Uses of Interface
org.nd4j.linalg.api.ops.Accumulation

Packages that use Accumulation

Package	Description
org.nd4j.linalg.api.ops
org.nd4j.linalg.api.ops.executioner
org.nd4j.linalg.api.ops.factory
org.nd4j.linalg.api.ops.impl.accum
org.nd4j.linalg.api.ops.impl.accum.distances
org.nd4j.linalg.api.parallel
org.nd4j.linalg.api.parallel.tasks
org.nd4j.linalg.api.parallel.tasks.cpu
org.nd4j.linalg.api.parallel.tasks.cpu.accumulation

Uses of Accumulation in org.nd4j.linalg.api.ops

Subinterfaces of Accumulation in org.nd4j.linalg.api.ops

Modifier and Type	Interface and Description
interface	LossFunction A loss function for computing the delta between two arrays

Classes in org.nd4j.linalg.api.ops that implement Accumulation

Modifier and Type	Class and Description
class	BaseAccumulation Base class for accumulation, initiates the initial entry with respect to the child class.
class	BaseLossFunction

Uses of Accumulation in org.nd4j.linalg.api.ops.executioner

Methods in org.nd4j.linalg.api.ops.executioner that return Accumulation

Modifier and Type	Method and Description
Accumulation	OpExecutioner.execAndReturn(Accumulation op) Execute and return the result from an accumulation
Accumulation	DefaultOpExecutioner.execAndReturn(Accumulation op)

Methods in org.nd4j.linalg.api.ops.executioner with parameters of type Accumulation

Modifier and Type	Method and Description
protected void	DefaultOpExecutioner.doAccumulationOp(Accumulation op)
INDArray	OpExecutioner.exec(Accumulation accumulation, int... dimension) Execute an accumulation along one or more dimensions
INDArray	DefaultOpExecutioner.exec(Accumulation op, int... dimension)
Accumulation	OpExecutioner.execAndReturn(Accumulation op) Execute and return the result from an accumulation
Accumulation	DefaultOpExecutioner.execAndReturn(Accumulation op)

Uses of Accumulation in org.nd4j.linalg.api.ops.factory

Methods in org.nd4j.linalg.api.ops.factory that return Accumulation

Modifier and Type	Method and Description
Accumulation	OpFactory.createAccum(String name, INDArray x) Accumulation operation
Accumulation	DefaultOpFactory.createAccum(String name, INDArray x)
Accumulation	OpFactory.createAccum(String name, INDArray x, INDArray y)
Accumulation	DefaultOpFactory.createAccum(String name, INDArray x, INDArray y)
Accumulation	OpFactory.createAccum(String name, INDArray x, INDArray y, INDArray z) Accumulation operation
Accumulation	DefaultOpFactory.createAccum(String name, INDArray x, INDArray y, INDArray z)

Uses of Accumulation in org.nd4j.linalg.api.ops.impl.accum

Classes in org.nd4j.linalg.api.ops.impl.accum that implement Accumulation

Modifier and Type	Class and Description
class	Bias Calculate a bias
class	Dot Dot product
class	Max Calculate the max over a vector
class	Mean Calculate the mean of the vector
class	Min Calculate the min over a vector
class	Norm1 Sum of absolute values
class	Norm2 Sum of squared values (real) Sum of squared complex modulus (complex)
class	NormMax The max absolute value
class	Prod Prod the components
class	StandardDeviation Standard deviation (sqrt of variance)
class	Sum Sum the components
class	Variance Variance with bias correction.

Uses of Accumulation in org.nd4j.linalg.api.ops.impl.accum.distances

Classes in org.nd4j.linalg.api.ops.impl.accum.distances that implement Accumulation

Modifier and Type	Class and Description
class	CosineSimilarity Cosine similarity Note that you need to initialize a scaling constant equal to the norm2 of the vector
class	EuclideanDistance Euclidean distance
class	ManhattanDistance Manhattan distance

Uses of Accumulation in org.nd4j.linalg.api.parallel

Methods in org.nd4j.linalg.api.parallel with parameters of type Accumulation

Modifier and Type	Method and Description
INDArray	DefaultParallelExecutioner.execBasedOnArraysAlongDimension(INDArray arr, Accumulation task, OpExecutioner executioner, int... dimension)
INDArray	ParallelExecutioner.execBasedOnArraysAlongDimension(INDArray arr, Accumulation task, OpExecutioner executioner, int... dimension)
static List<ForkJoinTask<INDArray>>	TaskCreator.parititonForkJoinBasedOnTensorsAlongDimension(INDArray arr, Accumulation op, OpExecutioner opExecutioner, INDArray retArray, int... dimension)

Constructors in org.nd4j.linalg.api.parallel with parameters of type Accumulation

Constructor and Description
AccumulationINDArrayTask(Accumulation op, OpExecutioner opExecutioner, INDArray retArray)
AccumulationINDArrayTask(Accumulation op, OpExecutioner opExecutioner, INDArray retArray, int slice)
AccumulationINDArrayTask(Accumulation op, OpExecutioner opExecutioner, int slice, INDArray retArray, int[] dimension)

Uses of Accumulation in org.nd4j.linalg.api.parallel.tasks

Methods in org.nd4j.linalg.api.parallel.tasks with parameters of type Accumulation

Modifier and Type	Method and Description
Task<Double>	TaskFactory.getAccumulationTask(Accumulation op)
Task<Double>	TaskFactory.getAccumulationTask(Accumulation op, boolean outerTask)
Task<INDArray>	TaskFactory.getAccumulationTask(Accumulation op, int... dimension)

Uses of Accumulation in org.nd4j.linalg.api.parallel.tasks.cpu

Methods in org.nd4j.linalg.api.parallel.tasks.cpu with parameters of type Accumulation

Modifier and Type	Method and Description
Task<Double>	CPUTaskFactory.getAccumulationTask(Accumulation op)
Task<Double>	CPUTaskFactory.getAccumulationTask(Accumulation op, boolean outerTask)
Task<INDArray>	CPUTaskFactory.getAccumulationTask(Accumulation op, int... dimension)

Uses of Accumulation in org.nd4j.linalg.api.parallel.tasks.cpu.accumulation

Fields in org.nd4j.linalg.api.parallel.tasks.cpu.accumulation declared as Accumulation

Modifier and Type	Field and Description
protected Accumulation	BaseCPUAccumulationTask.op
protected Accumulation	CPUAccumulationViaTensorTask.op
protected Accumulation	CPUAccumulationAlongDimensionTask.op

Constructors in org.nd4j.linalg.api.parallel.tasks.cpu.accumulation with parameters of type Accumulation

Constructor and Description
BaseCPUAccumulationTask(Accumulation op, int threshold, boolean outerTask) Constructor for doing task on entire NDArray
BaseCPUAccumulationTask(Accumulation op, int threshold, int tadIdx, int tadDim, boolean outerTask) Constructor for doing a 1d tensor first
BaseCPUAccumulationTask(Accumulation op, int threshold, int n, int offsetX, int offsetY, int incrX, int incrY, boolean outerTask) Constructor for operating on subset of NDArray
CPUAccumulationAlongDimensionTask(Accumulation op, int parallelThreshold, int... dimensions)
CPUAccumulations1dAction(Accumulation op, int threshold, TensorCalculator tCalcx, TensorCalculator tCalcy, int firstTensor, int lastTensor, INDArray output)
CPUAccumulationTask(Accumulation op, int threshold, boolean outerTask) Constructor for doing task on entire NDArray
CPUAccumulationTask(Accumulation op, int threshold, int tadIdx, int tadDim, boolean outerTask) Constructor for doing a 1d tensor first
CPUAccumulationTask(Accumulation op, int threshold, int n, int offsetX, int offsetY, int incrX, int incrY, boolean outerTask) Constructor for operating on subset of NDArray
CPUAccumulationViaTensorTask(Accumulation op, int threshold, boolean outerTask)