of this array, store result in target row - row vector to add target - where to store result
addRowVector(Nd4jCuda.DoubleNDArray, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
add given row vector to all rows of this array, store result in target row - row vector to add target - where to store result
addRowVector(Nd4jCuda.FloatNDArray, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
add given row vector to all rows of this array, store result in target row - row vector to add target - where to store result
addRowVector(Nd4jCuda.HalfNDArray, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
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(ByteString) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(string)"
addScalar(FlatBufferBuilder, float) - Static method in class org.nd4j.graph.FlatNode
 
addScomplexVal(float) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_COMPLEX64.
addScopeId(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
addScopeName(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatNode
 
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
 
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.
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatArray
 
addShape(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatVariable
 
addShape(TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)"
addShape(int, TensorShapeProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)"
addShape(TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)"
addShape(int, TensorShapeProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)"
addShape(long) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
repeated int64 shape = 3;
addShape(long) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
repeated int64 shape = 2;
addShape(long) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
repeated int64 shape = 2;
addShapeBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)"
addShapeBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(shape)"
addShard(String, int) - Method in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
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
 
addShard(String, int) - Method in interface org.nd4j.parameterserver.distributed.transport.Transport
 
addSource(SequenceIterator<T>, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
Adds SequenceIterator for vocabulary construction.
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
 
addStrategy(NormalizerSerializerStrategy) - Method in class org.nd4j.linalg.dataset.api.preprocessor.serializer.NormalizerSerializer
Add a normalizer serializer strategy
addStringData(ByteString) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
For strings.
addStringData(ByteString) - Method in class onnx.OnnxProto3.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.OnnxMlProto3.AttributeProto.Builder
list of UTF-8 strings
addStrings(ByteString) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of UTF-8 strings
addStringToArray(String[], String) - Static method in class org.nd4j.linalg.io.StringUtils
 
addStringVal(ByteString) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_STRING
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
 
addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
addTArgument(double...) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
addTensor(TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
addTensor(int, TensorProto) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
addTensor(TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
addTensor(int, TensorProto.Builder) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
addTensorBuilder() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
addTensorBuilder(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(tensor)"
addTensors(OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of tensors
addTensors(int, OnnxMlProto3.TensorProto) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of tensors
addTensors(OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of tensors
addTensors(int, OnnxMlProto3.TensorProto.Builder) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of tensors
addTensors(OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of tensors
addTensors(int, OnnxProto3.TensorProto) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of tensors
addTensors(OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of tensors
addTensors(int, OnnxProto3.TensorProto.Builder) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of tensors
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.OnnxMlProto3.AttributeProto.Builder
list of tensors
addTensorsBuilder(int) - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
list of tensors
addTensorsBuilder() - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of tensors
addTensorsBuilder(int) - Method in class onnx.OnnxProto3.AttributeProto.Builder
list of tensors
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
 
addThreadToTrace(Long) - Method in class org.nd4j.jita.allocator.impl.AllocationPoint
 
addTime(long) - Method in class org.nd4j.linalg.profiler.data.primitives.TimeSet
 
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
 
addToActivations(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
 
addToAllocation(Long, Integer, long) - Method in class org.nd4j.jita.allocator.concurrency.DeviceAllocationsTracker
 
addToChunks(INDArray) - Method in class org.nd4j.parameterserver.distributed.messages.aggregations.BaseAggregation
 
addToConfusion(Integer, Integer) - Method in class org.deeplearning4j.eval.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(VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
addToken(T) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Adds a token to the cache
addToObjects(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
 
addToObjects(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
 
addToReservedSpace(Integer, long) - Method in class org.nd4j.jita.allocator.concurrency.DeviceAllocationsTracker
 
addToTemporary(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
 
addToTemporary(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
 
addToTotal(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
These methods just adding amount of bytes to various counters
addToTotal(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
These methods just adding amount of bytes to various counters
addToWatchdog(INDArray, String) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
 
addType(DataType) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(type)"
addTypeTypeRelativeToNDArray(FlatBufferBuilder, INDArray) - Static method in class org.nd4j.arrow.ArrowSerde
Convert the given INDArray data type to the proper data type for the tensor.
addTypeValue(int) - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
"list(type)"
addUint32Val(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_UINT32
addUint64Data(long) - Method in class onnx.OnnxMlProto3.TensorProto.Builder
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
addUint64Data(long) - Method in class onnx.OnnxProto3.TensorProto.Builder
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
addUint64Val(long) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_UINT64
addUpdate(NDArrayMessage) - Method in class org.nd4j.parameterserver.updater.storage.InMemoryUpdateStorage
Add an ndarray to the storage
addUpdate(NDArrayMessage) - Method in class org.nd4j.parameterserver.updater.storage.NoUpdateStorage
Add an ndarray to the storage
addUpdate(NDArrayMessage) - Method in class org.nd4j.parameterserver.updater.storage.RocksDbStorage
Add an ndarray to the storage
addUpdate(NDArrayMessage) - Method in interface org.nd4j.parameterserver.updater.storage.UpdateStorage
Add an ndarray to the storage
addValue(String, double) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
addValue(MemcpyDirection, Long) - Method in class org.nd4j.linalg.api.ops.performance.primitives.AveragingTransactionsHolder
 
addValue(Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addValue(int, Summary.Value) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addValue(Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addValue(int, Summary.Value.Builder) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addValueBuilder() - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addValueBuilder(int) - Method in class org.tensorflow.framework.Summary.Builder
Set of values for the summary.
addValueInfo(OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfo(int, OnnxMlProto3.ValueInfoProto) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfo(OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfo(int, OnnxMlProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfo(OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfo(int, OnnxProto3.ValueInfoProto) - Method in class onnx.OnnxProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfo(OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfo(int, OnnxProto3.ValueInfoProto.Builder) - Method in class onnx.OnnxProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfoBuilder() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfoBuilder(int) - Method in class onnx.OnnxMlProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfoBuilder() - Method in class onnx.OnnxProto3.GraphProto.Builder
Information for the values in the graph.
addValueInfoBuilder(int) - Method in class onnx.OnnxProto3.GraphProto.Builder
Information for the values in the graph.
addValues(List<String>, double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
addValues(List<String>, float[]) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
addVariable(String) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
addVariable(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Add the specified variable to this SameDiff instance
addVariableMappingForField(DifferentialFunction, String, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Adds a field name -> variable name mapping for a given function.
This is used for model import where there is an unresolved variable at the time of calling any GraphMapper.importGraph(File) .
addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatGraph
 
addVariables(FlatBufferBuilder, int) - Static method in class org.nd4j.graph.FlatResult
 
addVariantVal(VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT
addVariantVal(int, VariantTensorDataProto) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT
addVariantVal(VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT
addVariantVal(int, VariantTensorDataProto.Builder) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT
addVariantValBuilder() - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT
addVariantValBuilder(int) - Method in class org.tensorflow.framework.TensorProto.Builder
DT_VARIANT
addVarNameForImport(String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Marks a variable name as imported.
addVarOffset(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Offset of this variable into the full variable.
addVarShape(long) - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
Shape of this variable.
addVertex(String, GraphVertex, String...) - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
addVertex(Vertex<V>, Edge<E>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
addVertex(Vertex<V>, Collection<Edge<E>>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
addVertex(String, GraphVertex, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a GraphVertex to the network configuration.
addVertex(String, GraphVertex, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Add a vertex of the given configuration to the computation graph
addWeightParam(String, long...) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
Add a weight parameter to the layer, with the specified shape.
addWindowEndTimeColumn(boolean) - Method in class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction.Builder
 
addWindowEndTimeColumn(boolean) - Method in class org.datavec.api.transform.sequence.window.TimeWindowFunction.Builder
 
addWindowStartTimeColumn(boolean) - Method in class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction.Builder
 
addWindowStartTimeColumn(boolean) - Method in class org.datavec.api.transform.sequence.window.TimeWindowFunction.Builder
 
addWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Adds new word to vocabulary
addWord(VocabularyWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
addWordsToDoc(int, List<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordsToDoc(int, List<T>, String) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordsToDoc(int, List<T>, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordsToDoc(int, List<T>, Collection<String>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordsToDocVocabWord(int, List<T>, Collection<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordToDoc(int, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Add word to a document
addWordToIndex(int, String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
This method allows to insert specified label to specified Huffman tree position.
addWordToIndex(int, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
addWordToIndex(int, String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
addWordToIndex(int, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
addWordToIndex(int, String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
addWordToIndex(int, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
addWorkerStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
adjustBlock(ComputationGraphConfiguration.GraphBuilder, int, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
adjustBlock(ComputationGraphConfiguration.GraphBuilder, int, String, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
adjustedrSquared(double, int, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This calculates the adjusted r^2 including degrees of freedom.
adjustedrSquared(double, int, int) - Static method in class org.nd4j.linalg.util.MathUtils
This calculates the adjusted r^2 including degrees of freedom.
adjustIndices(int[], INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.Indices
Prunes indices of greater length than the shape and fills in missing indices if there are any
adjustMasks(INDArray, INDArray, int, double) - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
 
adjustSchemeToBounds(INDArray, INDArray, int, INDArray, INDArray) - Static method in class org.nd4j.finitedifferences.TwoPointApproximation
Adjust final scheme to presence of bounds Returns (in this order): adjusted hypothesis, whether to use onesided as an int mask array
advanceAction() - Method in class vizdoom.DoomGame
 
advanceAction(int) - Method in class vizdoom.DoomGame
 
advanceAction(int, boolean) - Method in class vizdoom.DoomGame
 
advanceToNextLocation() - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
aeron - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
AERON_TERM_BUFFER_PROP - Static variable in class org.nd4j.config.ND4JSystemProperties
Applicability: nd4j-parameter-server, dl4j-spark (gradient sharing training master)
Description: Aeros in a high-performance communication library used in distributed computing contexts in some places in ND4J and DL4J.
aeronChannel(String, int) - Static method in class org.nd4j.aeron.ipc.AeronUtil
Aeron channel generation
AeronConnectionInformation - Class in org.nd4j.aeron.ipc
Aeron connection information pojo.
AeronConnectionInformation() - Constructor for class org.nd4j.aeron.ipc.AeronConnectionInformation
 
AeronNDArrayPublisher - Class in org.nd4j.aeron.ipc
NDArray publisher for aeron
AeronNDArrayPublisher() - Constructor for class org.nd4j.aeron.ipc.AeronNDArrayPublisher
 
AeronNDArrayResponder - Class in org.nd4j.aeron.ipc.response
An aeron subscriber which, given aeron connection information and an
AeronNDArrayResponder() - Constructor for class org.nd4j.aeron.ipc.response.AeronNDArrayResponder
 
AeronNDArraySerde - Class in org.nd4j.aeron.ipc
NDArray Serialization and de serialization class for aeron.
AeronNDArraySerde() - Constructor for class org.nd4j.aeron.ipc.AeronNDArraySerde
 
AeronNDArraySubscriber - Class in org.nd4j.aeron.ipc
Subscriber for ndarrays.
AeronNDArraySubscriber() - Constructor for class org.nd4j.aeron.ipc.AeronNDArraySubscriber
 
AeronStat - Class in org.nd4j.aeron.util
Tool for printing out Aeron counters.
AeronStat(CountersReader, Pattern, Pattern, Pattern, Pattern, Pattern) - Constructor for class org.nd4j.aeron.util.AeronStat
 
AeronStat(CountersReader) - Constructor for class org.nd4j.aeron.util.AeronStat
 
AeronUtil - Class in org.nd4j.aeron.ipc
Utility functions for samples
AeronUtil() - Constructor for class org.nd4j.aeron.ipc.AeronUtil
 
AFFINITY_MANAGER - Static variable in class org.nd4j.linalg.factory.Nd4j
 
affinityId - Variable in class org.deeplearning4j.models.word2vec.VocabWord
 
AffinityManager - Interface in org.nd4j.linalg.api.concurrency
 
affinityManager - Static variable in class org.nd4j.linalg.factory.Nd4j
 
AffinityManager.Location - Enum in org.nd4j.linalg.api.concurrency
 
affinityManagerClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
AggregableCheckingOp<T> - Class in org.datavec.api.transform.ops
A variant of IAggregableReduceOp exercised on a Writable that takes schema metadata in its constructor, and checks the input Writable against the schema before accepting it.
AggregableCheckingOp() - Constructor for class org.datavec.api.transform.ops.AggregableCheckingOp
 
AggregableColumnReduction - Interface in org.datavec.api.transform.reduce
A column reduction defines how a single column should be reduced.
AggregableCount() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableCount
 
AggregableCountUnique(float) - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableCountUnique
 
AggregableFirst() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableFirst
 
AggregableLast() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableLast
 
AggregableMax() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableMax
 
AggregableMean() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableMean
 
AggregableMin() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableMin
 
AggregableMultiOp<T> - Class in org.datavec.api.transform.ops
This class transforms a list of IAggregableReduceOp on one single field, each returning a Writable and transforms it into an operation on that single column, that returns a Writable list.
AggregableMultiOp() - Constructor for class org.datavec.api.transform.ops.AggregableMultiOp
 
AggregablePopulationVariance() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregablePopulationVariance
 
AggregableProd() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableProd
 
AggregableRange() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableRange
 
aggregableReducer() - Method in interface org.datavec.api.transform.reduce.IAssociativeReducer
An aggregation that has the property that reduce(List(reduce(List(l1, l2)), l3)) = reduce(List(l1, reduce(List(l2, l3)))
aggregableReducer() - Method in class org.datavec.api.transform.reduce.Reducer
 
AggregableReductionUtils - Class in org.datavec.api.transform.reduce
Various utilities for performing reductions
AggregableStdDev() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableStdDev
 
AggregableStringAppend() - Constructor for class org.datavec.api.transform.ops.StringAggregatorImpls.AggregableStringAppend
 
AggregableStringPrepend() - Constructor for class org.datavec.api.transform.ops.StringAggregatorImpls.AggregableStringPrepend
 
AggregableSum() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableSum
 
AggregableUncorrectedStdDev() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableUncorrectedStdDev
 
AggregableVariance() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls.AggregableVariance
 
aggregate(DataRowsFacade, String[], String[]) - Static method in class org.datavec.spark.transform.Normalization
Aggregate based on an arbitrary list of aggregation and grouping functions
Aggregate - Interface in org.nd4j.linalg.api.ops.aggregates
Aggregates are ops that work with custom operands, that are not limited to traditional X, Y and Z constraints.
aggregate(Aggregate) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
This method enqueues aggregate op for future invocation
aggregate(Aggregate, long) - Method in interface org.nd4j.linalg.api.ops.executioner.GridExecutioner
This method enqueues aggregate op for future invocation.
aggregate(Aggregate) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
This method enqueues aggregate op for future invocation with respect to thread and op order This method uses current thread Id as aggregation key.
aggregate(Aggregate, long) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
This method enqueues aggregate op for future invocation.
AggregateAxpy - Class in org.nd4j.linalg.api.ops.aggregates.impl
This op describes Axpy call that'll happen soon(TM) in batch mode
AggregateAxpy(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
 
AggregateCBOW - Class in org.nd4j.linalg.api.ops.aggregates.impl
 
AggregateCBOW(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int[], int, int, int, double, long, int, int, boolean, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
Optional constructor for ParagraphVectors PV-DM implementation
AggregateCBOW(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int[], int, int, int, double, long, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
Default constructor for CBOW implementation wrapper
AggregateDescriptor - Class in org.nd4j.linalg.jcublas.ops.executioner.aggregates
 
AggregateDescriptor() - Constructor for class org.nd4j.linalg.jcublas.ops.executioner.aggregates.AggregateDescriptor
 
AggregateDot - Class in org.nd4j.linalg.api.ops.aggregates.impl
This op describes Dot call that'll happen soon(TM) in batch mode
AggregateDot(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
 
AggregateGEMM - Class in org.nd4j.linalg.api.ops.aggregates.impl
PLEASE NOTE: This op is available for CPU only, and should NOT be ever called manually, unless you know why you're using it
AggregateGEMM() - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
AggregateGEMM(int, int, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
AggregateSkipGram - Class in org.nd4j.linalg.api.ops.aggregates.impl
This aggregate encapsulates AggregateSkipGram training round for a given word and context
AggregateSkipGram(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int, int, int, double, long, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
AggregateSkipGram(INDArray, INDArray, INDArray, INDArray, INDArray, int, int[], int[], int, int, int, double, long, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
AggregateSkipGram(int, int, int[], int[], int, double, int) - Constructor for class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
This is special signature suitable for use with VoidParameterServer, never ever use it outside of spark-nlp
AggregatingSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
This is simple wrapper suited for aggregation of few SentenceIterators into single flow.
AggregatingSentenceIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator
 
AGGREGATION - Static variable in class org.nd4j.graph.OpType
 
aggregationDepth - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
aggregationDepth - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
aggregationDepth(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
The number of levels in the aggregation tree for parameter synchronization.
aggregationFinished(VoidAggregation) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
aggregationFinished(VoidAggregation) - Method in class org.nd4j.parameterserver.distributed.training.impl.CbowTrainer
 
aggregationFinished(VoidAggregation) - Method in class org.nd4j.parameterserver.distributed.training.impl.SkipGramTrainer
This method is invoked after particular aggregation finished
aggregationFinished(VoidAggregation) - Method in interface org.nd4j.parameterserver.distributed.training.TrainingDriver
 
aggregationType - Variable in class org.nd4j.parameterserver.distributed.messages.aggregations.BaseAggregation
 
aggregationWidth - Variable in class org.nd4j.parameterserver.distributed.messages.aggregations.BaseAggregation
 
AggregatorImpls - Class in org.datavec.api.transform.ops
Created by huitseeker on 4/28/17.
AggregatorImpls() - Constructor for class org.datavec.api.transform.ops.AggregatorImpls
 
AggregatorImpls.AggregableCount<T> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregableCountUnique<T> - Class in org.datavec.api.transform.ops
This distinct count is based on streamlib's implementation of "HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm", available here.
AggregatorImpls.AggregableFirst<T> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregableLast<T> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregableMax<T extends java.lang.Number & java.lang.Comparable<T>> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregableMean<T extends java.lang.Number> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregableMin<T extends java.lang.Number & java.lang.Comparable<T>> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregablePopulationVariance<T extends java.lang.Number> - Class in org.datavec.api.transform.ops
This class offers an aggregable reduce operation for the population variance, i.e.
AggregatorImpls.AggregableProd<T extends java.lang.Number> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregableRange<T extends java.lang.Number & java.lang.Comparable<T>> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregableStdDev<T extends java.lang.Number> - Class in org.datavec.api.transform.ops
This class offers an aggregable reduce operation for the unbiased standard deviation, i.e.
AggregatorImpls.AggregableSum<T extends java.lang.Number> - Class in org.datavec.api.transform.ops
 
AggregatorImpls.AggregableUncorrectedStdDev<T extends java.lang.Number> - Class in org.datavec.api.transform.ops
This class offers an aggregable reduce operation for the biased standard deviation, i.e.
AggregatorImpls.AggregableVariance<T extends java.lang.Number> - Class in org.datavec.api.transform.ops
This class offers an aggregable reduce operation for the unbiased variance, i.e.
Aggressiveness - Enum in org.nd4j.jita.allocator.enums
 
AgronaPersistable - Interface in org.deeplearning4j.ui.storage
Created by Alex on 07/10/2016.
ale - Variable in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
ALEMDP - Class in org.deeplearning4j.rl4j.mdp.ale
 
ALEMDP(String) - Constructor for class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
ALEMDP(String, boolean) - Constructor for class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
ALEMDP(String, boolean, ALEMDP.Configuration) - Constructor for class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
ALEMDP.Configuration - Class in org.deeplearning4j.rl4j.mdp.ale
 
ALEMDP.GameScreen - Class in org.deeplearning4j.rl4j.mdp.ale
 
aLength() - Method in class org.nd4j.graph.FlatProperties
 
AlexNet - Class in org.deeplearning4j.zoo.model
AlexNet Dl4j's AlexNet model interpretation based on the original paper ImageNet Classification with Deep Convolutional Neural Networks and the imagenetExample code referenced.
ALF - Variable in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
ALIAS_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
ALIAS_INPUT_PORT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
all(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
all() - Static method in class org.nd4j.autodiff.samediff.SDIndex
 
All - Class in org.nd4j.linalg.api.ops.impl.accum
Boolean AND accumulation
All(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.All
 
All() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.All
 
All(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.All
 
all() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Represents collecting all elements
all() - Static method in class org.nd4j.nativeblas.Nd4jCpu.NDIndex
 
all() - Static method in class org.nd4j.nativeblas.Nd4jCuda.NDIndex
 
ALL_END_REL_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
 
ALL_START_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeExecStats
 
allCosineDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
allCosineSimilarities(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
allDepleted - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
allDocs() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns a list of all documents
allEuclideanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
allExamples() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
allExamples() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
allExamples() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
allExamples() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
allExamples() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
allExamples() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
allFalse() - Method in class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
This method returns true if ALL states are false.
allFalse() - Static method in class org.nd4j.linalg.api.blas.params.MMulTranspose
Returns the default transpose where all are false
allFeatureCount - Variable in class org.ansj.app.crf.Model
 
allFor(INDArray) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Generate an all index equal to the rank of the given array
allFreq - Variable in class org.ansj.domain.PersonNatureAttr
 
allFreq - Variable in class org.ansj.domain.TermNatures
所有的词频
allFrequency - Variable in class org.ansj.domain.Nature
 
allLabels() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
Return the list of labels - this also defines the class/integer label assignment order
allLabels() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
allLabels() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
allLabels() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
allManhattanDistances(INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
alloc(AllocationStatus, AllocationPoint, AllocationShape, boolean) - Method in class org.nd4j.jita.handler.impl.CudaZeroHandler
Allocate specified memory chunk on specified device/host
alloc(AllocationStatus, AllocationPoint, AllocationShape, boolean) - Method in interface org.nd4j.jita.handler.MemoryHandler
Allocate specified memory chunk on specified device/host
alloc(long, DataBuffer.Type, boolean) - Method in class org.nd4j.jita.workspace.CudaWorkspace
 
alloc(long, MemoryKind, DataBuffer.Type, boolean) - Method in class org.nd4j.jita.workspace.CudaWorkspace
 
alloc(DataBuffer, int, int, int) - Method in interface org.nd4j.linalg.api.buffer.allocation.MemoryStrategy
Allocate memory for the given buffer
alloc(long, DataBuffer.Type, boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
This method does allocation from a given Workspace
alloc(long, MemoryKind, DataBuffer.Type, boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
This method does allocation from a given Workspace
alloc - Static variable in class org.nd4j.linalg.factory.Nd4j
 
alloc(long, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
This method does allocation from a given Workspace
alloc(long, MemoryKind, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
This method does allocation from a given Workspace
alloc(long, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
alloc(long, MemoryKind, DataBuffer.Type, boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
ALLOC_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationRecord
 
ALLOC_MICROS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationRecord
 
allocate(long, MemoryKind, boolean) - Method in class org.nd4j.jita.memory.CudaMemoryManager
This method returns Pointer to allocated memory chunk PLEASE NOTE: Cache options depend on specific implementations
allocate(long, MemoryKind, boolean) - Method in class org.nd4j.linalg.cpu.nativecpu.CpuMemoryManager
This method returns PLEASE NOTE: Cache options depend on specific implementations
allocate(long, MemoryKind, boolean) - Method in class org.nd4j.linalg.memory.BasicMemoryManager
This method returns PLEASE NOTE: Cache options depend on specific implementations
allocate(long, MemoryKind, boolean) - Method in interface org.nd4j.linalg.memory.MemoryManager
This method returns pointer to allocated memory PLEASE NOTE: Cache options depend on specific implementations
allocateBytes(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.Workspace
 
allocateBytes(int, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.Workspace
 
allocateBytes(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.Workspace
 
allocateBytes(int, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.Workspace
 
ALLOCATED_BYTES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription
 
allocateMemory(DataBuffer, AllocationShape, boolean) - Method in interface org.nd4j.jita.allocator.Allocator
This method allocates required chunk of memory
allocateMemory(DataBuffer, AllocationShape, AllocationStatus, boolean) - Method in interface org.nd4j.jita.allocator.Allocator
This method allocates required chunk of memory in specific location PLEASE NOTE: Do not use this method, unless you're 100% sure what you're doing
allocateMemory(DataBuffer, AllocationShape, boolean) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method allocates required chunk of memory
allocateMemory(DataBuffer, AllocationShape, AllocationStatus, boolean) - Method in class org.nd4j.jita.allocator.impl.AtomicAllocator
This method allocates required chunk of memory in specific location
allocateWithSize(int) - Method in class org.nd4j.list.BaseNDArrayList
Allocates the container and this list with the given size
ALLOCATION_DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorDescription
 
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription
 
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation
 
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation
 
ALLOCATION_ID_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
ALLOCATION_RECORDS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed
 
AllocationDescription - Class in org.tensorflow.framework
Protobuf type tensorflow.AllocationDescription
AllocationDescription.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.AllocationDescription
AllocationDescriptionOrBuilder - Interface in org.tensorflow.framework
 
AllocationDescriptionProtos - Class in org.tensorflow.framework
 
allocationMode - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
allocationMode() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
allocationMode() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Allocation mode for buffers
allocationMode() - Method in interface org.nd4j.linalg.api.buffer.factory.DataBufferFactory
Allocation mode for the data buffer
allocationMode - Variable in class org.nd4j.linalg.api.buffer.factory.DefaultDataBufferFactory
 
allocationMode() - Method in class org.nd4j.linalg.api.buffer.factory.DefaultDataBufferFactory
 
allocationMode() - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
allocationMode - Variable in class org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory
 
allocationMode() - Method in class org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory
 
AllocationPoint - Class in org.nd4j.jita.allocator.impl
This class describes top-level allocation unit.
AllocationPoint() - Constructor for class org.nd4j.jita.allocator.impl.AllocationPoint
 
allocationPoint - Variable in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
AllocationPolicy - Enum in org.nd4j.linalg.api.memory.enums
 
AllocationRecord - Class in org.tensorflow.framework
An allocation/de-allocation operation performed by the allocator.
AllocationRecord.Builder - Class in org.tensorflow.framework
An allocation/de-allocation operation performed by the allocator.
AllocationRecordOrBuilder - Interface in org.tensorflow.framework
 
AllocationShape - Class in org.nd4j.jita.allocator.impl
 
AllocationShape(long, int, DataBuffer.Type) - Constructor for class org.nd4j.jita.allocator.impl.AllocationShape
 
AllocationStatus - Enum in org.nd4j.jita.allocator.enums
This enum describes possible memory allocation status/locations
AllocationUtils - Class in org.nd4j.jita.allocator.utils
 
AllocationUtils() - Constructor for class org.nd4j.jita.allocator.utils.AllocationUtils
 
Allocator - Interface in org.nd4j.jita.allocator
Allocator interface provides methods for transparent memory management
ALLOCATOR_BYTES_IN_USE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed
 
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocationDescription
 
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AllocatorMemoryUsed
 
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawAllocation
 
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation
 
ALLOCATOR_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
AllocatorFactory - Class in org.nd4j.linalg.api.buffer.factory
Created by agibsonccc on 2/25/16.
AllocatorFactory() - Constructor for class org.nd4j.linalg.api.buffer.factory.AllocatorFactory
 
AllocatorInstanceHolder - Class in org.nd4j.linalg.api.buffer.factory
Created by agibsonccc on 2/25/16.
AllocatorInstanceHolder() - Constructor for class org.nd4j.linalg.api.buffer.factory.AllocatorInstanceHolder
 
AllocatorMemoryUsed - Class in org.tensorflow.framework
Protobuf type tensorflow.AllocatorMemoryUsed
AllocatorMemoryUsed.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.AllocatorMemoryUsed
AllocatorMemoryUsedOrBuilder - Interface in org.tensorflow.framework
 
AllocUtil - Class in org.nd4j.linalg.api.buffer.util
Used for manipulating the allocation variable in nd4j's context
AllocUtil() - Constructor for class org.nd4j.linalg.api.buffer.util.AllocUtil
 
allowCrossDeviceAccess(boolean) - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
 
allowCrossDeviceAccess(boolean) - Method in class org.nd4j.jita.conf.Configuration
Enables/disables P2P memory access for multi-gpu
allowCrossDeviceAccess(boolean) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
This method allows to block cross-device access.
allowCrossDeviceAccess(boolean) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
 
allowDisconnected - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
allowDisconnected(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Used only during validation after building.
If true: don't throw an exception on configurations containing vertices that are 'disconnected'.
ALLOWED_DELIMITERS - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
ALLOWED_FORMATS - Static variable in class org.datavec.image.loader.BaseImageLoader
 
ALLOWED_FORMATS - Static variable in class org.datavec.image.loader.NativeImageLoader
 
ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef.AttrConstraint
 
ALLOWED_VALUES_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef
 
allowEmptyClusters - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
allowFallbackFromDevice(boolean) - Method in class org.nd4j.jita.conf.Configuration
NOT IMPLEMENTED YET
allowFormat - Variable in class org.datavec.api.split.FileSplit
 
allowInputModification(boolean) - Method in interface org.deeplearning4j.nn.api.Layer
A performance optimization: mark whether the layer is allowed to modify its input array in-place.
allowInputModification(boolean) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
allowInputModification(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
allowInputModification(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
allowInputModification(boolean) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
allowInputModification(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
allowMultiGPU(boolean) - Method in class org.nd4j.jita.conf.Configuration
This method allows you to enable or disable multi-GPU mode.
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
allowMultithreading(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
This method enables/disables parallel processing over sentences
allowNoOutput - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
allowNoOutput(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Used only during validation after building.
If true: don't throw an exception on configurations without any outputs.
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method enables/disables parallel tokenization.
allowParallelTokenization - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method enables/disables parallel tokenization.
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
allowPreallocation(boolean) - Method in class org.nd4j.jita.conf.Configuration
If set to true, each non-cached allocation request will cause few additional allocations, Default value: true
ALLOWS_UNINITIALIZED_INPUT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
allowsInplace() - Method in class org.nd4j.nativeblas.Nd4jCpu.OpDescriptor
 
allowsInplace() - Method in class org.nd4j.nativeblas.Nd4jCuda.OpDescriptor
 
allowsOrder() - Method in class org.nd4j.linalg.cpu.nativecpu.CpuBackend
 
allowsOrder() - Method in class org.nd4j.linalg.factory.Nd4jBackend
Returns true if the backend allows order to be specified on blas operations (cblas)
allowsOrder() - Method in class org.nd4j.linalg.jcublas.JCublasBackend
 
allowsSpecifyOrdering() - Static method in class org.nd4j.linalg.factory.Nd4j
Backend specific: Returns whether specifying the order for the blas impl is allowed (cblas)
allParamConstraints - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
allParamConstraints - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
allParamConstraints - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
allPlaceHolderVariablesResolved() - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns true if all place holder variables are resolved.
A place holder variable is resolved when SameDiff.getVariable(String) getArr() does not return null and the shape is properly resolved.
allPresent(String) - Method in interface org.nd4j.aeron.ipc.chunk.ChunkAccumulator
Returns true if all chunks are present
allPresent(String) - Method in class org.nd4j.aeron.ipc.chunk.InMemoryChunkAccumulator
Returns true if all chunks are present
allResults - Variable in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
allRunning() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
allTensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
allTensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
allTensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
allTensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
allTensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
allTensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
allTensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
allTensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
allTensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
allTensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
allTensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
allTensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
allTensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
allTensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
allTensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
allTensorsAlongDimension(IntPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
allTensorsAlongDimension(IntBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
allTensorsAlongDimension(int[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
allTrue() - Method in class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
This method returns true if ALL states are true.
allUnique(int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
Returns true if all of the elements in the given int array are unique
allWords() - Method in interface org.ansj.splitWord.GetWords
全文全词全匹配
allWords() - Method in class org.ansj.splitWord.impl.GetWordsImpl
 
alpha(double) - Method in class org.deeplearning4j.arbiter.layers.CenterLossOutputLayerSpace.Builder
 
alpha(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.CenterLossOutputLayerSpace.Builder
 
alpha(double) - Method in class org.deeplearning4j.arbiter.layers.LocalResponseNormalizationLayerSpace.Builder
 
alpha(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.LocalResponseNormalizationLayerSpace.Builder
 
alpha - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
alpha - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
alpha(double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
Parameter in exponent of weighting function; default 0.75
alpha - Variable in class org.deeplearning4j.models.glove.Glove.Builder
 
alpha(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Parameter in exponent of weighting function; default 0.75
alpha - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
alpha - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
alpha - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
alpha - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
alpha(double) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
alpha - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
alpha(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
LRN scaling constant alpha.
alpha - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
alpha - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedCbowDotMessage
 
alpha - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSgDotMessage
 
alpha - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSkipGramMessage
 
alpha - Variable in class org.nd4j.parameterserver.distributed.messages.requests.CbowRequestMessage
 
alpha - Variable in class org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMessage
 
AlphaDropout - Class in org.deeplearning4j.nn.conf.dropout
AlphaDropout is a dropout technique proposed by Klaumbauer et al.
AlphaDropout(double) - Constructor for class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
AlphaDropout(ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
AlphaDropout(double, ISchedule, double, double) - Constructor for class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
AlphaDropOut - Class in org.nd4j.linalg.api.ops.random.impl
AlphaDropOut implementation as Op
AlphaDropOut() - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
 
AlphaDropOut(INDArray, double, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
 
AlphaDropOut(INDArray, INDArray, double, double, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
 
AlphaDropOut(INDArray, INDArray, double, double, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
 
AlphaDropoutSpace - Class in org.deeplearning4j.arbiter.dropout
 
AlphaDropoutSpace(double) - Constructor for class org.deeplearning4j.arbiter.dropout.AlphaDropoutSpace
 
alreadySeen(NODE_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
 
alreadySeen(OnnxProto3.NodeProto) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
 
alreadySeen(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
 
amax(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
amax(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))
amax(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Absolute max array reduction operation, optionally along specified dimensions: out = max(abs(x))
amax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
amax(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
amax(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the absolute overall max of this ndarray along given dimensions
AMax - Class in org.nd4j.linalg.api.ops.impl.accum
Calculate the absolute max over a vector
AMax(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
 
AMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
 
AMax(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
 
AMax(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
 
AMax(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
 
AMax() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
 
AMax(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMax
 
amax(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast absolute max op.
amaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
amaxNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
amaxNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns maximum (absolute) value in this INDArray
AmbiguityLibrary - Class in org.ansj.library
 
AmbiguityLibrary() - Constructor for class org.ansj.library.AmbiguityLibrary
 
amean(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
amean(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))
amean(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Absolute mean array reduction operation, optionally along specified dimensions: out = mean(abs(x))
amean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
amean(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
amean(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the absolute overall mean of this ndarray
AMean - Class in org.nd4j.linalg.api.ops.impl.accum
Calculate the absolute mean of the given vector
AMean(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
 
AMean(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
 
AMean() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
 
AMean(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
 
AMean(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
 
AMean(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
 
AMean(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
 
AMean(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMean
 
ameanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
ameanNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
ameanNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the absolute overall mean of this ndarray
amin(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
amin(SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))
amin(String, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
Absolute min array reduction operation, optionally along specified dimensions: out = min(abs(x))
amin(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
amin(int...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
amin(int...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns minimum (absolute) value in this INDArray, along the specified dimensions
AMin - Class in org.nd4j.linalg.api.ops.impl.accum
Calculate the absolute minimum over a vector
AMin(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
 
AMin(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
 
AMin() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
 
AMin(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
 
AMin(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
 
AMin(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
 
AMin(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.AMin
 
amin(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast absolute min op.
aminNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
aminNumber() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
aminNumber() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns absolute min value in this INDArray
amountOfEntries(int) - Method in class org.nd4j.jita.constant.ProtectedCudaConstantHandler
Method suited for debug purposes only
amplifier - Variable in class org.nd4j.rng.NativeRandom
 
AMSGrad - Class in org.nd4j.linalg.learning.config
The AMSGrad updater
Reference: On the Convergence of Adam and Beyond - https://openreview.net/forum?id=ryQu7f-RZ
AMSGrad() - Constructor for class org.nd4j.linalg.learning.config.AMSGrad
 
AMSGrad(double) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad
 
AMSGrad(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad
 
AMSGrad(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.AMSGrad
 
AMSGrad.Builder - Class in org.nd4j.linalg.learning.config
 
AMSGradUpdater - Class in org.nd4j.linalg.learning
The AMSGrad updater
Reference: On the Convergence of Adam and Beyond - https://openreview.net/forum?id=ryQu7f-RZ
AMSGradUpdater(AMSGrad) - Constructor for class org.nd4j.linalg.learning.AMSGradUpdater
 
Analysis - Class in org.ansj.splitWord
基本分词+人名识别
Analysis() - Constructor for class org.ansj.splitWord.Analysis
 
Analysis.Merger - Class in org.ansj.splitWord
 
AnalysisAddFunction - Class in org.datavec.local.transforms.analysis.aggregate
Add function used for undertaking analysis of a data set via Spark
AnalysisAddFunction() - Constructor for class org.datavec.local.transforms.analysis.aggregate.AnalysisAddFunction
 
AnalysisAddFunction - Class in org.datavec.spark.transform.analysis.aggregate
Add function used for undertaking analysis of a data set via Spark
AnalysisAddFunction() - Constructor for class org.datavec.spark.transform.analysis.aggregate.AnalysisAddFunction
 
AnalysisCombineFunction - Class in org.datavec.local.transforms.analysis.aggregate
Combine function used for undertaking analysis of a data set via Spark
AnalysisCombineFunction() - Constructor for class org.datavec.local.transforms.analysis.aggregate.AnalysisCombineFunction
 
AnalysisCombineFunction - Class in org.datavec.spark.transform.analysis.aggregate
Combine function used for undertaking analysis of a data set via Spark
AnalysisCombineFunction() - Constructor for class org.datavec.spark.transform.analysis.aggregate.AnalysisCombineFunction
 
AnalysisCounter<T extends AnalysisCounter> - Interface in org.datavec.api.transform.analysis
Created by Alex on 23/06/2016.
analyze(Schema, RecordReader) - Static method in class org.datavec.local.transforms.AnalyzeLocal
Analyse the specified data - returns a DataAnalysis object with summary information about each column
analyze(Schema, RecordReader, int) - Static method in class org.datavec.local.transforms.AnalyzeLocal
Analyse the specified data - returns a DataAnalysis object with summary information about each column
analyze(Schema, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Analyse the specified data - returns a DataAnalysis object with summary information about each column
analyze(Schema, JavaRDD<List<Writable>>, int) - Static method in class org.datavec.spark.transform.AnalyzeSpark
 
AnalyzeLocal - Class in org.datavec.local.transforms
 
AnalyzeLocal() - Constructor for class org.datavec.local.transforms.AnalyzeLocal
 
analyzeQuality(Schema, RecordReader) - Static method in class org.datavec.local.transforms.AnalyzeLocal
Analyze the data quality of data - provides a report on missing values, values that don't comply with schema, etc
analyzeQuality(Schema, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Analyze the data quality of data - provides a report on missing values, values that don't comply with schema, etc
analyzeQualitySequence(Schema, SequenceRecordReader) - Static method in class org.datavec.local.transforms.AnalyzeLocal
Analyze the data quality of sequence data - provides a report on missing values, values that don't comply with schema, etc
analyzeQualitySequence(Schema, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
Analyze the data quality of sequence data - provides a report on missing values, values that don't comply with schema, etc
analyzeSequence(Schema, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.transform.AnalyzeSpark
 
analyzeSequence(Schema, JavaRDD<List<List<Writable>>>, int) - Static method in class org.datavec.spark.transform.AnalyzeSpark
 
AnalyzeSpark - Class in org.datavec.spark.transform
AnalizeSpark: static methods for analyzing and processing RDD<List<Writable>> and RDD<List<List<Writable>>
AnalyzeSpark() - Constructor for class org.datavec.spark.transform.AnalyzeSpark
 
analyzeTokenInfo(InputStream) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
ancestor(int, Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns the ancestor of the given tree
AND(Condition...) - Static method in class org.datavec.api.transform.condition.BooleanCondition
And of all the given conditions
and(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
and(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Boolean AND operation: elementwise (x != 0) && (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
and(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Boolean AND operation: elementwise (x != 0) && (y != 0)
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
And - Class in org.nd4j.linalg.api.ops.impl.transforms
Boolean AND pairwise transform
And(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(SameDiff, SDVariable, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(SameDiff, SDVariable, int[], boolean, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(SameDiff, SDVariable, Object[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(INDArray, INDArray, INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
And(INDArray, INDArray, INDArray, Number, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.And
 
and(INDArray, Condition) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
And over the whole ndarray given some condition
and(INDArray, Condition, int...) - Static method in class org.nd4j.linalg.indexing.BooleanIndexing
And over the whole ndarray given some condition, with respect to dimensions
And - Class in org.nd4j.linalg.indexing.conditions
Created by agibsonccc on 10/9/14.
And(Condition...) - Constructor for class org.nd4j.linalg.indexing.conditions.And
 
and(Condition...) - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder
 
and(INDArray, INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
 
AndroidNativeImageLoader - Class in org.datavec.image.loader
Segregates functionality specific to Android that is not available on Java SE.
AndroidNativeImageLoader() - Constructor for class org.datavec.image.loader.AndroidNativeImageLoader
 
AndroidNativeImageLoader(int, int) - Constructor for class org.datavec.image.loader.AndroidNativeImageLoader
 
AndroidNativeImageLoader(int, int, int) - Constructor for class org.datavec.image.loader.AndroidNativeImageLoader
 
AndroidNativeImageLoader(int, int, int, boolean) - Constructor for class org.datavec.image.loader.AndroidNativeImageLoader
 
AndroidNativeImageLoader(int, int, int, ImageTransform) - Constructor for class org.datavec.image.loader.AndroidNativeImageLoader
 
AndroidNativeImageLoader(NativeImageLoader) - Constructor for class org.datavec.image.loader.AndroidNativeImageLoader
 
AnsjItem - Class in org.ansj.domain
 
AnsjItem() - Constructor for class org.ansj.domain.AnsjItem
 
AnsjReader - Class in org.ansj.util
我又剽窃了下jdk...职业嫖客 为了效率这个流的操作是不支持多线程的,要么就是长时间不写这种东西了。发现好费劲啊 这个reader的特点。。只会输入 句子不会输出\r\n .会有一个start来记录当前返回字符串。起始偏移量
AnsjReader(Reader, int) - Constructor for class org.ansj.util.AnsjReader
Creates a buffering character-input stream that uses an input buffer of the specified size.
AnsjReader(Reader) - Constructor for class org.ansj.util.AnsjReader
Creates a buffering character-input stream that uses a default-sized input buffer.
any(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
Any - Class in org.nd4j.linalg.api.ops.impl.accum
Boolean AND pairwise transform
Any(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Any