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N

n(double) - Method in class org.deeplearning4j.arbiter.layers.LocalResponseNormalizationLayerSpace.Builder
 
n(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.LocalResponseNormalizationLayerSpace.Builder
 
n(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
Number of adjacent kernel maps to use when doing LRN.
n - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
n - Variable in class org.nd4j.linalg.api.ops.BaseOp
 
n() - Method in class org.nd4j.linalg.api.ops.BaseOp
 
N - Variable in class org.nd4j.linalg.api.ops.impl.accum.BatchMmul
 
n() - Method in interface org.nd4j.linalg.api.ops.Op
The number of elements to do a op over
N_GRAMS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
Nadam - Class in org.nd4j.linalg.learning.config
Setup and DynamicCustomOpsBuilder for Nadam updater.
Nadam() - Constructor for class org.nd4j.linalg.learning.config.Nadam
 
Nadam(double) - Constructor for class org.nd4j.linalg.learning.config.Nadam
 
Nadam(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Nadam
 
Nadam(double, double, double, double) - Constructor for class org.nd4j.linalg.learning.config.Nadam
 
Nadam.Builder - Class in org.nd4j.linalg.learning.config
 
NadamSpace - Class in org.deeplearning4j.arbiter.conf.updater
 
NadamSpace(ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.NadamSpace
 
NadamSpace(ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.NadamSpace
 
NadamSpace(ParameterSpace<Double>, ParameterSpace<ISchedule>, ParameterSpace<Double>, ParameterSpace<Double>, ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.NadamSpace
 
NadamUpdater - Class in org.nd4j.linalg.learning
The Nadam updater.
NadamUpdater(Nadam) - Constructor for class org.nd4j.linalg.learning.NadamUpdater
 
naiveExec(Accumulation, int...) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
name - Variable in class org.ansj.app.crf.pojo.Element
 
name - Variable in class org.datavec.api.transform.metadata.BaseColumnMetaData
 
name(String) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
Layer name assigns layer string name.
name(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
name(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
name() - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction
 
name() - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticLoss
 
name(int) - Static method in class org.nd4j.graph.ByteOrder
 
name(int) - Static method in class org.nd4j.graph.DataType
 
name(int) - Static method in class org.nd4j.graph.Direction
 
name(int) - Static method in class org.nd4j.graph.ExecutionMode
 
name() - Method in class org.nd4j.graph.FlatNode
 
name() - Method in class org.nd4j.graph.FlatProperties
 
name() - Method in class org.nd4j.graph.FlatTiming
 
name() - Method in class org.nd4j.graph.FlatVariable
 
name(int) - Static method in class org.nd4j.graph.InputType
 
name(int) - Static method in class org.nd4j.graph.OpClass
 
name(int) - Static method in class org.nd4j.graph.OutputMode
 
name(int) - Static method in class org.nd4j.graph.ProfilingMode
 
name() - Method in interface org.nd4j.linalg.api.ops.aggregates.Aggregate
 
name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateAxpy
 
name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateCBOW
 
name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateDot
 
name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateGEMM
 
name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.AggregateSkipGram
 
name() - Method in class org.nd4j.linalg.api.ops.aggregates.impl.HierarchicSoftmax
 
name() - Method in interface org.nd4j.linalg.lossfunctions.ILossFunction
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossBinaryXENT
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossCosineProximity
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossFMeasure
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossHinge
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossKLD
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL1
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossL2
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAE
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMAPE
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMCXENT
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSE
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMSLE
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMultiLabel
 
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossNegativeLogLikelihood
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossPoisson
The opName of this function
name() - Method in class org.nd4j.linalg.lossfunctions.impl.LossSquaredHinge
The opName of this function
name() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayList
 
name() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayList
 
name() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayList
 
name() - Method in class org.nd4j.nativeblas.Nd4jCpu.NodeProfile
 
name() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayList
 
name() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayList
 
name() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayList
 
name() - Method in class org.nd4j.nativeblas.Nd4jCuda.NodeProfile
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.AttributeProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.GraphProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.NodeProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.ValueInfoProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.AttributeProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.GraphProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.NodeProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
NAME_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.ValueInfoProto
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Arg
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Attr
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ApiDef.Endpoint
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.CostGraphDef.Node
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.DeviceAttributes
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.KernelDef.AttrConstraint
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NameAttrList
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.NodeDef
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.ArgDef
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef.AttrDef
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.OpDef
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.ResourceHandleProto
 
NAME_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto.Dim
 
NAME_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
 
NAME_FIELD_NUMBER - Static variable in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
NAME_SPACE - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
NAME_SPACE - Static variable in interface org.datavec.api.records.reader.RecordReader
 
NAME_SPACE - Static variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
NAME_SPACE - Static variable in class org.datavec.codec.reader.BaseCodecRecordReader
 
NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
nameAmbiguity(Term[], Forest...) - Static method in class org.ansj.util.NameFix
人名消歧,比如.邓颖超生前->邓颖 超生 前 fix to 丁颖超 生 前! 规则的方式增加如果两个人名之间连接是- , ·,•则连接
nameAsByteBuffer() - Method in class org.nd4j.graph.FlatNode
 
nameAsByteBuffer() - Method in class org.nd4j.graph.FlatProperties
 
nameAsByteBuffer() - Method in class org.nd4j.graph.FlatTiming
 
nameAsByteBuffer() - Method in class org.nd4j.graph.FlatVariable
 
NameAttrList - Class in org.tensorflow.framework
A list of attr names and their values.
NameAttrList.Builder - Class in org.tensorflow.framework
A list of attr names and their values.
NameAttrListOrBuilder - Interface in org.tensorflow.framework
 
nameExistsInPath(String) - Static method in class org.nd4j.linalg.util.Paths
Check if a file exists in the path
NameFix - Class in org.ansj.util
 
NameFix() - Constructor for class org.ansj.util.NameFix
 
nameIndexForGraph(GRAPH_TYPE) - Method in class org.nd4j.imports.graphmapper.BaseGraphMapper
 
nameIndexForGraph(GRAPH_TYPE) - Method in interface org.nd4j.imports.graphmapper.GraphMapper
 
nameLayer(String, String, int) - Static method in class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
 
nameProvider(SystemPolling.NameProvider) - Method in class org.deeplearning4j.perf.listener.SystemPolling.Builder
The name provider for this SystemPolling the default value for this is a simple UUID
names - Static variable in class org.nd4j.graph.ByteOrder
 
names - Static variable in class org.nd4j.graph.DataType
 
names - Static variable in class org.nd4j.graph.Direction
 
names - Static variable in class org.nd4j.graph.ExecutionMode
 
names - Static variable in class org.nd4j.graph.InputType
 
names - Static variable in class org.nd4j.graph.OpClass
 
names - Static variable in class org.nd4j.graph.OutputMode
 
names - Static variable in class org.nd4j.graph.ProfilingMode
 
nameStr() - Method in class org.ansj.app.crf.pojo.Element
获得可见的名称
NAN_PANIC - Static variable in class org.nd4j.graph.ProfilingMode
 
NAN_REPLACEMENT_VALUE - Static variable in class org.deeplearning4j.ui.module.train.TrainModule
 
NaNColumnCondition - Class in org.datavec.api.transform.condition.column
A column condition that simply checks whether a floating point value is NaN
NaNColumnCondition(String) - Constructor for class org.datavec.api.transform.condition.column.NaNColumnCondition
 
NaNColumnCondition(String, SequenceConditionMode) - Constructor for class org.datavec.api.transform.condition.column.NaNColumnCondition
 
NanosecondsProvider - Class in org.nd4j.jita.allocator.time.providers
 
NanosecondsProvider() - Constructor for class org.nd4j.jita.allocator.time.providers.NanosecondsProvider
 
NASNet - Class in org.deeplearning4j.zoo.model
U-Net Implementation of NASNet-A in Deeplearning4j.
NASNetHelper - Class in org.deeplearning4j.zoo.model.helper
Layer helpers NASNet.
NASNetHelper() - Constructor for class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
NATIVE_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
 
NativeAudioRecordReader - Class in org.datavec.audio.recordreader
Native audio file loader using FFmpeg.
NativeAudioRecordReader() - Constructor for class org.datavec.audio.recordreader.NativeAudioRecordReader
 
NativeAudioRecordReader(boolean, List<String>) - Constructor for class org.datavec.audio.recordreader.NativeAudioRecordReader
 
NativeAudioRecordReader(List<String>) - Constructor for class org.datavec.audio.recordreader.NativeAudioRecordReader
 
NativeAudioRecordReader(boolean) - Constructor for class org.datavec.audio.recordreader.NativeAudioRecordReader
 
NativeCodecRecordReader - Class in org.datavec.codec.reader
An implementation of the CodecRecordReader that uses JavaCV and FFmpeg.
NativeCodecRecordReader() - Constructor for class org.datavec.codec.reader.NativeCodecRecordReader
 
NativeGraphExecutioner - Class in org.nd4j.autodiff.execution
 
NativeGraphExecutioner() - Constructor for class org.nd4j.autodiff.execution.NativeGraphExecutioner
 
NativeImageLoader - Class in org.datavec.image.loader
Uses JavaCV to load images.
NativeImageLoader() - Constructor for class org.datavec.image.loader.NativeImageLoader
Loads images with no scaling or conversion.
NativeImageLoader(long, long) - Constructor for class org.datavec.image.loader.NativeImageLoader
Instantiate an image with the given height and width
NativeImageLoader(long, long, long) - Constructor for class org.datavec.image.loader.NativeImageLoader
Instantiate an image with the given height and width
NativeImageLoader(long, long, long, boolean) - Constructor for class org.datavec.image.loader.NativeImageLoader
Instantiate an image with the given height and width
NativeImageLoader(long, long, long, ImageTransform) - Constructor for class org.datavec.image.loader.NativeImageLoader
Instantiate an image with the given height and width
NativeImageLoader(long, long, long, BaseImageLoader.MultiPageMode) - Constructor for class org.datavec.image.loader.NativeImageLoader
Instantiate an image with the given height and width
NativeImageLoader(NativeImageLoader) - Constructor for class org.datavec.image.loader.NativeImageLoader
 
NativeLapack - Class in org.nd4j.nativeblas
Created by agibsonccc on 2/20/16.
NativeLapack() - Constructor for class org.nd4j.nativeblas.NativeLapack
 
NativeOpExecutioner - Class in org.nd4j.linalg.cpu.nativecpu.ops
Native operation executioner in c++
NativeOpExecutioner() - Constructor for class org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
 
nativeOps - Variable in class org.nd4j.jita.allocator.context.impl.BasicContextPool
 
nativeOps - Static variable in class org.nd4j.jita.allocator.impl.AllocationPoint
 
nativeOps - Variable in class org.nd4j.jita.allocator.tad.BasicTADManager
 
nativeOps - Variable in class org.nd4j.jita.flow.impl.AsynchronousFlowController
Deprecated.
 
nativeOps - Variable in class org.nd4j.jita.flow.impl.SynchronousFlowController
 
nativeOps - Variable in class org.nd4j.jita.handler.impl.CudaZeroHandler
 
nativeOps - Variable in class org.nd4j.jita.memory.impl.CudaDirectProvider
 
nativeOps - Static variable in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
nativeOps - Variable in class org.nd4j.nativeblas.BaseNativeNDArrayFactory
 
NativeOps - Class in org.nd4j.nativeblas
Native interface for op execution on cpu
NativeOps(Pointer) - Constructor for class org.nd4j.nativeblas.NativeOps
 
NativeOps() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NativeOps
Default native constructor.
NativeOps(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NativeOps
Native array allocator.
NativeOps(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NativeOps
Pointer cast constructor.
NativeOps() - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NativeOps
Default native constructor.
NativeOps(long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NativeOps
Native array allocator.
NativeOps(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NativeOps
Pointer cast constructor.
nativeOps - Variable in class org.nd4j.rng.NativeRandom
 
NativeOpsHolder - Class in org.nd4j.nativeblas
 
NativePack - Class in org.nd4j.rng.deallocator
Simple wrapper for state pointer, to avoid enqueue of non-initialized objects
NativePack() - Constructor for class org.nd4j.rng.deallocator.NativePack
 
NativeRandom - Class in org.nd4j.rng
Basic NativeRandom implementation
NativeRandom() - Constructor for class org.nd4j.rng.NativeRandom
 
NativeRandom(long) - Constructor for class org.nd4j.rng.NativeRandom
 
NativeRandom(long, long) - Constructor for class org.nd4j.rng.NativeRandom
 
NativeRandomDeallocator - Class in org.nd4j.rng.deallocator
Since NativeRandom assumes some native resources, we have to track their use, and deallocate them as soon they are released by JVM GC
NativeRandomDeallocator.DeallocatorThread - Class in org.nd4j.rng.deallocator
This class provides garbage collection for NativeRandom state memory.
natrue() - Method in class org.ansj.domain.Term
获得这个词的词性.词性计算后才可生效
nature - Variable in class org.ansj.app.crf.pojo.Element
 
Nature - Class in org.ansj.domain
这里面封装了一些基本的词性.
Nature(String, int, int, int) - Constructor for class org.ansj.domain.Nature
 
Nature(String) - Constructor for class org.ansj.domain.Nature
 
nature - Variable in class org.ansj.domain.TermNature
 
nature - Variable in class org.ansj.domain.TermNatures
默认词性
natureIndex - Variable in class org.ansj.domain.Nature
 
NatureLibrary - Class in org.ansj.library
这里封装了词性和词性之间的关系.以及词性的索引.这是个好东西.
NatureLibrary() - Constructor for class org.ansj.library.NatureLibrary
 
NatureRecognition - Class in org.ansj.recognition.impl
词性标注工具类
NatureRecognition() - Constructor for class org.ansj.recognition.impl.NatureRecognition
 
NatureRecognition(Forest...) - Constructor for class org.ansj.recognition.impl.NatureRecognition
 
NatureRecognition.NatureTerm - Class in org.ansj.recognition.impl
关于这个term的词性
natureStr - Variable in class org.ansj.domain.Nature
 
NatureTerm(TermNature) - Constructor for class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
nBins() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBins(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
nBinsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
nBinsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
nBinsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
nchw - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
 
nchw - Variable in class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
 
Nd4j - Class in org.nd4j.linalg.factory
Creation of ndarrays via classpath discovery.
Nd4j() - Constructor for class org.nd4j.linalg.factory.Nd4j
 
Nd4j.PadMode - Enum in org.nd4j.linalg.factory
 
ND4J_CPU_LOAD_OPENBLAS - Static variable in class org.nd4j.config.ND4JSystemProperties
Applicability: nd4j-native backend, when multiple BLAS libraries are available
Description: This system property can be used to control which BLAS library is loaded and used by ND4J.
ND4J_CPU_LOAD_OPENBLAS_NOLAPACK - Static variable in class org.nd4j.config.ND4JSystemProperties
Applicability: nd4j-native backend, when multiple BLAS libraries are available
Description: This system property can be used to control which BLAS library is loaded and used by ND4J.
ND4J_CUDA_FORCE_SINGLE_GPU - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx used on multi-GPU systems
Description: If set, only a single GPU will be used by ND4J, even if multiple GPUs are available in the system
ND4J_CUDA_MAX_BLOCK_SIZE - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx
Description:
ND4J_CUDA_MAX_DEVICE_ALLOCATION - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx
Description:
ND4J_CUDA_MAX_DEVICE_CACHE - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx
Description:
ND4J_CUDA_MAX_GRID_SIZE - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx
Description:
ND4J_CUDA_MAX_HOST_CACHE - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx
Description:
ND4J_CUDA_MIN_BLOCK_SIZE - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx
Description:
ND4J_CUDA_USE_PREALLOCATION - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx
Description:
ND4J_FALLBACK - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-native backend
Description: Whether build-in BLAS matrix multiplication (GEMM) should be used instead of the native BLAS library such as MKL or OpenBLAS.
ND4j_JDBC_PROPERTIES - Static variable in class org.nd4j.jdbc.driverfinder.DriverFinder
 
ND4J_SKIP_BLAS_THREADS - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-native backend
Description: Skips the setting of the ND4JEnvironmentVars.OMP_NUM_THREADS property for ND4J ops.
ND4JArraySizeException - Exception in org.nd4j.linalg.exception
This exception is thrown once if INDArray length exceeds Integer.MAX_VALUE
ND4JArraySizeException() - Constructor for exception org.nd4j.linalg.exception.ND4JArraySizeException
 
Nd4jBackend - Class in org.nd4j.linalg.factory
An ND4j backend.
Nd4jBackend() - Constructor for class org.nd4j.linalg.factory.Nd4jBackend
 
Nd4jBackend.NoAvailableBackendException - Exception in org.nd4j.linalg.factory
 
Nd4jBase64 - Class in org.nd4j.serde.base64
NDArray as base 64
Nd4jBlas - Class in org.nd4j.nativeblas
CBlas bindings Original credit: https://github.com/uncomplicate/neanderthal-atlas
Nd4jBlas() - Constructor for class org.nd4j.nativeblas.Nd4jBlas
 
Nd4jContext - Class in org.nd4j.context
Holds properties for nd4j to be used across different modules
Nd4jCpu - Class in org.nd4j.nativeblas
 
Nd4jCpu() - Constructor for class org.nd4j.nativeblas.Nd4jCpu
 
Nd4jCpu._loader - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.ArgumentsList - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.CurrentIndexing - Class in org.nd4j.nativeblas
Indexing information for bounds checking
Nd4jCpu.double_absolute_difference_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_add - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_add_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_adjust_hue - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_adjust_saturation - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_apply_sgd - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_argmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_argmin - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_assign - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_assign_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_avgpool2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_avgpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_avgpool3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_avgpool3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_avgpool3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_avgpool3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_axpy - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_batch_to_space - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_batched_gemm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_batchnorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_batchnorm_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_betainc - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_biasadd - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_biasadd_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_bincount - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_boolean_and - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_boolean_or - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_broadcast_dynamic_shape - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_broadcastgradientargs - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cast - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_choose - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_clip_by_global_norm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_clipbyavgnorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_clipbynorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_clipbynorm_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_clipbyvalue - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_clone_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_col2im - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_concat - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_concat_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_Conditional - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_confusion_matrix - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv1d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv1d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv2d_input_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_conv3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cosine_distance_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_create_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_crelu - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_crelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cross - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cube - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cube_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cumprod - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cumprod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cumsum - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_cumsum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_deconv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_deconv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_deconv2d_tf - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_depth_to_space - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_depthwise_conv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_depthwise_conv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_diag - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_diag_part - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_dilation2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_divide - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_divide_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_dropout - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_dynamic_bidirectional_rnn - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_dynamic_partition - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_dynamic_rnn - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_dynamic_stitch - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_elu - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_elu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_embedding_lookup - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_eq_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_equals - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_expand_dims - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_expose - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_extract_image_patches - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_eye - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_fill - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_fill_as - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_firas_sparse - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_Floor - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_floordiv - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_floordiv_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_floormod - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_floormod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_fullconv3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_fullconv3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_fullconv3d_grad - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_fused_batch_norm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_gather - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_gather_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_gather_nd - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_get_seed - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_greater - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_greater_equal - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_gru - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_gruCell - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_gt_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_gte_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_hardsigmoid - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_hardsigmoid_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_hardtanh - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_hardtanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_hinge_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_huber_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_identity - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_identity_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_im2col - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_im2col_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_in_top_k - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_invert_permutation - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_is_non_decreasing - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_is_numeric_tensor - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_is_strictly_increasing - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_ismax - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_l2_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_less - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_less_equal - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_listdiff - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_Log1p - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_log_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_log_poison_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_log_softmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_log_softmax_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lrelu - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lrelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lrn - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lrn_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lrn_old - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lstm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lstmCell - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lt_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_lte_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_matmul - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_matrix_determinant - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_matrix_diag - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_matrix_diag_part - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_matrix_inverse - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_matrix_set_diag - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_max_pool_with_argmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_maximum - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_maximum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_maxpool2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_maxpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_maxpool3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_maxpool3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_maxpool3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_maxpool3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mean_pairwssqerr_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mean_sqerr_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mergeadd - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mergeavg - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mergemax - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mergemaxindex - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_meshgrid - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_minimum - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_minimum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mirror_pad - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mod - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_mod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_moments - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_multiply - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_multiply_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_neq_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_noop - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_norm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_normalize_moments - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_not_equals - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_onehot - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_ones_as - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_order - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_pad - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_parallel_stack - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_percentile - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_permute - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_pick_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_pnormpool2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_pnormpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_pointwise_conv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_polygamma - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_pooling2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_prelu - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_prelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_random_bernoulli - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_random_crop - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_random_exponential - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_random_normal - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_random_shuffle - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_randomuniform - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_range - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_rank - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_rationaltanh - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_rationaltanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_read_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_realdiv - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_realdiv_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_rectifiedtanh - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_rectifiedtanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_dot_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_max - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_max_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_mean - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_mean_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_min - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_min_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_norm1 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_norm1_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_norm2 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_norm2_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_norm_max - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_norm_max_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_prod - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_prod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_sqnorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_sqnorm_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_stdev - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_stdev_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_sum - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_sum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_variance - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reduce_variance_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_relu - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_relu6 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_relu6_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_relu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_relu_layer - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_repeat - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reshape - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reshapeas - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_Return - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reverse - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reverse_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reverse_sequence - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reversedivide - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reversedivide_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reversemod - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reversemod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reversesubtract - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_reversesubtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_rint - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_roll - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_add - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_div - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_max - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_min - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_mul - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_sub - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_upd - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_scatter_update - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sconv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sconv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_Scope - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_segment_max - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_segment_mean - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_segment_min - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_segment_prod - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_segment_sum - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_select - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_selu - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_selu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sequence_mask - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_set_seed - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_shape_of - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_shapes_of - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sigm_cross_entropy_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sigmoid - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sigmoid_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_size - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_size_at - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_size_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_slice - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_slice_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_softmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_softmax_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_softmax_cross_entropy_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_softmax_cross_entropy_loss_with_logits - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_softplus - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_softplus_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_softsign - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_softsign_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_space_to_batch - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_space_to_depth - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_split - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_split_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_split_v - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_square - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_squaredsubtract - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_squaredsubtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_squeeze - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sru - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sru_bi - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sru_bi_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sru_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sru_bp_logic - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sru_logic - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sru_old - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sruCell - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_stack - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_stack_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_static_bidirectional_rnn - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_static_rnn - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_stop_gradient - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_strided_slice - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_strided_slice_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_subtract - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_subtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_sufficient_statistics - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_svd - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_Switch - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tanh - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tear - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tensormmul - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_test_output_reshape - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_test_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_testcustom - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_testop2i2o - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_testreduction - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tf_atan2 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_thresholdedrelu - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_thresholdedrelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tile - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tile_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tile_to_shape - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tile_to_shape_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_to_double - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_to_float16 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_to_float32 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_to_int32 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_to_int64 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_to_uint32 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_to_uint64 - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_toggle_bits - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_top_k - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_trace - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_transpose - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_tri - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_triu - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_triu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_truncatediv - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_unique - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_unique_with_counts - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_unstack - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_unstack_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_upsampling2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_upsampling2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_upsampling3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_upsampling3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_weighted_cross_entropy_with_logits - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_Where - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_where_np - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_While - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_write_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_xw_plus_b - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_zero_fraction - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_zeros_as - Class in org.nd4j.nativeblas
 
Nd4jCpu.double_zeta - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleBooleanOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleBroadcastableOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleContext - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleContextPrototype - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleDeclarableCustomOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleDeclarableListOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleDeclarableOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleDeclarableReductionOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleGraphState - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleLogicOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleNDArray - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleNDArrayList - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleNDArrayVector - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleNDArrayVector.Iterator - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleOpArgsHolder - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleResultSet - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleStash - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleVariable - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleVariableSpace - Class in org.nd4j.nativeblas
 
Nd4jCpu.DoubleVariablesSet - Class in org.nd4j.nativeblas
 
Nd4jCpu.ExternalWorkspace - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.float_absolute_difference_loss - Class in org.nd4j.nativeblas
Implementation of Absolute Difference loss function |predictions - labels| Input arrays: 0: predictions - the predicted values, type float.
Nd4jCpu.float_add - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_add_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_adjust_hue - Class in org.nd4j.nativeblas
This operation adjusts image hue by delta Input arrays: 0 - 1D or 3D input array, must have 3 channels.
Nd4jCpu.float_adjust_saturation - Class in org.nd4j.nativeblas
This operation adjusts image saturation by delta Input arrays: 0 - 1D or 3D input array, must have 3 channels.
Nd4jCpu.float_apply_sgd - Class in org.nd4j.nativeblas
This operation updates parameters with provided gradients, wrt learning rate Expected arguments: x: parameters, any shape y: gradients.
Nd4jCpu.float_argmax - Class in org.nd4j.nativeblas
This operation returns index of max element in a given NDArray (optionally: along given dimension(s)) Expected input: 0: N-dimensional array 1: optional axis vector Int args: 0: optional axis
Nd4jCpu.float_argmin - Class in org.nd4j.nativeblas
This operation returns index of min element in a given NDArray (optionally: along given dimension(s)) Expected input: 0: N-dimensional array 1: optional axis vector Int args: 0: optional axis
Nd4jCpu.float_assign - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_assign_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_avgpool2d - Class in org.nd4j.nativeblas
This op implements average pooling for convolution networks.
Nd4jCpu.float_avgpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_avgpool3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_avgpool3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_avgpool3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_avgpool3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_axpy - Class in org.nd4j.nativeblas
This op is simple implementation of BLAS AXPY method.
Nd4jCpu.float_batch_to_space - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_batched_gemm - Class in org.nd4j.nativeblas
This operation implements batched matrix multiplication Expected arguments: alpha: vector of T beta: vector of T ...: A, B matrices sequentially.
Nd4jCpu.float_batchnorm - Class in org.nd4j.nativeblas
Batch normalization implementation.
Nd4jCpu.float_batchnorm_bp - Class in org.nd4j.nativeblas
back prop in batch normalization Expected arguments: input: input array (any number of dimensions) mean: variance: gamma: optional beta: optional dLdOut: next epsilon Int args: 0: apply scale 1: apply offset T args: 0: epsilon output arrays: dL/dInput dL/dMean dL/dVariance dL/dGamma dL/dBeta
Nd4jCpu.float_betainc - Class in org.nd4j.nativeblas
This op calculates regularized incomplete beta integral Ix(a, b).
Nd4jCpu.float_biasadd - Class in org.nd4j.nativeblas
This operation is added for compatibility purposes mostly.
Nd4jCpu.float_biasadd_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_bincount - Class in org.nd4j.nativeblas
bincount operation return a vector with element counted.
Nd4jCpu.float_boolean_and - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_boolean_or - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_broadcast_dynamic_shape - Class in org.nd4j.nativeblas
broadcast_dynamic_shape op.
Nd4jCpu.float_broadcastgradientargs - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_cast - Class in org.nd4j.nativeblas
This operation casts elements of input array to specified data type PLEASE NOTE: This op is disabled atm, and reserved for future releases.
Nd4jCpu.float_choose - Class in org.nd4j.nativeblas
This op takes either 1 argument and 1 scalar or 1 argument and another comparison array and runs a pre defined conditional op.
Nd4jCpu.float_clip_by_global_norm - Class in org.nd4j.nativeblas
clip a list of given tensors with given average norm when needed Input: a list of tensors (at least one) Input floating point argument: clip_norm - a value that used as threshold value and norm to be used return a list of clipped tensors and global_norm as scalar tensor at the end
Nd4jCpu.float_clipbyavgnorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_clipbynorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_clipbynorm_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_clipbyvalue - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.float_clone_list - Class in org.nd4j.nativeblas
This operation clones given NDArrayList
Nd4jCpu.float_col2im - Class in org.nd4j.nativeblas
This op implements col2im algorithm, widely used in convolution neural networks Input: 6D input expected (like output of im2col op) Int args: 0: stride height 1: stride width 2: padding height 3: padding width 4: image height 5: image width 6: dilation height 7: dilation width
Nd4jCpu.float_concat - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_concat_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_Conditional - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_confusion_matrix - Class in org.nd4j.nativeblas
This operation calculate the confusion matrix for a pair of prediction and label 1-D arrays.
Nd4jCpu.float_conv1d - Class in org.nd4j.nativeblas
1D temporal convolution implementation Expected input: x: 3D array weight: 3D Array bias: optional vector Int args: 0: kernel 1: stride 2: padding
Nd4jCpu.float_conv1d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_conv2d - Class in org.nd4j.nativeblas
2D convolution implementation Expected input: x: 4D array weight: 4D Array bias: optional vector, length of outputChannels IntArgs: 0: kernel height 1: kernel width 2: stride height 3: stride width 4: padding height 5: padding width 6: dilation height 7: dilation width 8: same mode: 1 true, 0 false 9: data format: 1 NHWC, 0 NCHW
Nd4jCpu.float_conv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_conv2d_input_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_conv3d - Class in org.nd4j.nativeblas
3D convolution implementation IntArgs: 0: dilation T 1: dilation W 2: dilation H 4: padding T 5: padding W 6: padding H
Nd4jCpu.float_conv3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_conv3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_conv3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_cosine_distance_loss - Class in org.nd4j.nativeblas
Implementation of cosine-distance loss function 1.
Nd4jCpu.float_create_list - Class in org.nd4j.nativeblas
This operation creates new empty NDArrayList
Nd4jCpu.float_crelu - Class in org.nd4j.nativeblas
This is Concatenated RELU implementation.
Nd4jCpu.float_crelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_cross - Class in org.nd4j.nativeblas
This op calculates cross-product between input arguments Input arguments 0 - vector or tensor A 1 - vector or tensor B
Nd4jCpu.float_cube - Class in org.nd4j.nativeblas
This is Cube activation function.
Nd4jCpu.float_cube_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_cumprod - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_cumprod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_cumsum - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_cumsum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_deconv2d - Class in org.nd4j.nativeblas
2D deconvolution implementation IntArgs: 0: kernel height 1: kernel width 2: stride height 3: stride width 4: padding height 5: padding width 6: dilation height 7: dilation width 8: same mode: 0 false, 1 true
Nd4jCpu.float_deconv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_deconv2d_tf - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_depth_to_space - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_depthwise_conv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_depthwise_conv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_diag - Class in org.nd4j.nativeblas
Returns a diagonal tensor with a given diagonal values.
Nd4jCpu.float_diag_part - Class in org.nd4j.nativeblas
Returns a diagonal tensor with a given diagonal values.
Nd4jCpu.float_dilation2d - Class in org.nd4j.nativeblas
Dilation2D op Int args: 0: isSameMode
Nd4jCpu.float_divide - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_divide_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_dropout - Class in org.nd4j.nativeblas
This op calculates weighted logarithmic loss of input Input arguments 0 - input tensor 1 - noise_shape - (vector with shape to reduce) - optional int parameter - seed for random numbers T parameter - probability (should be between 0 and 1) return value - a tensor with the same shape as target or input
Nd4jCpu.float_dynamic_bidirectional_rnn - Class in org.nd4j.nativeblas
Implementation of operation "static RNN time sequences" with peep hole connections: Input arrays: 0: input with shape [time x batchSize x inSize] or [batchSize x time x inSize], time - number of time steps, batchSize - batch size, inSize - number of features 1: input-to-hidden weights for forward RNN, [inSize x numUnitsFW] 2: hidden-to-hidden weights for forward RNN, [numUnitsFW x numUnitsFW] 3: biases for forward RNN, [2*numUnitsFW] 4: input-to-hidden weights for backward RNN, [inSize x numUnitsBW] 5: hidden-to-hidden weights for backward RNN, [numUnitsBW x numUnitsBW] 6: biases for backward RNN, [2*numUnitsBW] 7: (optional) initial cell output for forward RNN [batchSize x numUnitsFW], that is at time step = 0 8: (optional) initial cell output for backward RNN [batchSize x numUnitsBW], that is at time step = 0 9: (optional) vector with shape [batchSize] containing integer values within [0,time), each element of this vector set max time step per each input in batch, this provides no calculations for time >= maxTimeStep Input integer arguments: 0: (optional) timeMajor - if non zero then input shape is [time, batchSize, ...], else [batchSize, time, ...] Output arrays: 0: cell outputs for forward RNN [time x batchSize x numUnitsFW] or [batchSize x time x numUnitsFW] 1: cell outputs for backward RNN [time x batchSize x numUnitsBW] or [batchSize x time x numUnitsBW] 2: cell final non-zero output for forward RNN [batchSize x numUnitsFW] 3: cell final non-zero output for backward RNN [batchSize x numUnitsBW]
Nd4jCpu.float_dynamic_partition - Class in org.nd4j.nativeblas
dynamic_partition - partition a input tensor onto num_partitions accordingly to index array given.
Nd4jCpu.float_dynamic_rnn - Class in org.nd4j.nativeblas
Implementation of operation "static RNN time sequences" with peep hole connections: Input arrays: 0: input with shape [time x batchSize x inSize] or [batchSize x time x numUnits], time - number of time steps, batchSize - batch size, inSize - number of features 1: input-to-hidden weights, [inSize x numUnits] 2: hidden-to-hidden weights, [numUnits x numUnits] 3: biases, [2*numUnits] 4: (optional) initial cell output [batchSize x numUnits], that is at time step = 0 5: (optional) vector with shape [batchSize] containing integer values within [0,time), each element of this vector set max time step per each input in batch, this provides no calculations for time >= maxTimeStep Input integer arguments: 0: (optional) timeMajor - if non zero then input shape is [time, batchSize, ...], else [batchSize, time, ...] Output arrays: 0: cell outputs [time x batchSize x numUnits] or [batchSize x time x numUnits] 1: cell final non-zero output [batchSize x numUnits]
Nd4jCpu.float_dynamic_stitch - Class in org.nd4j.nativeblas
dynamic_stitch - merge partitions from the second param a input tensor into a single tensor accordingly to index array given.
Nd4jCpu.float_elu - Class in org.nd4j.nativeblas
This op is ELU activation function.
Nd4jCpu.float_elu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_embedding_lookup - Class in org.nd4j.nativeblas
embedding_lookup - search for submatrices in given matrix and retunts them accordingly to index array given.
Nd4jCpu.float_eq_scalar - Class in org.nd4j.nativeblas
This is scalar boolean op.
Nd4jCpu.float_equals - Class in org.nd4j.nativeblas
This op takes 2 equally shaped arrays as input, and provides binary matrix as output.
Nd4jCpu.float_expand_dims - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_expose - Class in org.nd4j.nativeblas
This operations exposes given arguments as it's own outputs, but does it only once.
Nd4jCpu.float_extract_image_patches - Class in org.nd4j.nativeblas
extract_image_patches op - Extract patches from images and put them in the "depth" output dimension.
Nd4jCpu.float_eye - Class in org.nd4j.nativeblas
creates identity 2D matrix or batch of identical 2D identity matrices Input array: provide some array - in any case operation simply neglects it Input integer arguments: IArgs[0] - order of output identity matrix, 99 -> 'c'-order, 102 -> 'f'-order IArgs[1] - the number of rows in output inner-most 2D identity matrix IArgs[2] - optional, the number of columns in output inner-most 2D identity matrix, if this argument is not provided then it is taken to be equal to number of rows IArgs[3,4,...] - optional, shape of batch, output matrix will have leading batch dimensions of this shape
Nd4jCpu.float_fill - Class in org.nd4j.nativeblas
This operation takes shape as first argument, and returns new NDArray filled with specific scalar value.
Nd4jCpu.float_fill_as - Class in org.nd4j.nativeblas
This operation takes input's shape, and returns new NDArray filled with specified value Expected arguments: input: N-dimensional array T args: 0: scalar value, used to fill NDArray
Nd4jCpu.float_firas_sparse - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.float_Floor - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_floordiv - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_floordiv_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_floormod - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_floormod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_fullconv3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_fullconv3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_fullconv3d_grad - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_fused_batch_norm - Class in org.nd4j.nativeblas
This operation performs batch normalization of layer, it is based on following article http://arxiv.org/abs/1502.03167.
Nd4jCpu.float_gather - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_gather_list - Class in org.nd4j.nativeblas
This operation builds NDArray from NDArrayList using indices Expected arguments: x: non-empty list indices: vector with indices for gather operation
Nd4jCpu.float_gather_nd - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_get_seed - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_greater - Class in org.nd4j.nativeblas
This op takes 2 equally shaped arrays as input, and provides binary matrix as output.
Nd4jCpu.float_greater_equal - Class in org.nd4j.nativeblas
This op takes 2 equally shaped arrays as input, and provides binary matrix as output.
Nd4jCpu.float_gru - Class in org.nd4j.nativeblas
Implementation of gated Recurrent Unit: Input arrays: 0: input with shape [time x batchSize x inSize], time - number of time steps, batchSize - batch size, inSize - number of features 1: initial cell output [batchSize x numUnits], that is at time step = 0 2: input-to-hidden weights, [inSize x 3*numUnits] 3: hidden-to-hidden weights, [numUnits x 3*numUnits] 4: biases, [3*numUnits] Output arrays: 0: cell outputs [time x batchSize x numUnits], that is per each time step
Nd4jCpu.float_gruCell - Class in org.nd4j.nativeblas
Implementation of gated Recurrent Unit cell: Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation" Input arrays: 0: input with shape [batchSize x inSize], batchSize - batch size, inSize - number of features 1: previous cell output [batchSize x numUnits], that is at previous time step t-1 2: input-to-hidden weights, [inSize x 3*numUnits] 3: hidden-to-hidden weights, [numUnits x 3*numUnits] 4: biases, [3*numUnits] Output arrays: 0: current cell output [batchSize x numUnits], that is at current time step t
Nd4jCpu.float_gt_scalar - Class in org.nd4j.nativeblas
This is scalar boolean op.
Nd4jCpu.float_gte_scalar - Class in org.nd4j.nativeblas
This is scalar boolean op.
Nd4jCpu.float_hardsigmoid - Class in org.nd4j.nativeblas
This is HardSigmoid activation function.
Nd4jCpu.float_hardsigmoid_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_hardtanh - Class in org.nd4j.nativeblas
This is HardTanh activation function.
Nd4jCpu.float_hardtanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_hinge_loss - Class in org.nd4j.nativeblas
Implementation of hinge loss function max(0, 1 - labels*logits) Input arrays: 0: logits - logits, type float 1: weights - is used for weighting (multiplying) of loss values, type float.
Nd4jCpu.float_huber_loss - Class in org.nd4j.nativeblas
Implementation of Huber loss function: 0.5 * (labels-predictions)^2 if |labels-predictions| <= delta 0.5 * delta^2 + delta * (|labels-predictions| - delta) if |labels-predictions| > delta Input arrays: 0: predictions - the predicted values, type float 1: weights - is used for weighting (multiplying) of loss values, type float.
Nd4jCpu.float_identity - Class in org.nd4j.nativeblas
This is Indentity operation.
Nd4jCpu.float_identity_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_im2col - Class in org.nd4j.nativeblas
This op implements im2col algorithm, widely used in convolution neural networks Input: 4D input expected Int args: 0: kernel height 1: kernel width 2: stride height 3: stride width 4: padding height 5: padding width 6: dilation height 7: dilation width 8: isSameMode
Nd4jCpu.float_im2col_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_in_top_k - Class in org.nd4j.nativeblas
in_top_k operation returns a vector of k boolean values for given NDArray as 2D matrix of predicted in the NDArray k top values The first parameter is a NDArray of predicted values (2d array).
Nd4jCpu.float_invert_permutation - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_is_non_decreasing - Class in org.nd4j.nativeblas
This op takes 1 n-dimensional array as input, and returns true if for every adjacent pair we have x[i] <= x[i+1].
Nd4jCpu.float_is_numeric_tensor - Class in org.nd4j.nativeblas
This op takes 1 n-dimensional array as input, and returns true if input is a numeric array.
Nd4jCpu.float_is_strictly_increasing - Class in org.nd4j.nativeblas
This op takes 1 n-dimensional array as input, and returns true if for every adjacent pair we have x[i] < x[i+1].
Nd4jCpu.float_ismax - Class in org.nd4j.nativeblas
This op produces binary matrix wrt to target dimension.
Nd4jCpu.float_l2_loss - Class in org.nd4j.nativeblas
l2_loss op.
Nd4jCpu.float_less - Class in org.nd4j.nativeblas
This op takes 2 equally shaped arrays as input, and provides binary matrix as output.
Nd4jCpu.float_less_equal - Class in org.nd4j.nativeblas
This op takes 2 equally shaped arrays as input, and provides binary matrix as output.
Nd4jCpu.float_listdiff - Class in org.nd4j.nativeblas
This operation takes 2 arrays: original values, and values to be excluded.
Nd4jCpu.float_Log1p - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_log_loss - Class in org.nd4j.nativeblas
Implementation of logarithmic loss function ( y_i * log(p_i) + (1 - y_i) * log(1 - p_i) ) Input arrays: 0: predictions - the predicted values, type float 1: weights - is used for weighting (multiplying) of loss values, type float.
Nd4jCpu.float_log_poison_loss - Class in org.nd4j.nativeblas
This op calculates logarithmic loss of poison distributed input Input arguments 0 - target 1 - input optional int - boolean value compute_full_loss: 0 (default) or 1 (compute)
Nd4jCpu.float_log_softmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_log_softmax_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_lrelu - Class in org.nd4j.nativeblas
This is Leaky RELU activation function.
Nd4jCpu.float_lrelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_lrn - Class in org.nd4j.nativeblas
Local response normalization implementation as TF.
Nd4jCpu.float_lrn_bp - Class in org.nd4j.nativeblas
Local response normalization - backprop variant.
Nd4jCpu.float_lrn_old - Class in org.nd4j.nativeblas
Local response normalization implementation.
Nd4jCpu.float_lstm - Class in org.nd4j.nativeblas
Implementation of operation "LSTM time sequences" with peep hole connections: Input arrays: 0: input with shape [time x batchSize x inSize], time - number of time steps, batchSize - batch size, inSize - number of features 1: initial cell output [batchSize x numProj], that is at time step = 0, in case of projection=false -> numProj=numUnits!!! 2: initial cell state [batchSize x numUnits], that is at time step = 0 3: input-to-hidden weights, [inSize x 4*numUnits] 4: hidden-to-hidden weights, [numProj x 4*numUnits] 5: diagonal weights for peephole connections [3*numUnits] 6: projection weights [numUnits x numProj] 7: biases, [4*numUnits] Input integer arguments: 0: if not zero, provide peephole connections 1: if not zero, then projection is performed, if zero then numProj==numUnits is mandatory! Input float arguments: 0: clipping value for cell state, if it is not equal to zero, then cell state is clipped 1: clipping value for projected cell output, if it is not equal to zero, then projected cell output is clipped 2: the bias added to forget gates in order to reduce the scale of forgetting in the beginning of the training Output arrays: 0: cell outputs [time x batchSize x numProj], that is per each time step 1: cell states [time x batchSize x numUnits], that is per each time step
Nd4jCpu.float_lstmCell - Class in org.nd4j.nativeblas
Implementation of operation for LSTM cell with peep hole connections: S.
Nd4jCpu.float_lt_scalar - Class in org.nd4j.nativeblas
This is scalar boolean op.
Nd4jCpu.float_lte_scalar - Class in org.nd4j.nativeblas
This is scalar boolean op.
Nd4jCpu.float_matmul - Class in org.nd4j.nativeblas
This op is general matmum implementation.
Nd4jCpu.float_matrix_determinant - Class in org.nd4j.nativeblas
matrix_determinant op.
Nd4jCpu.float_matrix_diag - Class in org.nd4j.nativeblas
Returns a batched matrix tensor with diagonal values given (as TF.matrix_diag).
Nd4jCpu.float_matrix_diag_part - Class in org.nd4j.nativeblas
Returns a diagonal vector for any submatricies with in a given tensor.
Nd4jCpu.float_matrix_inverse - Class in org.nd4j.nativeblas
matrix_inverse op.
Nd4jCpu.float_matrix_set_diag - Class in org.nd4j.nativeblas
Returns a batched matrix tensor with new batched diagonal values.
Nd4jCpu.float_max_pool_with_argmax - Class in org.nd4j.nativeblas
This op same as maxpool2d with a variant to return a matrix of indexes for max values Input - 4D tensor Output: 0 - 4D tensor as input 1 - 4D tensor with max value indexes Int params: 9 int with 2x4 vectors and 1 bool value
Nd4jCpu.float_maximum - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_maximum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_maxpool2d - Class in org.nd4j.nativeblas
This op implements max pooling for convolution networks.
Nd4jCpu.float_maxpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_maxpool3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_maxpool3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_maxpool3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_maxpool3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_mean_pairwssqerr_loss - Class in org.nd4j.nativeblas
Implementation of pairwise-errors-squared loss function Input arrays: 0: predictions - the predicted values, type float.
Nd4jCpu.float_mean_sqerr_loss - Class in org.nd4j.nativeblas
Implementation of Sum-of-Squares loss function 1/N * sum_{i}^{N}(predictions_i - labels_i)^2 Input arrays: 0: predictions - the predicted values, type float 1: weights - is used for weighting (multiplying) of loss values, type float.
Nd4jCpu.float_mergeadd - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_mergeavg - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_mergemax - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_mergemaxindex - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_meshgrid - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_minimum - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_minimum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_mirror_pad - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_mod - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_mod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_moments - Class in org.nd4j.nativeblas
moments operation calculate a mean and variation for given NDArray with reduce a result according to axis array given.
Nd4jCpu.float_multiply - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_multiply_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_neq_scalar - Class in org.nd4j.nativeblas
This is scalar boolean op.
Nd4jCpu.float_noop - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_norm - Class in org.nd4j.nativeblas
This operation provides various normalization modes: 0: frobenius 1: euclidean (norm2) 2: norm1 3: norm2 4: inf-norm 5: p-norm Expected arguments: input: N-dimensional array Int args: 0...: axis T args: 0: norm mode 1: p for p-norm
Nd4jCpu.float_normalize_moments - Class in org.nd4j.nativeblas
normalize_moments operation normalize already calculated mean and variation accordingly to shift and count.
Nd4jCpu.float_not_equals - Class in org.nd4j.nativeblas
This op takes 2 equally shaped arrays as input, and provides binary matrix as output.
Nd4jCpu.float_onehot - Class in org.nd4j.nativeblas
This operation return one-hot encoded n-dimensional array Expected arguments: input: N-dimensional array T args: 0: 'on' value 1: 'off' value Int args: 0: depth 1: axis
Nd4jCpu.float_ones_as - Class in org.nd4j.nativeblas
This operation takes input's shape, and returns new NDArray filled with ones Expected arguments: input: N-dimensional array
Nd4jCpu.float_order - Class in org.nd4j.nativeblas
This op changes order of given array to specified order.
Nd4jCpu.float_pad - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_parallel_stack - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_percentile - Class in org.nd4j.nativeblas
This operation performs calculation of percentile of input array along given axises Input - tensor with rank N > 0 Output - tensor with rank (N - length(axis)) or scalar if number of Integer arguments is zero Float arguments: 0: percentile (scalar) in range [0,100] (inclusively) 1: interpolation (optional), possible values are 0-"lower", 1-"higher", 2-"nearest"(default) 2: keepDims (optional), if it is non zero, then unities are kept in reduced resulting shape of output array, default is 0 Integer arguments - axis - the sequence of axises to calculate percentile along, if sequence is empty then calculate percentile for whole input tensor and return result as scalar
Nd4jCpu.float_permute - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.float_pick_list - Class in org.nd4j.nativeblas
This operations selects specified indices fron NDArrayList and returns them as NDArray Expected arguments: x: non-empty list indices: optional, vector with indices Int args: optional, indices
Nd4jCpu.float_pnormpool2d - Class in org.nd4j.nativeblas
This op implements pnorm pooling for convolution networks.
Nd4jCpu.float_pnormpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_pointwise_conv2d - Class in org.nd4j.nativeblas
point-wise 2D convolution Expected input: x: 4D array weight: 4D Array [1, 1, iC, oC] (NHWC) or [oC, iC, 1, 1] (NCHW) bias: optional vector, length of oC IntArgs: 0: data format: 1 NHWC, 0 NCHW (optional, by default = NHWC)
Nd4jCpu.float_polygamma - Class in org.nd4j.nativeblas
This op calculates polygamma function psi^(n)(x).
Nd4jCpu.float_pooling2d - Class in org.nd4j.nativeblas
Universal pooling op, combines max/avg/pnorm pooling.
Nd4jCpu.float_prelu - Class in org.nd4j.nativeblas
Parametric Rectified Linear Unit f(x) = alpha * x for x < 0, f(x) = x for x >= 0
Nd4jCpu.float_prelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_random_bernoulli - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_random_crop - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_random_exponential - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_random_normal - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_random_shuffle - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_randomuniform - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_range - Class in org.nd4j.nativeblas
This operation generate sequences.
Nd4jCpu.float_rank - Class in org.nd4j.nativeblas
This operation returns rank of input array as scalar value.
Nd4jCpu.float_rationaltanh - Class in org.nd4j.nativeblas
This is RationalTanh activation function.
Nd4jCpu.float_rationaltanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_read_list - Class in org.nd4j.nativeblas
This operations selects specified index fron NDArrayList and returns it as NDArray Expected arguments: x: non-empty list indices: optional, scalar with index Int args: optional, index
Nd4jCpu.float_realdiv - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_realdiv_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_rectifiedtanh - Class in org.nd4j.nativeblas
This is RectifiedTanh activation function.
Nd4jCpu.float_rectifiedtanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_dot_bp - Class in org.nd4j.nativeblas
This op calculates backprop dot for two tensors along given dimensions input array: x: tensor to calculate dot for y: tensor to calculate dot for z: tensor with gradient output of the FF dot for x and y int arguments: list of integers - dimensions to calculate dot along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned.
Nd4jCpu.float_reduce_max - Class in org.nd4j.nativeblas
This op calculates max of elements along given dimensions input array: x: tensor to calculate maxes for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero int arguments: list of integers - dimensions to calculate max along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated maxes
Nd4jCpu.float_reduce_max_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_mean - Class in org.nd4j.nativeblas
This op calculates mean of elements along given dimensions input array: x: tensor to calculate mean for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero int arguments: list of integers - dimensions to calculate mean along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated means
Nd4jCpu.float_reduce_mean_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_min - Class in org.nd4j.nativeblas
This op calculates min of elements along given dimensions input array: x: tensor to calculate mins for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero int arguments: list of integers - dimensions to calculate min along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated mins
Nd4jCpu.float_reduce_min_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_norm1 - Class in org.nd4j.nativeblas
This op calculates norm1 of elements along given dimensions input array: x: tensor to calculate norm1 for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero int arguments: list of integers - dimensions to calculate norm1 along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated norm1
Nd4jCpu.float_reduce_norm1_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_norm2 - Class in org.nd4j.nativeblas
This op calculates norm2 of elements along given dimensions input array: x: tensor to calculate norm2 for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero int arguments: list of integers - dimensions to calculate norm2 along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated norm2
Nd4jCpu.float_reduce_norm2_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_norm_max - Class in org.nd4j.nativeblas
This op calculates norm max of elements along given dimensions input array: x: tensor to calculate norm max for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero int arguments: list of integers - dimensions to calculate norm max along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated norm
Nd4jCpu.float_reduce_norm_max_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_prod - Class in org.nd4j.nativeblas
reduction_prod - tf.reduction_prod operation input params: 0 - NDArray T_ARG param (optional): 0 - keep_dims != 0.
Nd4jCpu.float_reduce_prod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_sqnorm - Class in org.nd4j.nativeblas
This op calculates squared norm of elements along given dimensions input array: x: tensor to calculate squared norm for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero int arguments: list of integers - dimensions to calculate squared norm along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated norm
Nd4jCpu.float_reduce_sqnorm_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_stdev - Class in org.nd4j.nativeblas
This op calculates sample standard deviation of elements along given dimensions input array: x: tensor to calculate mean for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero biasCorrected - if non zero, then bias correction will be applied, default value is zero int arguments: list of integers - dimensions to calculate mean along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated means
Nd4jCpu.float_reduce_stdev_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_sum - Class in org.nd4j.nativeblas
reduction_sum - tf.reduction_sum operation input params: 0 - NDArray T_ARG param (optional): 0 - keep_dims != 0.
Nd4jCpu.float_reduce_sum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reduce_variance - Class in org.nd4j.nativeblas
This op calculates sample variance of elements along given dimensions input array: x: tensor to calculate mean for float arguments: keepDims: if non zero, then keep reduced dimensions with length = 1, default value is zero biasCorrected - if non zero, then bias correction will be applied, default value is zero int arguments: list of integers - dimensions to calculate mean along, default corresponds to empty list in which case calculation is performed for all dimensions and scalar is returned output array: reduced tensor with calculated means
Nd4jCpu.float_reduce_variance_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_relu - Class in org.nd4j.nativeblas
This is RELU activation function implementation
Nd4jCpu.float_relu6 - Class in org.nd4j.nativeblas
This is RELU6 activation function implementation
Nd4jCpu.float_relu6_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_relu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_relu_layer - Class in org.nd4j.nativeblas
relu_layer = relu(x*w + b)
Nd4jCpu.float_repeat - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reshape - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reshapeas - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_Return - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reverse - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reverse_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reverse_sequence - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reversedivide - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_reversedivide_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reversemod - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_reversemod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_reversesubtract - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_reversesubtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_rint - Class in org.nd4j.nativeblas
This operation applies element-wise rint (round to integral value) operation
Nd4jCpu.float_roll - Class in org.nd4j.nativeblas
roll - op porting from numpy (https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.roll.html) input params: 0 - NDArray int params: 0 - shift 1 - axe 1 2 - axe 2 ...
Nd4jCpu.float_scatter_add - Class in org.nd4j.nativeblas
This operation applies Add operation to specific inputs wrt indices Expected arguments: input: array to be updated indices: array containing indexes for first dimension of input updates: array containing elements to be interfered with input
Nd4jCpu.float_scatter_div - Class in org.nd4j.nativeblas
This operation applies Divide operation to specific inputs wrt indices Expected arguments: input: array to be updated indices: array containing indexes for first dimension of input updates: array containing elements to be interfered with input
Nd4jCpu.float_scatter_list - Class in org.nd4j.nativeblas
This operation unpacks given NDArray into specified NDArrayList wrt specified indices
Nd4jCpu.float_scatter_max - Class in org.nd4j.nativeblas
This operation applies Max operation to specific inputs through given indices Expected arguments: input: array to be updated indices: array containing indexes for first dimension of input updates: array containing elements to be interfered with input
Nd4jCpu.float_scatter_min - Class in org.nd4j.nativeblas
This operation applies Min operation to specific inputs through given indices Expected arguments: input: array to be updated indices: array containing indexes for first dimension of input updates: array containing elements to be interfered with input
Nd4jCpu.float_scatter_mul - Class in org.nd4j.nativeblas
This operation applies Multiply operation to specific inputs wrt indices Expected arguments: input: array to be updated indices: array containing indexes for first dimension of input updates: array containing elements to be interfered with input
Nd4jCpu.float_scatter_sub - Class in org.nd4j.nativeblas
This operation applies Subtract operation to specific inputs wrt indices Expected arguments: input: array to be updated indices: array containing indexes for first dimension of input updates: array containing elements to be interfered with input
Nd4jCpu.float_scatter_upd - Class in org.nd4j.nativeblas
This operation applies Assign operation to specific inputs wrt indices Expected arguments: input: array to be updated indices: array containing indexes for first dimension of input updates: array containing elements to be interfered with input
Nd4jCpu.float_scatter_update - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_sconv2d - Class in org.nd4j.nativeblas
Depthwise convolution2d op: Expected inputs: x: 4D array, NCHW format weightsDepth: 4D array, weightsPointwise: optional, 4D array bias: optional, vector
Nd4jCpu.float_sconv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_Scope - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_segment_max - Class in org.nd4j.nativeblas
segment_max op.
Nd4jCpu.float_segment_mean - Class in org.nd4j.nativeblas
segment_mean op.
Nd4jCpu.float_segment_min - Class in org.nd4j.nativeblas
segment_min op.
Nd4jCpu.float_segment_prod - Class in org.nd4j.nativeblas
segment_prod op.
Nd4jCpu.float_segment_sum - Class in org.nd4j.nativeblas
segment_sum op.
Nd4jCpu.float_select - Class in org.nd4j.nativeblas
This op takes 2 n-dimensional arrays as input, and return array of the same shape, with elements, either from x or y, depending on the condition.
Nd4jCpu.float_selu - Class in org.nd4j.nativeblas
This is SELU activation function implementation
Nd4jCpu.float_selu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_sequence_mask - Class in org.nd4j.nativeblas
sequence_mask op.
Nd4jCpu.float_set_seed - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.float_shape_of - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_shapes_of - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_sigm_cross_entropy_loss - Class in org.nd4j.nativeblas
Implementation of sigmoid cross-entropy loss function max(logits, 0.) - logits * labels + log(1.
Nd4jCpu.float_sigmoid - Class in org.nd4j.nativeblas
This is Sigmoid activation function implementation Math is: 1 / 1 + exp(-x)
Nd4jCpu.float_sigmoid_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_size - Class in org.nd4j.nativeblas
This operation returns length of input array Expected arguments: input: N-dimensional array TODO: make this operation reduction, to allow TAD -> size
Nd4jCpu.float_size_at - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_size_list - Class in org.nd4j.nativeblas
This operations returns scalar, with number of existing arrays within given NDArrayList Expected arguments: x: list
Nd4jCpu.float_slice - Class in org.nd4j.nativeblas
This operation extracts a slice from a tensor.
Nd4jCpu.float_slice_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_softmax - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.float_softmax_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_softmax_cross_entropy_loss - Class in org.nd4j.nativeblas
Implementation of softmax cross-entropy loss function max(logits, 0.) - logits * labels + log(1.
Nd4jCpu.float_softmax_cross_entropy_loss_with_logits - Class in org.nd4j.nativeblas
Implementation of softmax cross-entropy loss function max(logits, 0.) - logits * labels + log(1.
Nd4jCpu.float_softplus - Class in org.nd4j.nativeblas
This is Softplus activation function implementation Math is: log(1 + exp(x))
Nd4jCpu.float_softplus_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_softsign - Class in org.nd4j.nativeblas
This is Softsign activation function implementation Math is: x / 1 + abs(x)
Nd4jCpu.float_softsign_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_space_to_batch - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_space_to_depth - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_split - Class in org.nd4j.nativeblas
This operation splits given NDArray into chunks of specific size, along given dimension 0 - input array 1 - optional axis Integer arguments: 0 - number of splits 1 - optional axis
Nd4jCpu.float_split_list - Class in org.nd4j.nativeblas
This operation splits given NDArray into chunks, and stores them into given NDArrayList wert sizes Expected arguments: list: optional, NDArrayList.
Nd4jCpu.float_split_v - Class in org.nd4j.nativeblas
This operation splits given NDArray into chunks of specific size, along given dimension Input arrays: 0 - input array 1 - array of sizes 2 - optional axis Integer arguments: 0 - optional axis
Nd4jCpu.float_square - Class in org.nd4j.nativeblas
This operation applies element-wise pow(x, 2) to the given input Expected arguments: input: N-Dimensional array
Nd4jCpu.float_squaredsubtract - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_squaredsubtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_squeeze - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_sru - Class in org.nd4j.nativeblas
Implementation of operation for Simple Recurrent Unit: "Training RNNs as Fast as CNNs" Tao Lei, Yu Zhang, Yoav Artzi Input arrays: 0: input 3d tensor with shape [bS x K x N], N - number of time steps, bS - batch size, K - number of features 1: 2d tensor of weights [3K x K] 2: row of biases with twice length [1 × 2K] 3: 2d tensor of previous cell state [bS x K] 4: optional, 2d tensor of dropout mask [bS x K] Output arrays: 0: 3d tensor of cell output [bS x K x N] 1: 3d tensor of cell state [bS x K x N]
Nd4jCpu.float_sru_bi - Class in org.nd4j.nativeblas
Implementation of operation for Simple Recurrent Unit (bidirectional case): "Training RNNs as Fast as CNNs" Tao Lei, Yu Zhang, Yoav Artzi Input arrays: 0: input 3d tensor with shape [N x bS x 2K], N - number of time steps, bS - batch size, K - number of features 1: 2d tensor of weights [2K x 6K] 2: row of biases with twice length [1 × 4K] 3: 2d tensor of previous cell state [bS x 2K] 4: optional, 2d tensor of dropout mask [bS x 2K] Output arrays: 0: 3d tensor of cell output [N x bS x 2K] 1: 3d tensor of cell state [N x bS x 2K]
Nd4jCpu.float_sru_bi_bp - Class in org.nd4j.nativeblas
Implementation of operation for back propagation in Simple Recurrent Unit (bidirectional case): "Training RNNs as Fast as CNNs" Tao Lei, Yu Zhang, Yoav Artzi Input arrays: 0: input 3d tensor with shape [N x bS x 2K], N - number of time steps, bS - batch size, K - number of features 1: 2d tensor of weights [2K x 6K] 2: row of biases with twice length [1 × 4K] 3: 2d tensor of previous cell state [bS x 2K] 4: 3d tensor of cell state [N x bS x 2K] 5: 2d tensor of cell state gradients [bS x 2K] 6: 3d tensor of state output gradients [N x bS x 2K] 7: optional, 2d tensor of dropout mask [bS x 2K] Output arrays: 0: 3d tensor of input gradients [N x bS x 2K] 1: 3d tensor of weights gradients [N x 2K x 6K] 2: 2d, row of biases gradients [1 x 4K] 3: 2d, tensor of state gradients [bS x 2K]
Nd4jCpu.float_sru_bp - Class in org.nd4j.nativeblas
Implementation of operation for back propagation in Simple Recurrent Unit: "Training RNNs as Fast as CNNs" Tao Lei, Yu Zhang, Yoav Artzi Input arrays: 0: input 3d tensor with shape [bS x K x N], N - number of time steps, bS - batch size, K - number of features 1: 2d tensor of weights [3K x K] 2: row of biases with twice length [1 × 2K] 3: 2d tensor of previous cell state [bS x K] 4: 3d tensor of cell state [bS x K x N] 5: 2d tensor of cell state gradients [bS x K] 6: 3d tensor of state output gradients [bS x K x N] 7: optional, 2d tensor of dropout mask [bS x K] Output arrays: 0: 3d tensor of input gradients [bS x K x N] 1: 3d tensor of weights gradients [bS x 3K x K] 2: 2d, row of biases gradients [1 x 2K] 3: 2d, tensor of state gradients [bS x K]
Nd4jCpu.float_sru_bp_logic - Class in org.nd4j.nativeblas
Implementation of operation for back propagation in Simple Recurrent Unit: "Training RNNs as Fast as CNNs" Tao Lei, Yu Zhang, Yoav Artzi Input arrays: 0: input 3d tensor with shape [bS x K x N], N - number of time steps, bS - batch size, K - number of features 1: 2d tensor of weights [3K x K] 2: row of biases with twice length [1 × 2K] 3: 2d tensor of previous cell state [bS x K] 4: 3d tensor of cell state [bS x K x N] 5: 2d tensor of cell state gradients [bS x K] 6: 3d tensor of state output gradients [bS x K x N] 7: optional, 2d tensor of dropout mask [bS x K] Output arrays: 0: 3d tensor of input gradients [bS x K x N] 1: 3d tensor of weights gradients [bS x 3K x K] 2: 2d, row of biases gradients [1 x 2K] 3: 2d, tensor of state gradients [bS x K]
Nd4jCpu.float_sru_logic - Class in org.nd4j.nativeblas
Implementation of operation for Simple Recurrent Unit: "Training RNNs as Fast as CNNs" Tao Lei, Yu Zhang, Yoav Artzi Input arrays: 0: input 3d tensor with shape [bS x K x N], N - number of time steps, bS - batch size, K - number of features 1: 2d tensor of weights [3K x K] 2: row of biases with twice length [1 × 2K] 3: 2d tensor of previous cell state [bS x K] 4: optional, 2d tensor of dropout mask [bS x K] Output arrays: 0: 3d tensor of cell output [bS x K x N] 1: 3d tensor of cell state [bS x K x N]
Nd4jCpu.float_sru_old - Class in org.nd4j.nativeblas
Implementation of operations for Simple Recurrent Unit: "Training RNNs as Fast as CNNs" Tao Lei, Yu Zhang, Yoav Artzi Input arrays: 0: input 3d tensor with shape [bS x K x N], N - number of time steps, bS - batch size, K - number of features 1: 2d tensor of weights [3K x K] 2: row of biases with twice length [1 × 2K] 3: 2d tensor of previous cell state [bS x K] 4: optional, 2d tensor of dropout mask [bS x K] Output arrays: 0: 3d tensor of cell output [bS x K x N] 1: 3d tensor of cell state [bS x K x N]
Nd4jCpu.float_sruCell - Class in org.nd4j.nativeblas
Implementation of operations for Simple Recurrent Unit cell: "Training RNNs as Fast as CNNs" Tao Lei, Yu Zhang, Yoav Artzi Input arrays: 0: input with shape [batchSize x inSize], batchSize - batch size, inSize - number of features 1: previous cell state [batchSize x inSize], that is at previous time step t-1 2: weights [inSize x 3*inSize] 3: biases [1 × 2*inSize] Output arrays: 0: current cell output [batchSize x inSize], that is at current time step t 1: current cell state [batchSize x inSize], that is at current time step t
Nd4jCpu.float_stack - Class in org.nd4j.nativeblas
This operation stacks a list of rank tensors into one rank-(R+1) tensor.
Nd4jCpu.float_stack_list - Class in org.nd4j.nativeblas
This operation concatenates given NDArrayList, and returns NDArray as result
Nd4jCpu.float_static_bidirectional_rnn - Class in org.nd4j.nativeblas
Implementation of operation "static RNN time sequences" with peep hole connections: Input arrays: 0: input with shape [time x batchSize x inSize], time - number of time steps, batchSize - batch size, inSize - number of features 1: input-to-hidden weights for forward RNN, [inSize x numUnitsFW] 2: hidden-to-hidden weights for forward RNN, [numUnitsFW x numUnitsFW] 3: biases for forward RNN, [2*numUnitsFW] 4: input-to-hidden weights for backward RNN, [inSize x numUnitsBW] 5: hidden-to-hidden weights for backward RNN, [numUnitsBW x numUnitsBW] 6: biases for backward RNN, [2*numUnitsBW] 7: (optional) initial cell output for forward RNN [batchSize x numUnitsFW], that is at time step = 0 8: (optional) initial cell output for backward RNN [batchSize x numUnitsBW], that is at time step = 0 9: (optional) vector with shape [batchSize] containing integer values within [0,time), each element of this vector set max time step per each input in batch, this provides no calculations for time >= maxTimeStep Output arrays: 0: cell outputs [time x batchSize x (numUnitsFW + numUnitsBW)] 1: cell final non-zero output for forward RNN [batchSize x numUnitsFW] 2: cell final non-zero output for backward RNN [batchSize x numUnitsBW]
Nd4jCpu.float_static_rnn - Class in org.nd4j.nativeblas
Implementation of operation "static RNN time sequences" with peep hole connections: Input arrays: 0: input with shape [time x batchSize x inSize], time - number of time steps, batchSize - batch size, inSize - number of features 1: input-to-hidden weights, [inSize x numUnits] 2: hidden-to-hidden weights, [numUnits x numUnits] 3: biases, [2*numUnits] 4: (optional) initial cell output [batchSize x numUnits], that is at time step = 0 5: (optional) vector with shape [batchSize] containing integer values within [0,time), each element of this vector set max time step per each input in batch, this provides no calculations for time >= maxTimeStep Output arrays: 0: cell outputs [time x batchSize x numUnits] 1: cell final non-zero output [batchSize x numUnits]
Nd4jCpu.float_stop_gradient - Class in org.nd4j.nativeblas
This operation is missed due it simplicy.
Nd4jCpu.float_strided_slice - Class in org.nd4j.nativeblas
This operation extracts a strided (optionally) slice from a tensor,
Nd4jCpu.float_strided_slice_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_subtract - Class in org.nd4j.nativeblas
This is one of auto-broadcastable operations.
Nd4jCpu.float_subtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_sufficient_statistics - Class in org.nd4j.nativeblas
sufficient_statistics operation return calculated mean and variation with data count.
Nd4jCpu.float_svd - Class in org.nd4j.nativeblas
performs singular value decomposition (SVD) of one one or more matrices, evaluates the SVD of each inner-most 2D matrix in input array: x[..., :, :] = u[..., :, :] * s[...,:] * transpose(v[..., :, :]) Input array: x[..., Rows, Cols], the necessary condition is: rank of x >= 2 Outputs arrays: s[..., diagSize] - array with singular values which are stored in decreasing order, diagSize is smaller among Rows and Cols u[..., Rows, Rows] if IArgs[1] is true, else u[..., Rows, diagSize] - array with right singular vectors v[..., Cols, Cols] if IArgs[1] is true, else v[..., Cols, diagSize] - array with left singular vectors Integer arguments: IArgs[0] - bool, whether to calculate u and v, s is calculated in any case IArgs[1] - bool, whether to calculate full-sized u and v IArgs[2] - the number of cols or rows which determines what algorithm to use.
Nd4jCpu.float_Switch - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_tanh - Class in org.nd4j.nativeblas
This is Tanh activation function implementation
Nd4jCpu.float_tanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_tear - Class in org.nd4j.nativeblas
This operation splits input NDArray into multiple TADs along given dimensions Expected arguments: input: N-dimensional array Int args: 0..: TAD axis
Nd4jCpu.float_tensormmul - Class in org.nd4j.nativeblas
tensorMmul/tensorDot operation takes 2 ndarrays, and 2 sets of axes Integer argumens map: IArgs[0] - number of axes along for first array IArgs[1]...
Nd4jCpu.float_test_output_reshape - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.float_test_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_testcustom - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_testop2i2o - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_testreduction - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_tf_atan2 - Class in org.nd4j.nativeblas
Special atan2 op impl for TF's args order \tparam T
Nd4jCpu.float_thresholdedrelu - Class in org.nd4j.nativeblas
Thresholded Rectified Linear Unit f(x) = x for x > theta, f(x) = 0 otherwise theta must be >= 0
Nd4jCpu.float_thresholdedrelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_tile - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_tile_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_tile_to_shape - Class in org.nd4j.nativeblas
This op boosts specified input up to specified shape \tparam T
Nd4jCpu.float_tile_to_shape_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_to_double - Class in org.nd4j.nativeblas
This operation casts elements of input array to double data type PLEASE NOTE: This op is disabled atm, and reserved for future releases.
Nd4jCpu.float_to_float16 - Class in org.nd4j.nativeblas
This operation casts elements of input array to float16 data type PLEASE NOTE: This op is disabled atm, and reserved for future releases.
Nd4jCpu.float_to_float32 - Class in org.nd4j.nativeblas
This operation casts elements of input array to float data type PLEASE NOTE: This op is disabled atm, and reserved for future releases.
Nd4jCpu.float_to_int32 - Class in org.nd4j.nativeblas
This operation casts elements of input array to int32 data type PLEASE NOTE: This op is disabled atm, and reserved for future releases.
Nd4jCpu.float_to_int64 - Class in org.nd4j.nativeblas
This operation casts elements of input array to int64 (aka long long) data type PLEASE NOTE: This op is disabled atm, and reserved for future releases.
Nd4jCpu.float_to_uint32 - Class in org.nd4j.nativeblas
This operation casts elements of input array to unsinged int32 data type PLEASE NOTE: This op is disabled atm, and reserved for future releases.
Nd4jCpu.float_to_uint64 - Class in org.nd4j.nativeblas
This operation casts elements of input array to unsigned int64 (aka unsigned long long) data type PLEASE NOTE: This op is disabled atm, and reserved for future releases.
Nd4jCpu.float_toggle_bits - Class in org.nd4j.nativeblas
This operation toggles individual bits of each element in array PLEASE NOTE: This operation is possible only on integer datatypes \tparam T
Nd4jCpu.float_top_k - Class in org.nd4j.nativeblas
top_k operation returns a vector of k top values for given NDArray as tensor with default boolean (true) as sort for result index array will be sorted by the values in descending order.
Nd4jCpu.float_trace - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_transpose - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_tri - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_triu - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_triu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_truncatediv - Class in org.nd4j.nativeblas
\tparam T
Nd4jCpu.float_unique - Class in org.nd4j.nativeblas
This operation returns unique elements from input array as vector, and their original indices in input array Expected input: input: N-dimensional array
Nd4jCpu.float_unique_with_counts - Class in org.nd4j.nativeblas
This operation returns 3 1D arrays for given 1D array with unique element count and indexes input: 0 - 1D array output: 0 - 1D array with unique values 1 - 1D array with ids for values in array above 2 - 1D array with counts for values in array above
Nd4jCpu.float_unstack - Class in org.nd4j.nativeblas
This op does the same as tear, just uses different input format: \tparam T
Nd4jCpu.float_unstack_list - Class in org.nd4j.nativeblas
This operation unstacks given NDArray into NDArrayList
Nd4jCpu.float_upsampling2d - Class in org.nd4j.nativeblas
Expected input: 4D array IntArgs: 0: scale factor for rows (height) 1: scale factor for columns (width) 2: data format: 0 NHWC (default), 1 NCHW
Nd4jCpu.float_upsampling2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_upsampling3d - Class in org.nd4j.nativeblas
Expected input: 4D array IntArgs: 0: scale factor for depth 1: scale factor for rows (height) 2: scale factor for columns (width) 3: data format: 0 NDHWC (default), 1 NCDHW
Nd4jCpu.float_upsampling3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_weighted_cross_entropy_with_logits - Class in org.nd4j.nativeblas
This op calculates weighted logarithmic loss of input Input arguments 0 - target 1 - input 2 - weights (scalar or vector with same as last dimension) return value - a tensor with the same shape as target or input
Nd4jCpu.float_Where - Class in org.nd4j.nativeblas
This op takes 2 n-dimensional arrays as input, and return array of the same shape, with elements, either from x or y, depending on the condition.
Nd4jCpu.float_where_np - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_While - Class in org.nd4j.nativeblas
 
Nd4jCpu.float_write_list - Class in org.nd4j.nativeblas
This operations puts given NDArray into (optionally) given NDArrayList.
Nd4jCpu.float_xw_plus_b - Class in org.nd4j.nativeblas
xw_plus_b op.
Nd4jCpu.float_zero_fraction - Class in org.nd4j.nativeblas
zero_fraction op.
Nd4jCpu.float_zeros_as - Class in org.nd4j.nativeblas
This operation takes input's shape, and returns new NDArray filled with zeros Expected arguments: input: N-dimensional array
Nd4jCpu.float_zeta - Class in org.nd4j.nativeblas
This op calculates Hurwitz zeta function zeta(x, q) = sum_{n=0}^{inf} (q + n)^{-x} Implementation is based on Euler-Maclaurin summation formula Input arrays: x: define power {-x}, must be > 1, type float.
Nd4jCpu.FloatBooleanOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatBroadcastableOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatContext - Class in org.nd4j.nativeblas
This class defines input desired for any given node/operation within graph
Nd4jCpu.FloatContextPrototype - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatDeclarableCustomOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatDeclarableListOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatDeclarableOp - Class in org.nd4j.nativeblas
This class is the basic building block of Graph Operations.
Nd4jCpu.FloatDeclarableReductionOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatGraphState - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatLogicOp - Class in org.nd4j.nativeblas
Logic ops are unique snowflakes in any Graph.
Nd4jCpu.FloatNDArray - Class in org.nd4j.nativeblas
 
Nd4jCpu.FloatNDArrayList - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatNDArrayVector - Class in org.nd4j.nativeblas
 
Nd4jCpu.FloatNDArrayVector.Iterator - Class in org.nd4j.nativeblas
 
Nd4jCpu.FloatOpArgsHolder - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatResultSet - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatStash - Class in org.nd4j.nativeblas
 
Nd4jCpu.FloatVariable - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatVariableSpace - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FloatVariablesSet - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.FlowPath - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.GraphProfile - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.half_absolute_difference_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_add - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_add_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_adjust_hue - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_adjust_saturation - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_apply_sgd - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_argmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_argmin - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_assign - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_assign_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_avgpool2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_avgpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_avgpool3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_avgpool3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_avgpool3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_avgpool3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_axpy - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_batch_to_space - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_batched_gemm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_batchnorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_batchnorm_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_betainc - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_biasadd - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_biasadd_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_bincount - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_boolean_and - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_boolean_or - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_broadcast_dynamic_shape - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_broadcastgradientargs - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cast - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_choose - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_clip_by_global_norm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_clipbyavgnorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_clipbynorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_clipbynorm_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_clipbyvalue - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_clone_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_col2im - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_concat - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_concat_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_Conditional - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_confusion_matrix - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv1d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv1d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv2d_input_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_conv3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cosine_distance_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_create_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_crelu - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_crelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cross - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cube - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cube_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cumprod - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cumprod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cumsum - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_cumsum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_deconv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_deconv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_deconv2d_tf - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_depth_to_space - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_depthwise_conv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_depthwise_conv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_diag - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_diag_part - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_dilation2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_divide - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_divide_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_dropout - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_dynamic_bidirectional_rnn - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_dynamic_partition - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_dynamic_rnn - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_dynamic_stitch - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_elu - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_elu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_embedding_lookup - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_eq_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_equals - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_expand_dims - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_expose - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_extract_image_patches - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_eye - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_fill - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_fill_as - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_firas_sparse - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_Floor - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_floordiv - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_floordiv_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_floormod - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_floormod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_fullconv3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_fullconv3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_fullconv3d_grad - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_fused_batch_norm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_gather - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_gather_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_gather_nd - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_get_seed - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_greater - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_greater_equal - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_gru - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_gruCell - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_gt_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_gte_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_hardsigmoid - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_hardsigmoid_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_hardtanh - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_hardtanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_hinge_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_huber_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_identity - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_identity_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_im2col - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_im2col_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_in_top_k - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_invert_permutation - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_is_non_decreasing - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_is_numeric_tensor - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_is_strictly_increasing - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_ismax - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_l2_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_less - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_less_equal - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_listdiff - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_Log1p - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_log_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_log_poison_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_log_softmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_log_softmax_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lrelu - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lrelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lrn - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lrn_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lrn_old - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lstm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lstmCell - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lt_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_lte_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_matmul - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_matrix_determinant - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_matrix_diag - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_matrix_diag_part - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_matrix_inverse - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_matrix_set_diag - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_max_pool_with_argmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_maximum - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_maximum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_maxpool2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_maxpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_maxpool3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_maxpool3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_maxpool3dnew - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_maxpool3dnew_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mean_pairwssqerr_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mean_sqerr_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mergeadd - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mergeavg - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mergemax - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mergemaxindex - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_meshgrid - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_minimum - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_minimum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mirror_pad - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mod - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_mod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_moments - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_multiply - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_multiply_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_neq_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_noop - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_norm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_normalize_moments - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_not_equals - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_onehot - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_ones_as - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_order - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_pad - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_parallel_stack - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_percentile - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_permute - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_pick_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_pnormpool2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_pnormpool2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_pointwise_conv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_polygamma - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_pooling2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_prelu - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_prelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_random_bernoulli - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_random_crop - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_random_exponential - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_random_normal - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_random_shuffle - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_randomuniform - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_range - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_rank - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_rationaltanh - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_rationaltanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_read_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_realdiv - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_realdiv_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_rectifiedtanh - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_rectifiedtanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_dot_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_max - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_max_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_mean - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_mean_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_min - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_min_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_norm1 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_norm1_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_norm2 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_norm2_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_norm_max - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_norm_max_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_prod - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_prod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_sqnorm - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_sqnorm_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_stdev - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_stdev_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_sum - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_sum_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_variance - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reduce_variance_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_relu - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_relu6 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_relu6_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_relu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_relu_layer - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_repeat - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reshape - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reshapeas - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_Return - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reverse - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reverse_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reverse_sequence - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reversedivide - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reversedivide_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reversemod - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reversemod_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reversesubtract - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_reversesubtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_rint - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_roll - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_add - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_div - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_max - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_min - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_mul - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_sub - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_upd - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_scatter_update - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sconv2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sconv2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_Scope - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_segment_max - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_segment_mean - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_segment_min - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_segment_prod - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_segment_sum - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_select - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_selu - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_selu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sequence_mask - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_set_seed - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_shape_of - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_shapes_of - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sigm_cross_entropy_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sigmoid - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sigmoid_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_size - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_size_at - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_size_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_slice - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_slice_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_softmax - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_softmax_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_softmax_cross_entropy_loss - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_softmax_cross_entropy_loss_with_logits - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_softplus - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_softplus_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_softsign - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_softsign_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_space_to_batch - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_space_to_depth - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_split - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_split_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_split_v - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_square - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_squaredsubtract - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_squaredsubtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_squeeze - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sru - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sru_bi - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sru_bi_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sru_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sru_bp_logic - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sru_logic - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sru_old - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sruCell - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_stack - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_stack_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_static_bidirectional_rnn - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_static_rnn - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_stop_gradient - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_strided_slice - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_strided_slice_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_subtract - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_subtract_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_sufficient_statistics - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_svd - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_Switch - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tanh - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tanh_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tear - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tensormmul - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_test_output_reshape - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_test_scalar - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_testcustom - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_testop2i2o - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_testreduction - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tf_atan2 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_thresholdedrelu - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_thresholdedrelu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tile - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tile_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tile_to_shape - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tile_to_shape_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_to_double - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_to_float16 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_to_float32 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_to_int32 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_to_int64 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_to_uint32 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_to_uint64 - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_toggle_bits - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_top_k - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_trace - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_transpose - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_tri - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_triu - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_triu_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_truncatediv - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_unique - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_unique_with_counts - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_unstack - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_unstack_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_upsampling2d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_upsampling2d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_upsampling3d - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_upsampling3d_bp - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_weighted_cross_entropy_with_logits - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_Where - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_where_np - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_While - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_write_list - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_xw_plus_b - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_zero_fraction - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_zeros_as - Class in org.nd4j.nativeblas
 
Nd4jCpu.half_zeta - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfBooleanOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfBroadcastableOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfContext - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfContextPrototype - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfDeclarableCustomOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfDeclarableListOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfDeclarableOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfDeclarableReductionOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfGraphState - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfLogicOp - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfNDArray - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfNDArrayList - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfNDArrayVector - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfNDArrayVector.Iterator - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfOpArgsHolder - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfResultSet - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfStash - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfVariable - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfVariableSpace - Class in org.nd4j.nativeblas
 
Nd4jCpu.HalfVariablesSet - Class in org.nd4j.nativeblas
 
Nd4jCpu.IGenerator - Class in org.nd4j.nativeblas
 
Nd4jCpu.IndicesList - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.Intervals - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.IntIntPair - Class in org.nd4j.nativeblas
 
Nd4jCpu.IntVectorVector - Class in org.nd4j.nativeblas
 
Nd4jCpu.KeyPair - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.LongVectorVector - Class in org.nd4j.nativeblas
 
Nd4jCpu.NativeOps - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.NDIndex - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.NDIndexAll - Class in org.nd4j.nativeblas
 
Nd4jCpu.NDIndexInterval - Class in org.nd4j.nativeblas
 
Nd4jCpu.NDIndexPoint - Class in org.nd4j.nativeblas
 
Nd4jCpu.NodeProfile - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.OpDescriptor - Class in org.nd4j.nativeblas
This class is very basic info holder for ops.
Nd4jCpu.OpRegistrator - Class in org.nd4j.nativeblas
This class provides runtime ops lookup, based on opName or opHash.
Nd4jCpu.Pair - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.RandomBuffer - Class in org.nd4j.nativeblas
 
Nd4jCpu.ResultWrapper - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.ShapeInformation - Class in org.nd4j.nativeblas
Shape information approximating the information on an ndarray
Nd4jCpu.ShapeList - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCpu.Workspace - Class in org.nd4j.nativeblas
 
Nd4jCpu.Xoroshiro128 - Class in org.nd4j.nativeblas
 
Nd4jCpuPresets - Class in org.nd4j.nativeblas
 
Nd4jCpuPresets() - Constructor for class org.nd4j.nativeblas.Nd4jCpuPresets
 
Nd4jCuda - Class in org.nd4j.nativeblas
 
Nd4jCuda() - Constructor for class org.nd4j.nativeblas.Nd4jCuda
 
Nd4jCuda._loader - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.ArgumentsList - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.CurrentIndexing - Class in org.nd4j.nativeblas
Indexing information for bounds checking
Nd4jCuda.DoubleBooleanOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleBroadcastableOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleContext - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleContextPrototype - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleDeclarableCustomOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleDeclarableListOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleDeclarableOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleDeclarableReductionOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleGraphState - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleLogicOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleNDArray - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleNDArrayList - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleNDArrayVector - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleNDArrayVector.Iterator - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleOpArgsHolder - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleResultSet - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleStash - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleVariable - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleVariableSpace - Class in org.nd4j.nativeblas
 
Nd4jCuda.DoubleVariablesSet - Class in org.nd4j.nativeblas
 
Nd4jCuda.ExternalWorkspace - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatBooleanOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatBroadcastableOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatContext - Class in org.nd4j.nativeblas
This class defines input desired for any given node/operation within graph
Nd4jCuda.FloatContextPrototype - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatDeclarableCustomOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatDeclarableListOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatDeclarableOp - Class in org.nd4j.nativeblas
This class is the basic building block of Graph Operations.
Nd4jCuda.FloatDeclarableReductionOp - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatGraphState - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatLogicOp - Class in org.nd4j.nativeblas
Logic ops are unique snowflakes in any Graph.
Nd4jCuda.FloatNDArray - Class in org.nd4j.nativeblas
 
Nd4jCuda.FloatNDArrayList - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatNDArrayVector - Class in org.nd4j.nativeblas
 
Nd4jCuda.FloatNDArrayVector.Iterator - Class in org.nd4j.nativeblas
 
Nd4jCuda.FloatOpArgsHolder - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatResultSet - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatStash - Class in org.nd4j.nativeblas
 
Nd4jCuda.FloatVariable - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatVariableSpace - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FloatVariablesSet - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.FlowPath - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.GraphProfile - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.HalfBooleanOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfBroadcastableOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfContext - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfContextPrototype - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfDeclarableCustomOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfDeclarableListOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfDeclarableOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfDeclarableReductionOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfGraphState - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfLogicOp - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfNDArray - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfNDArrayList - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfNDArrayVector - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfNDArrayVector.Iterator - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfOpArgsHolder - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfResultSet - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfStash - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfVariable - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfVariableSpace - Class in org.nd4j.nativeblas
 
Nd4jCuda.HalfVariablesSet - Class in org.nd4j.nativeblas
 
Nd4jCuda.IGenerator - Class in org.nd4j.nativeblas
 
Nd4jCuda.IndicesList - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.Intervals - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.IntIntPair - Class in org.nd4j.nativeblas
 
Nd4jCuda.IntVectorVector - Class in org.nd4j.nativeblas
 
Nd4jCuda.KeyPair - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.LongVectorVector - Class in org.nd4j.nativeblas
 
Nd4jCuda.NativeOps - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.NDIndex - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.NDIndexAll - Class in org.nd4j.nativeblas
 
Nd4jCuda.NDIndexInterval - Class in org.nd4j.nativeblas
 
Nd4jCuda.NDIndexPoint - Class in org.nd4j.nativeblas
 
Nd4jCuda.NodeProfile - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.OpDescriptor - Class in org.nd4j.nativeblas
This class is very basic info holder for ops.
Nd4jCuda.OpRegistrator - Class in org.nd4j.nativeblas
This class provides runtime ops lookup, based on opName or opHash.
Nd4jCuda.Pair - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.RandomBuffer - Class in org.nd4j.nativeblas
 
Nd4jCuda.ResultWrapper - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.ShapeInformation - Class in org.nd4j.nativeblas
Shape information approximating the information on an ndarray
Nd4jCuda.ShapeList - Class in org.nd4j.nativeblas
Copyright (c) 2015-2018 Skymind, Inc.
Nd4jCuda.Workspace - Class in org.nd4j.nativeblas
 
Nd4jCuda.Xoroshiro128 - Class in org.nd4j.nativeblas
 
Nd4jCudaPresets - Class in org.nd4j.nativeblas
 
Nd4jCudaPresets() - Constructor for class org.nd4j.nativeblas.Nd4jCudaPresets
 
Nd4jEnvironment - Class in org.nd4j.linalg.api.environment
An environment descriptor representing the state of the system nd4j is running.
Nd4jEnvironment() - Constructor for class org.nd4j.linalg.api.environment.Nd4jEnvironment
 
ND4JEnvironmentVars - Class in org.nd4j.config
 
ND4JException - Exception in org.nd4j.linalg.exception
Base (unchecked) exception for ND4J errors
ND4JException() - Constructor for exception org.nd4j.linalg.exception.ND4JException
 
ND4JException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JException
 
ND4JException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JException
 
ND4JException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JException
 
ND4JIllegalAccessException - Exception in org.nd4j.linalg.exception
ND4JIllegalAccessException is thrown on illegal access cases, i.e.
ND4JIllegalAccessException() - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalAccessException
 
ND4JIllegalAccessException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalAccessException
 
ND4JIllegalAccessException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalAccessException
 
ND4JIllegalAccessException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalAccessException
 
ND4JIllegalArgumentException - Exception in org.nd4j.linalg.exception
ND4JIllegalStateException: thrown on invalid arguments
ND4JIllegalArgumentException() - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalArgumentException
 
ND4JIllegalArgumentException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalArgumentException
 
ND4JIllegalArgumentException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalArgumentException
 
ND4JIllegalArgumentException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalArgumentException
 
ND4JIllegalStateException - Exception in org.nd4j.linalg.exception
ND4JIllegalStateException: thrown on invalid operations (for example, matrix multiplication with invalid arrays)
ND4JIllegalStateException() - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException
 
ND4JIllegalStateException(String) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException
 
ND4JIllegalStateException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException
 
ND4JIllegalStateException(Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4JIllegalStateException
 
Nd4jInstrumentationConfiguration - Class in org.nd4j.instrumentation.server
Empty configuration for dropwizard
Nd4jInstrumentationConfiguration() - Constructor for class org.nd4j.instrumentation.server.Nd4jInstrumentationConfiguration
 
Nd4jKafkaConsumer - Class in org.nd4j.camel.kafka
Created by agibsonccc on 7/19/16.
Nd4jKafkaConsumer() - Constructor for class org.nd4j.camel.kafka.Nd4jKafkaConsumer
 
Nd4jKafkaProducer - Class in org.nd4j.camel.kafka
Created by agibsonccc on 7/19/16.
Nd4jKafkaProducer() - Constructor for class org.nd4j.camel.kafka.Nd4jKafkaProducer
 
Nd4jKafkaRoute - Class in org.nd4j.camel.kafka
Sends a test ndarray to kafka
Nd4jKafkaRoute() - Constructor for class org.nd4j.camel.kafka.Nd4jKafkaRoute
 
Nd4jNoSuchWorkspaceException - Exception in org.nd4j.linalg.exception
An unchecked (runtime) exception that specifies that the requested workspace does not exist
Nd4jNoSuchWorkspaceException(String) - Constructor for exception org.nd4j.linalg.exception.Nd4jNoSuchWorkspaceException
 
Nd4jNoSuchWorkspaceException(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.Nd4jNoSuchWorkspaceException
 
Nd4jRegistrator - Class in org.nd4j
Spark KryoRegistrator for using Nd4j with Spark + Kryo Use via: sparkConf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer"); sparkConf.set("spark.kryo.registrator", "org.nd4j.Nd4jRegistrator");
Nd4jRegistrator() - Constructor for class org.nd4j.Nd4jRegistrator
 
Nd4jSerializer - Class in org.nd4j
Created by agibsonccc on 5/22/16.
Nd4jSerializer() - Constructor for class org.nd4j.Nd4jSerializer
 
ND4JSystemProperties - Class in org.nd4j.config
 
ND4JTestUtils - Class in org.nd4j.linalg.util
Test utilitiez for ND4J
ND4JTestUtils.ComparisonResult - Class in org.nd4j.linalg.util
 
ND4JTestUtils.EqualsFn - Class in org.nd4j.linalg.util
A function for use with ND4JTestUtils.validateSerializedArrays(File, File, boolean, BiFunction) using INDArray#equals(Object)
ND4JTestUtils.EqualsWithEpsFn - Class in org.nd4j.linalg.util
nd4jTypeFromOnnxType(OnnxProto3.TensorProto.DataType) - Method in class org.nd4j.imports.graphmapper.onnx.OnnxGraphMapper
Convert an onnx type to the proper nd4j type
Nd4jWorkspace - Class in org.nd4j.linalg.memory.abstracts
Basic implementation for MemoryWorkspace interface, further extended in corresponding backends
Nd4jWorkspace(WorkspaceConfiguration) - Constructor for class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
Nd4jWorkspace(WorkspaceConfiguration, String) - Constructor for class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
Nd4jWorkspace.GarbageWorkspaceReference - Class in org.nd4j.linalg.memory.abstracts
 
ND4JWorkspaceException - Exception in org.nd4j.linalg.workspace
An exception to specify than a workspace-related error has occurred
ND4JWorkspaceException() - Constructor for exception org.nd4j.linalg.workspace.ND4JWorkspaceException
 
ND4JWorkspaceException(Throwable) - Constructor for exception org.nd4j.linalg.workspace.ND4JWorkspaceException
 
ND4JWorkspaceException(String) - Constructor for exception org.nd4j.linalg.workspace.ND4JWorkspaceException
 
ND4JWorkspaceException(String, Throwable) - Constructor for exception org.nd4j.linalg.workspace.ND4JWorkspaceException
 
ND4UnresolvedOutputVariables - Exception in org.nd4j.linalg.exception
 
ND4UnresolvedOutputVariables(String) - Constructor for exception org.nd4j.linalg.exception.ND4UnresolvedOutputVariables
 
ND4UnresolvedOutputVariables(String, Throwable) - Constructor for exception org.nd4j.linalg.exception.ND4UnresolvedOutputVariables
 
ndarray() - Method in class org.nd4j.graph.FlatVariable
 
ndarray(FlatArray) - Method in class org.nd4j.graph.FlatVariable
 
NDArray - Class in org.nd4j.linalg.cpu.nativecpu
NDArray: (think numpy)

A few things of note.

NDArray() - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, LongBuffer, long[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, int[], int[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, long[], long[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(double[][]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(double[][], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[], int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Create this ndarray with the given data and shape and 0 offset
NDArray(float[], int[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[], long[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[], long[], long[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(double[], long[], long[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(double[], long[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[], int[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Construct an ndarray of the specified shape with an empty data array
NDArray(long[], long[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[], int[], long, char, boolean) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Construct an ndarray of the specified shape, with optional initialization
NDArray(long[], long[], long, char, boolean) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[], int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Create the ndarray with the specified shape and stride and an offset of 0
NDArray(int[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int, int, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Creates a new n times m DoubleMatrix.
NDArray(long, long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(List<INDArray>, int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Create an ndarray from the specified slices.
NDArray(List<INDArray>, long[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(List<INDArray>, int[], int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Create an ndarray from the specified slices.
NDArray(float[], int[], int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[], int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Create this ndarray with the given data and shape and 0 offset
NDArray(float[], int[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[], int[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Construct an ndarray of the specified shape with an empty data array
NDArray(long[], long[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[], int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Create the ndarray with the specified shape and stride and an offset of 0
NDArray(int[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int, int) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Creates a new n times m DoubleMatrix.
NDArray(long, long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(List<INDArray>, int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Create an ndarray from the specified slices.
NDArray(List<INDArray>, long[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(List<INDArray>, int[], int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
Create an ndarray from the specified slices.
NDArray(List<INDArray>, long[], long[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[], int[], int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[], int[], int[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(double[], int[], int[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[][]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[][], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, int[], int[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[], int[], int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, long[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, int[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(double[], int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(double[], long[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(double[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(float[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(FloatBuffer, char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DataBuffer, int[], int[]) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DoubleBuffer, int[], char) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(DoubleBuffer, int[], long) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDArray(int[], DataBuffer) - Constructor for class org.nd4j.linalg.cpu.nativecpu.NDArray
 
NDARRAY - Static variable in class org.nd4j.nativeblas.Nd4jCpu
enum nd4j::graph::VariableType
NDARRAY - Static variable in class org.nd4j.nativeblas.Nd4jCuda
enum nd4j::graph::VariableType
NDARRAY_FACTORY_CLASS - Static variable in class org.nd4j.linalg.factory.Nd4j
 
NDARRAY_SER_VERSION_HEADER - Static variable in class org.datavec.api.writable.NDArrayWritable
 
NDARRAY_SER_VERSION_HEADER_NULL - Static variable in class org.datavec.api.writable.NDArrayWritable
 
NDArrayAnalysis - Class in org.datavec.api.transform.analysis.columns
Column analysis class for NDArray columns
NDArrayAnalysis() - Constructor for class org.datavec.api.transform.analysis.columns.NDArrayAnalysis
 
NDArrayAnalysisCounter - Class in org.datavec.api.transform.analysis.counter
A counter for performing analysis on NDArray columns
NDArrayAnalysisCounter() - Constructor for class org.datavec.api.transform.analysis.counter.NDArrayAnalysisCounter
 
NDArrayCallback - Interface in org.nd4j.aeron.ipc
An ndarray listener
NDArrayColumnsMathOpTransform - Class in org.datavec.api.transform.ndarray
Perform an element wise mathematical operation on 2 or more NDArray columns
NDArrayColumnsMathOpTransform(String, MathOp, String...) - Constructor for class org.datavec.api.transform.ndarray.NDArrayColumnsMathOpTransform
 
ndArrayColumnsMathOpTransform(String, MathOp, String...) - Method in class org.datavec.api.transform.TransformProcess.Builder
Perform an element wise mathematical operation (such as add, subtract, multiply) on NDArray columns.
NDArrayCompressor - Interface in org.nd4j.linalg.compression
NDArray compressor.
NDArrayCreationUtil - Class in org.nd4j.linalg.checkutil
This class contains utility methods for generating NDArrays for use in unit tests The idea is to generate arrays with a specific shape, after various operations have been undertaken on them So output is after get, reshape, transpose, permute, tensorAlongDimension etc operations have been done
Most useful methods:
- getAllTestMatricesWithShape - getAll4dTestArraysWithShape - getAll4dTestArraysWithShape
NDArrayDeSerializer - Class in org.nd4j.shade.serde.jackson.ndarray
 
NDArrayDeSerializer() - Constructor for class org.nd4j.shade.serde.jackson.ndarray.NDArrayDeSerializer
 
NDArrayDeSerializer - Class in org.nd4j.shade.serde.jackson.shaded
 
NDArrayDeSerializer() - Constructor for class org.nd4j.shade.serde.jackson.shaded.NDArrayDeSerializer
 
NDArrayDistanceTransform - Class in org.datavec.api.transform.ndarray
Calculate the distance (cosine similarity, EUCLIDEAN, MANHATTAN) between two INDArrays
NDArrayDistanceTransform(String, Distance, String, String) - Constructor for class org.datavec.api.transform.ndarray.NDArrayDistanceTransform
 
ndArrayDistanceTransform(String, Distance, String, String) - Method in class org.datavec.api.transform.TransformProcess.Builder
Calculate a distance (cosine similarity, Euclidean, Manhattan) on two equal-sized NDArray columns.
NDArrayFactory - Interface in org.nd4j.linalg.factory
Creation of ndarrays via classpath discovery.
ndArrayFactoryClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
NDArrayFragmentHandler - Class in org.nd4j.aeron.ipc
NDArray fragment handler for listening to an aeron queue
NDArrayFragmentHandler(NDArrayCallback) - Constructor for class org.nd4j.aeron.ipc.NDArrayFragmentHandler
 
ndArrayFromTensor(tensorflow.TF_Tensor) - Method in class org.nd4j.tensorflow.conversion.TensorflowConversion
Convert a INDArray to a tensorflow.TF_Tensor using zero copy.
NDArrayHistogramCounter - Class in org.datavec.api.transform.analysis.histogram
A counter for building histograms on a NDArray columns.
NDArrayHistogramCounter(double, double, int) - Constructor for class org.datavec.api.transform.analysis.histogram.NDArrayHistogramCounter
 
NDArrayHolder - Interface in org.nd4j.aeron.ipc
A simple interface for retrieving an ndarray
ndArrayHolder - Variable in class org.nd4j.parameterserver.updater.BaseParameterUpdater
 
ndArrayHolder() - Method in class org.nd4j.parameterserver.updater.BaseParameterUpdater
Get the ndarray holder for this updater
ndArrayHolder() - Method in interface org.nd4j.parameterserver.updater.ParameterServerUpdater
Get the ndarray holder for this updater
NDArrayIndex - Class in org.nd4j.linalg.indexing
NDArray indexing
NDArrayIndex(long...) - Constructor for class org.nd4j.linalg.indexing.NDArrayIndex
NDArrayIndexing based on the given indexes
NDArrayIndexAll - Class in org.nd4j.linalg.indexing
Mainly meant for internal use: represents all of the elements of a dimension
NDArrayIndexAll(boolean) - Constructor for class org.nd4j.linalg.indexing.NDArrayIndexAll
 
NDArrayIndexEmpty - Class in org.nd4j.linalg.indexing
 
NDArrayIndexEmpty() - Constructor for class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
NdArrayJSONReader - Class in org.nd4j.linalg.api.ndarray
Deprecated.
NdArrayJSONReader() - Constructor for class org.nd4j.linalg.api.ndarray.NdArrayJSONReader
Deprecated.
 
NdArrayJSONWriter - Class in org.nd4j.linalg.api.ndarray
Deprecated.
NDArrayList - Class in org.nd4j.list
An ArrayList like implementation of List using INDArray as the backing data structure
NDArrayList(int) - Constructor for class org.nd4j.list.NDArrayList
Initialize with the desired size.
NDArrayList(INDArray, int) - Constructor for class org.nd4j.list.NDArrayList
Specify the underlying ndarray for this list.
NDArrayList() - Constructor for class org.nd4j.list.NDArrayList
 
NDArrayList(INDArray) - Constructor for class org.nd4j.list.NDArrayList
Specify the underlying ndarray for this list.
NDArrayMath - Class in org.nd4j.linalg.util
 
NDArrayMathFunctionTransform - Class in org.datavec.api.transform.ndarray
A simple transform to do common mathematical operations, such as sin(x), ceil(x), etc.
Operations are performed element-wise on each value in the INDArray; operations are specified by MathFunction
NDArrayMathFunctionTransform(String, MathFunction) - Constructor for class org.datavec.api.transform.ndarray.NDArrayMathFunctionTransform
 
ndArrayMathFunctionTransform(String, MathFunction) - Method in class org.datavec.api.transform.TransformProcess.Builder
Apply an element wise mathematical function (sin, tanh, abs etc) to an NDArray column.
NDArrayMessage - Class in org.nd4j.aeron.ipc
A message sent over the wire for ndarrays includ ing the timestamp sent (in nanoseconds), index (for tensor along dimension view based updates) and dimensions.
NDArrayMessage() - Constructor for class org.nd4j.aeron.ipc.NDArrayMessage
 
NDArrayMessage.MessageType - Enum in org.nd4j.aeron.ipc
 
NDArrayMessage.MessageValidity - Enum in org.nd4j.aeron.ipc
 
NDArrayMessageChunk - Class in org.nd4j.aeron.ipc.chunk
An NDArrayMessageChunk represents a chunked NDArrayMessage that needs to be reassembled.
NDArrayMessageChunk() - Constructor for class org.nd4j.aeron.ipc.chunk.NDArrayMessageChunk
 
NDArrayMetaData - Class in org.datavec.api.transform.metadata
Meta data class for NDArray columns
NDArrayMetaData(String, long[]) - Constructor for class org.datavec.api.transform.metadata.NDArrayMetaData
 
NDArrayRecordBatch - Class in org.datavec.api.writable.batch
A List<List<Writable>> record batch, backed by a List<INDArray>
Each INDArray in the underlying list is assumed to represent a minibatch of examples, with dimension 0 indexing the example.
NDArrayRecordBatch(INDArray...) - Constructor for class org.datavec.api.writable.batch.NDArrayRecordBatch
 
NDArrayRecordBatch(List<INDArray>) - Constructor for class org.datavec.api.writable.batch.NDArrayRecordBatch
 
NDArrayResponseFragmentHandler - Class in org.nd4j.aeron.ipc.response
A subscriber that listens for host port pairs in the form of host:port.
NDArrayResponseFragmentHandler() - Constructor for class org.nd4j.aeron.ipc.response.NDArrayResponseFragmentHandler
 
NDArrayScalarOpTransform - Class in org.datavec.api.transform.ndarray
Perform an NDArray/scalar element wise operation, such as X.addi(scalar).
NDArrayScalarOpTransform(String, MathOp, double) - Constructor for class org.datavec.api.transform.ndarray.NDArrayScalarOpTransform
 
ndArrayScalarOpTransform(String, MathOp, double) - Method in class org.datavec.api.transform.TransformProcess.Builder
Element-wise NDArray math operation (add, subtract, etc) on an NDArray column
NDArraySerializer - Class in org.nd4j.shade.serde.jackson.ndarray
 
NDArraySerializer() - Constructor for class org.nd4j.shade.serde.jackson.ndarray.NDArraySerializer
 
NDArraySerializer - Class in org.nd4j.shade.serde.jackson.shaded
 
NDArraySerializer() - Constructor for class org.nd4j.shade.serde.jackson.shaded.NDArraySerializer
 
NDArrayShapeAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
 
NDArrayShapeAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.NDArrayShapeAdapter
 
NDArrayStrings - Class in org.nd4j.linalg.string
String representation of an ndarray.
NDArrayStrings() - Constructor for class org.nd4j.linalg.string.NDArrayStrings
 
NDArrayStrings(String) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
 
NDArrayStrings(int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
Specify the number of digits after the decimal point to include
NDArrayStrings(String, int) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
Specify a delimiter for elements in columns for 2d arrays (or in the rank-1th dimension in higher order arrays) Separator in elements in remaining dimensions defaults to ",\n"
NDArrayStrings(String, String) - Constructor for class org.nd4j.linalg.string.NDArrayStrings
Specify a col separator and a decimal format string
NDArraySupplierInitScheme - Class in org.nd4j.weightinit.impl
 
NDArraySupplierInitScheme() - Constructor for class org.nd4j.weightinit.impl.NDArraySupplierInitScheme
 
NDArraySupplierInitScheme.NDArraySupplier - Interface in org.nd4j.weightinit.impl
A simple facade
NDArrayToWritablesFunction - Class in org.datavec.local.transforms.misc
Function for converting NDArrays to lists of writables.
NDArrayToWritablesFunction() - Constructor for class org.datavec.local.transforms.misc.NDArrayToWritablesFunction
 
NDArrayToWritablesFunction - Class in org.datavec.spark.transform.misc
Function for converting NDArrays to lists of writables.
NDArrayToWritablesFunction() - Constructor for class org.datavec.spark.transform.misc.NDArrayToWritablesFunction
 
NDArrayUnpackAction - Class in org.nd4j.linalg.env.impl
 
NDArrayUnpackAction() - Constructor for class org.nd4j.linalg.env.impl.NDArrayUnpackAction
 
NDArrayUtil - Class in org.nd4j.linalg.util
Created by agibsonccc on 2/26/16.
ndarrayVectorOf(BufferAllocator, String, int) - Static method in class org.datavec.arrow.ArrowConverter
Create an ndarray vector that stores structs of INDArray based on the Tensor format
NDArrayWritable - Class in org.datavec.api.writable
A Writable that basically wraps an INDArray.
NDArrayWritable() - Constructor for class org.datavec.api.writable.NDArrayWritable
 
NDArrayWritable(INDArray) - Constructor for class org.datavec.api.writable.NDArrayWritable
 
NDIndex(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndex
Pointer cast constructor.
NDIndex(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndex
Native array allocator.
NDIndex() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndex
 
NDIndex(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndex
Pointer cast constructor.
NDIndex(long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndex
Native array allocator.
NDIndex() - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndex
 
NDIndexAll(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndexAll
Pointer cast constructor.
NDIndexAll(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndexAll
Native array allocator.
NDIndexAll() - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndexAll
 
NDIndexAll(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndexAll
Pointer cast constructor.
NDIndexAll(long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndexAll
Native array allocator.
NDIndexAll() - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndexAll
 
NDIndexInterval(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndexInterval
Pointer cast constructor.
NDIndexInterval(long, long, long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndexInterval
 
NDIndexInterval(long, long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndexInterval
 
NDIndexInterval(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndexInterval
Pointer cast constructor.
NDIndexInterval(long, long, long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndexInterval
 
NDIndexInterval(long, long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndexInterval
 
NdIndexIterator - Class in org.nd4j.linalg.api.iter
Iterates and returns int arrays over a particular shape.
NdIndexIterator(int...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator
Pass in the shape to iterate over.
NdIndexIterator(long...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator
 
NdIndexIterator(char, boolean, long...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator
Pass in the shape to iterate over.
NdIndexIterator(char, int...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator
Pass in the shape to iterate over
NdIndexIterator(char, long...) - Constructor for class org.nd4j.linalg.api.iter.NdIndexIterator
 
NDIndexPoint(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndexPoint
Pointer cast constructor.
NDIndexPoint(long) - Constructor for class org.nd4j.nativeblas.Nd4jCpu.NDIndexPoint
 
NDIndexPoint(Pointer) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndexPoint
Pointer cast constructor.
NDIndexPoint(long) - Constructor for class org.nd4j.nativeblas.Nd4jCuda.NDIndexPoint
 
nearestCluster(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
nearestLabels(LabelledDocument, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns top N labels nearest to specified document
nearestLabels(String, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns top N labels nearest to specified text
nearestLabels(Collection<VocabWord>, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns top N labels nearest to specified set of vocab words
nearestLabels(INDArray, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns top N labels nearest to specified features vector
NearestNeighbor - Class in org.deeplearning4j.nearestneighbor.server
Created by agibsonccc on 4/27/17.
NearestNeighbor() - Constructor for class org.deeplearning4j.nearestneighbor.server.NearestNeighbor
 
NearestNeighborRequest - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 4/26/17.
NearestNeighborRequest() - Constructor for class org.deeplearning4j.nearestneighbor.model.NearestNeighborRequest
 
NearestNeighborsClient - Class in org.deeplearning4j.nearestneighbor.client
Client for the nearest neighbors server.
NearestNeighborsClient(String) - Constructor for class org.deeplearning4j.nearestneighbor.client.NearestNeighborsClient
 
NearestNeighborsQuery - Class in org.deeplearning4j.ui.nearestneighbors.word2vec
 
NearestNeighborsQuery(String, int) - Constructor for class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
NearestNeighborsQuery() - Constructor for class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
NearestNeighborsResult - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 4/26/17.
NearestNeighborsResult(int, double) - Constructor for class org.deeplearning4j.nearestneighbor.model.NearestNeighborsResult
 
NearestNeighborsResults - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 4/27/17.
NearestNeighborsResults() - Constructor for class org.deeplearning4j.nearestneighbor.model.NearestNeighborsResults
 
NearestNeighborsServer - Class in org.deeplearning4j.nearestneighbor.server
A rest server for using an VPTree based on loading an ndarray containing the data points for the path The input values are an CSVRecord which (based on the input schema) will automatically have their values transformed.
NearestNeighborsServer() - Constructor for class org.deeplearning4j.nearestneighbor.server.NearestNeighborsServer
 
NearestVertexWalker<V extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
This walker represents connections of a given node + their neighborhoods up to certain depth.
NearestVertexWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
NearestVertexWalker.Builder<V extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
NearestVertexWalker.VertexComparator<V extends SequenceElement,E extends java.lang.Number> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
needsBootstrapForWrite() - Method in class org.datavec.api.split.CollectionInputSplit
 
needsBootstrapForWrite() - Method in class org.datavec.api.split.FileSplit
 
needsBootstrapForWrite() - Method in interface org.datavec.api.split.InputSplit
Returns true if this InputSplit needs bootstrapping for writing.
needsBootstrapForWrite() - Method in class org.datavec.api.split.InputStreamInputSplit
 
needsBootstrapForWrite() - Method in class org.datavec.api.split.ListStringSplit
 
needsBootstrapForWrite() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
needsBootstrapForWrite() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
needsBootstrapForWrite() - Method in class org.datavec.api.split.StringSplit
 
needsBootstrapForWrite() - Method in class org.datavec.api.split.TransformSplit
 
needsLabels() - Method in interface org.deeplearning4j.nn.api.layers.IOutputLayer
Returns true if labels are required for this output layer
needsLabels() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
needsNewPartition() - Method in class org.datavec.api.split.partition.NumberOfRecordsPartitioner
 
needsNewPartition() - Method in interface org.datavec.api.split.partition.Partitioner
Returns true if the partition needs to be moved to the next.
neg(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
neg(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise negative operation: out = -x
neg(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Elementwise negative operation: out = -x
neg() - Method in class org.nd4j.autodiff.samediff.SDVariable
Negate op
neg(String) - Method in class org.nd4j.autodiff.samediff.SDVariable
Negate op
neg() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Negate each element.
neg() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
neg() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the ndarray negative (cloned)
neg(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Returns the negative of an ndarray
neg(INDArray, boolean) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Negative
negative() - Method in class org.deeplearning4j.eval.Evaluation
Total negatives true negatives + false negatives
negative - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
negative(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
negative - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
negative - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
negative(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
negative - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
negative(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
negative - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
negative(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies negative sampling
negative(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
NEGATIVE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
NEGATIVE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
Negative - Class in org.nd4j.linalg.api.ops.impl.transforms
Negative function
Negative(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
Negative(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
Negative(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
Negative() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
Negative(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
Negative(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
Negative(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
Negative(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.Negative
 
NEGATIVE_TABLE - Static variable in class org.nd4j.parameterserver.distributed.logic.storage.WordVectorStorage
 
NegativeDefaultStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
Inverse step function
NegativeDefaultStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction
 
NegativeDefaultStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
Inverse step function
NegativeDefaultStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.NegativeDefaultStepFunction
 
NegativeGradientStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
Subtract the line
NegativeGradientStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction
 
NegativeGradientStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
Subtract the line
NegativeGradientStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.NegativeGradientStepFunction
 
NegativeHolder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Simple singleton holder class for w2v negative sampling, to avoid syn1Neg creation for each spark node
negativeLogLikelihood(String, SDVariable, SDVariable, SDVariable, LossFunctions.Reduction, int...) - Static method in class org.nd4j.autodiff.loss.LossFunctions
 
negatives - Variable in class org.nd4j.parameterserver.distributed.messages.requests.CbowRequestMessage
 
negatives - Variable in class org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMessage
 
negativeSample(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Deprecated.
negativeSample(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
negativeSample(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines whether negative sampling should be used or not PLEASE NOTE: If you're going to use negative sampling, you might want to disable HierarchicSoftmax, which is enabled by default Default value: 0
negativeSample(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines negative sampling value for skip-gram algorithm.
negativeSample(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines whether negative sampling should be used or not PLEASE NOTE: If you're going to use negative sampling, you might want to disable HierarchicSoftmax, which is enabled by default Default value: 0
negativeSampling(long) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
negativeSampling(long) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
negi() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Negate each element (in-place).
negi() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
negi() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
In place setting of the negative version of this ndarray
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
negLogProbability(INDArray, INDArray, boolean) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Calculate the negative log probability (summed or averaged over each example in the minibatch)
negSamples - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedCbowDotMessage
 
negSamples - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSgDotMessage
 
negSamples - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSkipGramMessage
 
negSamples - Variable in class org.nd4j.parameterserver.distributed.messages.requests.CbowRequestMessage
 
negSamples - Variable in class org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMessage
 
neq(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
neq(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
neq(SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Not equals operation: elementwise x != y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise
neq(String, SDVariable, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Not equals operation: elementwise x != y
Returns an array with the same shape/size as the input, with values 1 where condition is satisfied, or value 0 otherwise
neq(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Not equal to operation: elementwise x != y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
neq(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Not equal to operation: elementwise x != y
If x and y arrays have equal shape, the output shape is the same as these inputs.
Note: supports broadcasting if x and y have different shapes and are broadcastable.
Returns an array with values 1 where condition is satisfied, or value 0 otherwise.
neq(double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
neq(String, double) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
neq(SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
neq(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SDVariable
 
neq(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
neq(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
neq(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
neq(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
neq(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Not equals" comparison.
neq(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Not equals" comparison.
neq(INDArray, INDArray, INDArray, int...) - Static method in class org.nd4j.linalg.factory.Broadcast
Broadcast not equal to op.
neqi(SDVariable, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
neqi(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
neqi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
neqi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
neqi(Number) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
neqi(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
neqi(Number) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Not equals" comparison.
neqi(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Returns the binary ndarray for "Not equals" comparison.
NestedPoint - Class in org.nd4j.jita.allocator.impl
 
NestedPoint(AllocationShape) - Constructor for class org.nd4j.jita.allocator.impl.NestedPoint
 
Nesterovs - Class in org.nd4j.linalg.learning.config
Nesterov's momentum.
Nesterovs() - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
 
Nesterovs(double) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
 
Nesterovs(double, double) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
 
Nesterovs(ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
 
Nesterovs(ISchedule, double) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
 
Nesterovs(ISchedule, ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
 
Nesterovs(double, ISchedule) - Constructor for class org.nd4j.linalg.learning.config.Nesterovs
 
Nesterovs.Builder - Class in org.nd4j.linalg.learning.config
 
NesterovsSpace - Class in org.deeplearning4j.arbiter.conf.updater
 
NesterovsSpace(ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
NesterovsSpace(ParameterSpace<Double>, ParameterSpace<Double>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
NesterovsSpace(ParameterSpace<Double>, ParameterSpace<ISchedule>, ParameterSpace<Double>, ParameterSpace<ISchedule>) - Constructor for class org.deeplearning4j.arbiter.conf.updater.NesterovsSpace
 
NesterovsUpdater - Class in org.nd4j.linalg.learning
Nesterov's momentum.
NesterovsUpdater(Nesterovs) - Constructor for class org.nd4j.linalg.learning.NesterovsUpdater
 
NetBroadcastTuple - Class in org.deeplearning4j.spark.api.worker
A simple class for storing configurations, parameters and updaters in one class (so they can be broadcast together)
NetBroadcastTuple(MultiLayerConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
 
NetBroadcastTuple(ComputationGraphConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
 
NetBroadcastTuple(MultiLayerConfiguration, ComputationGraphConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
 
NetBroadcastTuple(MultiLayerConfiguration, ComputationGraphConfiguration, INDArray, INDArray, AtomicInteger) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
 
network - Variable in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
NetworkInformation - Class in org.nd4j.parameterserver.distributed.util
 
NetworkInformation() - Constructor for class org.nd4j.parameterserver.distributed.util.NetworkInformation
 
networkInputs - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
networkInputs - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace
 
networkInputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
networkInputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
List of inputs to the network, by name
networkInputTypes - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
networkMask - Variable in class org.nd4j.parameterserver.distributed.util.NetworkOrganizer
 
NetworkMemoryReport - Class in org.deeplearning4j.nn.conf.memory
Network memory reports is a class that is used to store/represent the memory requirements of a MultiLayerNetwork or ComputationGraph, composed of multiple layers and/or vertices.
NetworkMemoryReport(Map<String, MemoryReport>, Class<?>, String, InputType...) - Constructor for class org.deeplearning4j.nn.conf.memory.NetworkMemoryReport
 
NetworkOrganizer - Class in org.nd4j.parameterserver.distributed.util
Utility class that provides
NetworkOrganizer(Collection<NetworkInformation>) - Constructor for class org.nd4j.parameterserver.distributed.util.NetworkOrganizer
This constructor is NOT implemented yet
NetworkOrganizer(Collection<NetworkInformation>, String) - Constructor for class org.nd4j.parameterserver.distributed.util.NetworkOrganizer
 
NetworkOrganizer(String) - Constructor for class org.nd4j.parameterserver.distributed.util.NetworkOrganizer
This constructor builds format from own
NetworkOrganizer.VirtualNode - Class in org.nd4j.parameterserver.distributed.util
 
NetworkOrganizer.VirtualTree - Class in org.nd4j.parameterserver.distributed.util
 
networkOutputs - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
networkOutputs - Variable in class org.deeplearning4j.arbiter.ComputationGraphSpace
 
networkOutputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
networkOutputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
List of network outputs, by name
NetworkUtils - Class in org.deeplearning4j.util
 
NEURAL_NET_ITERATION_LISTENER - Static variable in class org.deeplearning4j.rl4j.util.Constants
 
NEURAL_NET_SEED - Static variable in class org.deeplearning4j.rl4j.util.Constants
 
NeuralNet<NN extends NeuralNet> - Interface in org.deeplearning4j.rl4j.network
 
NeuralNetConfiguration - Class in org.deeplearning4j.nn.conf
A Serializable configuration for neural nets that covers per layer parameters
NeuralNetConfiguration() - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
NeuralNetConfiguration.Builder - Class in org.deeplearning4j.nn.conf
NeuralNetConfiguration builder, used as a starting point for creating a MultiLayerConfiguration or ComputationGraphConfiguration.
Note that values set here on the layer will be applied to all relevant layers - unless the value is overridden on a layer's configuration
NeuralNetConfiguration.ListBuilder - Class in org.deeplearning4j.nn.conf
Fluent interface for building a list of configurations
NeuralNetConfiguration.ListBuilder.InputTypeBuilder - Class in org.deeplearning4j.nn.conf
Helper class for setting input types
NeuralNetFetchable<NN extends NeuralNet> - Interface in org.deeplearning4j.rl4j.learning
 
NeuralNetTypeValidator - Class in org.deeplearning4j.arbiter.server.cli
Created by agibsonccc on 3/13/17.
NeuralNetTypeValidator() - Constructor for class org.deeplearning4j.arbiter.server.cli.NeuralNetTypeValidator
 
NeuralNetwork - Interface in org.deeplearning4j.nn.api
 
NEW_LINE - Static variable in class org.datavec.api.records.writer.impl.FileRecordWriter
 
newAxis() - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Represents adding a new dimension
NewAxis - Class in org.nd4j.linalg.indexing
New axis index.
NewAxis() - Constructor for class org.nd4j.linalg.indexing.NewAxis
 
newBuilder() - Static method in class onnx.OnnxMlProto3.AttributeProto
 
newBuilder(OnnxMlProto3.AttributeProto) - Static method in class onnx.OnnxMlProto3.AttributeProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.GraphProto
 
newBuilder(OnnxMlProto3.GraphProto) - Static method in class onnx.OnnxMlProto3.GraphProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.ModelProto
 
newBuilder(OnnxMlProto3.ModelProto) - Static method in class onnx.OnnxMlProto3.ModelProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.NodeProto
 
newBuilder(OnnxMlProto3.NodeProto) - Static method in class onnx.OnnxMlProto3.NodeProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.OperatorSetIdProto
 
newBuilder(OnnxMlProto3.OperatorSetIdProto) - Static method in class onnx.OnnxMlProto3.OperatorSetIdProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.StringStringEntryProto
 
newBuilder(OnnxMlProto3.StringStringEntryProto) - Static method in class onnx.OnnxMlProto3.StringStringEntryProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.TensorProto
 
newBuilder(OnnxMlProto3.TensorProto) - Static method in class onnx.OnnxMlProto3.TensorProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.TensorProto.Segment
 
newBuilder(OnnxMlProto3.TensorProto.Segment) - Static method in class onnx.OnnxMlProto3.TensorProto.Segment
 
newBuilder() - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
newBuilder(OnnxMlProto3.TensorShapeProto.Dimension) - Static method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
newBuilder() - Static method in class onnx.OnnxMlProto3.TensorShapeProto
 
newBuilder(OnnxMlProto3.TensorShapeProto) - Static method in class onnx.OnnxMlProto3.TensorShapeProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.TypeProto.Map
 
newBuilder(OnnxMlProto3.TypeProto.Map) - Static method in class onnx.OnnxMlProto3.TypeProto.Map
 
newBuilder() - Static method in class onnx.OnnxMlProto3.TypeProto
 
newBuilder(OnnxMlProto3.TypeProto) - Static method in class onnx.OnnxMlProto3.TypeProto
 
newBuilder() - Static method in class onnx.OnnxMlProto3.TypeProto.Sequence
 
newBuilder(OnnxMlProto3.TypeProto.Sequence) - Static method in class onnx.OnnxMlProto3.TypeProto.Sequence
 
newBuilder() - Static method in class onnx.OnnxMlProto3.TypeProto.Tensor
 
newBuilder(OnnxMlProto3.TypeProto.Tensor) - Static method in class onnx.OnnxMlProto3.TypeProto.Tensor
 
newBuilder() - Static method in class onnx.OnnxMlProto3.ValueInfoProto
 
newBuilder(OnnxMlProto3.ValueInfoProto) - Static method in class onnx.OnnxMlProto3.ValueInfoProto
 
newBuilder() - Static method in class onnx.OnnxOperatorsProto3.OperatorProto
 
newBuilder(OnnxOperatorsProto3.OperatorProto) - Static method in class onnx.OnnxOperatorsProto3.OperatorProto
 
newBuilder() - Static method in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
newBuilder(OnnxOperatorsProto3.OperatorSetProto) - Static method in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
newBuilder() - Static method in class onnx.OnnxProto3.AttributeProto
 
newBuilder(OnnxProto3.AttributeProto) - Static method in class onnx.OnnxProto3.AttributeProto
 
newBuilder() - Static method in class onnx.OnnxProto3.GraphProto
 
newBuilder(OnnxProto3.GraphProto) - Static method in class onnx.OnnxProto3.GraphProto
 
newBuilder() - Static method in class onnx.OnnxProto3.ModelProto
 
newBuilder(OnnxProto3.ModelProto) - Static method in class onnx.OnnxProto3.ModelProto
 
newBuilder() - Static method in class onnx.OnnxProto3.NodeProto
 
newBuilder(OnnxProto3.NodeProto) - Static method in class onnx.OnnxProto3.NodeProto
 
newBuilder() - Static method in class onnx.OnnxProto3.OperatorSetIdProto
 
newBuilder(OnnxProto3.OperatorSetIdProto) - Static method in class onnx.OnnxProto3.OperatorSetIdProto
 
newBuilder() - Static method in class onnx.OnnxProto3.StringStringEntryProto
 
newBuilder(OnnxProto3.StringStringEntryProto) - Static method in class onnx.OnnxProto3.StringStringEntryProto
 
newBuilder() - Static method in class onnx.OnnxProto3.TensorProto
 
newBuilder(OnnxProto3.TensorProto) - Static method in class onnx.OnnxProto3.TensorProto
 
newBuilder() - Static method in class onnx.OnnxProto3.TensorProto.Segment
 
newBuilder(OnnxProto3.TensorProto.Segment) - Static method in class onnx.OnnxProto3.TensorProto.Segment
 
newBuilder() - Static method in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
newBuilder(OnnxProto3.TensorShapeProto.Dimension) - Static method in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
newBuilder() - Static method in class onnx.OnnxProto3.TensorShapeProto
 
newBuilder(OnnxProto3.TensorShapeProto) - Static method in class onnx.OnnxProto3.TensorShapeProto
 
newBuilder() - Static method in class onnx.OnnxProto3.TypeProto
 
newBuilder(OnnxProto3.TypeProto) - Static method in class onnx.OnnxProto3.TypeProto
 
newBuilder() - Static method in class onnx.OnnxProto3.TypeProto.Tensor
 
newBuilder(OnnxProto3.TypeProto.Tensor) - Static method in class onnx.OnnxProto3.TypeProto.Tensor
 
newBuilder() - Static method in class onnx.OnnxProto3.ValueInfoProto
 
newBuilder(OnnxProto3.ValueInfoProto) - Static method in class onnx.OnnxProto3.ValueInfoProto
 
newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractDataSetNormalizer
 
newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.AbstractMultiDataSetNormalizer
 
newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerMinMaxScaler
 
newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize
 
newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler
 
newBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize
 
newBuilder() - Static method in class org.tensorflow.framework.AllocationDescription
 
newBuilder(AllocationDescription) - Static method in class org.tensorflow.framework.AllocationDescription
 
newBuilder() - Static method in class org.tensorflow.framework.AllocationRecord
 
newBuilder(AllocationRecord) - Static method in class org.tensorflow.framework.AllocationRecord
 
newBuilder() - Static method in class org.tensorflow.framework.AllocatorMemoryUsed
 
newBuilder(AllocatorMemoryUsed) - Static method in class org.tensorflow.framework.AllocatorMemoryUsed
 
newBuilder() - Static method in class org.tensorflow.framework.ApiDef.Arg
 
newBuilder(ApiDef.Arg) - Static method in class org.tensorflow.framework.ApiDef.Arg
 
newBuilder() - Static method in class org.tensorflow.framework.ApiDef.Attr
 
newBuilder(ApiDef.Attr) - Static method in class org.tensorflow.framework.ApiDef.Attr
 
newBuilder() - Static method in class org.tensorflow.framework.ApiDef.Endpoint
 
newBuilder(ApiDef.Endpoint) - Static method in class org.tensorflow.framework.ApiDef.Endpoint
 
newBuilder() - Static method in class org.tensorflow.framework.ApiDef
 
newBuilder(ApiDef) - Static method in class org.tensorflow.framework.ApiDef
 
newBuilder() - Static method in class org.tensorflow.framework.ApiDefs
 
newBuilder(ApiDefs) - Static method in class org.tensorflow.framework.ApiDefs
 
newBuilder() - Static method in class org.tensorflow.framework.AttrValue.ListValue
 
newBuilder(AttrValue.ListValue) - Static method in class org.tensorflow.framework.AttrValue.ListValue
 
newBuilder() - Static method in class org.tensorflow.framework.AttrValue
 
newBuilder(AttrValue) - Static method in class org.tensorflow.framework.AttrValue
 
newBuilder() - Static method in class org.tensorflow.framework.CostGraphDef
 
newBuilder(CostGraphDef) - Static method in class org.tensorflow.framework.CostGraphDef
 
newBuilder() - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
 
newBuilder(CostGraphDef.Node.InputInfo) - Static method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
 
newBuilder() - Static method in class org.tensorflow.framework.CostGraphDef.Node
 
newBuilder(CostGraphDef.Node) - Static method in class org.tensorflow.framework.CostGraphDef.Node
 
newBuilder() - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
newBuilder(CostGraphDef.Node.OutputInfo) - Static method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
newBuilder() - Static method in class org.tensorflow.framework.DeviceAttributes
 
newBuilder(DeviceAttributes) - Static method in class org.tensorflow.framework.DeviceAttributes
 
newBuilder() - Static method in class org.tensorflow.framework.DeviceLocality
 
newBuilder(DeviceLocality) - Static method in class org.tensorflow.framework.DeviceLocality
 
newBuilder() - Static method in class org.tensorflow.framework.DeviceStepStats
 
newBuilder(DeviceStepStats) - Static method in class org.tensorflow.framework.DeviceStepStats
 
newBuilder() - Static method in class org.tensorflow.framework.FunctionDef
 
newBuilder(FunctionDef) - Static method in class org.tensorflow.framework.FunctionDef
 
newBuilder() - Static method in class org.tensorflow.framework.FunctionDefLibrary
 
newBuilder(FunctionDefLibrary) - Static method in class org.tensorflow.framework.FunctionDefLibrary
 
newBuilder() - Static method in class org.tensorflow.framework.GradientDef
 
newBuilder(GradientDef) - Static method in class org.tensorflow.framework.GradientDef
 
newBuilder() - Static method in class org.tensorflow.framework.GraphDef
 
newBuilder(GraphDef) - Static method in class org.tensorflow.framework.GraphDef
 
newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
newBuilder(GraphTransferInfo.ConstNodeInfo) - Static method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
 
newBuilder(GraphTransferInfo.GraphInputNodeInfo) - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
 
newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
 
newBuilder(GraphTransferInfo.GraphOutputNodeInfo) - Static method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
 
newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo
 
newBuilder(GraphTransferInfo) - Static method in class org.tensorflow.framework.GraphTransferInfo
 
newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
newBuilder(GraphTransferInfo.NodeInfo) - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
 
newBuilder(GraphTransferInfo.NodeInput) - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
 
newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
 
newBuilder(GraphTransferInfo.NodeInputInfo) - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
 
newBuilder() - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
 
newBuilder(GraphTransferInfo.NodeOutputInfo) - Static method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
 
newBuilder() - Static method in class org.tensorflow.framework.HistogramProto
 
newBuilder(HistogramProto) - Static method in class org.tensorflow.framework.HistogramProto
 
newBuilder() - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint
 
newBuilder(KernelDef.AttrConstraint) - Static method in class org.tensorflow.framework.KernelDef.AttrConstraint
 
newBuilder() - Static method in class org.tensorflow.framework.KernelDef
 
newBuilder(KernelDef) - Static method in class org.tensorflow.framework.KernelDef
 
newBuilder() - Static method in class org.tensorflow.framework.MemoryLogRawAllocation
 
newBuilder(MemoryLogRawAllocation) - Static method in class org.tensorflow.framework.MemoryLogRawAllocation
 
newBuilder() - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation
 
newBuilder(MemoryLogRawDeallocation) - Static method in class org.tensorflow.framework.MemoryLogRawDeallocation
 
newBuilder() - Static method in class org.tensorflow.framework.MemoryLogStep
 
newBuilder(MemoryLogStep) - Static method in class org.tensorflow.framework.MemoryLogStep
 
newBuilder() - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation
 
newBuilder(MemoryLogTensorAllocation) - Static method in class org.tensorflow.framework.MemoryLogTensorAllocation
 
newBuilder() - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
newBuilder(MemoryLogTensorDeallocation) - Static method in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
newBuilder() - Static method in class org.tensorflow.framework.MemoryLogTensorOutput
 
newBuilder(MemoryLogTensorOutput) - Static method in class org.tensorflow.framework.MemoryLogTensorOutput
 
newBuilder() - Static method in class org.tensorflow.framework.MemoryStats
 
newBuilder(MemoryStats) - Static method in class org.tensorflow.framework.MemoryStats
 
newBuilder() - Static method in class org.tensorflow.framework.NameAttrList
 
newBuilder(NameAttrList) - Static method in class org.tensorflow.framework.NameAttrList
 
newBuilder() - Static method in class org.tensorflow.framework.NodeDef
 
newBuilder(NodeDef) - Static method in class org.tensorflow.framework.NodeDef
 
newBuilder() - Static method in class org.tensorflow.framework.NodeExecStats
 
newBuilder(NodeExecStats) - Static method in class org.tensorflow.framework.NodeExecStats
 
newBuilder() - Static method in class org.tensorflow.framework.NodeOutput
 
newBuilder(NodeOutput) - Static method in class org.tensorflow.framework.NodeOutput
 
newBuilder() - Static method in class org.tensorflow.framework.OpDef.ArgDef
 
newBuilder(OpDef.ArgDef) - Static method in class org.tensorflow.framework.OpDef.ArgDef
 
newBuilder() - Static method in class org.tensorflow.framework.OpDef.AttrDef
 
newBuilder(OpDef.AttrDef) - Static method in class org.tensorflow.framework.OpDef.AttrDef
 
newBuilder() - Static method in class org.tensorflow.framework.OpDef
 
newBuilder(OpDef) - Static method in class org.tensorflow.framework.OpDef
 
newBuilder() - Static method in class org.tensorflow.framework.OpDeprecation
 
newBuilder(OpDeprecation) - Static method in class org.tensorflow.framework.OpDeprecation
 
newBuilder() - Static method in class org.tensorflow.framework.OpList
 
newBuilder(OpList) - Static method in class org.tensorflow.framework.OpList
 
newBuilder() - Static method in class org.tensorflow.framework.ReaderBaseState
 
newBuilder(ReaderBaseState) - Static method in class org.tensorflow.framework.ReaderBaseState
 
newBuilder() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
newBuilder(RemoteFusedGraphExecuteInfo) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
newBuilder() - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
 
newBuilder(RemoteFusedGraphExecuteInfo.TensorShapeTypeProto) - Static method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
 
newBuilder() - Static method in class org.tensorflow.framework.ResourceHandleProto
 
newBuilder(ResourceHandleProto) - Static method in class org.tensorflow.framework.ResourceHandleProto
 
newBuilder() - Static method in class org.tensorflow.framework.SaveSliceInfoDef
 
newBuilder(SaveSliceInfoDef) - Static method in class org.tensorflow.framework.SaveSliceInfoDef
 
newBuilder() - Static method in class org.tensorflow.framework.StepStats
 
newBuilder(StepStats) - Static method in class org.tensorflow.framework.StepStats
 
newBuilder() - Static method in class org.tensorflow.framework.Summary.Audio
 
newBuilder(Summary.Audio) - Static method in class org.tensorflow.framework.Summary.Audio
 
newBuilder() - Static method in class org.tensorflow.framework.Summary.Image
 
newBuilder(Summary.Image) - Static method in class org.tensorflow.framework.Summary.Image
 
newBuilder() - Static method in class org.tensorflow.framework.Summary
 
newBuilder(Summary) - Static method in class org.tensorflow.framework.Summary
 
newBuilder() - Static method in class org.tensorflow.framework.Summary.Value
 
newBuilder(Summary.Value) - Static method in class org.tensorflow.framework.Summary.Value
 
newBuilder() - Static method in class org.tensorflow.framework.SummaryDescription
 
newBuilder(SummaryDescription) - Static method in class org.tensorflow.framework.SummaryDescription
 
newBuilder() - Static method in class org.tensorflow.framework.SummaryMetadata
 
newBuilder(SummaryMetadata) - Static method in class org.tensorflow.framework.SummaryMetadata
 
newBuilder() - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData
 
newBuilder(SummaryMetadata.PluginData) - Static method in class org.tensorflow.framework.SummaryMetadata.PluginData
 
newBuilder() - Static method in class org.tensorflow.framework.TensorDescription
 
newBuilder(TensorDescription) - Static method in class org.tensorflow.framework.TensorDescription
 
newBuilder() - Static method in class org.tensorflow.framework.TensorProto
 
newBuilder(TensorProto) - Static method in class org.tensorflow.framework.TensorProto
 
newBuilder() - Static method in class org.tensorflow.framework.TensorShapeProto.Dim
 
newBuilder(TensorShapeProto.Dim) - Static method in class org.tensorflow.framework.TensorShapeProto.Dim
 
newBuilder() - Static method in class org.tensorflow.framework.TensorShapeProto
 
newBuilder(TensorShapeProto) - Static method in class org.tensorflow.framework.TensorShapeProto
 
newBuilder() - Static method in class org.tensorflow.framework.TensorSliceProto.Extent
 
newBuilder(TensorSliceProto.Extent) - Static method in class org.tensorflow.framework.TensorSliceProto.Extent
 
newBuilder() - Static method in class org.tensorflow.framework.TensorSliceProto
 
newBuilder(TensorSliceProto) - Static method in class org.tensorflow.framework.TensorSliceProto
 
newBuilder() - Static method in class org.tensorflow.framework.VariableDef
 
newBuilder(VariableDef) - Static method in class org.tensorflow.framework.VariableDef
 
newBuilder() - Static method in class org.tensorflow.framework.VariantTensorDataProto
 
newBuilder(VariantTensorDataProto) - Static method in class org.tensorflow.framework.VariantTensorDataProto
 
newBuilder() - Static method in class org.tensorflow.framework.VersionDef
 
newBuilder(VersionDef) - Static method in class org.tensorflow.framework.VersionDef
 
newBuilder() - Static method in class org.tensorflow.util.IteratorStateMetadata
 
newBuilder(IteratorStateMetadata) - Static method in class org.tensorflow.util.IteratorStateMetadata
 
newBuilder() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
 
newBuilder(OpGenOverridesOuterClass.OpGenOverride.AttrDefault) - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
 
newBuilder() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
newBuilder(OpGenOverridesOuterClass.OpGenOverride) - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
newBuilder() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
 
newBuilder(OpGenOverridesOuterClass.OpGenOverride.Rename) - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
 
newBuilder() - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
 
newBuilder(OpGenOverridesOuterClass.OpGenOverrides) - Static method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.AttributeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.AttributeProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.GraphProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.GraphProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.ModelProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.ModelProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.NodeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.NodeProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.OperatorSetIdProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.StringStringEntryProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.StringStringEntryProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.TensorProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.TensorProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.TensorProto.Segment
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.TensorProto.Segment
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.TensorShapeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.TensorShapeProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.TypeProto.Map
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.TypeProto.Map
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.TypeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.TypeProto
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.TypeProto.Sequence
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.TypeProto.Tensor
 
newBuilderForType() - Method in class onnx.OnnxMlProto3.ValueInfoProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxMlProto3.ValueInfoProto
 
newBuilderForType() - Method in class onnx.OnnxOperatorsProto3.OperatorProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxOperatorsProto3.OperatorProto
 
newBuilderForType() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.AttributeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.AttributeProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.GraphProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.GraphProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.ModelProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.ModelProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.NodeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.NodeProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.OperatorSetIdProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.OperatorSetIdProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.StringStringEntryProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.StringStringEntryProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.TensorProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.TensorProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.TensorProto.Segment
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.TensorProto.Segment
 
newBuilderForType() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension
 
newBuilderForType() - Method in class onnx.OnnxProto3.TensorShapeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.TensorShapeProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.TypeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.TypeProto
 
newBuilderForType() - Method in class onnx.OnnxProto3.TypeProto.Tensor
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.TypeProto.Tensor
 
newBuilderForType() - Method in class onnx.OnnxProto3.ValueInfoProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class onnx.OnnxProto3.ValueInfoProto
 
newBuilderForType() - Method in class org.tensorflow.framework.AllocationDescription
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AllocationDescription
 
newBuilderForType() - Method in class org.tensorflow.framework.AllocationRecord
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AllocationRecord
 
newBuilderForType() - Method in class org.tensorflow.framework.AllocatorMemoryUsed
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AllocatorMemoryUsed
 
newBuilderForType() - Method in class org.tensorflow.framework.ApiDef.Arg
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDef.Arg
 
newBuilderForType() - Method in class org.tensorflow.framework.ApiDef.Attr
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDef.Attr
 
newBuilderForType() - Method in class org.tensorflow.framework.ApiDef.Endpoint
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDef.Endpoint
 
newBuilderForType() - Method in class org.tensorflow.framework.ApiDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDef
 
newBuilderForType() - Method in class org.tensorflow.framework.ApiDefs
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ApiDefs
 
newBuilderForType() - Method in class org.tensorflow.framework.AttrValue.ListValue
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AttrValue.ListValue
 
newBuilderForType() - Method in class org.tensorflow.framework.AttrValue
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.AttrValue
 
newBuilderForType() - Method in class org.tensorflow.framework.CostGraphDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CostGraphDef
 
newBuilderForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.CostGraphDef.Node
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CostGraphDef.Node
 
newBuilderForType() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.DeviceAttributes
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DeviceAttributes
 
newBuilderForType() - Method in class org.tensorflow.framework.DeviceLocality
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DeviceLocality
 
newBuilderForType() - Method in class org.tensorflow.framework.DeviceStepStats
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.DeviceStepStats
 
newBuilderForType() - Method in class org.tensorflow.framework.FunctionDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.FunctionDef
 
newBuilderForType() - Method in class org.tensorflow.framework.FunctionDefLibrary
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.FunctionDefLibrary
 
newBuilderForType() - Method in class org.tensorflow.framework.GradientDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GradientDef
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphDef
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.HistogramProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.HistogramProto
 
newBuilderForType() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.KernelDef.AttrConstraint
 
newBuilderForType() - Method in class org.tensorflow.framework.KernelDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.KernelDef
 
newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogRawAllocation
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogRawAllocation
 
newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogRawDeallocation
 
newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogStep
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogStep
 
newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogTensorAllocation
 
newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation
 
newBuilderForType() - Method in class org.tensorflow.framework.MemoryLogTensorOutput
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryLogTensorOutput
 
newBuilderForType() - Method in class org.tensorflow.framework.MemoryStats
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.MemoryStats
 
newBuilderForType() - Method in class org.tensorflow.framework.NameAttrList
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NameAttrList
 
newBuilderForType() - Method in class org.tensorflow.framework.NodeDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NodeDef
 
newBuilderForType() - Method in class org.tensorflow.framework.NodeExecStats
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NodeExecStats
 
newBuilderForType() - Method in class org.tensorflow.framework.NodeOutput
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.NodeOutput
 
newBuilderForType() - Method in class org.tensorflow.framework.OpDef.ArgDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpDef.ArgDef
 
newBuilderForType() - Method in class org.tensorflow.framework.OpDef.AttrDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpDef.AttrDef
 
newBuilderForType() - Method in class org.tensorflow.framework.OpDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpDef
 
newBuilderForType() - Method in class org.tensorflow.framework.OpDeprecation
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpDeprecation
 
newBuilderForType() - Method in class org.tensorflow.framework.OpList
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.OpList
 
newBuilderForType() - Method in class org.tensorflow.framework.ReaderBaseState
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ReaderBaseState
 
newBuilderForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo
 
newBuilderForType() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto
 
newBuilderForType() - Method in class org.tensorflow.framework.ResourceHandleProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.ResourceHandleProto
 
newBuilderForType() - Method in class org.tensorflow.framework.SaveSliceInfoDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SaveSliceInfoDef
 
newBuilderForType() - Method in class org.tensorflow.framework.StepStats
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.StepStats
 
newBuilderForType() - Method in class org.tensorflow.framework.Summary.Audio
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.Summary.Audio
 
newBuilderForType() - Method in class org.tensorflow.framework.Summary.Image
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.Summary.Image
 
newBuilderForType() - Method in class org.tensorflow.framework.Summary
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.Summary
 
newBuilderForType() - Method in class org.tensorflow.framework.Summary.Value
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.Summary.Value
 
newBuilderForType() - Method in class org.tensorflow.framework.SummaryDescription
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SummaryDescription
 
newBuilderForType() - Method in class org.tensorflow.framework.SummaryMetadata
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SummaryMetadata
 
newBuilderForType() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.SummaryMetadata.PluginData
 
newBuilderForType() - Method in class org.tensorflow.framework.TensorDescription
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorDescription
 
newBuilderForType() - Method in class org.tensorflow.framework.TensorProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorProto
 
newBuilderForType() - Method in class org.tensorflow.framework.TensorShapeProto.Dim
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorShapeProto.Dim
 
newBuilderForType() - Method in class org.tensorflow.framework.TensorShapeProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorShapeProto
 
newBuilderForType() - Method in class org.tensorflow.framework.TensorSliceProto.Extent
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorSliceProto.Extent
 
newBuilderForType() - Method in class org.tensorflow.framework.TensorSliceProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.TensorSliceProto
 
newBuilderForType() - Method in class org.tensorflow.framework.VariableDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.VariableDef
 
newBuilderForType() - Method in class org.tensorflow.framework.VariantTensorDataProto
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.VariantTensorDataProto
 
newBuilderForType() - Method in class org.tensorflow.framework.VersionDef
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.framework.VersionDef
 
newBuilderForType() - Method in class org.tensorflow.util.IteratorStateMetadata
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class org.tensorflow.util.IteratorStateMetadata
 
newBuilderForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault
 
newBuilderForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride
 
newBuilderForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename
 
newBuilderForType() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
 
newBuilderForType(GeneratedMessageV3.BuilderParent) - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides
 
newCloner() - Static method in class org.nd4j.autodiff.samediff.SameDiff
 
newColumnMetaData(String) - Method in enum org.datavec.api.transform.ColumnType
 
newColumnName - Variable in class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
 
newColumnName - Variable in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
newEpisode() - Method in class vizdoom.DoomGame
 
newEpisode(String) - Method in class vizdoom.DoomGame
 
newEpoch - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
newEval() - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
newEval() - Method in class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator
 
newEval() - Method in class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator
 
newEval() - Method in class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
newExecutorService() - Static method in class org.deeplearning4j.clustering.util.MultiThreadUtils
 
newFormat - Variable in class org.nd4j.linalg.api.ops.BaseAccumulation
 
newFormat - Variable in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
newHashBackedMap() - Static method in class org.nd4j.linalg.collection.MultiDimensionalMap
Thread safe hash map impl
newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.CharacterDefinitions
 
newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.ConnectionCosts
 
newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
newInstance(ResourceResolver, CharacterDefinitions, int) - Static method in class com.atilika.kuromoji.dict.UnknownDictionary
 
newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
newInstance(Class<T>, Configuration) - Static method in class org.datavec.api.util.ReflectionUtils
Deprecated.
Create an object for the given class and initialize it from conf
newInstance() - Method in class org.deeplearning4j.malmo.MalmoEnv
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.ale.ALEMDP
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.gym.GymEnv
 
newInstance() - Method in interface org.deeplearning4j.rl4j.mdp.MDP
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.toy.HardDeteministicToy
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.toy.SimpleToy
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.vizdoom.Basic
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.vizdoom.DeadlyCorridor
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.vizdoom.PredictPosition
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.vizdoom.TakeCover
 
newInstance() - Method in class org.deeplearning4j.rl4j.mdp.vizdoom.VizDoom
 
newKey() - Method in class org.datavec.api.io.WritableComparator
Construct a new WritableComparable instance.
newMax - Variable in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
newMin - Variable in class org.datavec.api.transform.transform.doubletransform.MinMaxNormalizer
 
newSchema(List<ColumnMetaData>) - Method in class org.datavec.api.transform.schema.Schema
Create a new schema based on the new metadata
newSchema(List<ColumnMetaData>) - Method in class org.datavec.api.transform.schema.SequenceSchema
 
newShape - Variable in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
newShape(long[], char) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
newShapeNoCopy(INDArray, int[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape
 
newShapeNoCopy(INDArray, long[], boolean) - Static method in class org.nd4j.linalg.api.shape.Shape
A port of numpy's reshaping algorithm that leverages no copy where possible and returns null if the reshape couldn't happen without copying
newStatsBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.MinMaxStrategy
Create a new NormalizerStats.Builder instance that can be used to fit new data and of the opType that belongs to the current NormalizerStrategy implementation
newStatsBuilder() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.NormalizerStrategy
Create a new NormalizerStats.Builder instance that can be used to fit new data and of the opType that belongs to the current NormalizerStrategy implementation
newStatsBuilder() - Method in class org.nd4j.linalg.dataset.api.preprocessor.StandardizeStrategy
Create a new NormalizerStats.Builder instance that can be used to fit new data and of the opType that belongs to the current NormalizerStrategy implementation
newStrides(int[], int, INDArrayIndex[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
newThread(int) - Method in class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscrete
 
newThread(int) - Method in class org.deeplearning4j.rl4j.learning.async.a3c.discrete.A3CDiscreteConv
 
newThread(int) - Method in class org.deeplearning4j.rl4j.learning.async.AsyncLearning
 
newThread(int) - Method in class org.deeplearning4j.rl4j.learning.async.nstep.discrete.AsyncNStepQLearningDiscrete
 
newThread(int) - Method in class org.deeplearning4j.rl4j.learning.async.nstep.discrete.AsyncNStepQLearningDiscreteConv
 
newThreadSafeHashBackedMap() - Static method in class org.nd4j.linalg.collection.MultiDimensionalMap
Thread safe hash map implementation
newThreadSafeTreeBackedMap() - Static method in class org.nd4j.linalg.collection.MultiDimensionalMap
Thread safe sorted map implementation
newTreeBackedMap() - Static method in class org.nd4j.linalg.collection.MultiDimensionalMap
Tree map implementation
NewWord - Class in org.ansj.domain
新词发现,实体名
NewWord(String, Nature, double) - Constructor for class org.ansj.domain.NewWord
 
NewWord(String, Nature) - Constructor for class org.ansj.domain.NewWord
 
NewWordRecognition - Class in org.ansj.recognition.arrimpl
新词识别
NewWordRecognition(LearnTool) - Constructor for class org.ansj.recognition.arrimpl.NewWordRecognition
 
newWorkspace(WorkspaceConfiguration) - Method in class org.nd4j.jita.workspace.CudaWorkspaceManager
 
newWorkspace(WorkspaceConfiguration, String) - Method in class org.nd4j.jita.workspace.CudaWorkspaceManager
 
newWorkspace(WorkspaceConfiguration, String, int) - Method in class org.nd4j.jita.workspace.CudaWorkspaceManager
 
newWorkspace(WorkspaceConfiguration) - Method in class org.nd4j.linalg.cpu.nativecpu.workspace.CpuWorkspaceManager
 
newWorkspace(WorkspaceConfiguration, String) - Method in class org.nd4j.linalg.cpu.nativecpu.workspace.CpuWorkspaceManager
 
newWorkspace(WorkspaceConfiguration, String, int) - Method in class org.nd4j.linalg.cpu.nativecpu.workspace.CpuWorkspaceManager
 
newWritable(short) - Method in class org.datavec.api.writable.WritableFactory
Create a new writable instance (using reflection) given the specified key
next() - Method in class org.ansj.domain.Term
 
next() - Method in class org.ansj.splitWord.Analysis
while 循环调用.直到返回为null则分词结束
next(int) - Method in class org.datavec.api.records.reader.BaseRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
Get the next record
next() - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
next(int) - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
next(int) - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
next(int) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Get the next record
next(int) - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Get the next record
next() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonLineRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.misc.MatlabRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
Return next record as list of Writables.
next() - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
 
next - Variable in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
 
next(int) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Get the next record
next(int) - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
 
next() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Get the next record
next(int) - Method in interface org.datavec.api.records.reader.RecordReader
This method will be used, if batchesSupported() returns true.
next() - Method in interface org.datavec.api.records.reader.RecordReader
Get the next record
next() - Method in class org.datavec.api.util.files.FileFromPathIterator
 
next() - Method in class org.datavec.api.util.files.ShuffledListIterator
 
next() - Method in class org.datavec.api.util.files.UriFromPathIterator
 
next() - Method in class org.datavec.api.util.jdbc.ResettableResultSetIterator
 
next() - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch.RecordBatchListIterator
 
next(int) - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
next() - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
next() - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
next() - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
next(int) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
next() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
next(int) - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
next() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
next(int) - Method in class org.datavec.image.loader.CifarLoader
 
next(int, int) - Method in class org.datavec.image.loader.CifarLoader
 
next() - Method in class org.datavec.image.mnist.MnistDbFile
Move to the next entry.
next() - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
next(int) - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
next() - Method in class org.datavec.image.recordreader.objdetect.ObjectDetectionRecordReader
 
next(int) - Method in class org.datavec.image.recordreader.objdetect.ObjectDetectionRecordReader
 
next() - Method in class org.datavec.image.recordreader.VideoRecordReader
 
next(int) - Method in class org.datavec.local.transforms.LocalTransformProcessSequenceRecordReader
 
next() - Method in class org.datavec.local.transforms.LocalTransformProcessSequenceRecordReader
 
next() - Method in class org.datavec.nlp.reader.TfidfRecordReader
 
next() - Method in class org.datavec.poi.excel.ExcelRecordReader
 
next() - Method in class org.deeplearning4j.aws.s3.reader.BucketIterator
 
next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Fetch the next 'num' examples.
next() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
next() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
Returns the next data applyTransformToDestination
next(int) - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.JointMultiDataSetIterator
Fetch the next 'num' examples.
next() - Method in class org.deeplearning4j.datasets.iterator.JointMultiDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.loader.MultiDataSetLoaderIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
next() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
Move to the next entry.
next() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
next() - Method in class org.deeplearning4j.graph.graph.VertexSequence
 
next() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
Get the next vertex sequence.
next() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
next() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
next() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
next(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
next() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
 
next() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
next() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
 
next() - Method in interface org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.Reader
 
next() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
next() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
next() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
next(int) - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.parallelism.AsyncIterator
 
next(int) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
next() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
next(int) - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
next(int) - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
 
next(int) - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
next(int) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
next(int) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.util.CountingIterator
 
next() - Method in class org.deeplearning4j.text.corpora.treeparser.TreeIterator
Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
next() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
next() - Method in class org.nd4j.linalg.api.iter.FirstAxisIterator
 
next() - Method in class org.nd4j.linalg.api.iter.FlatIterator
 
next() - Method in class org.nd4j.linalg.api.iter.INDArrayIterator
 
next() - Method in class org.nd4j.linalg.api.iter.NdIndexIterator
 
next() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
 
next() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
 
next(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
next() - Method in interface org.nd4j.linalg.dataset.api.iterator.fetcher.DataSetFetcher
Returns the next data applyTransformToDestination
next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
 
next() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
 
next(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator
Fetch the next 'num' examples.
next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
Returns the next element in the iteration.
next() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
next() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
next(int) - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
 
next() - Method in class org.nd4j.linalg.dataset.api.iterator.TestMultiDataSetIterator
 
next(int) - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
next() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
next(int) - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
next() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
next(int) - Method in class org.nd4j.linalg.dataset.ViewIterator
 
next() - Method in class org.nd4j.linalg.dataset.ViewIterator
 
next() - Method in interface org.nd4j.linalg.indexing.INDArrayIndex
Returns the next index
next() - Method in class org.nd4j.linalg.indexing.IntervalIndex
 
next() - Method in class org.nd4j.linalg.indexing.NDArrayIndex
 
next() - Method in class org.nd4j.linalg.indexing.NDArrayIndexEmpty
 
next() - Method in class org.nd4j.linalg.indexing.NewAxis
 
next() - Method in class org.nd4j.linalg.indexing.PointIndex
 
next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
 
next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SingleGenerator
 
next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSingleGenerator
 
next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SparseSpecifiedIndexesGenerator
 
next() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex.SpecifiedIndexesGenerator
 
next64(long) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
 
next64(long) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
 
nextAction(INDArray) - Method in class org.deeplearning4j.rl4j.policy.ACPolicy
 
nextAction(INDArray) - Method in class org.deeplearning4j.rl4j.policy.BoltzmannQ
 
nextAction(INDArray) - Method in class org.deeplearning4j.rl4j.policy.DQNPolicy
 
nextAction(INDArray) - Method in class org.deeplearning4j.rl4j.policy.EpsGreedy
 
nextAction(INDArray) - Method in class org.deeplearning4j.rl4j.policy.Policy
 
nextBoolean() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed boolean value from the Math.random() sequence.
nextBoolean(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed boolean value from the given random sequence.
nextBoolean() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextBoolean() - Method in interface org.nd4j.linalg.api.rng.Random
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.nd4j.rng.NativeRandom
 
nextBucket() - Method in class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
 
nextBytes(byte[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextBytes(byte[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.nd4j.rng.NativeRandom
 
nextCandidate() - Method in class org.nd4j.parameterserver.distributed.logic.completion.Clipboard
This method returns one of available aggregations, if there's at least 1 ready.
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
This method returns next LabelledDocument
nextDocument() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator
Get the next document
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
nextDocument() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
This method returns next LabelledDocument from underlying iterator
nextDocument() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
nextDouble() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from the Math.random() sequence.
nextDouble(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from the given Random sequence.
nextDouble() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextDouble(long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextDouble(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextDouble(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextDouble(char, long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextDouble() - Method in interface org.nd4j.linalg.api.rng.Random
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generate a uniform number ndarray of the specified shape
nextDouble(long[]) - Method in interface org.nd4j.linalg.api.rng.Random
 
nextDouble(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generate a uniform number ndarray of the specified shape and order
nextDouble(char, long[]) - Method in interface org.nd4j.linalg.api.rng.Random
 
nextDouble() - Method in class org.nd4j.rng.NativeRandom
 
nextDouble(int[]) - Method in class org.nd4j.rng.NativeRandom
 
nextDouble(long[]) - Method in class org.nd4j.rng.NativeRandom
 
nextDouble(char, int[]) - Method in class org.nd4j.rng.NativeRandom
 
nextDouble(char, long[]) - Method in class org.nd4j.rng.NativeRandom
 
nextElement - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
nextElement - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
nextElement - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
nextFile() - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
nextFloat() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from the Math.random() sequence.
nextFloat(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from the given Random sequence.
nextFloat() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextFloat(long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextFloat(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextFloat(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextFloat(char, long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextFloat() - Method in interface org.nd4j.linalg.api.rng.Random
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generate a uniform number ndarray of the specified shape
nextFloat(long[]) - Method in interface org.nd4j.linalg.api.rng.Random
 
nextFloat(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generate a uniform number ndarray of the specified shape
nextFloat(char, long[]) - Method in interface org.nd4j.linalg.api.rng.Random
 
nextFloat() - Method in class org.nd4j.rng.NativeRandom
 
nextFloat(int[]) - Method in class org.nd4j.rng.NativeRandom
 
nextFloat(long[]) - Method in class org.nd4j.rng.NativeRandom
 
nextFloat(char, int[]) - Method in class org.nd4j.rng.NativeRandom
 
nextFloat(char, long[]) - Method in class org.nd4j.rng.NativeRandom
 
nextFor() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
nextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
nextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
nextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
nextFor(int) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
nextFor() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
nextFor(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator
Returns next DataSet for given consumer
nextFor() - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelDataSetIterator
Returns next DataSet for attached consumer
nextFor(int) - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator
Returns next DataSet for given consumer
nextFor() - Method in interface org.nd4j.linalg.dataset.api.iterator.ParallelMultiDataSetIterator
Returns next DataSet for attached consumer
nextGaussian() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextGaussian(long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextGaussian(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextGaussian(char, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextGaussian(char, long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextGaussian() - Method in interface org.nd4j.linalg.api.rng.Random
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generate a gaussian number ndarray of the specified shape
nextGaussian(long[]) - Method in interface org.nd4j.linalg.api.rng.Random
 
nextGaussian(char, int[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generate a gaussian number ndarray of the specified shape and order
nextGaussian(char, long[]) - Method in interface org.nd4j.linalg.api.rng.Random
 
nextGaussian() - Method in class org.nd4j.rng.NativeRandom
 
nextGaussian(int[]) - Method in class org.nd4j.rng.NativeRandom
 
nextGaussian(long[]) - Method in class org.nd4j.rng.NativeRandom
 
nextGaussian(char, int[]) - Method in class org.nd4j.rng.NativeRandom
 
nextGaussian(char, long[]) - Method in class org.nd4j.rng.NativeRandom
 
nextImage() - Method in class org.datavec.image.mnist.MnistImageFile
Move the cursor to the next image.
nextImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Move the cursor to the next image.
nextIndex() - Method in class org.datavec.api.writable.batch.AbstractWritableRecordBatch.RecordBatchListIterator
 
nextInt() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed int value from the Math.random() sequence.
nextInt(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed int value from the given random sequence.
nextInt(int) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), from the Math.random() sequence.
nextInt(Random, int) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), from the given Random sequence.
nextInt() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextInt(int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextInt(int, int) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextInt(int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextInt(long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextInt(int, int[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextInt(int, long[]) - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextInt() - Method in interface org.nd4j.linalg.api.rng.Random
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in interface org.nd4j.linalg.api.rng.Random
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int, int) - Method in interface org.nd4j.linalg.api.rng.Random
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generate a random set of integers of the specified shape.
nextInt(long[]) - Method in interface org.nd4j.linalg.api.rng.Random
 
nextInt(int, int[]) - Method in interface org.nd4j.linalg.api.rng.Random
Generate a random set of integers of the specified shape.
nextInt(int, long[]) - Method in interface org.nd4j.linalg.api.rng.Random
 
nextInt() - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
This method returns random int in range [0..MAX_INT]
nextInt(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
This method returns random int in range [0..to]
nextInt(int, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
This method returns random int in range [from..to]
nextInt() - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
This method returns random int in range [0..MAX_INT]
nextInt(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
This method returns random int in range [0..to]
nextInt(int, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
This method returns random int in range [from..to]
nextInt() - Method in class org.nd4j.rng.NativeRandom
 
nextInt(int) - Method in class org.nd4j.rng.NativeRandom
 
nextInt(int, int) - Method in class org.nd4j.rng.NativeRandom
 
nextInt(int[]) - Method in class org.nd4j.rng.NativeRandom
 
nextInt(long[]) - Method in class org.nd4j.rng.NativeRandom
 
nextInt(int, int[]) - Method in class org.nd4j.rng.NativeRandom
 
nextInt(int, long[]) - Method in class org.nd4j.rng.NativeRandom
 
NextIteration - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat
 
NextIteration() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.NextIteration
 
nextLabel() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
Returns next label.
nextLabel() - Method in interface org.deeplearning4j.text.labels.LabelsProvider
 
nextList(ObjectListing) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Iterator style one list at a time
nextLong() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed long value from the Math.random() sequence.
nextLong(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed long value from the given Random sequence.
nextLong() - Method in class org.nd4j.linalg.api.rng.DefaultRandom
 
nextLong() - Method in interface org.nd4j.linalg.api.rng.Random
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.nd4j.rng.NativeRandom
 
nextMultiDataSet(Map<String, List<List<Writable>>>, Map<String, List<INDArray>>, Map<String, List<List<List<Writable>>>>, List<RecordMetaDataComposableMap>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
nextName() - Method in interface org.deeplearning4j.perf.listener.SystemPolling.NameProvider
 
nextObject() - Method in class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
 
nextObject() - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceReader
Returns next CoOccurrenceWeight object PLEASE NOTE: This method can return null value.
nextObject() - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
 
nextObject() - Method in interface org.deeplearning4j.models.glove.count.CoOccurenceReader
 
nextPowOf2(long) - Static method in class org.deeplearning4j.clustering.util.MathUtils
See: http://stackoverflow.com/questions/466204/rounding-off-to-nearest-power-of-2
nextPowOf2(long) - Static method in class org.nd4j.linalg.util.MathUtils
See: http://stackoverflow.com/questions/466204/rounding-off-to-nearest-power-of-2
nextRandom - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
nextRandom - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSkipGramMessage
 
nextRandom - Variable in class org.nd4j.parameterserver.distributed.messages.requests.CbowRequestMessage
 
nextRandom - Variable in class org.nd4j.parameterserver.distributed.messages.requests.SkipGramRequestMessage
 
nextRandomLane() - Method in class org.nd4j.jita.allocator.context.ContextPack
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.collection.CollectionRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.collection.ListStringRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.ComposableRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.ConcatenatingRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.FileRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
Similar to InMemoryRecordReader.next(), but returns a Record object, that may include metadata such as the source of the data
nextRecord() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Similar to InMemorySequenceRecordReader.next(), but returns a Record object, that may include metadata such as the source of the data
nextRecord() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.jdbc.JDBCRecordReader
Get next record with metadata.
nextRecord() - Method in class org.datavec.api.records.reader.impl.LineRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
Return next Record.
nextRecord() - Method in class org.datavec.api.records.reader.impl.regex.RegexLineRecordReader
 
nextRecord() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
Similar to TransformProcessRecordReader.next(), but returns a Record object, that may include metadata such as the source of the data
nextRecord() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Similar to TransformProcessSequenceRecordReader.next(), but returns a Record object, that may include metadata such as the source of the data
nextRecord() - Method in interface org.datavec.api.records.reader.RecordReader
Similar to RecordReader.next(), but returns a Record object, that may include metadata such as the source of the data
nextRecord() - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
nextRecord() - Method in class org.datavec.audio.recordreader.BaseAudioRecordReader
 
nextRecord() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
nextRecord() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
nextRecord() - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
nextRecord() - Method in class org.datavec.image.recordreader.objdetect.ObjectDetectionRecordReader
 
nextRecord() - Method in class org.datavec.image.recordreader.VideoRecordReader
 
nextRecord() - Method in class org.datavec.nlp.reader.TfidfRecordReader
 
nextRecord() - Method in class org.datavec.poi.excel.ExcelRecordReader
 
nextRecord() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
nextSentence() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
 
nextSentence() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
nextSentence() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
nextSentence() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
nextSentence() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
nextSentence() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
Gets the next sentence or null if there's nothing left (Do yourself a favor and check hasNext() )
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.collection.CollectionSequenceRecordReader
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.csv.CSVLineSequenceRecordReader
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.csv.CSVMultiSequenceRecordReader
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.csv.CSVNLinesSequenceRecordReader
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.csv.CSVSequenceRecordReader
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.csv.CSVVariableSlidingWindowRecordReader
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
Similar to InMemorySequenceRecordReader.sequenceRecord(), but returns a Record object, that may include metadata such as the source of the data
nextSequence() - Method in class org.datavec.api.records.reader.impl.jackson.JacksonLineSequenceRecordReader
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.regex.RegexSequenceRecordReader
 
nextSequence() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
Similar to TransformProcessSequenceRecordReader.sequenceRecord(), but returns a Record object, that may include metadata such as the source of the data
nextSequence() - Method in interface org.datavec.api.records.reader.SequenceRecordReader
Similar to SequenceRecordReader.sequenceRecord(), but returns a Record object, that may include metadata such as the source of the data
nextSequence() - Method in class org.datavec.codec.reader.BaseCodecRecordReader
 
nextSequence() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
nextSequence() - Method in class org.datavec.image.recordreader.VideoRecordReader
 
nextSequence() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
 
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
Returns next sequence out of iterator
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator
Returns filtered sequence, that contains sequence elements from vocabulary only.
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
Returns next sequence from data source
nextSequence() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
nextSparse() - Method in class org.nd4j.linalg.indexing.SpecifiedIndex
Return the next index with its position in the indexes array
nextToken() - Method in class org.datavec.nlp.tokenization.tokenizer.DefaultStreamTokenizer
 
nextToken() - Method in class org.datavec.nlp.tokenization.tokenizer.DefaultTokenizer
 
nextToken() - Method in class org.datavec.nlp.tokenization.tokenizer.PosUimaTokenizer
 
nextToken() - Method in interface org.datavec.nlp.tokenization.tokenizer.Tokenizer
The next token (word usually) in the string
nextToken() - Method in class org.datavec.nlp.tokenization.tokenizer.UimaTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.ChineseTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
This method returns next token from prebuffered list of tokens or underlying InputStream
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.JapaneseTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.KoreanTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
nextToken() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer
The next token (word usually) in the string
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
 
nextUInt64() - Method in class org.nd4j.nativeblas.Nd4jCpu.RandomBuffer
 
nextUInt64() - Method in class org.nd4j.nativeblas.Nd4jCuda.RandomBuffer
 
nextWord - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
NgramLibrary - Class in org.ansj.library
两个词之间的关联
NgramLibrary() - Constructor for class org.ansj.library.NgramLibrary
 
nGrams - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
NGramTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
 
NGramTokenizer(Tokenizer, Integer, Integer) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
 
NGramTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
 
NGramTokenizerFactory(TokenizerFactory, Integer, Integer) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
 
niceNum(double, boolean) - Static method in class org.deeplearning4j.arbiter.ui.misc.UIUtils
 
nIn - Variable in class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace.Builder
 
nIn(int) - Method in class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace.Builder
 
nIn(ParameterSpace<Integer>) - Method in class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace.Builder
 
nIn - Variable in class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace
 
nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
nIn - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
 
nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
Number of inputs for the layer (usually the size of the last layer).
<