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D

d(int) - Method in class org.nd4j.graph.FlatProperties
 
dampingFactor - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
Darknet19 - Class in org.deeplearning4j.zoo.model
Darknet19 Reference: https://arxiv.org/pdf/1612.08242.pdf
DarknetHelper - Class in org.deeplearning4j.zoo.model.helper
Contains functionality shared by Darknet19, TinyYOLO, and YOLO2.
DarknetHelper() - Constructor for class org.deeplearning4j.zoo.model.helper.DarknetHelper
 
DarknetLabels - Class in org.deeplearning4j.zoo.util.darknet
Helper class that returns label descriptions for Darknet models trained with ImageNet.
DarknetLabels() - Constructor for class org.deeplearning4j.zoo.util.darknet.DarknetLabels
Calls this(true).
DarknetLabels(int) - Constructor for class org.deeplearning4j.zoo.util.darknet.DarknetLabels
 
DarknetLabels(boolean) - Constructor for class org.deeplearning4j.zoo.util.darknet.DarknetLabels
 
DarknetLabels(boolean, int) - Constructor for class org.deeplearning4j.zoo.util.darknet.DarknetLabels
 
dAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties
 
dasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
dasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
dasum(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
dasum(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
dasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
dasum(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Compute the sum of magnitude of the double vector elements
dasum(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
dasum(long, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
dasum(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
data(SparkContext) - Method in interface org.deeplearning4j.spark.data.DataSetProvider
Return an rdd of type dataset
data(SparkContext) - Method in interface org.deeplearning4j.spark.data.MultiDataSetProvider
Return an rdd of type dataset
data - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
data() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
data - Variable in class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
 
data() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
data() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
 
data() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns a linear double array representation of this ndarray
DATA_BUFFER_FACTORY_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
 
DATA_BUFFER_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
 
DATA_DIR - Static variable in class org.deeplearning4j.rl4j.util.Constants
 
DATA_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
DATA_HEADER - Static variable in class org.datavec.audio.WaveHeader
 
DATA_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
DATA_TYPE_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
DATA_URL - Static variable in class org.datavec.image.loader.LFWLoader
 
DataAction - Class in org.datavec.api.transform
A helper class used in TransformProcess to store the types of action to execute next.
DataAction() - Constructor for class org.datavec.api.transform.DataAction
 
DataAction(Transform) - Constructor for class org.datavec.api.transform.DataAction
 
DataAction(Filter) - Constructor for class org.datavec.api.transform.DataAction
 
DataAction(ConvertToSequence) - Constructor for class org.datavec.api.transform.DataAction
 
DataAction(ConvertFromSequence) - Constructor for class org.datavec.api.transform.DataAction
 
DataAction(SequenceSplit) - Constructor for class org.datavec.api.transform.DataAction
 
DataAction(IAssociativeReducer) - Constructor for class org.datavec.api.transform.DataAction
 
DataAction(CalculateSortedRank) - Constructor for class org.datavec.api.transform.DataAction
 
DataActionList(List<DataAction>) - Constructor for class org.datavec.api.transform.serde.ListWrappers.DataActionList
 
DataAnalysis - Class in org.datavec.api.transform.analysis
The DataAnalysis class represents analysis (summary statistics) for a data set.
DataAnalysis() - Constructor for class org.datavec.api.transform.analysis.DataAnalysis
 
DataBuffer - Interface in org.nd4j.linalg.api.buffer
A data buffer is an interface for handling storage and retrieval of data
DataBuffer.AllocationMode - Enum in org.nd4j.linalg.api.buffer
Mainly used for backward compatability.
DataBuffer.Type - Enum in org.nd4j.linalg.api.buffer
 
DataBuffer.TypeEx - Enum in org.nd4j.linalg.api.buffer
 
DATABUFFER_TO_STRING_MAX_ELEMENTS - Static variable in class org.nd4j.config.ND4JSystemProperties
Applicability: always
Description: Used to specify the maximum number of elements (numbers) to print when using DataBuffer.toString().
DataBufferFactory - Interface in org.nd4j.linalg.api.buffer.factory
DataBufferFactory: Creates the data buffer wrt a specified data opType
dataBufferFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
DataBufferFastCloner - Class in org.nd4j.autodiff.util.cloner
 
DataBufferFastCloner() - Constructor for class org.nd4j.autodiff.util.cloner.DataBufferFastCloner
 
DataBufferLogEntry - Class in org.nd4j.linalg.api.instrumentation
Data buffer log entry.
DataBufferLogEntry() - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
DataBufferLogEntry(DataBuffer, String) - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
DataBufferLogEntry(DataBuffer) - Constructor for class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
DataBufferStruct - Class in org.nd4j.arrow
 
DataBufferStruct(DataBuffer) - Constructor for class org.nd4j.arrow.DataBufferStruct
 
DataBufferStruct(ByteBuffer, int) - Constructor for class org.nd4j.arrow.DataBufferStruct
 
dataBufferToArray(DataBuffer) - Static method in class org.nd4j.linalg.cache.TadDescriptor
Obtain the values from the shape buffer for the array
DataCache() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache
 
DataCache(long) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache
 
DataCache(BaseCudnnHelper.DataCache) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache
 
dataFile - Variable in class org.datavec.image.loader.LFWLoader
 
dataFormat(Convolution3D.DataFormat) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
dataFormat - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
dataFormat(SpaceToDepthLayer.DataFormat) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
dataFormat - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
DataFrames - Class in org.datavec.spark.transform
Namespace for datavec dataframe interop
DataFrameToSequenceCreateCombiner - Class in org.datavec.spark.transform.sparkfunction.sequence
A create combiner function for use in DataFrames#toRecordsSequence(Dataset)
DataFrameToSequenceCreateCombiner() - Constructor for class org.datavec.spark.transform.sparkfunction.sequence.DataFrameToSequenceCreateCombiner
 
DataFrameToSequenceMergeCombiner - Class in org.datavec.spark.transform.sparkfunction.sequence
Combiner function for use in DataFrames#toRecordsSequence(Dataset)
DataFrameToSequenceMergeCombiner() - Constructor for class org.datavec.spark.transform.sparkfunction.sequence.DataFrameToSequenceMergeCombiner
 
DataFrameToSequenceMergeValue - Class in org.datavec.spark.transform.sparkfunction.sequence
Combiner function for use in DataFrames#toRecordsSequence(DataFrame)
DataFrameToSequenceMergeValue() - Constructor for class org.datavec.spark.transform.sparkfunction.sequence.DataFrameToSequenceMergeValue
 
DataInputBuffer - Class in org.datavec.api.io
A reusable DataInput implementation that reads from an in-memory buffer.
DataInputBuffer() - Constructor for class org.datavec.api.io.DataInputBuffer
Constructs a new empty buffer.
DataInputWrapperStream - Class in org.datavec.api.util.ndarray
A simple class to wrap a DataInput instance in an InputStream
DataInputWrapperStream() - Constructor for class org.datavec.api.util.ndarray.DataInputWrapperStream
 
dataManager - Variable in class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CThreadDiscrete
 
dataManager - Variable in class org.deeplearning4j.rl4j.learning.async.nstep.discrete.AsyncNStepQLearningThreadDiscrete
 
DataManager - Class in org.deeplearning4j.rl4j.util
 
DataManager() - Constructor for class org.deeplearning4j.rl4j.util.DataManager
 
DataManager(boolean) - Constructor for class org.deeplearning4j.rl4j.util.DataManager
 
DataManager(String, boolean) - Constructor for class org.deeplearning4j.rl4j.util.DataManager
 
DataManager.Info - Class in org.deeplearning4j.rl4j.util
 
DataManager.StatEntry - Interface in org.deeplearning4j.rl4j.util
 
DataNormalization - Interface in org.nd4j.linalg.dataset.api.preprocessor
An interface for data normalizers.
DataOutputBuffer - Class in org.datavec.api.io
A reusable DataOutput implementation that writes to an in-memory buffer.
DataOutputBuffer() - Constructor for class org.datavec.api.io.DataOutputBuffer
Constructs a new empty buffer.
DataOutputBuffer(int) - Constructor for class org.datavec.api.io.DataOutputBuffer
 
DataOutputWrapperStream - Class in org.datavec.api.util.ndarray
A simple class to wrap a DataOutput instance in an OutputStream
DataOutputWrapperStream() - Constructor for class org.datavec.api.util.ndarray.DataOutputWrapperStream
 
dataParameters - Variable in class org.deeplearning4j.arbiter.optimize.generator.BaseCandidateGenerator
 
DataPoint - Class in org.deeplearning4j.clustering.sptree
A vector with an index and function for distance
DataPoint(int, INDArray, boolean) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
 
DataPoint(int, INDArray, String, boolean) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
 
DataPoint(int, INDArray) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
 
DataPoint(int, INDArray, String) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
 
dataPointForNumpy(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
Used in NDArrayFactory.createFromNpyPointer(Pointer) to allow reuse of an in memory numpy buffer.
dataPointForNumpy(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
dataPointForNumpy(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
dataPointForNumpyHeader(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
dataPointForNumpyHeader(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
dataPointForNumpyHeader(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
dataPointForNumpyStruct(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
dataPointForNumpyStruct(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
dataPointForNumpyStruct(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
DataProvider - Interface in org.deeplearning4j.arbiter.optimize.api.data
Deprecated.
dataProvider(DataProvider) - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration.Builder
DataQualityAnalysis - Class in org.datavec.api.transform.quality
A report outlining number of invalid and missing features
DataQualityAnalysis() - Constructor for class org.datavec.api.transform.quality.DataQualityAnalysis
 
dataRows(DataFrame) - Static method in class org.datavec.spark.transform.DataRowsFacade
 
DataRowsFacade - Class in org.datavec.spark.transform
Dataframe facade to hide incompatibilities between Spark 1.x and Spark 2.x This class should be used instead of direct referral to DataFrame / Dataset
dataSet - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
 
DataSet - Interface in org.nd4j.linalg.dataset.api
Created by agibsonccc on 8/26/14.
DataSet - Class in org.nd4j.linalg.dataset
A data transform (example/outcome pairs) The outcomes are specifically for neural network encoding such that any labels that are considered true are 1s.
DataSet() - Constructor for class org.nd4j.linalg.dataset.DataSet
 
DataSet(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DataSet
Creates a dataset with the specified input matrix and labels
DataSet(INDArray, INDArray, INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.DataSet
Create a dataset with the specified input INDArray and labels (output) INDArray, plus (optionally) mask arrays for the features and labels
dataSetBatches(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Deprecated.
dataSetBatches(int) - Method in class org.nd4j.linalg.dataset.DataSet
Partitions the data transform by the specified number.
DataSetCache - Interface in org.nd4j.linalg.dataset.api.iterator.cache
Created by anton on 7/16/16.
DataSetCallback - Interface in org.deeplearning4j.datasets.iterator.callbacks
 
DataSetDeserializationCallback - Class in org.deeplearning4j.spark.parameterserver.callbacks
 
DataSetDeserializationCallback() - Constructor for class org.deeplearning4j.spark.parameterserver.callbacks.DataSetDeserializationCallback
 
DataSetDeserializer - Class in org.deeplearning4j.datasets.iterator.callbacks
This callback does DataSet deserialization of a given file.
DataSetDeserializer() - Constructor for class org.deeplearning4j.datasets.iterator.callbacks.DataSetDeserializer
 
DataSetExportFunction - Class in org.deeplearning4j.spark.data
A function (used in forEachPartition) to save DataSet objects to disk/HDFS.
DataSetExportFunction(URI) - Constructor for class org.deeplearning4j.spark.data.DataSetExportFunction
 
DataSetFetcher - Interface in org.deeplearning4j.datasets.iterator
Deprecated.
Retained for legacy purposes, will be removed in a future release
DataSetFetcher - Interface in org.nd4j.linalg.dataset.api.iterator.fetcher
A low level interface for loading datasets in to memory.
DataSetIterator - Interface in org.nd4j.linalg.dataset.api.iterator
A DataSetIterator handles traversing through a dataset and preparing

data for a neural network.

DataSetIteratorFactory - Interface in org.nd4j.linalg.dataset.api.iterator
DataSetIteratorFactoryProvider - Class in org.deeplearning4j.arbiter.data
This is a DataProvider for an DataSetIteratorFactory which based on a key of DataSetIteratorFactoryProvider.FACTORY_KEY will create DataSetIterator for use with arbiter.
DataSetIteratorFactoryProvider() - Constructor for class org.deeplearning4j.arbiter.data.DataSetIteratorFactoryProvider
 
DataSetIteratorFactoryProvider - Class in org.deeplearning4j.arbiter.optimize.api.data
This is a DataProvider for an DataSetIteratorFactory which based on a key of DataSetIteratorFactoryProvider.FACTORY_KEY will create DataSetIterator for use with arbiter.
DataSetIteratorFactoryProvider() - Constructor for class org.deeplearning4j.arbiter.optimize.api.data.DataSetIteratorFactoryProvider
 
DataSetIteratorProviderFactory - Interface in org.deeplearning4j.parallelism.main
Create a dataset iterator.
DataSetIteratorSplitter - Class in org.deeplearning4j.datasets.iterator
This iterator virtually splits given MultiDataSetIterator into Train and Test parts.
DataSetIteratorSplitter(DataSetIterator, long, double) - Constructor for class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
The only constructor
DataSetLoader - Interface in org.deeplearning4j.api.loader
An interface for loading DataSets from a Source
DataSetLoader - Class in org.deeplearning4j.aws.dataset
 
DataSetLoader() - Constructor for class org.deeplearning4j.aws.dataset.DataSetLoader
 
DataSetLoaderIterator - Class in org.deeplearning4j.datasets.iterator.loader
A DataSetLoader that loads DataSets from a path, using a Loader<DataSet> such as SerializedDataSetLoader.
DataSetLoaderIterator(Iterator<String>, Loader<DataSet>, SourceFactory) - Constructor for class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
NOTE: When using this constructor (with Iterator<String>) the DataSetIterator cannot be reset.
DataSetLoaderIterator(Collection<String>, Loader<DataSet>, SourceFactory) - Constructor for class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
Iterate of the specified collection of strings without randomization
DataSetLoaderIterator(Collection<String>, Random, Loader<DataSet>, SourceFactory) - Constructor for class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
Iterate of the specified collection of strings with optional randomization
DataSetLossCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Given a DataSetIterator: calculate the total loss for the model on that data set.
DataSetLossCalculator(DataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
Calculate the score (loss function value) on a given data set (usually a test set)
DataSetLossCalculator(MultiDataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
Calculate the score (loss function value) on a given data set (usually a test set)
DataSetLossCalculatorCG - Class in org.deeplearning4j.earlystopping.scorecalc
Deprecated.
Use DataSetLossCalculator instead for both MultiLayerNetwork and ComputationGraph
DataSetLossCalculatorCG(DataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
Deprecated.
Calculate the score (loss function value) on a given data set (usually a test set)
DataSetLossCalculatorCG(MultiDataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
Deprecated.
Calculate the score (loss function value) on a given data set (usually a test set)
dataSetMetaDataBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataBytesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
DataSetMetaDataBytesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
dataSetMetaDataBytesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
DataSetMetaDataBytesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
dataSetMetaDataBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassName() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassName(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataPresent() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
dataSetMetaDataPresent(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
dataSetName(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
dataSetName(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
dataSetObjectSizeExamples - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
DataSetOrdering - Class in org.deeplearning4j.spark.ordering
Orders by data set size.
DataSetOrdering() - Constructor for class org.deeplearning4j.spark.ordering.DataSetOrdering
 
dataSetPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Optional DataSetPreProcessor
DataSetPreProcessor - Interface in org.nd4j.linalg.dataset.api
Pre process a dataset
DataSetProvider - Interface in org.deeplearning4j.spark.data
A provider for an DataSet rdd.
dataSetStreams - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
DataSetToMultiDataSetFn - Class in org.deeplearning4j.spark.impl.graph.dataset
Convert a JavaRDD<DataSet> to a JavaRDD<MultiDataSet>
DataSetToMultiDataSetFn() - Constructor for class org.deeplearning4j.spark.impl.graph.dataset.DataSetToMultiDataSetFn
 
DataSetType - Enum in org.deeplearning4j.datasets.fetchers
Specify whether train, test, or validation.
DataSetUtil - Class in org.nd4j.linalg.dataset.api
Created by susaneraly on 9/20/16.
DataSetUtil() - Constructor for class org.nd4j.linalg.dataset.api.DataSetUtil
 
DataSetUtils - Class in org.nd4j.linalg.util
shows content of some classes
DataSetUtils(SIS, String) - Constructor for class org.nd4j.linalg.util.DataSetUtils
 
DataSource - Interface in org.deeplearning4j.arbiter.optimize.api.data
DataSource: defines where the data should come from for training and testing.
dataSource(Class<? extends DataSource>, Properties) - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration.Builder
DataSource: defines where the data should come from for training and testing.
dataSource - Variable in class org.nd4j.jdbc.loader.impl.BaseLoader
 
dataType - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
DataType - Class in org.nd4j.graph
 
dataType() - Method in class org.nd4j.graph.FlatNode
 
dataType() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
The data opType of the buffer
dataType() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
The data opType of the buffer
dataType - Variable in class org.nd4j.linalg.api.instrumentation.DataBufferLogEntry
 
dataType() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
dataType() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
dataType() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method returns dtype for this INDArray
dataType(long[]) - Static method in class org.nd4j.linalg.api.shape.options.ArrayOptionsHelper
 
dataType() - Static method in class org.nd4j.linalg.factory.Nd4j
Returns the data opType used for the runtime
dataType() - Method in class org.nd4j.linalg.jcublas.buffer.CudaFloatDataBuffer
 
dataType() - Method in class org.nd4j.linalg.jcublas.buffer.CudaHalfDataBuffer
 
dataType() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
return _dataType;
dataType() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
return _dataType;
dataType() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
return _dataType;
dataType() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
return _dataType;
dataType() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
return _dataType;
dataType() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
return _dataType;
DataType - Enum in org.tensorflow.framework
LINT.IfChange
DataType_BOOL - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_BOOL - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_DOUBLE - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_DOUBLE - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_FLOAT - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_FLOAT - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_FLOAT8 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_FLOAT8 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_HALF - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_HALF - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_HALF2 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_HALF2 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_INHERIT - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_INHERIT - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_INT16 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_INT16 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_INT32 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_INT32 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_INT64 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_INT64 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_INT8 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_INT8 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_QINT16 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_QINT16 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_QINT8 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_QINT8 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_UINT16 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_UINT16 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_UINT32 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_UINT32 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_UINT64 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_UINT64 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataType_UINT8 - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::DataType
DataType_UINT8 - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::DataType
DataTypeAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
 
DataTypeAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.DataTypeAdapter
 
dataTypeForTensor(TENSOR_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
 
dataTypeForTensor(OnnxProto3.TypeProto.Tensor) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
 
dataTypeForTensor(NodeDef) - Method in class org.nd4j.imports.graphmapper.tf.TFGraphMapper
 
dataTypeSize - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
DataTypeUtil - Class in org.nd4j.linalg.api.buffer.util
Manipulates the data opType for the nd4j context
DataTypeUtil() - Constructor for class org.nd4j.linalg.api.buffer.util.DataTypeUtil
 
DataTypeValidation - Class in org.nd4j.linalg.factory
Data opType validation
DataTypeValidation() - Constructor for class org.nd4j.linalg.factory.DataTypeValidation
 
DataVecAnalysisUtils - Class in org.datavec.api.transform.analysis
 
DataVecByteDataSetFunction - Class in org.deeplearning4j.spark.datavec
 
DataVecByteDataSetFunction(int, int, int, int) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
 
DataVecByteDataSetFunction(int, int, int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
 
DataVecByteDataSetFunction(int, int, int, int, boolean, DataSetPreProcessor) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
 
DataVecComponent - Class in org.datavec.camel.component
Represents the component that manages DataVecEndpoint.
DataVecComponent() - Constructor for class org.datavec.camel.component.DataVecComponent
 
DataVecComponent(CamelContext) - Constructor for class org.datavec.camel.component.DataVecComponent
 
DataVecConsumer - Class in org.datavec.camel.component
The DataVec consumer.
DataVecConsumer(DataVecEndpoint, Processor) - Constructor for class org.datavec.camel.component.DataVecConsumer
 
DataVecDataSetFunction - Class in org.deeplearning4j.spark.datavec
Map Collection<Writable> objects (out of a datavec-spark record reader function) to DataSet objects for Spark training.
DataVecDataSetFunction(int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
 
DataVecDataSetFunction(int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
 
DataVecDataSetFunction(int, int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
Main constructor, including for multi-label regression
DataVecEndpoint - Class in org.datavec.camel.component
Represents a DataVec endpoint.
DataVecEndpoint(String, DataVecComponent) - Constructor for class org.datavec.camel.component.DataVecEndpoint
 
DataVecEndpoint(String) - Constructor for class org.datavec.camel.component.DataVecEndpoint
 
DataVecException - Exception in org.datavec.api.exceptions
DataVec exception
DataVecException() - Constructor for exception org.datavec.api.exceptions.DataVecException
 
DataVecException(String) - Constructor for exception org.datavec.api.exceptions.DataVecException
 
DataVecException(String, Throwable) - Constructor for exception org.datavec.api.exceptions.DataVecException
 
DataVecException(Throwable) - Constructor for exception org.datavec.api.exceptions.DataVecException
 
DataVecException(String, Throwable, boolean, boolean) - Constructor for exception org.datavec.api.exceptions.DataVecException
 
DataVecMarshaller - Interface in org.datavec.camel.component
Marshals na exchange in to an input split
DataVecProducer - Class in org.datavec.camel.component
The DataVec producer.
DataVecProducer(DataVecEndpoint) - Constructor for class org.datavec.camel.component.DataVecProducer
 
DataVecRecord - Class in org.deeplearning4j.spark.datavec.iterator
 
DataVecRecord() - Constructor for class org.deeplearning4j.spark.datavec.iterator.DataVecRecord
 
DataVecRecords - Class in org.deeplearning4j.spark.datavec.iterator
 
DataVecRecords() - Constructor for class org.deeplearning4j.spark.datavec.iterator.DataVecRecords
 
DataVecSequenceDataSetFunction - Class in org.deeplearning4j.spark.datavec
Map Collection<Collection<Writable>> objects (out of a datavec-spark sequence record reader function) to DataSet objects for Spark training.
DataVecSequenceDataSetFunction(int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequenceDataSetFunction
 
DataVecSequenceDataSetFunction(int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequenceDataSetFunction
 
DataVecSequencePairDataSetFunction - Class in org.deeplearning4j.spark.datavec
Map Tuple2<Collection<Collection<Writable>>,Collection<Collection<Writable>> objects (out of a TWO datavec-spark sequence record reader functions) to DataSet objects for Spark training.
DataVecSequencePairDataSetFunction() - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
Constructor for equal length and no conversion of labels (i.e., regression or already in one-hot representation).
DataVecSequencePairDataSetFunction(int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
Constructor for equal length, no data set preprocessor or writable converter
DataVecSequencePairDataSetFunction(int, boolean, DataVecSequencePairDataSetFunction.AlignmentMode) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
Constructor for data with a specified alignment mode, no data set preprocessor or writable converter
DataVecSequencePairDataSetFunction(int, boolean, DataVecSequencePairDataSetFunction.AlignmentMode, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
 
DataVecSequencePairDataSetFunction.AlignmentMode - Enum in org.deeplearning4j.spark.datavec
Alignment mode for dealing with input/labels of differing lengths (for example, one-to-many and many-to-one type situations).
DataVecSparkUtil - Class in org.datavec.spark.util
Utilities for using DataVec with Spark
DataVecSparkUtil() - Constructor for class org.datavec.spark.util.DataVecSparkUtil
 
DataVecTransformClient - Class in org.datavec.spark.transform.client
Created by agibsonccc on 6/12/17.
DataVecTransformClient() - Constructor for class org.datavec.spark.transform.client.DataVecTransformClient
 
DataVecTransformService - Interface in org.datavec.spark.transform.service
Created by agibsonccc on 6/12/17.
DATDictionary - Class in org.ansj.library
 
DATDictionary() - Constructor for class org.ansj.library.DATDictionary
 
DateTimeFieldTypeDeserializer - Class in org.datavec.api.util.jackson
JsonDeserializer for deserializing Jodatime DateTimeFieldType instances
DateTimeFieldTypeDeserializer() - Constructor for class org.datavec.api.util.jackson.DateTimeFieldTypeDeserializer
 
DateTimeFieldTypeSerializer - Class in org.datavec.api.util.jackson
JsonSerializer for serializing Jodatime DateTimeFieldType instances
DateTimeFieldTypeSerializer() - Constructor for class org.datavec.api.util.jackson.DateTimeFieldTypeSerializer
 
daxpy(long, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
daxpy(long, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
daxpy(long, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
daxpy(long, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
daxpy(long, double, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
daxpy(long, double, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
daxpyi(long, double, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
daxpyi(long, double, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Adds a scalar multiple of double compressed sparse vector to a full-storage vector.
daxpyi(long, double, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
DBOW<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.sequence
 
DBOW() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
dbow(int, Sequence<T>, int, AtomicLong, double, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
DCOMPLEX_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
dcoomv(char, int, DataBuffer, DataBuffer, DataBuffer, int, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel2
 
dcoomv(char, int, DataBuffer, DataBuffer, DataBuffer, int, INDArray, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel2
 
dcoomv(char, int, DataBuffer, DataBuffer, DataBuffer, int, INDArray, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel2
 
dcopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
dcopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
dcopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
dcopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
dcopy(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
dcopy(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
ddot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
ddot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
ddot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
ddot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
ddot(long, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
ddot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
ddoti(long, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
ddoti(long, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Computes the dot product of a compressed sparse double vector by a full-storage real vector.
ddoti(long, INDArray, DataBuffer, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
DeadlyCorridor - Class in org.deeplearning4j.rl4j.mdp.vizdoom
 
DeadlyCorridor(boolean) - Constructor for class org.deeplearning4j.rl4j.mdp.vizdoom.DeadlyCorridor
 
deallocate() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext.Deallocator
 
deallocate() - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
deallocate(boolean) - Method in class org.nd4j.linalg.api.memory.pointers.PagedPointer
 
deallocator - Variable in class org.nd4j.rng.NativeRandom
 
DeallocatorThread(int, ReferenceQueue<NativePack>, Map<Long, GarbageStateReference>) - Constructor for class org.nd4j.rng.deallocator.NativeRandomDeallocator.DeallocatorThread
 
DeallocatorThreadNamePrefix - Static variable in class org.nd4j.rng.deallocator.NativeRandomDeallocator
Deprecated.
debug - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
debug - Variable in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
DebugAction - Class in org.nd4j.linalg.env.impl
 
DebugAction() - Constructor for class org.nd4j.linalg.env.impl.DebugAction
 
debugLattice(OutputStream, String) - Method in class com.atilika.kuromoji.TokenizerBase
Writes the Viterbi lattice for the provided text to an output stream
debugLongerIterations - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
debugLongerIterations - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
debugLongerIterations(long) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Deprecated.
debugLongerIterations - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
DebugMode - Enum in org.nd4j.linalg.api.memory.enums
This enum describes possible debug modes for Nd4j workspaces
debugMode - Variable in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
 
debugTokenize(OutputStream, String) - Method in class com.atilika.kuromoji.TokenizerBase
Tokenizes the provided text and outputs the corresponding Viterbi lattice and the Viterbi path to the provided output stream
decay - Variable in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
decay(double) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
decay(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
decay - Variable in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace
 
decay - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
decay(double) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
At test time: we can use a global estimate of the mean and variance, calculated using a moving average of the batch means/variances.
decay - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
declaresException(Method, Class<?>) - Static method in class org.nd4j.linalg.io.ReflectionUtils
 
decode(byte[]) - Static method in class org.datavec.api.writable.Text
Converts the provided byte array to a String using the UTF-8 encoding.
decode(byte[], int, int) - Static method in class org.datavec.api.writable.Text
 
decode(byte[], int, int, boolean) - Static method in class org.datavec.api.writable.Text
Converts the provided byte array to a String using the UTF-8 encoding.
decode(byte[]) - Method in interface org.deeplearning4j.api.storage.Persistable
Decode the content of the given byte array in to this persistable
decode(ByteBuffer) - Method in interface org.deeplearning4j.api.storage.Persistable
Decode from the given ByteBuffer
decode(InputStream) - Method in interface org.deeplearning4j.api.storage.Persistable
Decode from the given input stream
decode(byte[]) - Method in class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable
 
decode(ByteBuffer) - Method in class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable
 
decode(InputStream) - Method in class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable
 
decode(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
decode(DirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
decode(DirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
decode(DirectBuffer) - Method in interface org.deeplearning4j.ui.storage.AgronaPersistable
 
decode(byte[]) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
decode(InputStream) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
decode(byte[]) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
decode(DirectBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
decode(InputStream) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
decode(byte[]) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
decode(InputStream) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
decodeB64(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
 
decodeBitmapDouble(PointerPointer, Pointer, long, DoublePointer) - Method in class org.nd4j.nativeblas.NativeOps
 
decodeBitmapDouble(PointerPointer, Pointer, long, DoublePointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapDouble(PointerPointer, Pointer, long, DoubleBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapDouble(PointerPointer, Pointer, long, double[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapDouble(PointerPointer, Pointer, long, DoublePointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeBitmapDouble(PointerPointer, Pointer, long, DoubleBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeBitmapDouble(PointerPointer, Pointer, long, double[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeBitmapFloat(PointerPointer, Pointer, long, FloatPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
decodeBitmapFloat(PointerPointer, Pointer, long, FloatPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapFloat(PointerPointer, Pointer, long, FloatBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapFloat(PointerPointer, Pointer, long, float[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapFloat(PointerPointer, Pointer, long, FloatPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeBitmapFloat(PointerPointer, Pointer, long, FloatBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeBitmapFloat(PointerPointer, Pointer, long, float[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeBitmapHalf(PointerPointer, Pointer, long, ShortPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
decodeBitmapHalf(PointerPointer, Pointer, long, ShortPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapHalf(PointerPointer, Pointer, long, ShortBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapHalf(PointerPointer, Pointer, long, short[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeBitmapHalf(PointerPointer, Pointer, long, ShortPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeBitmapHalf(PointerPointer, Pointer, long, ShortBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeBitmapHalf(PointerPointer, Pointer, long, short[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodePredictions(INDArray, int) - Method in class org.deeplearning4j.zoo.util.BaseLabels
 
decodePredictions(INDArray) - Method in class org.deeplearning4j.zoo.util.imagenet.ImageNetLabels
Given predictions from the trained model this method will return a string listing the top five matches and the respective probabilities
decodePredictions(INDArray, int) - Method in interface org.deeplearning4j.zoo.util.Labels
Given predictions from the trained model this method will return a list of the top n matches and the respective probabilities.
DECODER_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
decoderLayerSizes(int...) - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
decoderLayerSizes(ParameterSpace<int[]>) - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
decoderLayerSizes(int...) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Size of the decoder layers, in units.
decoderLayerSizes - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
decodeThresholdDouble(PointerPointer, Pointer, long, DoublePointer) - Method in class org.nd4j.nativeblas.NativeOps
 
decodeThresholdDouble(PointerPointer, Pointer, long, DoublePointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdDouble(PointerPointer, Pointer, long, DoubleBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdDouble(PointerPointer, Pointer, long, double[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdDouble(PointerPointer, Pointer, long, DoublePointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeThresholdDouble(PointerPointer, Pointer, long, DoubleBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeThresholdDouble(PointerPointer, Pointer, long, double[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeThresholdFloat(PointerPointer, Pointer, long, FloatPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
decodeThresholdFloat(PointerPointer, Pointer, long, FloatPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdFloat(PointerPointer, Pointer, long, FloatBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdFloat(PointerPointer, Pointer, long, float[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdFloat(PointerPointer, Pointer, long, FloatPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeThresholdFloat(PointerPointer, Pointer, long, FloatBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeThresholdFloat(PointerPointer, Pointer, long, float[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeThresholdHalf(PointerPointer, Pointer, long, ShortPointer) - Method in class org.nd4j.nativeblas.NativeOps
 
decodeThresholdHalf(PointerPointer, Pointer, long, ShortPointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdHalf(PointerPointer, Pointer, long, ShortBuffer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdHalf(PointerPointer, Pointer, long, short[]) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
decodeThresholdHalf(PointerPointer, Pointer, long, ShortPointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeThresholdHalf(PointerPointer, Pointer, long, ShortBuffer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeThresholdHalf(PointerPointer, Pointer, long, short[]) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
decodeUpdates(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
Deprecated.
decodeVIntSize(byte) - Static method in class org.datavec.api.io.WritableUtils
Parse the first byte of a vint/vlong to determine the number of bytes
decompress(INDArray) - Method in class org.nd4j.compression.impl.AbstractCompressor
 
decompress(DataBuffer) - Method in class org.nd4j.compression.impl.AbstractCompressor
 
decompress(DataBuffer) - Method in class org.nd4j.compression.impl.Float16
 
decompress(DataBuffer) - Method in class org.nd4j.compression.impl.Float8
 
decompress(DataBuffer) - Method in class org.nd4j.compression.impl.Gzip
 
decompress(DataBuffer) - Method in class org.nd4j.compression.impl.Int16
 
decompress(DataBuffer) - Method in class org.nd4j.compression.impl.Int8
 
decompress(DataBuffer) - Method in class org.nd4j.compression.impl.NoOp
 
decompress(DataBuffer) - Method in class org.nd4j.compression.impl.Uint8
 
decompress(DataBuffer) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
Decompress the given databuffer
decompress(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
 
decompress(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
This method returns decompressed copy of referenced array
decompress(DataBuffer) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
Return a compressed databuffer
decompress(DataBuffer) - Method in class org.nd4j.linalg.cpu.nativecpu.compression.CpuThreshold
 
decompress(DataBuffer) - Method in class org.nd4j.linalg.jcublas.compression.CudaThreshold
 
decompressi(INDArray) - Method in class org.nd4j.compression.impl.AbstractCompressor
 
decompressi(INDArray) - Method in class org.nd4j.linalg.compression.BasicNDArrayCompressor
in place decompression of the given ndarray.
decompressi(INDArray) - Method in interface org.nd4j.linalg.compression.NDArrayCompressor
Inplace decompression of INDArray
deconv2d(SDVariable[], DeConv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Deconv2d operation.
deconv2d(SDVariable, SDVariable, DeConv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D deconvolution operation without bias
deconv2d(SDVariable, SDVariable, SDVariable, DeConv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D deconvolution operation with optional bias
deconv2d(SDVariable[], DeConv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D deconvolution operation with or without optional bias
deconv2d(String, SDVariable[], DeConv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D deconvolution operation with or without optional bias
DeConv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
DeConv2D operation
DeConv2D(SameDiff, SDVariable[], INDArray[], INDArray[], DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
 
DeConv2DConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
 
DeConv2DConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.DeConv2DConfig
 
DeConv2DDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
DeConv2DDerivative operation
DeConv2DDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative
 
DeConv2DDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative
 
DeConv2DTF - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
DeConv2D operation, TF-wrapper
DeConv2DTF(SameDiff, SDVariable[], INDArray[], INDArray[], DeConv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
 
Deconvolution2D - Class in org.deeplearning4j.nn.conf.layers
2D deconvolution layer configuration Deconvolutions are also known as transpose convolutions or fractionally strided convolutions.
Deconvolution2D(ConvolutionLayer.BaseConvBuilder<?>) - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D
Deconvolution2D layer nIn in the input layer is the number of channels nOut is the number of filters to be used in the net or in other words the channels The builder specifies the filter/kernel size, the stride and padding The pooling layer takes the kernel size
Deconvolution2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Deconvolution2DLayer - Class in org.deeplearning4j.nn.layers.convolution
2D deconvolution layer implementation.
Deconvolution2DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
Deconvolution2DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
Deconvolution2DLayerSpace - Class in org.deeplearning4j.arbiter.layers
 
Deconvolution2DLayerSpace(Deconvolution2DLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.Deconvolution2DLayerSpace
 
Deconvolution2DLayerSpace.Builder - Class in org.deeplearning4j.arbiter.layers
 
DeconvolutionParamInitializer - Class in org.deeplearning4j.nn.params
 
DeconvolutionParamInitializer() - Constructor for class org.deeplearning4j.nn.params.DeconvolutionParamInitializer
 
DecoratorAccordion - Class in org.deeplearning4j.ui.components.decorator
Accordion decorator component: i.e., create an accordion (i.e., collapseable componenet) with multiple sub-components internally Current implementation supports only one accordion section
DecoratorAccordion() - Constructor for class org.deeplearning4j.ui.components.decorator.DecoratorAccordion
 
DecoratorAccordion.Builder - Class in org.deeplearning4j.ui.components.decorator
 
DecreasingComparator() - Constructor for class org.datavec.api.writable.LongWritable.DecreasingComparator
 
DeepLearningException - Exception in org.deeplearning4j.exception
 
DeepLearningException() - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepLearningException(String, Throwable, boolean, boolean) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepLearningException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepLearningException(String) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepLearningException(Throwable) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepWalk<V,E> - Class in org.deeplearning4j.graph.models.deepwalk
Implementation of the DeepWalk graph vectorization model, based on the paper DeepWalk: Online Learning of Social Representations by Perozzi, Al-Rfou & Skiena (2014), http://arxiv.org/abs/1403.6652
Similar to word2vec in nature, DeepWalk is an unsupervised learning algorithm that learns a vector representation of each vertex in a graph.
DeepWalk() - Constructor for class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
DeepWalk.Builder<V,E> - Class in org.deeplearning4j.graph.models.deepwalk
 
DEFAULT - Static variable in class org.ansj.library.AmbiguityLibrary
 
DEFAULT - Static variable in class org.ansj.library.CrfLibrary
 
DEFAULT - Static variable in class org.ansj.library.DicLibrary
 
DEFAULT - Static variable in class org.ansj.library.StopLibrary
 
DEFAULT - Static variable in class org.ansj.library.SynonymsLibrary
 
DEFAULT_ADADELTA_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaDelta
 
DEFAULT_ADADELTA_RHO - Static variable in class org.nd4j.linalg.learning.config.AdaDelta
 
DEFAULT_ADAGRAD_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaGrad
 
DEFAULT_ADAGRAD_EPSILON - Static variable in class org.nd4j.linalg.learning.legacy.AdaGrad
 
DEFAULT_ADAGRAD_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AdaGrad
 
DEFAULT_ADAM_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.Adam
 
DEFAULT_ADAM_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.Adam
 
DEFAULT_ADAM_EPSILON - Static variable in class org.nd4j.linalg.learning.config.Adam
 
DEFAULT_ADAM_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Adam
 
DEFAULT_ADAMAX_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.AdaMax
 
DEFAULT_ADAMAX_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.AdaMax
 
DEFAULT_ADAMAX_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AdaMax
 
DEFAULT_ADAMAX_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AdaMax
 
DEFAULT_ALPHA - Static variable in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.activations.impl.ActivationELU
 
DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.activations.impl.ActivationLReLU
 
DEFAULT_ALPHA - Static variable in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
DEFAULT_AMI - Static variable in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
DEFAULT_AMSGRAD_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.AMSGrad
 
DEFAULT_AMSGRAD_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.AMSGrad
 
DEFAULT_AMSGRAD_EPSILON - Static variable in class org.nd4j.linalg.learning.config.AMSGrad
 
DEFAULT_AMSGRAD_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.AMSGrad
 
DEFAULT_BASE_RETR_DELAY_MS - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Base delay for retries
DEFAULT_BATCH_LIMIT - Static variable in class org.deeplearning4j.parallelism.ParallelInference
 
DEFAULT_BETA - Static variable in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
 
DEFAULT_BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.data.loader.RemoteFileSource
 
DEFAULT_CHARSET - Static variable in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
DEFAULT_CHARSET - Static variable in class org.datavec.api.records.writer.impl.FileRecordWriter
 
DEFAULT_CHART_MARGIN_BOTTOM - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
DEFAULT_CHART_MARGIN_LEFT - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
DEFAULT_CHART_MARGIN_RIGHT - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
DEFAULT_CHART_MARGIN_TOP - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
DEFAULT_CLIPPING_EPSILON - Static variable in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
 
DEFAULT_COLUMN_NAME - Static variable in class org.datavec.api.transform.reduce.geo.CoordinatesReduction
 
DEFAULT_DELIMITER - Static variable in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
DEFAULT_DELIMITER - Static variable in class org.datavec.api.records.writer.impl.csv.CSVRecordWriter
 
DEFAULT_DELIMITER - Static variable in class org.datavec.api.transform.reduce.geo.CoordinatesReduction
 
DEFAULT_DELIMITER - Static variable in class org.datavec.api.transform.transform.geo.CoordinatesDistanceTransform
 
DEFAULT_DELIMITER - Static variable in class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
DEFAULT_DELIMITER - Static variable in class org.datavec.local.transforms.misc.SequenceWritablesToStringFunction
 
DEFAULT_DELIMITER - Static variable in class org.datavec.spark.transform.misc.SequenceWritablesToStringFunction
 
DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
DEFAULT_EDGE_VALUE - Static variable in class org.deeplearning4j.eval.Evaluation
 
DEFAULT_EDGE_VALUE - Static variable in class org.deeplearning4j.eval.EvaluationBinary
 
DEFAULT_EPS - Static variable in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
DEFAULT_EPSILON - Static variable in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
DEFAULT_ERROR_HANDLING - Static variable in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
DEFAULT_ESCAPE_CHARACTER - Static variable in class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
The default escape character to use if none is supplied to the constructor.
DEFAULT_EVAL_SCORE_BATCH_SIZE - Static variable in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
DEFAULT_EVAL_SCORE_BATCH_SIZE - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
DEFAULT_EVAL_WORKERS - Static variable in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
DEFAULT_EVAL_WORKERS - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
DEFAULT_FILE_TYPE - Static variable in class org.datavec.poi.excel.ExcelRecordWriter
 
DEFAULT_FILENAME_PATTERN - Static variable in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
DEFAULT_FLATTENING_ORDER - Static variable in class org.deeplearning4j.nn.gradient.DefaultGradient
 
DEFAULT_FORMAT_PREC - Static variable in class org.deeplearning4j.eval.curves.BaseCurve
 
DEFAULT_FREQ - Static variable in class org.ansj.library.DicLibrary
 
DEFAULT_FREQ_STR - Static variable in class org.ansj.library.DicLibrary
 
DEFAULT_GRAPH_INPUT_TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
DEFAULT_GRAPH_OUTPUT_TENSOR_SHAPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
DEFAULT_HISTOGRAM_BUCKETS - Static variable in class org.datavec.spark.transform.AnalyzeSpark
 
DEFAULT_HISTOGRAM_NUM_BINS - Static variable in class org.deeplearning4j.eval.EvaluationCalibration
 
DEFAULT_ID - Static variable in interface org.nd4j.linalg.api.memory.MemoryWorkspace
 
DEFAULT_IGNORE_LEADING_WHITESPACE - Static variable in class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
The default leading whitespace behavior to use if none is supplied to the constructor
DEFAULT_INDEX_INTERVAL - Static variable in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
DEFAULT_INFERENCE_MODE - Static variable in class org.deeplearning4j.parallelism.ParallelInference
 
DEFAULT_INTEGER_REALLOCATION_BLOCK_SIZE_BYTES - Static variable in class org.nd4j.linalg.collection.CompactHeapStringList
 
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
Default inverse cumulative probability accuracy.
DEFAULT_L - Static variable in class org.nd4j.linalg.activations.impl.ActivationRReLU
 
DEFAULT_LAMBDA - Static variable in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
DEFAULT_LANGUAGE - Static variable in class org.deeplearning4j.ui.i18n.DefaultI18N
 
DEFAULT_MAP_FILE_INTERVAL - Static variable in class org.datavec.spark.storage.SparkStorageUtils
By default, a map file's index stores only a fraction of the keys.
DEFAULT_MAP_FILE_SPLIT_SIZE - Static variable in class org.datavec.hadoop.records.writer.mapfile.AbstractMapFileWriter
 
DEFAULT_MAX_CHART_POINTS - Static variable in class org.deeplearning4j.ui.module.train.TrainModule
 
DEFAULT_MAX_CONCURRENT_TASKS - Static variable in class org.deeplearning4j.arbiter.optimize.runner.LocalOptimizationRunner
 
DEFAULT_MAX_PARTITIONS - Static variable in class org.deeplearning4j.spark.impl.repartitioner.DefaultRepartitioner
 
DEFAULT_MAX_PRINT_ELEMENTS - Static variable in class org.nd4j.linalg.string.NDArrayStrings
The default number of elements for printing INDArrays (via NDArrayStrings or INDArray.toString)
DEFAULT_MAX_RETRIES - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Default maximum number of (consecutive) retries on failure
DEFAULT_MAX_TIMELINE_SIZE_MS - Static variable in class org.deeplearning4j.spark.stats.StatsUtils
 
DEFAULT_MISSING_VALUE - Static variable in class org.datavec.api.records.reader.impl.jackson.FieldSelection
 
DEFAULT_NADAM_BETA1_MEAN_DECAY - Static variable in class org.nd4j.linalg.learning.config.Nadam
 
DEFAULT_NADAM_BETA2_VAR_DECAY - Static variable in class org.nd4j.linalg.learning.config.Nadam
 
DEFAULT_NADAM_EPSILON - Static variable in class org.nd4j.linalg.learning.config.Nadam
 
DEFAULT_NADAM_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Nadam
 
DEFAULT_NATURE - Static variable in class org.ansj.library.DicLibrary
 
DEFAULT_NESTEROV_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.Nesterovs
 
DEFAULT_NESTEROV_MOMENTUM - Static variable in class org.nd4j.linalg.learning.config.Nesterovs
 
DEFAULT_NTP_SERVER - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
DEFAULT_NTP_TIMEOUT_MS - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
DEFAULT_NUM_WORKERS - Static variable in class org.deeplearning4j.parallelism.ParallelInference
 
DEFAULT_PATH - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Default path for posting data to the UI - i.e., http://localhost:9000/remoteReceive or similar
DEFAULT_PATTERN - Static variable in class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
DEFAULT_PATTERN - Static variable in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
DEFAULT_PRECISION - Static variable in class org.deeplearning4j.eval.EvaluationBinary
 
DEFAULT_PRECISION - Static variable in class org.deeplearning4j.eval.RegressionEvaluation
 
DEFAULT_PRINT_FORMAT - Static variable in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Default formatter used for SparkTrainingStats.statsAsString()
DEFAULT_PRIOR_BOXES - Static variable in class org.deeplearning4j.zoo.model.YOLO2
Default prior boxes for the model
DEFAULT_QUEUE_LIMIT - Static variable in class org.deeplearning4j.parallelism.ParallelInference
 
DEFAULT_QUOTE - Static variable in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
DEFAULT_QUOTE_CHARACTER - Static variable in class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
The default quote character to use if none is supplied to the constructor.
DEFAULT_RATE - Static variable in class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
 
DEFAULT_REALLOCATION_BLOCK_SIZE_BYTES - Static variable in class org.nd4j.linalg.collection.CompactHeapStringList
 
DEFAULT_RECORDS_PER_FILE - Static variable in class org.datavec.api.split.partition.NumberOfRecordsPartitioner
 
DEFAULT_RELIABILITY_DIAG_NUM_BINS - Static variable in class org.deeplearning4j.eval.EvaluationCalibration
 
DEFAULT_REPORTING_FREQUENCY - Static variable in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
DEFAULT_RESHAPE_ORDER - Static variable in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
DEFAULT_RETRY_BACKOFF_FACTOR - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Default backoff multiplicative factor for retrying
DEFAULT_RMSPROP_EPSILON - Static variable in class org.nd4j.linalg.learning.config.RmsProp
 
DEFAULT_RMSPROP_LEARNING_RATE - Static variable in class org.nd4j.linalg.learning.config.RmsProp
 
DEFAULT_RMSPROP_RMSDECAY - Static variable in class org.nd4j.linalg.learning.config.RmsProp
 
DEFAULT_ROC_THRESHOLD_STEPS - Static variable in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
DEFAULT_ROC_THRESHOLD_STEPS - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
DEFAULT_SEPARATOR - Static variable in class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
The default separator to use if none is supplied to the constructor.
DEFAULT_SEQUENCE_CONDITION_MODE - Static variable in interface org.datavec.api.transform.condition.column.ColumnCondition
 
DEFAULT_SGD_LR - Static variable in class org.nd4j.linalg.learning.config.Sgd
 
DEFAULT_SHUFFLE - Static variable in class org.datavec.image.loader.CifarLoader
 
DEFAULT_STATS_PRECISION - Static variable in class org.deeplearning4j.eval.ROCBinary
 
DEFAULT_STATS_PRECISION - Static variable in class org.deeplearning4j.eval.ROCMultiClass
 
DEFAULT_STRICT_QUOTES - Static variable in class org.datavec.api.records.reader.impl.csv.SerializableCSVParser
The default strict quote behavior to use if none is supplied to the constructor
DEFAULT_THETA - Static variable in class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU
 
DEFAULT_TIME_STEP_DELIMITER - Static variable in class org.datavec.local.transforms.misc.SequenceWritablesToStringFunction
 
DEFAULT_TIME_STEP_DELIMITER - Static variable in class org.datavec.spark.transform.misc.SequenceWritablesToStringFunction
 
DEFAULT_TIMESOURCE_CLASS_NAME - Static variable in class org.deeplearning4j.spark.time.TimeSourceProvider
Default class to use when getting a TimeSource instance
DEFAULT_U - Static variable in class org.nd4j.linalg.activations.impl.ActivationRReLU
 
DEFAULT_UI_PORT - Static variable in class org.deeplearning4j.ui.play.PlayUIServer
 
DEFAULT_UNK - Static variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
DEFAULT_UPDATE_FREQUENCY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
DEFAULT_USE_SPECIAL_PREPROC - Static variable in class org.datavec.image.loader.CifarLoader
 
DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Attr
 
DEFAULT_VALUE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef
 
DEFAULT_VISIBILITY_VALUE - Static variable in enum org.tensorflow.framework.ApiDef.Visibility
Normally this is "VISIBLE" unless you are inheriting a different value from another ApiDef.
DEFAULT_WEIGHT_INIT_ORDER - Static variable in class org.deeplearning4j.nn.weights.WeightInitUtil
Default order for the arrays created by WeightInitUtil.
DEFAULT_WORKSHEET_NAME - Static variable in class org.datavec.poi.excel.ExcelRecordWriter
 
defaultAnalysisEngine() - Static method in class org.datavec.nlp.tokenization.tokenizer.PosUimaTokenizer
 
defaultAnalysisEngine() - Static method in class org.datavec.nlp.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
defaultAnalysisEngine() - Static method in class org.datavec.nlp.tokenization.tokenizerfactory.UimaTokenizerFactory
Creates a tokenization,/stemming pipeline
defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
Creates a tokenization,/stemming pipeline
DefaultCallback - Class in org.deeplearning4j.datasets.iterator.callbacks
This callback ensures that memory on device is up-to-date with host memory.
DefaultCallback() - Constructor for class org.deeplearning4j.datasets.iterator.callbacks.DefaultCallback
 
defaultCompression - Variable in class org.nd4j.linalg.compression.BasicNDArrayCompressor
 
defaultConfiguration - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
defaultConfiguration - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
defaultConfiguration - Variable in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
 
DefaultConvolutionInstance - Class in org.nd4j.linalg.convolution
Default convolution instance (FFT based)
DefaultConvolutionInstance() - Constructor for class org.nd4j.linalg.convolution.DefaultConvolutionInstance
 
DefaultDataBufferFactory - Class in org.nd4j.linalg.api.buffer.factory
Normal data buffer creation
DefaultDataBufferFactory() - Constructor for class org.nd4j.linalg.api.buffer.factory.DefaultDataBufferFactory
 
defaultDeserializer - Variable in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
defaultDeviceForThread() - Static method in class org.nd4j.tensorflow.conversion.TensorflowConversion
Infers the device for the given thread based on the Nd4j.getAffinityManager() Usually, this will either be a gpu or cpu reserved for the current device.
DefaultDistributionFactory - Class in org.nd4j.linalg.api.rng.distribution.factory
Default distribution factory
DefaultDistributionFactory() - Constructor for class org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory
 
DefaultGradient - Class in org.deeplearning4j.nn.gradient
Default gradient implementation.
DefaultGradient() - Constructor for class org.deeplearning4j.nn.gradient.DefaultGradient
 
DefaultGradient(INDArray) - Constructor for class org.deeplearning4j.nn.gradient.DefaultGradient
 
DefaultI18N - Class in org.deeplearning4j.ui.i18n
Default internationalization implementation.
Content for internationalization is implemented using resource files.
For the resource files: they should be specified as follows:
1.
defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
defaultIncludeInPlots(String) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
When plotting statistics, we don't necessarily want to plot everything.
defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
DefaultInputStreamCreator - Class in org.deeplearning4j.bagofwords.vectorizer
Created by agibsonccc on 10/20/14.
DefaultInputStreamCreator(DocumentIterator) - Constructor for class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator
 
defaultIterationCount - Static variable in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
DefaultModule - Class in org.deeplearning4j.ui.module.defaultModule
Landing page - i.e., "/" route
DefaultModule() - Constructor for class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
defaultNoWorkspace() - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
Set the default to be scoped out for all array types.
DefaultOpConverter - Class in org.nd4j.linalg.api.ops
 
DefaultOpConverter() - Constructor for class org.nd4j.linalg.api.ops.DefaultOpConverter
 
DefaultOpExecutioner - Class in org.nd4j.linalg.api.ops.executioner
Basic op executioner.
DefaultOpExecutioner() - Constructor for class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
DefaultOpFactory - Class in org.nd4j.linalg.api.ops.factory
Default operations factory
DefaultOpFactory() - Constructor for class org.nd4j.linalg.api.ops.factory.DefaultOpFactory
 
defaultOutputColumnName(String, int, ReduceOp) - Static method in class org.datavec.api.transform.transform.sequence.SequenceMovingWindowReduceTransform
 
DefaultParamInitializer - Class in org.deeplearning4j.nn.params
Static weight initializer with just a weight matrix and a bias
DefaultParamInitializer() - Constructor for class org.deeplearning4j.nn.params.DefaultParamInitializer
 
DefaultRandom - Class in org.nd4j.linalg.api.rng
Apache commons based random number generation Please note: this implementation can't be used for NativeOps execution
DefaultRandom() - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom
Initialize with a System.currentTimeMillis() seed
DefaultRandom(long) - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom
 
DefaultRandom(RandomGenerator) - Constructor for class org.nd4j.linalg.api.rng.DefaultRandom
 
DefaultRepartitioner - Class in org.deeplearning4j.spark.impl.repartitioner
DefaultRepartitioner: Repartition data so that we exactly the minimum number of objects per partition, up to a specified maximum number of partitions partitions
DefaultRepartitioner() - Constructor for class org.deeplearning4j.spark.impl.repartitioner.DefaultRepartitioner
Create a DefaultRepartitioner with the default maximum number of partitions, DefaultRepartitioner.DEFAULT_MAX_PARTITIONS
DefaultRepartitioner(int) - Constructor for class org.deeplearning4j.spark.impl.repartitioner.DefaultRepartitioner
 
DefaultRetransmissionHandler - Class in org.nd4j.parameterserver.distributed.logic.retransmission
 
DefaultRetransmissionHandler() - Constructor for class org.nd4j.parameterserver.distributed.logic.retransmission.DefaultRetransmissionHandler
 
DefaultSameDiffConditional - Class in org.nd4j.autodiff.samediff.impl
 
DefaultSameDiffConditional() - Constructor for class org.nd4j.autodiff.samediff.impl.DefaultSameDiffConditional
 
DefaultStatsInitializationConfiguration - Class in org.deeplearning4j.ui.stats.impl
Created by Alex on 07/10/2016.
DefaultStatsInitializationConfiguration() - Constructor for class org.deeplearning4j.ui.stats.impl.DefaultStatsInitializationConfiguration
 
DefaultStatsUpdateConfiguration - Class in org.deeplearning4j.ui.stats.impl
Created by Alex on 07/10/2016.
DefaultStatsUpdateConfiguration.Builder - Class in org.deeplearning4j.ui.stats.impl
 
DefaultStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
Default step function
DefaultStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction
 
DefaultStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
Default step function
DefaultStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.DefaultStepFunction
 
DefaultStreamTokenizer - Class in org.datavec.nlp.tokenization.tokenizer
Tokenizer based on the StreamTokenizer
DefaultStreamTokenizer(InputStream) - Constructor for class org.datavec.nlp.tokenization.tokenizer.DefaultStreamTokenizer
 
DefaultStreamTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
Tokenizer based on the StreamTokenizer
DefaultStreamTokenizer(InputStream) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
 
defaultTaskCreatorFor(Class<? extends ParameterSpace>) - Static method in class org.deeplearning4j.arbiter.optimize.api.TaskCreatorProvider
 
DefaultTokenizer - Class in org.datavec.nlp.tokenization.tokenizer
Default tokenizer
DefaultTokenizer(String) - Constructor for class org.datavec.nlp.tokenization.tokenizer.DefaultTokenizer
 
DefaultTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
Default tokenizer
DefaultTokenizer(String) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
 
DefaultTokenizerFactory - Class in org.datavec.nlp.tokenization.tokenizerfactory
Default tokenizer based on string tokenizer or stream tokenizer
DefaultTokenizerFactory() - Constructor for class org.datavec.nlp.tokenization.tokenizerfactory.DefaultTokenizerFactory
 
DefaultTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
Default tokenizer based on string tokenizer or stream tokenizer
DefaultTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
 
DefaultTrainer - Class in org.deeplearning4j.parallelism.trainer
Trains datasets using a standard in memory parameter averaging technique.
DefaultTrainer() - Constructor for class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
DefaultTrainer.DefaultTrainerBuilder - Class in org.deeplearning4j.parallelism.trainer
 
DefaultTrainerBuilder() - Constructor for class org.deeplearning4j.parallelism.trainer.DefaultTrainer.DefaultTrainerBuilder
 
DefaultTrainerContext - Class in org.deeplearning4j.parallelism.factory
Creates DefaultTrainer instances for use with ParallelWrapper
DefaultTrainerContext() - Constructor for class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
 
defaultType - Variable in class org.datavec.api.transform.schema.InferredSchema
 
defaultVals - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
DefaultVocabCache - Class in org.datavec.nlp.metadata
Vocab cache used for storing information about vocab
DefaultVocabCache(int) - Constructor for class org.datavec.nlp.metadata.DefaultVocabCache
Instantiate with a given min word frequency
DefaultVocabCache() - Constructor for class org.datavec.nlp.metadata.DefaultVocabCache
 
defaultWorkspace(String, WorkspaceConfiguration) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
Set the default workspace for all array types to the specified workspace name/configuration NOTE: This will NOT override any settings previously set.
DEFERRED_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryLogRawDeallocation
 
define(Class, WritableComparator) - Static method in class org.datavec.api.io.WritableComparator
Register an optimized comparator for a WritableComparable implementation.
define(SameDiff, Map<String, INDArray>, SDVariable[]) - Method in interface org.nd4j.autodiff.samediff.SameDiffFunctionDefinition
 
definedFunctionNames() - Method in class org.nd4j.autodiff.samediff.SameDiff
The set of defined SameDiff function names.
defineFunction(String, SameDiffFunctionDefinition, SDVariable[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
defineFunction(String, SameDiffFunctionDefinition) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
defineFunction(String, SameDiffFunctionDefinition, Map<String, INDArray>) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
defineInputs(String...) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDVertexParams
Define the inputs to the DL4J SameDiff Vertex with specific names
defineInputs(int) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDVertexParams
Define the inputs to the DL4J SameDiff vertex with generated names.
defineLayer(SameDiff, SDVariable, Map<String, SDVariable>) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected1D
 
defineLayer(SameDiff, SDVariable, Map<String, SDVariable>) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected2D
 
defineLayer(SameDiff, SDVariable) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer
 
defineLayer(SameDiff, SDVariable, Map<String, SDVariable>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer
 
defineLayer(SameDiff, SDVariable, Map<String, SDVariable>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer
Define the layer
defineLayer(SameDiff, SDVariable, SDVariable, Map<String, SDVariable>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffOutputLayer
Define the output layer
defineParameters(SDLayerParams) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected1D
 
defineParameters(SDLayerParams) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected2D
 
defineParameters(SDLayerParams) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
Define the parameters for the network.
defineParameters(SDLayerParams) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer
 
defineParametersAndInputs(SDVertexParams) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex
 
defineParametersAndInputs(SDVertexParams) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
Define the parameters - and inputs - for the network.
defineReturn(int, int, Nd4jCpu.ArgumentsList) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleGraphState
This method adds return statement to specified scope PLEASE NOTE: should be used only in body scopes
defineReturn(int, int, Nd4jCpu.ArgumentsList) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatGraphState
This method adds return statement to specified scope PLEASE NOTE: should be used only in body scopes
defineReturn(int, int, Nd4jCpu.ArgumentsList) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfGraphState
This method adds return statement to specified scope PLEASE NOTE: should be used only in body scopes
defineReturn(int, int, Nd4jCuda.ArgumentsList) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleGraphState
This method adds return statement to specified scope PLEASE NOTE: should be used only in body scopes
defineReturn(int, int, Nd4jCuda.ArgumentsList) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatGraphState
This method adds return statement to specified scope PLEASE NOTE: should be used only in body scopes
defineReturn(int, int, Nd4jCuda.ArgumentsList) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfGraphState
This method adds return statement to specified scope PLEASE NOTE: should be used only in body scopes
defineVertex(SameDiff, SameDiffLambdaVertex.VertexInputs) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex
 
defineVertex(SameDiff, Map<String, SDVariable>, Map<String, SDVariable>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaVertex
 
defineVertex(SameDiff, Map<String, SDVariable>, Map<String, SDVariable>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
Define the vertex
DegenerateIntegerDistribution - Class in org.deeplearning4j.arbiter.optimize.distribution
Degenerate distribution: i.e., integer "distribution" that is just a fixed value
DegenerateIntegerDistribution(int) - Constructor for class org.deeplearning4j.arbiter.optimize.distribution.DegenerateIntegerDistribution
 
delete(String, String) - Static method in class org.ansj.library.DicLibrary
删除关键词
delete(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
 
delete(String) - Method in interface org.nd4j.jdbc.loader.api.JDBCNDArrayIO
Delete the given ndarray
delete(String) - Method in class org.nd4j.jdbc.loader.impl.BaseLoader
Delete the given ndarray
delete(String, String) - Static method in class org.nd4j.linalg.io.StringUtils
 
deleteAny(String, String) - Static method in class org.nd4j.linalg.io.StringUtils
 
deleteEvent(String) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
 
deleteEvent(BytePointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.GraphProfile
 
deleteEvent(String) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
 
deleteEvent(BytePointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.GraphProfile
 
deleteExisting(boolean) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
If the checkpoint listener is set to save to a non-empty directory, should the CheckpointListener-related content be deleted?
This is disabled by default (and instead, an exception will be thrown if existing data is found)
WARNING: Be careful when enabling this, as it deletes all saved checkpoint models in the specified directory!
deleteGraphStateDouble(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteGraphStateDouble(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteGraphStateDouble(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteGraphStateFloat(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteGraphStateFloat(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteGraphStateFloat(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteGraphStateHalf(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteGraphStateHalf(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteGraphStateHalf(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteIfEmpty(File) - Static method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
deleteIntArray(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteIntArray(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteIntArray(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteInvalidDataSets(JavaSparkContext, String) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate DataSet objects - and delete any invalid DataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteInvalidDataSets(JavaSparkContext, String, int[], int[]) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate DataSet objects - and delete any invalid DataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteInvalidMultiDataSets(JavaSparkContext, String) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects - and delete any invalid MultiDataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteInvalidMultiDataSets(JavaSparkContext, String, List<int[]>, List<int[]>) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects - and delete any invalid MultiDataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteInvalidMultiDataSets(JavaSparkContext, String, int, int) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects - and delete any invalid MultiDataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteLongArray(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteLongArray(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deletePointerArray(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deletePointerArray(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deletePointerArray(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteResultWrapper(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteResultWrapper(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteResultWrapper(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteShapeList(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteShapeList(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteShapeList(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteStatement() - Method in class org.nd4j.jdbc.hsql.HsqlLoader
Create an delete statement
deleteStatement() - Method in interface org.nd4j.jdbc.loader.api.JDBCNDArrayIO
Create an insert statement
deleteStatement() - Method in class org.nd4j.jdbc.mysql.MysqlLoader
Create an delete statement
deleteTempDir(JavaSparkContext, String) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
deleteTempFiles(JavaSparkContext) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Attempt to delete any temporary files generated by this TrainingMaster.
deleteTempFiles(SparkContext) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Attempt to delete any temporary files generated by this TrainingMaster.
deleteTempFiles(JavaSparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
deleteTempFiles(SparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
deleteVariablesSetDouble(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteVariablesSetDouble(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteVariablesSetDouble(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteVariablesSetFloat(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteVariablesSetFloat(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteVariablesSetFloat(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
deleteVariablesSetHalf(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
deleteVariablesSetHalf(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
deleteVariablesSetHalf(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
DelimitedEdgeLineProcessor - Class in org.deeplearning4j.graph.data.impl
A simple line processor, for data in the format 01\n 30\n etc.
DelimitedEdgeLineProcessor(String, boolean) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
 
DelimitedEdgeLineProcessor(String, boolean, String...) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
 
delimitedListToStringArray(String, String) - Static method in class org.nd4j.linalg.io.StringUtils
 
delimitedListToStringArray(String, String, String) - Static method in class org.nd4j.linalg.io.StringUtils
 
DelimitedVertexLoader - Class in org.deeplearning4j.graph.data.impl
Load vertex information, one per line of form "0Some text attribute/label"
DelimitedVertexLoader(String) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
 
DelimitedVertexLoader(String, String...) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
 
DELIMITER - Static variable in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
delimiter - Variable in class org.datavec.api.records.reader.impl.csv.CSVRegexRecordReader
 
delimiter - Variable in class org.datavec.api.transform.reduce.geo.CoordinatesReduction
 
delimiter - Variable in class org.datavec.api.transform.transform.geo.CoordinatesDistanceTransform
 
delimiter - Variable in class org.datavec.api.transform.transform.geo.IPAddressToLocationTransform
 
delimiter - Variable in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
deltaGCCount() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCCountId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCCountMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCTimeMs() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMs(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCTimeMsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCTimeMsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCTimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaTime() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTime(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
deltaTimeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
deltaTimeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
deltaTimeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
denseCounter - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
denseDifference(Function<INDArray, INDArray>, INDArray, INDArray, INDArray, INDArray) - Static method in class org.nd4j.finitedifferences.TwoPointApproximation
 
DenseLayer - Class in org.deeplearning4j.nn.conf.layers
Dense layer: fully connected feed forward layer trainable by backprop.
DenseLayer - Class in org.deeplearning4j.nn.layers.feedforward.dense
 
DenseLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
 
DenseLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
 
DenseLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
DenseLayerSpace - Class in org.deeplearning4j.arbiter.layers
layer hyperparameter configuration space for dense layers (i.e., multi-layer perceptron layers)
DenseLayerSpace.Builder - Class in org.deeplearning4j.arbiter.layers
 
density(double) - Method in class org.deeplearning4j.arbiter.optimize.distribution.LogUniformDistribution
 
density(double) - Method in interface org.nd4j.linalg.api.rng.distribution.Distribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
 
density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
DEPRECATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
DEPRECATION_VERSION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Endpoint
 
depth() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
The depth of the node
depth() - Method in class org.deeplearning4j.clustering.sptree.SpTree
The depth of the node
depth - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
depth - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
depth() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Finds the channels of the tree.
depth(Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns the distance between this node and the specified subnode
DEPTH_WISE_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
depthBuffer - Variable in class vizdoom.GameState
 
depthMultiplier(int) - Method in class org.deeplearning4j.arbiter.layers.SeparableConvolution2DLayerSpace.Builder
 
depthMultiplier(ParameterSpace<Integer>) - Method in class org.deeplearning4j.arbiter.layers.SeparableConvolution2DLayerSpace.Builder
 
depthMultiplier - Variable in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
depthMultiplier(int) - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
Set channels multiplier for depth-wise convolution
depthMultiplier - Variable in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
depthMultiplier(int) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
Set channels multiplier of channels-wise step in separable convolution
depthToSpace(SDVariable, int, String) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
depthToSpace(SDVariable, int, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Convolution 2d layer batch to space operation on 4d input.
Reduces input channels dimension by rearranging data into a larger spatial dimensions
Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] = [mb, 2, 4, 4]
depthToSpace(String, SDVariable, int, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Convolution 2d layer batch to space operation on 4d input.
Reduces input channels dimension by rearranging data into a larger spatial dimensions
Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] = [mb, 2, 4, 4]
DepthToSpace - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
Inverse operation to SpaceToDepth.
DepthToSpace() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
 
DepthToSpace(SameDiff, SDVariable[], int, String) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
 
DepthToSpace(INDArray, INDArray, int, String) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
 
depthWiseConv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Depth-wise Conv2d operation.
depthWiseConv2d(SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
Depth-wise 2D convolution operation without bias
depthWiseConv2d(SDVariable, SDVariable, SDVariable, Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
Depth-wise 2D convolution operation with optional bias
depthWiseConv2d(SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
Depth-wise convolution 2D operation.
depthWiseConv2d(String, SDVariable[], Conv2DConfig) - Method in class org.nd4j.autodiff.samediff.SameDiff
Depth-wise convolution 2D operation.
DepthwiseConv2D - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
Depthwise Conv2D operation
DepthwiseConv2D(SameDiff, SDVariable[], INDArray[], INDArray[], Conv2DConfig) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
DepthwiseConv2D() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
DepthwiseConvolution2D - Class in org.deeplearning4j.nn.conf.layers
2D depth-wise convolution layer configuration.
DepthwiseConvolution2D(DepthwiseConvolution2D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
 
DepthwiseConvolution2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
DepthwiseConvolution2DLayer - Class in org.deeplearning4j.nn.layers.convolution
2D depth-wise convolution layer configuration.
DepthwiseConvolution2DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
DepthwiseConvolution2DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
DepthwiseConvolutionParamInitializer - Class in org.deeplearning4j.nn.params
Initialize depth-wise convolution parameters.
DepthwiseConvolutionParamInitializer() - Constructor for class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
dequeueOp(OpDescriptor) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
 
deregisterStatsStorageListener(StatsStorageListener) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Remove the specified listener, if it is present.
deregisterStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
deregisterStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
deriveClusterInfoDistanceStatistics(ClusterInfo) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
DeriveColumnsFromTimeTransform - Class in org.datavec.api.transform.transform.time
Create a number of new columns by deriving their values from a Time column.
DeriveColumnsFromTimeTransform(String, String, DateTimeZone, List<DeriveColumnsFromTimeTransform.DerivedColumn>) - Constructor for class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform
 
DeriveColumnsFromTimeTransform.Builder - Class in org.datavec.api.transform.transform.time
 
DeriveColumnsFromTimeTransform.DerivedColumn - Class in org.datavec.api.transform.transform.time
 
DerivedColumn(String, ColumnType, String, DateTimeZone, DateTimeFieldType) - Constructor for class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform.DerivedColumn
 
derivedColumnMetaData(String, Schema) - Method in class org.datavec.api.transform.ndarray.NDArrayColumnsMathOpTransform
 
derivedColumnMetaData(String, Schema) - Method in class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
 
derivedColumnMetaData(String, Schema) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleColumnsMathOpTransform
 
derivedColumnMetaData(String, Schema) - Method in class org.datavec.api.transform.transform.floattransform.FloatColumnsMathOpTransform
 
derivedColumnMetaData(String, Schema) - Method in class org.datavec.api.transform.transform.geo.CoordinatesDistanceTransform
 
derivedColumnMetaData(String, Schema) - Method in class org.datavec.api.transform.transform.integer.IntegerColumnsMathOpTransform
 
derivedColumnMetaData(String, Schema) - Method in class org.datavec.api.transform.transform.longtransform.LongColumnsMathOpTransform
 
derivedId(long) - Method in class org.nd4j.linalg.heartbeat.Heartbeat
 
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Arg
 
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Attr
 
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
 
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef
 
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef
 
DESCRIPTION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
DESCRIPTION_PREFIX_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
 
DESCRIPTION_SUFFIX_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef
 
deserialize(T) - Method in interface org.datavec.api.io.serializers.Deserializer
Deserialize the next object from the underlying input stream.
deserialize(JsonParser, DeserializationContext) - Method in class org.datavec.api.transform.analysis.json.TDigestDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.datavec.api.util.jackson.DateTimeFieldTypeDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.arbiter.optimize.serde.jackson.GenericDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.arbiter.optimize.serde.jackson.IntegerDistributionDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.arbiter.optimize.serde.jackson.RealDistributionDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.eval.serde.ConfusionMatrixDeserializer
 
deserialize(String) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceElementFactory
This method builds object from provided JSON
deserialize(String) - Method in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
This method builds object from provided JSON
deserialize(String) - Method in class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory
This method builds object from provided JSON
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.distribution.serde.LegacyDistributionDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.ComputationGraphConfigurationDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyIntArrayDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.MultiLayerConfigurationDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.spark.util.serde.StorageLevelDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.linalg.lossfunctions.serde.RowVectorDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.linalg.primitives.serde.JsonDeserializerAtomicBoolean
 
deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.linalg.primitives.serde.JsonDeserializerAtomicDouble
 
deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.serde.json.BaseLegacyDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.shade.serde.jackson.ndarray.NDArrayDeSerializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.shade.serde.jackson.shaded.NDArrayDeSerializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.nd4j.shade.serde.jackson.VectorDeSerializer
 
deserializeCondition(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a Condition serialized using BaseSerializer.serialize(Object)
deserializeConditionList(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a Condition List serialized using BaseSerializer.serializeConditionList(List), or an array serialized using BaseSerializer.serialize(Condition[])
deserializeDataAction(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a DataAction serialized using BaseSerializer.serialize(Object)
deserializeDataActionList(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a DataAction List serialized using BaseSerializer.serializeDataActionList(List), or an array serialized using BaseSerializer.serialize(DataAction[])
deserializedType - Variable in class org.datavec.api.transform.serde.legacy.GenericLegacyDeserializer
 
deserializeFilter(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a Filter serialized using BaseSerializer.serialize(Object)
deserializeFilterList(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a Filter List serialized using BaseSerializer.serializeFilterList(List), or an array serialized using BaseSerializer.serialize(Filter[])
Deserializer<T> - Interface in org.datavec.api.io.serializers
Provides a facility for deserializing objects of type from an InputStream.
deserializeRawJson(String) - Static method in class org.nd4j.serde.gson.GsonDeserializationUtils
Deserialize an ndarray form json
deserializeReducer(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize an IStringReducer serialized using BaseSerializer.serialize(Object)
deserializeReducerList(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize an IStringReducer List serialized using BaseSerializer.serializeReducerList(List), or an array serialized using #serialize(IReducer[])
deserializeSequenceComparator(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a SequenceComparator serialized using BaseSerializer.serialize(Object)
deserializeSequenceComparatorList(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a SequenceComparator List serialized using BaseSerializer.serializeSequenceComparatorList(List), or an array serialized using BaseSerializer.serialize(SequenceComparator[])
deserializeSequenceSplit(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a SequenceSplit serialized using BaseSerializer.serialize(Object)
deserializeSortedRank(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a CalculateSortedRank serialized using BaseSerializer.serialize(Object)
deserializeTransform(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a Transform serialized using BaseSerializer.serialize(Object)
deserializeTransformList(String) - Method in class org.datavec.api.transform.serde.BaseSerializer
Deserialize a Transform List serialized using BaseSerializer.serializeTransformList(List), or an array serialized using BaseSerializer.serialize(Transform[])
DESTINATION_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo
 
destroy() - Method in class org.datavec.nlp.annotator.PoStagger
Releases allocated resources.
destroy() - Method in class org.datavec.nlp.tokenization.tokenizer.ConcurrentTokenizer
Releases allocated resources.
destroy() - Method in class org.deeplearning4j.text.annotator.PoStagger
Releases allocated resources.
destroy() - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
Releases allocated resources.
destroy() - Method in class org.nd4j.jita.allocator.pointers.cuda.cudaEvent_t
 
destroy() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
destroy() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
release all resources for this buffer
destroy() - Method in class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
destroy(CublasPointer, boolean) - Method in class org.nd4j.linalg.jcublas.context.CudaContext
Deprecated.
destroy() - Method in class org.nd4j.linalg.jcublas.context.CudaContext
Deprecated.
destroy() - Method in class org.nd4j.linalg.jcublas.CublasPointer
The actual destroy method
destroy() - Method in class org.nd4j.nativeblas.Nd4jCpu.ShapeList
 
destroy() - Method in class org.nd4j.nativeblas.Nd4jCuda.ShapeList
 
destroyAllWorkspacesForCurrentThread() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager
This method destroys & deallocates all Workspaces for a calling Thread PLEASE NOTE: This method is NOT safe
destroyAllWorkspacesForCurrentThread() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
This method destroys all workspaces allocated in current thread
DESTROYED - Static variable in interface org.nd4j.linalg.api.instrumentation.Instrumentation
 
destroyEvent(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
destroyEvent(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
destroyEvent(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
destroyHandles() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext
 
destroyRandom(Pointer) - Method in class org.nd4j.nativeblas.NativeOps
 
destroyRandom(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
destroyRandom(Pointer) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
destroyWorkspace(boolean) - Method in class org.nd4j.jita.workspace.CudaWorkspace
 
destroyWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
This method causes Workspace destruction: all memory allocations are released after this call.
destroyWorkspace(boolean) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspace
 
destroyWorkspace(MemoryWorkspace) - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager
This method allows you to destroy given Workspace
destroyWorkspace() - Method in interface org.nd4j.linalg.api.memory.MemoryWorkspaceManager
This method destroys current Workspace for current Thread
destroyWorkspace(boolean) - Method in class org.nd4j.linalg.cpu.nativecpu.workspace.CpuWorkspace
 
destroyWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
This method causes Workspace destruction: all memory allocations are released after this call.
destroyWorkspace(boolean) - Method in class org.nd4j.linalg.memory.abstracts.DummyWorkspace
 
destroyWorkspace() - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
destroyWorkspace(boolean) - Method in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
This method basically deallocates workspace memory
destroyWorkspace(MemoryWorkspace) - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
This method destroys given workspace
destroyWorkspace() - Method in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
This method destroy default workspace, if any
detach(StatsStorage) - Method in class org.deeplearning4j.ui.api.UIServer
Detach the specified StatsStorage instance from the UI
detach(StatsStorage) - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
detach() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
This metod detaches INDArray from Workspace, returning copy.
detach() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
detach() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
This method detaches INDArray from Workspace, returning copy.
detach() - Method in interface org.nd4j.linalg.dataset.api.DataSet
This method detaches this DataSet from current Workspace (if any)
detach() - Method in interface org.nd4j.linalg.dataset.api.MultiDataSet
This method detaches this MultiDataSet from current Workspace (if any)
detach() - Method in class org.nd4j.linalg.dataset.DataSet
This method migrates this DataSet into current Workspace (if any)
detach() - Method in class org.nd4j.linalg.dataset.MultiDataSet
This method migrates this DataSet into current Workspace (if any)
detach() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
detach() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
detach() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
detach() - Method in class org.nd4j.nativeblas.Nd4jCpu.ShapeList
PLEASE NOTE: This method should be called ONLY if shapes were generated at workspaces.
detach() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
detach() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
detach() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
detach() - Method in class org.nd4j.nativeblas.Nd4jCuda.ShapeList
PLEASE NOTE: This method should be called ONLY if shapes were generated at workspaces.
detachObject(Object) - Method in interface org.nd4j.jita.allocator.concurrency.Lock
This method notifies locker that specific object was removed from tracking list
detachObject(Object) - Method in class org.nd4j.jita.allocator.concurrency.RRWLock
This method notifies locker that specific object was removed from tracking list
detachShape(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
detachShape(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
detachShape(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
detachShape(LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
detachShape(LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
detachShape(long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
DetectedObject - Class in org.deeplearning4j.nn.layers.objdetect
A detected object, by an object detection algorithm.
DetectedObject(int, double, double, double, double, INDArray, double) - Constructor for class org.deeplearning4j.nn.layers.objdetect.DetectedObject
 
determinationCoefficient(double[], double[], int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the determination coefficient of two vectors given a length
determinationCoefficient(double[], double[], int) - Static method in class org.nd4j.linalg.util.MathUtils
This returns the determination coefficient of two vectors given a length
determineKerasBackend(Map<String, Object>, KerasModelConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Determine Keras backend
determineKerasMajorVersion(Map<String, Object>, KerasModelConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Determine Keras major version
DEV_STATS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.StepStats
 
device() - Method in class org.nd4j.graph.FlatNode
 
device() - Method in class org.nd4j.graph.FlatVariable
 
DEVICE - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::memory::MemoryType
DEVICE - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::memory::MemoryType
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceStepStats
 
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef
 
DEVICE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto
 
DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
DEVICE_PERSISTENT_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats
 
DEVICE_PERSISTENT_TENSOR_ALLOC_IDS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats
 
DEVICE_RESERVED_SPACE - Static variable in class org.nd4j.jita.memory.impl.CudaDirectProvider
 
DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
DEVICE_TEMP_MEMORY_SIZE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.MemoryStats
 
DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes
 
DEVICE_TYPE_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef
 
deviceAddresses - Variable in class org.nd4j.jita.constant.ProtectedCudaConstantHandler
 
DeviceAllocationsTracker - Class in org.nd4j.jita.allocator.concurrency
 
DeviceAllocationsTracker(Configuration) - Constructor for class org.nd4j.jita.allocator.concurrency.DeviceAllocationsTracker
 
DeviceAttributes - Class in org.tensorflow.framework
Protobuf type tensorflow.DeviceAttributes
DeviceAttributes.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.DeviceAttributes
DeviceAttributesOrBuilder - Interface in org.tensorflow.framework
 
DeviceAttributesProtos - Class in org.tensorflow.framework
 
deviceCache - Variable in class org.nd4j.jita.memory.impl.CudaFullCachingProvider
 
deviceCachedAmount - Variable in class org.nd4j.jita.memory.impl.CudaCachingZeroProvider
 
deviceClocks - Variable in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
deviceDescription() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescription(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceDescriptionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceDescriptionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceDescriptionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceDescriptionLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceId - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
deviceId - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
deviceId - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
DeviceInformation - Class in org.nd4j.jita.conf
 
DeviceInformation() - Constructor for class org.nd4j.jita.conf.DeviceInformation
 
DeviceLocal<T> - Class in org.nd4j.linalg.util
Class similar to Java ThreadLocal class, but locality is preserved with respect to device used
DeviceLocal() - Constructor for class org.nd4j.linalg.util.DeviceLocal
 
DeviceLocality - Class in org.tensorflow.framework
Protobuf type tensorflow.DeviceLocality
DeviceLocality.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.DeviceLocality
DeviceLocalityOrBuilder - Interface in org.tensorflow.framework
 
DeviceLocalNDArray - Class in org.nd4j.linalg.util
DeviceLocal implementation for INDArray, with special broadcast method
DeviceLocalNDArray() - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray
 
DeviceLocalNDArray(INDArray) - Constructor for class org.nd4j.linalg.util.DeviceLocalNDArray
 
deviceLocks - Variable in class org.nd4j.jita.constant.ProtectedCudaConstantHandler
 
deviceMemoryMax() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMax(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceMemoryMaxId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceMemoryMaxMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceMemoryMaxNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceMemoryTracker - Variable in class org.nd4j.jita.handler.impl.CudaZeroHandler
 
DeviceMetric - Class in org.deeplearning4j.perf.listener
 
deviceNum() - Method in class org.nd4j.linalg.jcublas.context.ContextHolder
Get the number of devices
deviceOffset - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
DevicePointerInfo - Class in org.nd4j.linalg.jcublas.buffer
Provides information about a device pointer
DevicePointerInfo() - Constructor for class org.nd4j.linalg.jcublas.buffer.DevicePointerInfo
 
DEVICES_TO_BAN - Static variable in class org.nd4j.linalg.jcublas.context.ContextHolder
 
devicesAffinity - Variable in class org.nd4j.jita.handler.impl.CudaZeroHandler
 
DeviceStepStats - Class in org.tensorflow.framework
Protobuf type tensorflow.DeviceStepStats
DeviceStepStats.Builder - Class in org.tensorflow.framework
Protobuf type tensorflow.DeviceStepStats
DeviceStepStatsOrBuilder - Interface in org.tensorflow.framework
 
DeviceTADManager - Class in org.nd4j.jita.allocator.tad
 
DeviceTADManager() - Constructor for class org.nd4j.jita.allocator.tad.DeviceTADManager
 
dgbmv(char, char, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
 
dgbmv(char, char, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel2
 
dgbmv(char, char, int, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel2
 
dgemm(char, char, char, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel3
 
dgemm(char, char, char, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel3
 
dgemm(char, char, char, int, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel3
 
dgemv(char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
 
dgemv(char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel2
 
dgemv(char, char, int, int, double, INDArray, int, INDArray, int, double, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel2
 
dgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
 
dgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLapack
 
dgeqrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLapack
 
dger(char, int, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel2
 
dger(char, int, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel2
 
dger(char, int, int, double, INDArray, int, INDArray, int, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel2
 
dgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
 
dgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLapack
 
dgesvd(byte, byte, int, int, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLapack
 
dgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLapack
 
dgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLapack
 
dgetrf(int, int, INDArray, INDArray, INDArray) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLapack
 
dgetrf(long[], int, int, long, int, int[], int) - Method in class org.nd4j.nativeblas.NativeLapack
LU decomposiiton of a matrix
dgetri(long[], int, long, int, int[], long, int, int) - Method in class org.nd4j.nativeblas.NativeLapack
Generate inverse ggiven LU decomp
diag(INDArray) - Method in class org.deeplearning4j.plot.Tsne
 
diag(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
diag(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
diag(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Returns an output variable with diagonal values equal to the specified values; off-diagonal values will be set to 0
For example, if input = [1,2,3], then output is given by:
[ 1, 0, 0]
[ 0, 2, 0]
[ 0, 0, 3]

Higher input ranks are also supported: if input has shape [a,...,R-1] then output[i,...,k,i,...,k] = input[i,...,k].
Diag - Class in org.nd4j.linalg.api.ops.impl.shape
Computes a diagonal matrix of shape (n, n) from a vector of length n.
Diag() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Diag
 
Diag(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Diag
 
Diag(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Diag
 
diag(INDArray, int) - Static method in class org.nd4j.linalg.factory.Nd4j
Creates a new matrix where the values of the given vector are the diagonal values of the matrix if a vector is passed in, if a matrix is returns the kth diagonal in the matrix
diag(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Creates a new matrix where the values of the given vector are the diagonal values of the matrix if a vector is passed in, if a matrix is returns the kth diagonal in the matrix
diagonal(char) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
return vector with buffer which points on corresponding diagonal elements of array type - means of vector to be returned: column ('c') or row ('r')
diagonal(char) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
return vector with buffer which points on corresponding diagonal elements of array type - means of vector to be returned: column ('c') or row ('r')
diagonal(char) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
return vector with buffer which points on corresponding diagonal elements of array type - means of vector to be returned: column ('c') or row ('r')
diagonal(char) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
return vector with buffer which points on corresponding diagonal elements of array type - means of vector to be returned: column ('c') or row ('r')
diagonal(char) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
return vector with buffer which points on corresponding diagonal elements of array type - means of vector to be returned: column ('c') or row ('r')
diagonal(char) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
return vector with buffer which points on corresponding diagonal elements of array type - means of vector to be returned: column ('c') or row ('r')
diagPart(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
diagPart(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
diagPart(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Extract the diagonal part from the input array.
If input is
[ 1, 0, 0]
[ 0, 2, 0]
[ 0, 0, 3]
then output is [1, 2, 3].
Supports higher dimensions: in general, out[i,...,k] = in[i,...,k,i,...,k]
DiagPart - Class in org.nd4j.linalg.api.ops.impl.shape
Return the diagonal part of a tensor.
DiagPart() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.DiagPart
 
DiagPart(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.DiagPart
 
DiagPart(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.DiagPart
 
DicAnalysis - Class in org.ansj.splitWord.analysis
默认用户自定义词性优先
DicAnalysis() - Constructor for class org.ansj.splitWord.analysis.DicAnalysis
 
DicAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.DicAnalysis
 
DicLibrary - Class in org.ansj.library
 
DicLibrary() - Constructor for class org.ansj.library.DicLibrary
 
DicReader - Class in org.ansj.dic
加载词典用的类
DicReader() - Constructor for class org.ansj.dic.DicReader
 
DicRecognition - Class in org.ansj.recognition.impl
用户自定词典识别 多本词典加入后将不再具有先后顺序,合并后统一规划.如果需要先后顺序请分别每个词典调用 Result.Recognition().Recognition() 这种方式 TODO:这种写灵活性是够了,但是速度不咋地.发愁........该不该这么写.先保留吧..也许在下一个版本中来做把
DicRecognition() - Constructor for class org.ansj.recognition.impl.DicRecognition
 
DicRecognition(String[]) - Constructor for class org.ansj.recognition.impl.DicRecognition
 
DicRecognition(Forest[]) - Constructor for class org.ansj.recognition.impl.DicRecognition
 
DicRecognition(Forest) - Constructor for class org.ansj.recognition.impl.DicRecognition
 
Dictionary - Interface in com.atilika.kuromoji.dict
 
DictionaryCompiler - Class in com.atilika.kuromoji.ipadic.compile
 
DictionaryCompiler() - Constructor for class com.atilika.kuromoji.ipadic.compile.DictionaryCompiler
 
DictionaryCompilerBase - Class in com.atilika.kuromoji.compile
 
DictionaryCompilerBase() - Constructor for class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
dictionaryEntries - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
dictionaryEntries - Variable in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
DictionaryEntry - Class in com.atilika.kuromoji.ipadic.compile
 
DictionaryEntry(String[]) - Constructor for class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
DictionaryEntryBase - Class in com.atilika.kuromoji.dict
 
DictionaryEntryBase(String, short, short, short) - Constructor for class com.atilika.kuromoji.dict.DictionaryEntryBase
 
DictionaryEntryLineParser - Class in com.atilika.kuromoji.util
 
DictionaryEntryLineParser() - Constructor for class com.atilika.kuromoji.util.DictionaryEntryLineParser
 
DictionaryField - Class in com.atilika.kuromoji.dict
 
DictionaryField() - Constructor for class com.atilika.kuromoji.dict.DictionaryField
 
dictionaryMap - Variable in class com.atilika.kuromoji.TokenizerBase
 
diff(List<SDVariable>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
Perform automatic differentiation wrt the input variables
diff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.IfDerivative
 
difference(Collection<? extends T>, Collection<? extends T>) - Static method in class org.deeplearning4j.clustering.util.SetUtils
Return is s1 \ s2
difference(Collection<? extends T>, Collection<? extends T>) - Static method in class org.nd4j.util.SetUtils
Return is s1 \ s2
differences(Schema) - Method in class org.datavec.api.transform.schema.Schema
Compute the difference in ColumnMetaData between this schema and the passed in schema.
DifferentialFunction - Class in org.nd4j.autodiff.functions
 
DifferentialFunction() - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction
 
DifferentialFunction(SameDiff, NodeDef, Map<String, AttrValue>, GraphDef) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction
Initialize the function from the given NodeDef
DifferentialFunction(SameDiff, OnnxProto3.NodeProto, Map<String, OnnxProto3.AttributeProto>, OnnxProto3.GraphProto) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction
Initialize the function from the given OnnxProto3.NodeProto
DifferentialFunction(SameDiff, boolean, Object[]) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction
 
DifferentialFunction(SameDiff, Object[]) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction
 
DifferentialFunction(SameDiff, SDVariable[]) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction
 
DifferentialFunction(SameDiff, boolean, SDVariable[]) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunction
Add the various arguments for this function
DifferentialFunctionClassHolder - Class in org.nd4j.imports.converters
 
DifferentialFunctionFactory - Class in org.nd4j.autodiff.functions
 
DifferentialFunctionFactory(SameDiff) - Constructor for class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
digest - Variable in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
digest(TDigest) - Method in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
digest - Variable in class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis
 
dilation - Variable in class org.deeplearning4j.arbiter.layers.BaseConvolutionLayerSpace.Builder
 
dilation(int...) - Method in class org.deeplearning4j.arbiter.layers.BaseConvolutionLayerSpace.Builder
 
dilation(ParameterSpace<int[]>) - Method in class org.deeplearning4j.arbiter.layers.BaseConvolutionLayerSpace.Builder
 
dilation - Variable in class org.deeplearning4j.arbiter.layers.BaseConvolutionLayerSpace
 
dilation - Variable in class org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace.Builder
 
dilation(int...) - Method in class org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace.Builder
 
dilation(ParameterSpace<int[]>) - Method in class org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace.Builder
 
dilation - Variable in class org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace
 
dilation - Variable in class org.deeplearning4j.arbiter.layers.SubsamplingLayerSpace.Builder
 
dilation(int...) - Method in class org.deeplearning4j.arbiter.layers.SubsamplingLayerSpace.Builder
 
dilation(ParameterSpace<int[]>) - Method in class org.deeplearning4j.arbiter.layers.SubsamplingLayerSpace.Builder
 
dilation - Variable in class org.deeplearning4j.arbiter.layers.SubsamplingLayerSpace
 
dilation(int...) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
Set dilation size for 3D convolutions in (depth, height, width) order
dilation - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
dilation(int...) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
Kernel dilation.
dilation - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
dilation(int) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected1D.Builder
 
dilation(int...) - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected2D.Builder
 
dilation - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
dilation(int, int, int) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
dilation - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
dilation(int...) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
Kernel dilation.
dilation - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
dilation2D(SDVariable, SDVariable, int[], int[], boolean) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
dilation2D(SDVariable, SDVariable, int[], int[], boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
TODO doc string
dilation2D(String, SDVariable, SDVariable, int[], int[], boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
TODO doc string
Dilation2D - Class in org.nd4j.linalg.api.ops.impl.transforms
Dilation2D op wrapper
Dilation2D() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
Dilation2D(SameDiff, SDVariable[], int[], int[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
Dilation2D(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Dilation2D
 
DIM_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorShapeProto
 
DIM_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorShapeProto
 
DIM_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto
 
DIM_PARAM_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
DIM_PARAM_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
DIM_VALUE_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
DIM_VALUE_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
dimension - Variable in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
dimension - Variable in class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
dimensions - Variable in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
dimensions - Variable in class org.nd4j.autodiff.functions.DifferentialFunction
 
dimensions(int) - Method in class org.nd4j.graph.FlatNode
 
dimensions - Variable in class org.nd4j.linalg.api.ops.impl.accum.BaseReduction
 
dimensions - Variable in class org.nd4j.linalg.api.ops.impl.accum.bp.BaseReductionBp
 
dimensionsAsByteBuffer() - Method in class org.nd4j.graph.FlatNode
 
dimensionsLength() - Method in class org.nd4j.graph.FlatNode
 
dimOrder - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
dimOrder - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
dimOrder - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
dimOrder(KerasLayer.DimOrder) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Manually set dim order for Keras model, i.e.
DIMS_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
DIMS_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
dimShuffle(Object[], int[], boolean[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
dimShuffle(Object[], long[], boolean[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Dimshuffle: an extension of permute that adds the ability to broadcast various dimensions.
dimShuffle(Object[], int[], boolean[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
dimShuffle(Object[], long[], boolean[]) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
dimShuffle(Object[], int[], boolean[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Dimshuffle: an extension of permute that adds the ability to broadcast various dimensions.
dimShuffle(Object[], long[], boolean[]) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
Direction - Class in org.nd4j.graph
 
direction() - Method in class org.nd4j.graph.FlatConfiguration
 
DirectShapeInfoProvider - Class in org.nd4j.linalg.cpu.nativecpu
 
DirectShapeInfoProvider() - Constructor for class org.nd4j.linalg.cpu.nativecpu.DirectShapeInfoProvider
 
DirectSparseInfoProvider - Class in org.nd4j.linalg.cpu.nativecpu
 
DirectSparseInfoProvider() - Constructor for class org.nd4j.linalg.cpu.nativecpu.DirectSparseInfoProvider
 
DirectSparseInfoProvider - Class in org.nd4j.linalg.jcublas
 
DirectSparseInfoProvider() - Constructor for class org.nd4j.linalg.jcublas.DirectSparseInfoProvider
 
dirty() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Deprecated.
dirty() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Whether the buffer is dirty: aka has been updated
dirty - Variable in class org.nd4j.linalg.primitives.Counter
 
disabledCounter - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
disableDebugging() - Method in class org.nd4j.autodiff.samediff.SameDiff
Clears debugging state and disables debug mode.
disableHeartbeat() - Method in class org.nd4j.linalg.heartbeat.Heartbeat
 
disableLogging() - Static method in class org.datavec.nlp.movingwindow.Util
 
disableLogging() - Static method in class org.deeplearning4j.text.movingwindow.Util
 
disableRemoteListener() - Method in class org.deeplearning4j.ui.api.UIServer
Disable the remote listener functionality (disabled by default)
disableRemoteListener() - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
discardScheduledToe() - Method in class org.nd4j.jita.allocator.concurrency.AtomicState
This method discards scheduled Toe state entry, but doesn't exits currently entered Toe state, if that's the case.
DiscreteParameterSpace<P> - Class in org.deeplearning4j.arbiter.optimize.parameter.discrete
A DiscreteParameterSpace is used for a set of un-ordered values
DiscreteParameterSpace(P...) - Constructor for class org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace
 
DiscreteParameterSpace(Collection<P>) - Constructor for class org.deeplearning4j.arbiter.optimize.parameter.discrete.DiscreteParameterSpace
 
discreteSpace - Variable in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
discreteSpace - Variable in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom
 
DiscreteSpace - Class in org.deeplearning4j.rl4j.space
 
DiscreteSpace(int) - Constructor for class org.deeplearning4j.rl4j.space.DiscreteSpace
 
discretize(double, double, double, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Discretize the given value
discretize(double, double, double, int) - Static method in class org.nd4j.linalg.util.MathUtils
Discretize the given value
DiskBasedQueue<E> - Class in org.deeplearning4j.util
Naive disk based queue for storing items on disk.
DiskBasedQueue() - Constructor for class org.deeplearning4j.util.DiskBasedQueue
 
DiskBasedQueue(String) - Constructor for class org.deeplearning4j.util.DiskBasedQueue
 
DiskBasedQueue(File) - Constructor for class org.deeplearning4j.util.DiskBasedQueue
 
DiskInfo - Class in org.deeplearning4j.perf.listener
 
DispatchOp<T,U> - Class in org.datavec.api.transform.ops
This class takes many IAggregableReduceOp, each acting on one field, and each returning several Writable elements, in the form of a list of Writable.
DispatchOp() - Constructor for class org.datavec.api.transform.ops.DispatchOp
 
DispatchWithConditionOp<U> - Class in org.datavec.api.transform.ops
A variant of DispatchOp that for each operation, tests the input list of elements for a Condition, before dispatching the appropriate column of this element to its operation.
DispatchWithConditionOp(List<IAggregableReduceOp<Writable, List<U>>>, List<Condition>) - Constructor for class org.datavec.api.transform.ops.DispatchWithConditionOp
 
DISPLAY_NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.SummaryMetadata
 
displayByteArray(byte[]) - Static method in class org.datavec.api.io.WritableUtils
 
dist(Distribution) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
dist(ParameterSpace<Distribution>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
dist - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
dist - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
dist(Distribution) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
dist(ParameterSpace<Distribution>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
dist - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
dist - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
dist(Distribution) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Distribution to sample initial weights from.
dist - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
dist - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
dist(Distribution) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Distribution to sample initial weights from.
dist(Distribution) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Distribution to sample initial weights from.
dist - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
Distance - Enum in org.datavec.api.transform
Distance enumeration
distance(DataPoint) - Method in class org.deeplearning4j.clustering.sptree.DataPoint
Euclidean distance
distance(INDArray, INDArray) - Method in class org.deeplearning4j.clustering.vptree.VPTree
Euclidean distance
distance1(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns the (1-norm) distance.
distance1(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
distance1(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the (1-norm) distance.
distance2(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Returns the (euclidean) distance.
distance2(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
distance2(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the (euclidean) distance.
distanceFinderZValue(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will translate a vector in to an equivalent integer
distanceFinderZValue(double[]) - Static method in class org.nd4j.linalg.util.MathUtils
This will translate a vector in to an equivalent integer
distanceFunction - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
distRecurrent - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
distRecurrent - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
DistributedAssignMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
Assign target row to specified value
DistributedAssignMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedAssignMessage
 
DistributedAssignMessage(Integer, int, double) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedAssignMessage
 
DistributedAssignMessage(Integer, INDArray) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedAssignMessage
 
DistributedCbowDotMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
 
DistributedCbowDotMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedCbowDotMessage
 
DistributedCbowDotMessage(long, int, int) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedCbowDotMessage
Deprecated.
DistributedCbowDotMessage(long, int[], int[], int, byte[], boolean, short, float) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedCbowDotMessage
 
DistributedDeepLearningTrainer - Class in org.deeplearning4j.aws.ec2.provision
 
DistributedFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
 
DistributedFunction(Broadcast<VoidConfiguration>, Broadcast<VectorsConfiguration>, Broadcast<VocabCache<ShallowSequenceElement>>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.DistributedFunction
 
DistributedInitializationMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
 
DistributedInitializationMessage(int, int, long, boolean, boolean, int) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedInitializationMessage
 
DistributedIntroductionMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
 
DistributedIntroductionMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedIntroductionMessage
 
DistributedIntroductionMessage(String, int) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedIntroductionMessage
 
DistributedMessage - Interface in org.nd4j.parameterserver.distributed.messages
 
DistributedSgDotMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
 
DistributedSgDotMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSgDotMessage
 
DistributedSgDotMessage(long, int, int) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSgDotMessage
Deprecated.
DistributedSgDotMessage(long, int[], int[], int, int, byte[], boolean, short, float) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSgDotMessage
 
DistributedShutdownMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
 
DistributedShutdownMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedShutdownMessage
 
DistributedSkipGramMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
 
DistributedSkipGramMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSkipGramMessage
 
DistributedSkipGramMessage(SkipGramRequestMessage) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSkipGramMessage
 
DistributedSolidMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
Array passed here will be shared & available on all shards.
DistributedSolidMessage(Integer, INDArray, boolean) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSolidMessage
 
DistributedVectorMessage - Class in org.nd4j.parameterserver.distributed.messages.intercom
 
DistributedVectorMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedVectorMessage
 
DistributedVectorMessage(Integer, int) - Constructor for class org.nd4j.parameterserver.distributed.messages.intercom.DistributedVectorMessage
 
Distribution - Class in org.deeplearning4j.nn.conf.distribution
An abstract distribution.
Distribution() - Constructor for class org.deeplearning4j.nn.conf.distribution.Distribution
 
Distribution - Interface in org.nd4j.linalg.api.rng.distribution
A probability distribution
DISTRIBUTION - Static variable in class org.nd4j.linalg.factory.Nd4j
 
DISTRIBUTION_FACTORY - Static variable in class org.nd4j.linalg.factory.Nd4j
 
distributionEquals(IntegerDistribution, IntegerDistribution) - Static method in class org.deeplearning4j.arbiter.optimize.distribution.DistributionUtils
 
DistributionFactory - Interface in org.nd4j.linalg.api.rng.distribution.factory
Create a distribution
distributionFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
DistributionInitScheme - Class in org.nd4j.weightinit.impl
Initialize the weights based on a given Distribution
DistributionInitScheme(char, Distribution) - Constructor for class org.nd4j.weightinit.impl.DistributionInitScheme
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
distributionInputSize(int) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Get the number of distribution parameters for the given input data size.
Distributions - Class in org.deeplearning4j.nn.conf.distribution
Static method for instantiating an nd4j distribution from a configuration object.
distributionsEqual(RealDistribution, RealDistribution) - Static method in class org.deeplearning4j.arbiter.optimize.distribution.DistributionUtils
 
DistributionStats - Class in org.nd4j.linalg.dataset.api.preprocessor.stats
Statistics about the normal distribution of values in data (means and standard deviations).
DistributionStats(INDArray, INDArray) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats
 
DistributionStats.Builder - Class in org.nd4j.linalg.dataset.api.preprocessor.stats
DynamicCustomOpsBuilder class that can incrementally update a running mean and variance in order to create statistics for a large set of data
DistributionUniform - Class in org.nd4j.linalg.api.ops.random.custom
Uniform distribution wrapper
DistributionUniform() - Constructor for class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
 
DistributionUniform(SameDiff, SDVariable, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
 
DistributionUniform(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
 
DistributionUtils - Class in org.deeplearning4j.arbiter.optimize.distribution
Distribution utils for Apache Commons math distributions - which don't provide equals, hashcode, toString methods, don't implement serializable etc.
distributionVariationRateLessThan(double) - Static method in class org.deeplearning4j.clustering.condition.ConvergenceCondition
 
div(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
div(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
div(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
div(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
div(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
div(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
div(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
div(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
in place (element wise) division of two matrices
div(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
copy (element wise) division of two matrices
div(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
div(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
div(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
div(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
div(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
div(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Division by a number
div(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
div(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Copy (element wise) division of two NDArrays
div(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
copy (element wise) division of two NDArrays
div(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast divide op.
div(AbstractNumber) - Method in interface org.nd4j.linalg.util.AbstractNumber
 
divBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
DivBpOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp
Division backprop operation.
DivBpOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.DivBpOp
 
DivBpOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.DivBpOp
 
divColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
divColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
divColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Division of a column vector (copy)
divi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
divi(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
divi(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
divi(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
divi(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
divi(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
divi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
divi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
in place (element wise) division of two matrices
divi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
in place (element wise) division of two matrices
divi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
divi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
divi(Number, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
divi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
divi(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
divi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place scalar division
divi(Number, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place division of this ndarray
divi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
in place (element wise) division of two NDArrays
divi(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
in place (element wise) division of two NDArrays
diviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
diviColumnVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
diviColumnVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place division of a column vector
divide(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
pairwise division operator: array / other other - input array to divide on
divide(double) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
division operator: array / scalar scalar - input scalar to divide each array element on
divide(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
pairwise division operator: array / other other - input array to divide on
divide(float) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
division operator: array / scalar scalar - input scalar to divide each array element on
divide(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
pairwise division operator: array / other other - input array to divide on
divide(short) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
division operator: array / scalar scalar - input scalar to divide each array element on
divide(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
pairwise division operator: array / other other - input array to divide on
divide(double) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
division operator: array / scalar scalar - input scalar to divide each array element on
divide(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
pairwise division operator: array / other other - input array to divide on
divide(float) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
division operator: array / scalar scalar - input scalar to divide each array element on
divide(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
pairwise division operator: array / other other - input array to divide on
divide(short) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
division operator: array / scalar scalar - input scalar to divide each array element on
divideBy(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
Divide the features by a scalar
divideBy(int) - Method in class org.nd4j.linalg.dataset.DataSet
 
dividePut(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
pairwise division unary operator: array /= other other - input array to divide on
dividePut(double) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
division unary operator: array /= scalar scalar - input scalar to divide on
dividePut(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
pairwise division unary operator: array /= other other - input array to divide on
dividePut(float) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
division unary operator: array /= scalar scalar - input scalar to divide on
dividePut(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
pairwise division unary operator: array /= other other - input array to divide on
dividePut(short) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
division unary operator: array /= scalar scalar - input scalar to divide on
dividePut(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
pairwise division unary operator: array /= other other - input array to divide on
dividePut(double) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
division unary operator: array /= scalar scalar - input scalar to divide on
dividePut(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
pairwise division unary operator: array /= other other - input array to divide on
dividePut(float) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
division unary operator: array /= scalar scalar - input scalar to divide on
dividePut(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
pairwise division unary operator: array /= other other - input array to divide on
dividePut(short) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
division unary operator: array /= scalar scalar - input scalar to divide on
diviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
diviRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
diviRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place division of a row vector
DivObject - Class in org.datavec.api.transform.ui
Created by Alex on 25/03/2016.
DivObject() - Constructor for class org.datavec.api.transform.ui.DivObject
 
DivOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic
Division operation
DivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
 
DivOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
 
DivOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
 
divRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
In place addition of a column vector
divRowVector(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
divRowVector(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Division of a row vector (copy)
divRowVector(Nd4jCpu.DoubleNDArray, Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
divide all rows of this array on given row vector, store result in target row - row vector to divide on target - where to store result
divRowVector(Nd4jCpu.FloatNDArray, Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
divide all rows of this array on given row vector, store result in target row - row vector to divide on target - where to store result
divRowVector(Nd4jCpu.HalfNDArray, Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
divide all rows of this array on given row vector, store result in target row - row vector to divide on target - where to store result
divRowVector(Nd4jCuda.DoubleNDArray, Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
divide all rows of this array on given row vector, store result in target row - row vector to divide on target - where to store result
divRowVector(Nd4jCuda.FloatNDArray, Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
divide all rows of this array on given row vector, store result in target row - row vector to divide on target - where to store result
divRowVector(Nd4jCuda.HalfNDArray, Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
divide all rows of this array on given row vector, store result in target row - row vector to divide on target - where to store result
DL4J_BASE_URL_PROPERTY - Static variable in class org.deeplearning4j.common.resources.DL4JResources
DL4J_RESOURCES_BASE_URL_PROPERTY - Static variable in class org.deeplearning4j.config.DL4JSystemProperties
Applicability: Numerous modules, including deeplearning4j-datasets and deeplearning4j-zoo
Description: Used to set the base URL for hosting of resources such as datasets (like MNIST) and pretrained models in the model zoo.
DL4J_RESOURCES_DIR_PROPERTY - Static variable in class org.deeplearning4j.common.resources.DL4JResources
DL4J_RESOURCES_DIR_PROPERTY - Static variable in class org.deeplearning4j.config.DL4JSystemProperties
Applicability: Numerous modules, including deeplearning4j-datasets and deeplearning4j-zoo
Description: Used to set the local location for downloaded remote resources such as datasets (like MNIST) and pretrained models in the model zoo.
DL4J_VOID_IP - Static variable in class org.deeplearning4j.config.DL4JEnvironmentVars
Applicability: Module dl4j-spark-parameterserver_2.xx
Usage: A fallback for determining the local IP for a Spark training worker, if other approaches fail to determine the local IP
DL4J_VOID_IP - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-parameter-server
Usage: A fallback for determining the local IP the parameter server, if other approaches fail to determine the local IP
DL4JArbiterStatusReportingListener - Class in org.deeplearning4j.arbiter.listener
A simple DL4J Iteration listener that calls Arbiter's status listeners
DL4JArbiterStatusReportingListener() - Constructor for class org.deeplearning4j.arbiter.listener.DL4JArbiterStatusReportingListener
 
DL4JConfiguration - Class in org.deeplearning4j.arbiter
DL4JConfiguration: simple configuration method that contains the following:
- MultiLayerConfiguration
- Early stopping settings, OR number of epochs
Note: if early stopping configuration is absent, a fixed number of epochs (default: 1) will be used.
DL4JConfiguration() - Constructor for class org.deeplearning4j.arbiter.DL4JConfiguration
 
DL4JEnvironmentVars - Class in org.deeplearning4j.config
DL4JSystemProperties class contains the environment variables that can be used to configure various aspects of DL4J.
DL4JException - Exception in org.deeplearning4j.exception
Base exception for DL4J
DL4JException() - Constructor for exception org.deeplearning4j.exception.DL4JException
 
DL4JException(String) - Constructor for exception org.deeplearning4j.exception.DL4JException
 
DL4JException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JException
 
DL4JException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JException
 
DL4JInvalidConfigException - Exception in org.deeplearning4j.exception
Exception signifying that the specified configuration is invalid
DL4JInvalidConfigException() - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
 
DL4JInvalidConfigException(String) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
 
DL4JInvalidConfigException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
 
DL4JInvalidConfigException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
 
DL4JInvalidInputException - Exception in org.deeplearning4j.exception
DL4J Exception thrown when invalid input is provided (wrong rank, wrong size, etc)
DL4JInvalidInputException() - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
 
DL4JInvalidInputException(String) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
 
DL4JInvalidInputException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
 
DL4JInvalidInputException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
 
Dl4jReflection - Class in org.deeplearning4j.util
 
DL4JResources - Class in org.deeplearning4j.common.resources
DL4JResources controls the local storage locations for models and datasets that are downloaded and stored locally.
The storage location is customizable in 2 ways:
(a) via the DL4JResources.DL4J_RESOURCES_DIR_PROPERTY system property, org.deeplearning4j.resources.directory
(b) By calling DL4JResources.setBaseDirectory(File) at runtime
DL4JResources() - Constructor for class org.deeplearning4j.common.resources.DL4JResources
 
DL4JSystemProperties - Class in org.deeplearning4j.config
DL4JSystemProperties class contains the system properties that can be used to configure various aspects of DL4J.
dLength() - Method in class org.nd4j.graph.FlatProperties
 
DM<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.sequence
DM implementation for DeepLearning4j
DM() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
dm(int, Sequence<T>, int, AtomicLong, double, List<T>, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
dnrm2(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
dnrm2(long, INDArray, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
dnrm2(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.CpuLevel1
 
dnrm2(long, INDArray, int) - Method in class org.nd4j.linalg.cpu.nativecpu.blas.SparseCpuLevel1
Computes the Euclidean norm of a double vector
dnrm2(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcublasLevel1
 
dnrm2(long, INDArray, int) - Method in class org.nd4j.linalg.jcublas.blas.JcusparseLevel1
 
doAlongDiagonal(INDArray, Function<Number, Number>) - Static method in class org.nd4j.linalg.factory.Nd4j
Perform an operation along a diagonal
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Do backward pass
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex
 
doByteBufferPutCompressed(INDArray, ByteBuffer, boolean) - Static method in class org.nd4j.serde.binary.BinarySerde
Setup the given byte buffer for serialization (note that this is for compressed INDArrays) 4 bytes for rank 4 bytes for data opType shape information codec information data opType
doByteBufferPutUnCompressed(INDArray, ByteBuffer, boolean) - Static method in class org.nd4j.serde.binary.BinarySerde
Setup the given byte buffer for serialization (note that this is for uncompressed INDArrays) 4 bytes int for rank 4 bytes for data opType shape buffer data buffer
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.GraphProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ModelProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.NodeProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ValueInfoProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.GraphProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ModelProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.NodeProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
DOC_STRING_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ValueInfoProto
 
docAppearedIn(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns number of documents (if applicable) the label was observed in.
docAppearedIn(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
docAppearedIn(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Count of documents a word appeared in
docFrequencies - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
docIter - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
doColumnWise(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Do a row wise op (a,s,m,d) a : add s : subtract m : multiply d : divide h : reverse subtraction t : reverse division
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.BaseWeightInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.ConstantInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.DistributionInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.IdentityInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.LecunUniformInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.OneInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.ReluInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.ReluUniformInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.SigmoidUniformInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.UniformInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanAvgInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanInInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalFanOutInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalUniformFanInInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingNormalUniformFanOutInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.VarScalingUniformFanAvgInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.XavierFanInInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.XavierInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.XavierUniformInitScheme
 
doCreate(long[], INDArray) - Method in class org.nd4j.weightinit.impl.ZeroInitScheme
 
docs() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterate over documents
document(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns a list of words for a document
documentIterator - Variable in class org.deeplearning4j.models.glove.Glove.Builder
 
DocumentIterator - Interface in org.deeplearning4j.text.documentiterator
Document Iterator: iterate over input streams
DocumentIteratorConverter - Class in org.deeplearning4j.text.documentiterator.interoperability
Simple class providing compatibility between DocumentIterator/LabelAwareDocumentIterator and LabelAwareIterator
DocumentIteratorConverter(LabelAwareDocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
DocumentIteratorConverter(DocumentIterator, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
documentPosition - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
documents(T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns the list of documents a vocab word is in
DocumentSequenceConvertFunction - Class in org.deeplearning4j.spark.models.paragraphvectors.functions
 
DocumentSequenceConvertFunction(Broadcast<VectorsConfiguration>) - Constructor for class org.deeplearning4j.spark.models.paragraphvectors.functions.DocumentSequenceConvertFunction
 
documentWithLabel(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns a list of words for a document and the associated label
documentWithLabels(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns a list of words associated with the document and the associated labels
doDiff(List<SDVariable>) - Method in class org.nd4j.autodiff.functions.DifferentialFunction
The actual implementation for automatic differentiation.
doDiff(List<SDVariable>) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.DefaultOpConverter
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.All
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.AMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.AMean
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.AMin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Any
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.ASum
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.BatchMmul
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Bias
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.CountNonZero
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.CountZero
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.CumProd
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.CumSum
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineDistance
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
 
doDiff(SameDiff, DifferentialFunctionFactory, SDVariable, SDVariable, SDVariable, int...) - Static method in class org.nd4j.linalg.api.ops.impl.accum.distances.CosineSimilarity
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.EuclideanDistance
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.HammingDistance
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.JaccardDistance
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.distances.ManhattanDistance
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Dot
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Entropy
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.EqualsWithEps
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.LogEntropy
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.LogSumExp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.MatchCondition
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Max
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mean
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Min
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Mmul
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Moments
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm1
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Norm2
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.NormMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Prod
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.ShannonEntropy
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.SquaredNorm
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.StandardDeviation
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Sum
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.TensorMmul
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.Variance
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.accum.ZeroFraction
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.grid.FreeGridOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.AvgPooling2D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Col2Im
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2DDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv3DDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DeConv2DTF
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthToSpace
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.FullConv3DDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2col
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Im2colBp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LegacyPooling2D
Deprecated.
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalization
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.MaxPooling2D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling2DDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Pooling3DDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2DDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.SpaceToDepth
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.layers.Linear
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.meta.InvertedPredicateMetaOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.meta.PredicateMetaOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.meta.ReduceMetaOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThanOrEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarLessThanOrEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarNotEquals
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarSetValue
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarAdd
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarDivision
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarFMod
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarMultiplication
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarRemainder
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseDivision
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarReverseSubtraction
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSet
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scalar.ScalarSubtraction
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterAdd
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterDiv
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterMul
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterSub
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.scatter.ScatterUpdate
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ApplyGradientDescent
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.SliceBp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.StridedSliceBp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.bp.TileBp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Broadcast
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Concat
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ConfusionMatrix
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Cross
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Diag
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.DiagPart
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ExpandDims
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Eye
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Gather
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeAvg
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MergeSum
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.MeshGrid
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OneHot
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.OnesLike
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Permute
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Rank
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Repeat
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Reshape
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.RollAxis
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SequenceMask
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Shape
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Size
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.SizeAt
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Slice
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Squeeze
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Stack
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.StridedSlice
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Tile
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Transpose
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.shape.ZerosLike
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Abs
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ACos
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ACosh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.And
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.AddOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.Axpy
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.BaseArithmeticBackpropOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.SquaredDifferenceBpOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.CopyOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.DivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.FloorDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.FloorModOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.FModOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MergeAddOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.MulOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldAddOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldFloorDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldFModOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldMulOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldRDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.OldSubOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RealDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RemainderOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.RSubOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SquaredDifferenceOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.SubOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.TruncateDivOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ASin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ASinh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Assign
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATan2
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ATanh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BatchToSpace
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Ceil
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByNorm
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.clip.ClipByValue
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndSet
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Eps
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.EqualTo
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.GreaterThanOrEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.IsNonDecreasing
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.IsNumericTensor
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.IsStrictlyIncreasing
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.LessThanOrEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.ListDiff
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Max
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.Min
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.NotEqualTo
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldEqualTo
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldGreaterThan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldGreaterThanOrEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldLessThan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldLessThanOrEqual
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldMin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.comparison.OldNotEqualTo
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Constant
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cos
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cosh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Cube
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.dtype.Cast
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.DynamicStitch
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ELU
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Erf
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Erfc
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Exp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Expm1
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Fill
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Floor
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.CubeDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.ELUDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.GradientBackwardsMarker
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardSigmoidDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.HardTanhDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.LogSoftMaxDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RationalTanhDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.RectifiedTanhDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.Relu6Derivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SigmoidDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftmaxBp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftMaxDerivative
Deprecated.
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.SoftSignDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.gradient.TanhDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardSigmoid
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.HardTanh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Histogram
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Identity
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.InvertPermutation
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsFinite
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsInf
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.IsNaN
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LeakyReLU
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOut
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LegacyDropOutInverted
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Log
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Log1p
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoid
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSigmoidDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogSoftMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.LogX
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatchConditionTransform
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixDeterminant
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixDiag
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixDiagPart
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixInverse
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MatrixSetDiag
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.MaxOut
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Not
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldAtan2Op
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldIdentity
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldReverse
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.OldSoftMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.OneMinus
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Or
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Pow
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.PowDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RationalTanh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Reciprocal
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifedLinear
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RectifiedTanh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RelativeError
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Relu6
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReluLayer
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReplaceNans
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Reverse
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReverseSequence
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.ReverseV2
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Rint
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Round
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.RSqrt
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SELU
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Set
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SetRange
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sigmoid
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SigmoidDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sign
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sin
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sinh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftMax
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftPlus
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SoftSign
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SpaceToBatch
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Sqrt
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Square
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Stabilize
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Step
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Swish
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.SwishDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Tan
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.TanDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Tanh
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.temp.ExternalErrorsFunction
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.TimesOneMinus
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Trace
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.Xor
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.impl.transforms.XwPlusB
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.NoOp
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.custom.DistributionUniform
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomBernoulli
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomExponential
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.custom.RandomNormal
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.AlphaDropOut
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.Choice
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOut
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.DropOutInverted
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.GaussianDistribution
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.Linspace
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.LogNormalDistribution
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.ProbablisticMerge
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.Range
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.TruncatedNormalDistribution
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
 
doDiff(List<SDVariable>) - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
 
doesNotContain(String, String, String) - Static method in class org.nd4j.linalg.io.Assert
 
doesNotContain(String, String) - Static method in class org.nd4j.linalg.io.Assert
 
doEvaluation(DataSetIterator, T...) - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method executes evaluation of the model against given iterator and evaluation implementations
doEvaluation(MultiDataSetIterator, T...) - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method executes evaluation of the model against given iterator and evaluation implementations
doEvaluation(DataSetIterator, T...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Perform evaluation on the given data (DataSetIterator) with the given IEvaluation instance
doEvaluation(MultiDataSetIterator, T...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Perform evaluation on the given data (MultiDataSetIterator) with the given IEvaluation instance
doEvaluation(DataSetIterator, T...) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform evaluation using an arbitrary IEvaluation instance.
doEvaluation(MultiDataSetIterator, T[]) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
doEvaluation(JavaRDD<DataSet>, T, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform distributed evaluation of any type of IEvaluation.
doEvaluation(JavaRDD<DataSet>, int, T...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform distributed evaluation on a single output ComputationGraph form DataSet objects using Spark.
doEvaluation(JavaRDD<DataSet>, int, int, T...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform distributed evaluation on a single output ComputationGraph form DataSet objects using Spark.
doEvaluation(JavaRDD<String>, int, int, DataSetLoader, IEvaluation...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform evaluation on serialized DataSet objects on disk, (potentially in any format), that are loaded using an DataSetLoader
doEvaluation(JavaRDD<String>, int, int, MultiDataSetLoader, IEvaluation...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform evaluation on serialized MultiDataSet objects on disk, (potentially in any format), that are loaded using an MultiDataSetLoader
doEvaluation(JavaRDD<String>, int, int, DataSetLoader, MultiDataSetLoader, IEvaluation...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
doEvaluation(JavaRDD<DataSet>, T, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Perform distributed evaluation of any type of IEvaluation.
doEvaluation(JavaRDD<DataSet>, int, T...) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Perform distributed evaluation of any type of IEvaluation - or multiple IEvaluation instances.
doEvaluation(JavaRDD<DataSet>, int, int, T...) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
doEvaluationHelper(DataSetIterator, T...) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
doEvaluationMDS(JavaRDD<MultiDataSet>, int, T...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform distributed evaluation on a single output ComputationGraph form MultiDataSet objects using Spark.
doEvaluationMDS(JavaRDD<MultiDataSet>, int, int, T...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Do forward pass using the stored inputs
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex
 
doGetPath(Object) - Static method in class org.nd4j.linalg.io.VfsUtils
 
doGetUpdate(int) - Method in class org.nd4j.parameterserver.updater.storage.BaseUpdateStorage
A method for actually performing the implementation of retrieving the ndarray
doGetUpdate(int) - Method in class org.nd4j.parameterserver.updater.storage.InMemoryUpdateStorage
A method for actually performing the implementation of retrieving the ndarray
doGetUpdate(int) - Method in class org.nd4j.parameterserver.updater.storage.NoUpdateStorage
A method for actually performing the implementation of retrieving the ndarray
doGetUpdate(int) - Method in class org.nd4j.parameterserver.updater.storage.RocksDbStorage
A method for actually performing the implementation of retrieving the ndarray
doGetVisitorAttribute() - Static method in class org.nd4j.linalg.io.VfsUtils
 
doInit() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex
 
doInit() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
doInit() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
doInitialize(InputSplit) - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
doIteration(SparkDl4jMultiLayer, JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
doIteration(SparkComputationGraph, JavaRDD<MultiDataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
doIteration(SparkDl4jMultiLayer, JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIteration(SparkComputationGraph, JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationMDS(SparkComputationGraph, JavaRDD<MultiDataSet>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationPaths(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<String>, int, int, int, DataSetLoader, MultiDataSetLoader) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
doIterationPaths(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<String>, int, int, DataSetLoader, MultiDataSetLoader, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationPDS(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<PortableDataStream>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
Deprecated.
doIterationPDS_MDS(SparkComputationGraph, JavaRDD<PortableDataStream>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ModelProto
 
DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.NodeProto
 
DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.OperatorSetIdProto
 
DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ModelProto
 
DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.NodeProto
 
DOMAIN_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.OperatorSetIdProto
 
done() - Method in interface org.datavec.api.records.Index
 
donotMaskAllMajorityWindows() - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
If a tbptt segment is all majority class labels default behaviour is to mask all time steps in the segment.
donotMaskMinorityWindows() - Method in class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
If set will not mask timesteps if they fall in a tbptt segment with at least one minority class label
DOOM_ROOT - Static variable in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom
 
doomFixedToDouble(double) - Method in class vizdoom.DoomGame
 
DoomGame - Class in vizdoom
 
DoomGame() - Constructor for class vizdoom.DoomGame
 
doomTics2Ms(double, int) - Method in class vizdoom.DoomGame
 
doomTics2Sec(double, int) - Method in class vizdoom.DoomGame
 
doOp(Writable...) - Method in class org.datavec.api.transform.ndarray.NDArrayColumnsMathOpTransform
 
doOp(Writable...) - Method in class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
 
doOp(Writable...) - Method in class org.datavec.api.transform.transform.doubletransform.DoubleColumnsMathOpTransform
 
doOp(Writable...) - Method in class org.datavec.api.transform.transform.floattransform.FloatColumnsMathOpTransform
 
doOp(Writable...) - Method in class org.datavec.api.transform.transform.geo.CoordinatesDistanceTransform
 
doOp(Writable...) - Method in class org.datavec.api.transform.transform.integer.IntegerColumnsMathOpTransform
 
doOp(Writable...) - Method in class org.datavec.api.transform.transform.longtransform.LongColumnsMathOpTransform
 
doPermuteShapeBuffer(int, LongPointer, IntPointer, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(int, LongBuffer, IntBuffer, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(int, long[], int[], long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(LongPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(LongBuffer, IntBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(long[], int[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(int, LongPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(int, LongBuffer, IntBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(int, long[], int[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeBuffer(int, LongPointer, IntPointer, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeBuffer(int, LongBuffer, IntBuffer, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeBuffer(int, long[], int[], long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeBuffer(LongPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeBuffer(LongBuffer, IntBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeBuffer(long[], int[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeBuffer(int, LongPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeBuffer(int, LongBuffer, IntBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeBuffer(int, long[], int[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeInfo(LongPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeInfo(LongBuffer, IntBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeInfo(long[], int[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeInfo(LongPointer, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeInfo(LongBuffer, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeInfo(long[], long[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteShapeInfo(LongPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeInfo(LongBuffer, IntBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeInfo(long[], int[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeInfo(LongPointer, LongPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeInfo(LongBuffer, LongBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteShapeInfo(long[], long[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteSwap(LongBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
doPermuteSwap(IntBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
doPermuteSwap(DataBuffer, int[]) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
doPermuteSwap(int, LongPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteSwap(int, LongBuffer, IntBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteSwap(int, long[], int[]) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
doPermuteSwap(int, PointerPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCpu
In place permute swap
doPermuteSwap(int, LongPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteSwap(int, LongBuffer, IntBuffer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteSwap(int, long[], int[]) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
doPermuteSwap(int, PointerPointer, IntPointer) - Static method in class org.nd4j.nativeblas.Nd4jCuda
In place permute swap
doReadObject(ObjectInputStream) - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
doRepeat(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
doRowWise(INDArray, char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Do a row wise op (a,s,m,d) a : add s : subtract m : multiply d : divide h : reverse subtraction t : reverse division
dot(double[], double[]) - Static method in class org.ansj.util.MatrixUtil
 
dot(float[], float[]) - Static method in class org.ansj.util.MatrixUtil
 
dot(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
dot(SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
TODO doc string
dot(String, SDVariable, SDVariable, int...) - Method in class org.nd4j.autodiff.samediff.SameDiff
TODO doc string
dot(long, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
computes a vector-vector dot product.
dot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
dot(long, double, INDArray, INDArray) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
computes a vector-vector dot product.
dot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in class org.nd4j.linalg.api.blas.impl.SparseBaseLevel1
 
dot(long, double, INDArray, INDArray) - Method in interface org.nd4j.linalg.api.blas.Level1
computes a vector-vector dot product.
dot(long, DataBuffer, int, int, DataBuffer, int, int) - Method in interface org.nd4j.linalg.api.blas.Level1
Vector-vector dot product
Dot - Class in org.nd4j.linalg.api.ops.impl.accum
Dot product
Dot(SameDiff, SDVariable, SDVariable, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
 
Dot() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
 
Dot(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
 
Dot(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
 
Dot(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
 
Dot(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
 
Dot(INDArray, INDArray, INDArray, boolean, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Dot
 
dot(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseBlasWrapper
 
dot(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
dot(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.BlasWrapper
Compute x^T * y (dot product)
DotAggregation - Class in org.nd4j.parameterserver.distributed.messages.aggregations
 
DotAggregation() - Constructor for class org.nd4j.parameterserver.distributed.messages.aggregations.DotAggregation
 
DotAggregation(long, short, short, INDArray) - Constructor for class org.nd4j.parameterserver.distributed.messages.aggregations.DotAggregation
 
dotAggregation - Variable in class org.nd4j.parameterserver.distributed.training.chains.CbowChain
 
dotAggregation - Variable in class org.nd4j.parameterserver.distributed.training.chains.SkipGramChain
 
dotBp(SDVariable, SDVariable, SDVariable, boolean, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
DotBp - Class in org.nd4j.linalg.api.ops.impl.accum.bp
Backprop op for Dot pairwise reduction operation
DotBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.DotBp
 
DotBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.DotBp
 
DotBp() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.DotBp
 
dotProduct(List<Integer>, List<Integer>) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
dotProduct(int[], int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
dotProductLong(List<Integer>, List<Integer>) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
dotProductLong(int[], int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
dotProductLong2(List<Long>, List<Long>) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
doTraining(T) - Method in class org.nd4j.parameterserver.distributed.training.TrainerProvider
 
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.BaseImageTransform
 
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.BoxImageTransform
Takes an image and returns a boxed version of the image.
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.ColorConversionTransform
Takes an image and returns a transformed image.
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.CropImageTransform
Takes an image and returns a transformed image.
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.EqualizeHistTransform
Takes an image and returns a transformed image.
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.FilterImageTransform
 
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.FlipImageTransform
 
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.LargestBlobCropTransform
Takes an image and returns a cropped image based on it's largest blob.
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.MultiImageTransform
 
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.PipelineImageTransform
Takes an image and executes a pipeline of combined transforms.
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.RandomCropTransform
Takes an image and returns a randomly cropped image.
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.ResizeImageTransform
Takes an image and returns a transformed image.
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.RotateImageTransform
 
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.ScaleImageTransform
 
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.ShowImageTransform
 
doTransform(ImageWritable, Random) - Method in class org.datavec.image.transform.WarpImageTransform
Takes an image and returns a transformed image.
doTruncatedBPTT(INDArray[], INDArray[], INDArray[], INDArray[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Fit the network using truncated BPTT
doTruncatedBPTT(INDArray, INDArray, INDArray, INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
DOUBLE - Static variable in class org.nd4j.graph.DataType
 
double_absolute_difference_loss(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_absolute_difference_loss
Pointer cast constructor.
double_absolute_difference_loss(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_absolute_difference_loss
Native array allocator.
double_absolute_difference_loss() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_absolute_difference_loss
 
double_add(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_add
Pointer cast constructor.
double_add(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_add
Native array allocator.
double_add() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_add
 
double_add_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_add_bp
Pointer cast constructor.
double_add_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_add_bp
Native array allocator.
double_add_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_add_bp
 
double_adjust_hue(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_adjust_hue
Pointer cast constructor.
double_adjust_hue(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_adjust_hue
Native array allocator.
double_adjust_hue() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_adjust_hue
 
double_adjust_saturation(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_adjust_saturation
Pointer cast constructor.
double_adjust_saturation(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_adjust_saturation
Native array allocator.
double_adjust_saturation() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_adjust_saturation
 
double_apply_sgd(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_apply_sgd
Pointer cast constructor.
double_apply_sgd(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_apply_sgd
Native array allocator.
double_apply_sgd() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_apply_sgd
 
double_argmax(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_argmax
Pointer cast constructor.
double_argmax(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_argmax
Native array allocator.
double_argmax() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_argmax
 
double_argmin(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_argmin
Pointer cast constructor.
double_argmin(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_argmin
Native array allocator.
double_argmin() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_argmin
 
DOUBLE_ARRAY_TRIE_FILENAME - Static variable in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
double_assign(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_assign
Pointer cast constructor.
double_assign(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_assign
Native array allocator.
double_assign() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_assign
 
double_assign_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_assign_bp
Pointer cast constructor.
double_assign_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_assign_bp
Native array allocator.
double_assign_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_assign_bp
 
double_avgpool2d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool2d
Pointer cast constructor.
double_avgpool2d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool2d
Native array allocator.
double_avgpool2d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool2d
 
double_avgpool2d_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool2d_bp
Pointer cast constructor.
double_avgpool2d_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool2d_bp
Native array allocator.
double_avgpool2d_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool2d_bp
 
double_avgpool3d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3d
Pointer cast constructor.
double_avgpool3d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3d
Native array allocator.
double_avgpool3d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3d
 
double_avgpool3d_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3d_bp
Pointer cast constructor.
double_avgpool3d_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3d_bp
Native array allocator.
double_avgpool3d_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3d_bp
 
double_avgpool3dnew(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3dnew
Pointer cast constructor.
double_avgpool3dnew(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3dnew
Native array allocator.
double_avgpool3dnew() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3dnew
 
double_avgpool3dnew_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3dnew_bp
Pointer cast constructor.
double_avgpool3dnew_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3dnew_bp
Native array allocator.
double_avgpool3dnew_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_avgpool3dnew_bp
 
double_axpy(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_axpy
Pointer cast constructor.
double_axpy(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_axpy
Native array allocator.
double_axpy() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_axpy
 
double_batch_to_space(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batch_to_space
Pointer cast constructor.
double_batch_to_space(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batch_to_space
Native array allocator.
double_batch_to_space() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batch_to_space
 
double_batched_gemm(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batched_gemm
Pointer cast constructor.
double_batched_gemm(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batched_gemm
Native array allocator.
double_batched_gemm() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batched_gemm
 
double_batchnorm(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batchnorm
Pointer cast constructor.
double_batchnorm(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batchnorm
Native array allocator.
double_batchnorm() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batchnorm
 
double_batchnorm_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batchnorm_bp
Pointer cast constructor.
double_batchnorm_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batchnorm_bp
Native array allocator.
double_batchnorm_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_batchnorm_bp
 
double_betainc(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_betainc
Pointer cast constructor.
double_betainc(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_betainc
Native array allocator.
double_betainc() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_betainc
 
double_biasadd(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_biasadd
Pointer cast constructor.
double_biasadd(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_biasadd
Native array allocator.
double_biasadd() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_biasadd
 
double_biasadd_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_biasadd_bp
Pointer cast constructor.
double_biasadd_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_biasadd_bp
Native array allocator.
double_biasadd_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_biasadd_bp
 
double_bincount(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_bincount
Pointer cast constructor.
double_bincount(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_bincount
Native array allocator.
double_bincount() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_bincount
 
double_boolean_and(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_boolean_and
Pointer cast constructor.
double_boolean_and(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_boolean_and
Native array allocator.
double_boolean_and() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_boolean_and
 
double_boolean_or(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_boolean_or
Pointer cast constructor.
double_boolean_or(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_boolean_or
Native array allocator.
double_boolean_or() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_boolean_or
 
double_broadcast_dynamic_shape(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_broadcast_dynamic_shape
Pointer cast constructor.
double_broadcast_dynamic_shape(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_broadcast_dynamic_shape
Native array allocator.
double_broadcast_dynamic_shape() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_broadcast_dynamic_shape
 
double_broadcastgradientargs(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_broadcastgradientargs
Pointer cast constructor.
double_broadcastgradientargs(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_broadcastgradientargs
Native array allocator.
double_broadcastgradientargs() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_broadcastgradientargs
 
double_cast(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cast
Pointer cast constructor.
double_cast(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cast
Native array allocator.
double_cast() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cast
 
double_choose(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_choose
Pointer cast constructor.
double_choose(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_choose
Native array allocator.
double_choose() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_choose
 
double_clip_by_global_norm(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clip_by_global_norm
Pointer cast constructor.
double_clip_by_global_norm(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clip_by_global_norm
Native array allocator.
double_clip_by_global_norm() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clip_by_global_norm
 
double_clipbyavgnorm(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbyavgnorm
Pointer cast constructor.
double_clipbyavgnorm(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbyavgnorm
Native array allocator.
double_clipbyavgnorm() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbyavgnorm
 
double_clipbynorm(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbynorm
Pointer cast constructor.
double_clipbynorm(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbynorm
Native array allocator.
double_clipbynorm() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbynorm
 
double_clipbynorm_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbynorm_bp
Pointer cast constructor.
double_clipbynorm_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbynorm_bp
Native array allocator.
double_clipbynorm_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbynorm_bp
 
double_clipbyvalue(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbyvalue
Pointer cast constructor.
double_clipbyvalue(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbyvalue
Native array allocator.
double_clipbyvalue() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clipbyvalue
 
double_clone_list(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clone_list
Pointer cast constructor.
double_clone_list(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clone_list
Native array allocator.
double_clone_list() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_clone_list
 
double_col2im(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_col2im
Pointer cast constructor.
double_col2im(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_col2im
Native array allocator.
double_col2im() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_col2im
 
double_concat(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_concat
Pointer cast constructor.
double_concat(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_concat
Native array allocator.
double_concat() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_concat
 
double_concat_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_concat_bp
Pointer cast constructor.
double_concat_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_concat_bp
Native array allocator.
double_concat_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_concat_bp
 
double_Conditional(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_Conditional
Pointer cast constructor.
double_Conditional(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_Conditional
Native array allocator.
double_Conditional() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_Conditional
 
double_confusion_matrix(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_confusion_matrix
Pointer cast constructor.
double_confusion_matrix(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_confusion_matrix
Native array allocator.
double_confusion_matrix() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_confusion_matrix
 
double_conv1d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv1d
Pointer cast constructor.
double_conv1d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv1d
Native array allocator.
double_conv1d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv1d
 
double_conv1d_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv1d_bp
Pointer cast constructor.
double_conv1d_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv1d_bp
Native array allocator.
double_conv1d_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv1d_bp
 
double_conv2d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d
Pointer cast constructor.
double_conv2d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d
Native array allocator.
double_conv2d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d
 
double_conv2d_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d_bp
Pointer cast constructor.
double_conv2d_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d_bp
Native array allocator.
double_conv2d_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d_bp
 
double_conv2d_input_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d_input_bp
Pointer cast constructor.
double_conv2d_input_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d_input_bp
Native array allocator.
double_conv2d_input_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv2d_input_bp
 
double_conv3d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3d
Pointer cast constructor.
double_conv3d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3d
Native array allocator.
double_conv3d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3d
 
double_conv3d_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3d_bp
Pointer cast constructor.
double_conv3d_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3d_bp
Native array allocator.
double_conv3d_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3d_bp
 
double_conv3dnew(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3dnew
Pointer cast constructor.
double_conv3dnew(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3dnew
Native array allocator.
double_conv3dnew() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3dnew
 
double_conv3dnew_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3dnew_bp
Pointer cast constructor.
double_conv3dnew_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3dnew_bp
Native array allocator.
double_conv3dnew_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_conv3dnew_bp
 
double_cosine_distance_loss(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cosine_distance_loss
Pointer cast constructor.
double_cosine_distance_loss(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cosine_distance_loss
Native array allocator.
double_cosine_distance_loss() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cosine_distance_loss
 
double_create_list(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_create_list
Pointer cast constructor.
double_create_list(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_create_list
Native array allocator.
double_create_list() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_create_list
 
double_crelu(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_crelu
Pointer cast constructor.
double_crelu(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_crelu
Native array allocator.
double_crelu() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_crelu
 
double_crelu_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_crelu_bp
Pointer cast constructor.
double_crelu_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_crelu_bp
Native array allocator.
double_crelu_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_crelu_bp
 
double_cross(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cross
Pointer cast constructor.
double_cross(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cross
Native array allocator.
double_cross() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cross
 
double_cube(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cube
Pointer cast constructor.
double_cube(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cube
Native array allocator.
double_cube() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cube
 
double_cube_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cube_bp
Pointer cast constructor.
double_cube_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cube_bp
Native array allocator.
double_cube_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cube_bp
 
double_cumprod(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumprod
Pointer cast constructor.
double_cumprod(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumprod
Native array allocator.
double_cumprod() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumprod
 
double_cumprod_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumprod_bp
Pointer cast constructor.
double_cumprod_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumprod_bp
Native array allocator.
double_cumprod_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumprod_bp
 
double_cumsum(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumsum
Pointer cast constructor.
double_cumsum(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumsum
Native array allocator.
double_cumsum() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumsum
 
double_cumsum_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumsum_bp
Pointer cast constructor.
double_cumsum_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumsum_bp
Native array allocator.
double_cumsum_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_cumsum_bp
 
DOUBLE_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
DOUBLE_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
double_deconv2d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d
Pointer cast constructor.
double_deconv2d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d
Native array allocator.
double_deconv2d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d
 
double_deconv2d_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d_bp
Pointer cast constructor.
double_deconv2d_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d_bp
Native array allocator.
double_deconv2d_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d_bp
 
double_deconv2d_tf(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d_tf
Pointer cast constructor.
double_deconv2d_tf(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d_tf
Native array allocator.
double_deconv2d_tf() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_deconv2d_tf
 
double_depth_to_space(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depth_to_space
Pointer cast constructor.
double_depth_to_space(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depth_to_space
Native array allocator.
double_depth_to_space() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depth_to_space
 
double_depthwise_conv2d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depthwise_conv2d
Pointer cast constructor.
double_depthwise_conv2d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depthwise_conv2d
Native array allocator.
double_depthwise_conv2d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depthwise_conv2d
 
double_depthwise_conv2d_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depthwise_conv2d_bp
Pointer cast constructor.
double_depthwise_conv2d_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depthwise_conv2d_bp
Native array allocator.
double_depthwise_conv2d_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_depthwise_conv2d_bp
 
double_diag(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_diag
Pointer cast constructor.
double_diag(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_diag
Native array allocator.
double_diag() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_diag
 
double_diag_part(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_diag_part
Pointer cast constructor.
double_diag_part(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_diag_part
Native array allocator.
double_diag_part() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_diag_part
 
double_dilation2d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dilation2d
Pointer cast constructor.
double_dilation2d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dilation2d
Native array allocator.
double_dilation2d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dilation2d
 
double_divide(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_divide
Pointer cast constructor.
double_divide(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_divide
Native array allocator.
double_divide() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_divide
 
double_divide_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_divide_bp
Pointer cast constructor.
double_divide_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_divide_bp
Native array allocator.
double_divide_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_divide_bp
 
double_dropout(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dropout
Pointer cast constructor.
double_dropout(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dropout
Native array allocator.
double_dropout() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dropout
 
double_dynamic_bidirectional_rnn(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_bidirectional_rnn
Pointer cast constructor.
double_dynamic_bidirectional_rnn(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_bidirectional_rnn
Native array allocator.
double_dynamic_bidirectional_rnn() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_bidirectional_rnn
 
double_dynamic_partition(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_partition
Pointer cast constructor.
double_dynamic_partition(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_partition
Native array allocator.
double_dynamic_partition() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_partition
 
double_dynamic_rnn(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_rnn
Pointer cast constructor.
double_dynamic_rnn(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_rnn
Native array allocator.
double_dynamic_rnn() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_rnn
 
double_dynamic_stitch(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_stitch
Pointer cast constructor.
double_dynamic_stitch(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_stitch
Native array allocator.
double_dynamic_stitch() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_dynamic_stitch
 
double_elu(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_elu
Pointer cast constructor.
double_elu(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_elu
Native array allocator.
double_elu() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_elu
 
double_elu_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_elu_bp
Pointer cast constructor.
double_elu_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_elu_bp
Native array allocator.
double_elu_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_elu_bp
 
double_embedding_lookup(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_embedding_lookup
Pointer cast constructor.
double_embedding_lookup(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_embedding_lookup
Native array allocator.
double_embedding_lookup() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_embedding_lookup
 
double_eq_scalar(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_eq_scalar
Pointer cast constructor.
double_eq_scalar(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_eq_scalar
Native array allocator.
double_eq_scalar() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_eq_scalar
 
double_equals(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_equals
Pointer cast constructor.
double_equals(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_equals
Native array allocator.
double_equals() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_equals
 
double_expand_dims(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_expand_dims
Pointer cast constructor.
double_expand_dims(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_expand_dims
Native array allocator.
double_expand_dims() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_expand_dims
 
double_expose(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_expose
Pointer cast constructor.
double_expose(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_expose
Native array allocator.
double_expose() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_expose
 
double_extract_image_patches(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_extract_image_patches
Pointer cast constructor.
double_extract_image_patches(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_extract_image_patches
Native array allocator.
double_extract_image_patches() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_extract_image_patches
 
double_eye(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_eye
Pointer cast constructor.
double_eye(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_eye
Native array allocator.
double_eye() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_eye
 
double_fill(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fill
Pointer cast constructor.
double_fill(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fill
Native array allocator.
double_fill() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fill
 
double_fill_as(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fill_as
Pointer cast constructor.
double_fill_as(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fill_as
Native array allocator.
double_fill_as() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fill_as
 
double_firas_sparse(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_firas_sparse
Pointer cast constructor.
double_firas_sparse(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_firas_sparse
Native array allocator.
double_firas_sparse() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_firas_sparse
 
double_Floor(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_Floor
Pointer cast constructor.
double_Floor(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_Floor
Native array allocator.
double_Floor() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_Floor
 
double_floordiv(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floordiv
Pointer cast constructor.
double_floordiv(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floordiv
Native array allocator.
double_floordiv() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floordiv
 
double_floordiv_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floordiv_bp
Pointer cast constructor.
double_floordiv_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floordiv_bp
Native array allocator.
double_floordiv_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floordiv_bp
 
double_floormod(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floormod
Pointer cast constructor.
double_floormod(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floormod
Native array allocator.
double_floormod() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floormod
 
double_floormod_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floormod_bp
Pointer cast constructor.
double_floormod_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floormod_bp
Native array allocator.
double_floormod_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_floormod_bp
 
double_fullconv3d(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d
Pointer cast constructor.
double_fullconv3d(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d
Native array allocator.
double_fullconv3d() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d
 
double_fullconv3d_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d_bp
Pointer cast constructor.
double_fullconv3d_bp(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d_bp
Native array allocator.
double_fullconv3d_bp() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d_bp
 
double_fullconv3d_grad(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d_grad
Pointer cast constructor.
double_fullconv3d_grad(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d_grad
Native array allocator.
double_fullconv3d_grad() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fullconv3d_grad
 
double_fused_batch_norm(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fused_batch_norm
Pointer cast constructor.
double_fused_batch_norm(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fused_batch_norm
Native array allocator.
double_fused_batch_norm() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_fused_batch_norm
 
double_gather(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather
Pointer cast constructor.
double_gather(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather
Native array allocator.
double_gather() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather
 
double_gather_list(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather_list
Pointer cast constructor.
double_gather_list(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather_list
Native array allocator.
double_gather_list() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather_list
 
double_gather_nd(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather_nd
Pointer cast constructor.
double_gather_nd(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather_nd
Native array allocator.
double_gather_nd() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gather_nd
 
double_get_seed(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_get_seed
Pointer cast constructor.
double_get_seed(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_get_seed
Native array allocator.
double_get_seed() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_get_seed
 
double_greater(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_greater
Pointer cast constructor.
double_greater(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_greater
Native array allocator.
double_greater() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_greater
 
double_greater_equal(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_greater_equal
Pointer cast constructor.
double_greater_equal(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_greater_equal
Native array allocator.
double_greater_equal() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_greater_equal
 
double_gru(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gru
Pointer cast constructor.
double_gru(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gru
Native array allocator.
double_gru() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gru
 
double_gruCell(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gruCell
Pointer cast constructor.
double_gruCell(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gruCell
Native array allocator.
double_gruCell() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gruCell
 
double_gt_scalar(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gt_scalar
Pointer cast constructor.
double_gt_scalar(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gt_scalar
Native array allocator.
double_gt_scalar() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gt_scalar
 
double_gte_scalar(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gte_scalar
Pointer cast constructor.
double_gte_scalar(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gte_scalar
Native array allocator.
double_gte_scalar() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_gte_scalar
 
double_hardsigmoid(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_hardsigmoid
Pointer cast constructor.
double_hardsigmoid(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_hardsigmoid
Native array allocator.
double_hardsigmoid() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_hardsigmoid
 
double_hardsigmoid_bp(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.double_hardsigmoid_bp
Pointer cast constructor.</