Uses of Class
org.nd4j.linalg.api.ops.BaseOp

Packages that use BaseOp

Package	Description
org.nd4j.linalg.api.ops
org.nd4j.linalg.api.ops.impl.accum
org.nd4j.linalg.api.ops.impl.accum.distances
org.nd4j.linalg.api.ops.impl.broadcast
org.nd4j.linalg.api.ops.impl.grid
org.nd4j.linalg.api.ops.impl.indexaccum
org.nd4j.linalg.api.ops.impl.layers.convolution
org.nd4j.linalg.api.ops.impl.meta
org.nd4j.linalg.api.ops.impl.scalar
org.nd4j.linalg.api.ops.impl.scalar.comparison
org.nd4j.linalg.api.ops.impl.shape
org.nd4j.linalg.api.ops.impl.transforms
org.nd4j.linalg.api.ops.impl.transforms.arithmetic
org.nd4j.linalg.api.ops.impl.transforms.comparison
org.nd4j.linalg.api.ops.impl.transforms.gradient
org.nd4j.linalg.api.ops.random
org.nd4j.linalg.api.ops.random.impl

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

Subclasses of BaseOp in org.nd4j.linalg.api.ops

Modifier and Type	Class and Description
class	BaseAccumulation Base class for accumulation, initiates the initial entry with respect to the child class.
class	BaseBroadcastOp
class	BaseGradientOp A gradient op always makes the following assumptions: there is always a y (beacuse of backpropagating or using the chain rule) and that it is special exec (for now) This op opType sis meant to be used to build derivative operations.
class	BaseIndexAccumulation Index based reduction algo
class	BaseScalarOp Base scalar operation
class	BaseTransformOp A base op for basic getters and setters
class	DefaultOpConverter
class	ShapeOp Shape manipulation ops

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

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.accum

Modifier and Type	Class and Description
class	All Boolean AND accumulation
class	AMax Calculate the absolute max over a vector
class	AMean Calculate the absolute mean of the given vector
class	AMin Calculate the absolute minimum over a vector
class	Any Boolean AND pairwise transform
class	ASum Absolute sum the components
class	Bias Calculate a bias
class	CountNonZero Count the number of non-zero elements
class	CountZero Count the number of zero elements
class	Dot Dot product
class	Entropy Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
class	EqualsWithEps Operation for fast INDArrays equality checks
class	LogEntropy Log Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
class	LogSumExp LogSumExp - this op returns https://en.wikipedia.org/wiki/LogSumExp
class	MatchCondition Absolute sum the components
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	ShannonEntropy Non-normalized Shannon Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
class	StandardDeviation Standard deviation (sqrt of variance)
class	Sum Sum the components
class	Variance Variance with bias correction.

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

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.accum.distances

Modifier and Type	Class and Description
class	CosineDistance Cosine distance Note that you need to initialize a scaling constant equal to the norm2 of the vector
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	HammingDistance Hamming distance (simple)
class	JaccardDistance Jaccard distance (dissimilarity)
class	ManhattanDistance Manhattan distance

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.broadcast

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.broadcast

Modifier and Type	Class and Description
class	BiasAddGrad
class	BroadcastAddOp
class	BroadcastAMax Broadcast Abs Max comparison op
class	BroadcastAMin Broadcast Abs Min comparison op
class	BroadcastCopyOp
class	BroadcastDivOp
class	BroadcastEqualTo
class	BroadcastGradientArgs
class	BroadcastGreaterThan
class	BroadcastGreaterThanOrEqual
class	BroadcastLessThan
class	BroadcastLessThanOrEqual
class	BroadcastMax Broadcast Max comparison op
class	BroadcastMin Broadcast Min comparison op
class	BroadcastMulOp
class	BroadcastNotEqual
class	BroadcastRDivOp Broadcast reverse divide
class	BroadcastRSubOp
class	BroadcastSubOp

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.grid

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.grid

Modifier and Type	Class and Description
class	BaseGridOp
class	FreeGridOp Simple GridOp that operates on arbitrary number of Ops, that have no relations between them.

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.indexaccum

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.indexaccum

Modifier and Type	Class and Description
class	FirstIndex Calculate the index of max value over a vector
class	IAMax Calculate the index of the max absolute value over a vector
class	IAMin Calculate the index of the max absolute value over a vector
class	IMax Calculate the index of max value over a vector
class	IMin Calculate the index of min value over a vector
class	LastIndex Calculate the index of max value over a vector

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.layers.convolution

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.layers.convolution

Modifier and Type	Class and Description
class	LegacyPooling2D Deprecated. Note: This operation will be removed in a future release

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.meta

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.meta

Modifier and Type	Class and Description
class	BaseMetaOp
class	InvertedPredicateMetaOp This MetaOp covers case, when Op A and Op B are both using linear memory access You're NOT supposed to directly call this op.
class	PostulateMetaOp You're NOT supposed to directly call this op.
class	PredicateMetaOp This MetaOp covers case, when Op A and Op B are both using linear memory access You're NOT supposed to directly call this op.
class	ReduceMetaOp This is special case PredicateOp, with opB being only either Accumulation, Variance or Reduce3 op

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.scalar

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.scalar

Modifier and Type	Class and Description
class	ScalarAdd Scalar addition
class	ScalarDivision Scalar division
class	ScalarFMod Scalar floating-point remainder (fmod)
class	ScalarMax Scalar max operation.
class	ScalarMin Scalar max operation.
class	ScalarMultiplication Scalar multiplication
class	ScalarRemainder Scalar floating-point remainder
class	ScalarReverseDivision Scalar reverse division
class	ScalarReverseSubtraction Scalar reverse subtraction
class	ScalarSet Scalar max operation.
class	ScalarSubtraction Scalar subtraction

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.scalar.comparison

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.scalar.comparison

Modifier and Type	Class and Description
class	ScalarEquals Return a binary (0 or 1) when greater than a number
class	ScalarGreaterThan Return a binary (0 or 1) when greater than a number
class	ScalarGreaterThanOrEqual Return a binary (0 or 1) when greater than or equal to a number
class	ScalarLessThan Return a binary (0 or 1) when less than a number
class	ScalarLessThanOrEqual Return a binary (0 or 1) when less than or equal to a number
class	ScalarNotEquals Return a binary (0 or 1) when greater than a number
class	ScalarSetValue Scalar value set operation.

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.shape

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.shape

Modifier and Type	Class and Description
class	RollAxis Transpose function

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.transforms

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.transforms

Modifier and Type	Class and Description
class	Abs Abs elementwise function
class	ACos Log elementwise function
class	ACosh ACosh elementwise function
class	And Boolean AND pairwise transform
class	ASin Arcsin elementwise function
class	ASinh Arcsin elementwise function
class	ATan Arc Tangent elementwise function
class	ATanh tan elementwise function
class	BinaryMinimalRelativeError
class	BinaryRelativeError
class	Ceil Ceiling elementwise function
class	Constant
class	Cos Cosine elementwise function
class	Cosh Cosine Hyperbolic elementwise function
class	Cube Cube (x^3) elementwise function
class	ELU ELU: Exponential Linear Unit (alpha=1.0) Introduced in paper: Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter (2015) http://arxiv.org/abs/1511.07289
class	Erf Gaussian error function (erf) function, which is defined as
class	Erfc Complementary Gaussian error function (erfc), defined as
class	Exp Element-wise exponential function
class	Expm1 Element-wise exponential function minus 1, i.e.
class	Floor Floor elementwise function
class	HardSigmoid HardSigmoid function
class	HardTanh Hard tanh elementwise function
class	Histogram
class	IsFinite IsFinite function
class	IsInf IsInf function
class	IsMax [1, 2, 3, 1] -> [0, 0, 1, 0]
class	IsNaN IsNaN function
class	LeakyReLU Leaky Rectified linear unit.
class	LegacyDropOut DropOut implementation as Op PLEASE NOTE: This is legacy DropOut implementation, please consider using op with the same opName from randomOps
class	LegacyDropOutInverted Inverted DropOut implementation as Op PLEASE NOTE: This is legacy DropOutInverted implementation, please consider using op with the same opName from randomOps
class	Log Log elementwise function
class	Log1p Log1p function
class	LogSigmoid LogSigmoid function
class	LogSigmoidDerivative LogSigmoid derivative
class	LogSoftMax Log(softmax(X))
class	LogX Log on arbitrary base op
class	MatchConditionTransform Absolute sum the components
class	MaxOut Max out activation: http://arxiv.org/pdf/1302.4389.pdf
class	Negative Negative function
class	Not Boolean AND pairwise transform
class	OldAtan2Op atan2 operation
class	OldIdentity Identity function
class	OldReverse OldReverse op
class	OldSoftMax Soft max function row_maxes is a row vector (max for each row) row_maxes = rowmaxes(input) diff = exp(input - max) / diff.rowSums() Outputs a probability distribution.
class	OneMinus 1 - input
class	Or Boolean OR pairwise transform
class	Pow Pow function
class	PowDerivative Pow derivative z = n * x ^ (n-1)
class	RationalTanh Rational Tanh Approximation elementwise function, as described at https://github.com/deeplearning4j/libnd4j/issues/351
class	Reciprocal Created by susaneraly on 3/28/18.
class	RectifedLinear Rectified linear units
class	RectifiedTanh RectifiedTanh Essentially max(0, tanh(x))
class	RelativeError
class	Relu6 Rectified linear unit 6, i.e.
class	ReplaceNans Element-wise "Replace NaN" implementation as Op
class	Rint Rint function
class	Round Rounding function
class	RSqrt RSqrt function
class	SELU SELU activation function
class	Set Set
class	SetRange Set range to a particular set of values
class	Sigmoid Sigmoid function
class	SigmoidDerivative Sigmoid derivative
class	Sign Signum function
class	Sin Log elementwise function
class	Sinh Sinh function
class	SoftPlus
class	SoftSign Softsign element-wise activation function.
class	Sqrt Sqrt function
class	Stabilize Stabilization function, forces values to be within a range
class	Step Unit step function.
class	Swish Swish function
class	SwishDerivative Swish derivative
class	Tan Tanh elementwise function
class	TanDerivative Tan Derivative elementwise function
class	Tanh Tanh elementwise function
class	TanhDerivative Tanh derivative
class	TimesOneMinus If x is input: output is x*(1-x)
class	Xor Boolean XOR pairwise transform

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.transforms.arithmetic

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.transforms.arithmetic

Modifier and Type	Class and Description
class	Axpy Level 1 blas op Axpy as libnd4j native op
class	CopyOp Copy operation
class	FloorModOp Floor mod
class	FModOp Floating-point mod
class	OldAddOp Add operation for two operands
class	OldDivOp Division operation
class	OldFloorDivOp Truncated division operation
class	OldFModOp Floating point remainder
class	OldMulOp Multiplication operation
class	OldRDivOp OldReverse Division operation
class	OldSubOp Division operation
class	RemainderOp Floating-point remainder operation

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.transforms.comparison

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.transforms.comparison

Modifier and Type	Class and Description
class	CompareAndReplace Element-wise Compare-and-Replace implementation as Op Basically this op does the same as Compare-and-Set, but op.X is checked against Condition instead
class	CompareAndSet Element-wise Compare-and-set implementation as Op Please check javadoc to specific constructors, for detail information.
class	Eps Bit mask over the ndarrays as to whether the components are equal or not
class	OldEqualTo Bit mask over the ndarrays as to whether the components are equal or not
class	OldGreaterThan Bit mask over the ndarrays as to whether the components are greater than or not
class	OldGreaterThanOrEqual Bit mask over the ndarrays as to whether the components are greater than or equal or not
class	OldLessThan Bit mask over the ndarrays as to whether the components are less than or not
class	OldLessThanOrEqual Bit mask over the ndarrays as to whether the components are less than or equal or not
class	OldMax Max function
class	OldMin Min function
class	OldNotEqualTo Not equal to function: Bit mask over whether 2 elements are not equal or not

Uses of BaseOp in org.nd4j.linalg.api.ops.impl.transforms.gradient

Subclasses of BaseOp in org.nd4j.linalg.api.ops.impl.transforms.gradient

Modifier and Type	Class and Description
class	CubeDerivative Cube derivative, e.g.
class	ELUDerivative Derivative of ELU: Exponential Linear Unit (alpha=1.0) Introduced in paper: Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter (2015) http://arxiv.org/abs/1511.07289
class	GradientBackwardsMarker
class	HardSigmoidDerivative HardSigmoid derivative
class	HardTanhDerivative Hard tanh elementwise derivative function
class	LeakyReLUDerivative Leaky ReLU derivative.
class	LogSoftMaxDerivative
class	RationalTanhDerivative Rational Tanh Derivative, as described at as described at https://github.com/deeplearning4j/libnd4j/issues/351
class	RectifiedTanhDerivative Rectified Tanh Derivative
class	SELUDerivative SELU Derivative elementwise function https://arxiv.org/pdf/1706.02515.pdf
class	SoftMaxDerivative
class	SoftSignDerivative SoftSign derivative.

Uses of BaseOp in org.nd4j.linalg.api.ops.random

Subclasses of BaseOp in org.nd4j.linalg.api.ops.random

Modifier and Type	Class and Description
class	BaseRandomOp

Uses of BaseOp in org.nd4j.linalg.api.ops.random.impl

Subclasses of BaseOp in org.nd4j.linalg.api.ops.random.impl

Modifier and Type	Class and Description
class	AlphaDropOut AlphaDropOut implementation as Op
class	BernoulliDistribution BernoulliDistribution implementation
class	BinomialDistribution This Op generates binomial distribution
class	BinomialDistributionEx This Op generates binomial distribution
class	Choice This Op implements numpy.choice method It fills Z from source, following probabilities for each source element
class	DropOut Inverted DropOut implementation as Op
class	DropOutInverted Inverted DropOut implementation as Op
class	GaussianDistribution This Op generates normal distribution over provided mean and stddev
class	Linspace Linspace/arange Op implementation, generates from..to distribution within Z
class	LogNormalDistribution This Op generates log-normal distribution over provided mean and stddev
class	ProbablisticMerge
class	TruncatedNormalDistribution This Op generates truncated normal distribution over provided mean and stddev
class	UniformDistribution