Modifier and Type | Class and Description |
---|---|
class |
BaseBroadcastBoolOp |
class |
BaseBroadcastOp |
class |
BaseIndexAccumulation
Index based reduction algo
|
class |
BaseReduceBoolOp |
class |
BaseReduceFloatOp |
class |
BaseReduceLongOp |
class |
BaseReduceOp
Base class for accumulation, initiates the initial entry
with respect to the child class.
|
class |
BaseReduceSameOp |
class |
BaseScalarBoolOp
Base scalar boolean operation
|
class |
BaseScalarOp
Base scalar operation
|
class |
BaseTransformAnyOp |
class |
BaseTransformBoolOp |
class |
BaseTransformFloatOp |
class |
BaseTransformOp
A base op for basic getters and setters
|
class |
BaseTransformSameOp |
class |
BaseTransformStrictOp |
Modifier and Type | Class and Description |
---|---|
class |
BroadcastAddOp |
class |
BroadcastAMax
Broadcast Abs Max comparison op
|
class |
BroadcastAMin
Broadcast Abs Min comparison op
|
class |
BroadcastCopyOp |
class |
BroadcastDivOp |
class |
BroadcastGradientArgs |
class |
BroadcastMax
Broadcast Max comparison op
|
class |
BroadcastMin
Broadcast Min comparison op
|
class |
BroadcastMulOp |
class |
BroadcastRDivOp
Broadcast reverse divide
|
class |
BroadcastRSubOp |
class |
BroadcastSubOp |
Modifier and Type | Class and Description |
---|---|
class |
BroadcastEqualTo |
class |
BroadcastGreaterThan |
class |
BroadcastGreaterThanOrEqual |
class |
BroadcastLessThan |
class |
BroadcastLessThanOrEqual |
class |
BroadcastNotEqual |
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.
|
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
|
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 ReduceOp, Variance or Reduce3 op
|
Modifier and Type | Class and Description |
---|---|
class |
All
Boolean AND accumulation
|
class |
Any
Boolean AND pairwise transform
|
class |
IsInf
IsInf function
|
class |
IsNaN
IsInf function
|
Modifier and Type | Class and Description |
---|---|
class |
AMean
Calculate the absolute mean of the given vector
|
class |
Entropy
Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
|
class |
LogEntropy
Log Entropy Op - returns the log entropy (information gain, or uncertainty of a random variable).
|
class |
Mean
Calculate the mean of the 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 |
ShannonEntropy
Non-normalized Shannon Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
|
class |
SquaredNorm
Squared norm (sum_i x_i^2) reduction operation
|
Modifier and Type | Class and Description |
---|---|
class |
CountNonZero
Count the number of non-zero elements
|
class |
CountZero
Count the number of zero elements
|
class |
MatchCondition
This operation returns number of elements matching specified condition
|
Modifier and Type | Class and Description |
---|---|
class |
AMax
Calculate the absolute max over a vector
|
class |
AMin
Calculate the absolute minimum over a vector
|
class |
ASum
Absolute sum the components
|
class |
Max
Calculate the max over an array
|
class |
Min
Calculate the min over an array
|
class |
Prod
Prod the components
|
class |
Sum
Sum the components
|
Modifier and Type | Class and Description |
---|---|
class |
BaseReduce3Op
Manhattan distance
|
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 |
Dot
Dot product.
|
class |
EqualsWithEps
Operation for fast INDArrays equality checks
|
class |
EuclideanDistance
Euclidean distance
|
class |
HammingDistance
Hamming distance (simple)
|
class |
JaccardDistance
Jaccard distance (dissimilarity)
|
class |
ManhattanDistance
Manhattan distance
|
Modifier and Type | Class and Description |
---|---|
class |
LeakyReLU
Leaky Rectified linear unit.
|
class |
LogX
Log on arbitrary base op
|
class |
Pow
Pow function
|
class |
PowDerivative
Pow derivative
z = n * x ^ (n-1)
|
class |
RectifiedLinear
Rectified linear units
|
class |
Relu6
Rectified linear unit 6, i.e.
|
class |
ReplaceNans
Element-wise "Replace NaN" implementation as Op
|
class |
ScalarAdd
Scalar addition
|
class |
ScalarDivision
Scalar division
|
class |
ScalarFMod
Scalar floating-point remainder (fmod aka 'floormod')
|
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
|
class |
Step
Unit step function.
|
Modifier and Type | Class and Description |
---|---|
class |
ScalarAnd
Return a binary (0 or 1)
when greater than a number
|
class |
ScalarEps
Return a binary (0 or 1) when greater than a number
|
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 |
ScalarNot
Return a binary (0 or 1)
when greater than a number
|
class |
ScalarNotEquals
Return a binary (0 or 1)
when greater than a number
|
class |
ScalarOr
Return a binary (0 or 1)
when greater than a number
|
class |
ScalarSetValue
Scalar value set operation.
|
class |
ScalarXor
Return a binary (0 or 1)
when greater than a number
|
Modifier and Type | Class and Description |
---|---|
class |
StandardDeviation
Standard deviation (sqrt of variance)
|
class |
Variance
Variance with bias correction.
|
Modifier and Type | Class and Description |
---|---|
class |
MaxOut
Max out activation:
https://arxiv.org/pdf/1302.4389.pdf
|
Modifier and Type | Class and Description |
---|---|
class |
Assign
Identity function
|
Modifier and Type | Class and Description |
---|---|
class |
BooleanNot
Boolean NOT transform
|
class |
IsFinite
IsFinite function
|
class |
MatchConditionTransform
Match condition transform
|
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
|
Modifier and Type | Class and Description |
---|---|
class |
RSqrt
RSqrt function
|
class |
Sqrt
Sqrt function
|
Modifier and Type | Class and Description |
---|---|
class |
CubeDerivative
Deprecated.
Use
CubeBp |
class |
HardSigmoidDerivative
Deprecated.
Use
HardSigmoidBp |
class |
HardTanhDerivative
Deprecated.
Use
HardTanhBp |
class |
LeakyReLUDerivative
Leaky ReLU derivative.
|
class |
RationalTanhDerivative
Deprecated.
Use
RationalTanhBp |
class |
RectifiedTanhDerivative
Deprecated.
Use
RectifiedTanhBp |
class |
SELUDerivative
Deprecated.
Use
SeluBp |
class |
SoftSignDerivative
Deprecated.
Use
SoftSignBp |
Modifier and Type | Class and Description |
---|---|
class |
BinaryMinimalRelativeError |
class |
BinaryRelativeError |
class |
RelativeError |
class |
Set
Set
|
Modifier and Type | Class and Description |
---|---|
class |
Axpy
Level 1 blas op Axpy as libnd4j native op
|
class |
CopyOp
Copy operation
|
class |
FModOp
Floating-point mod
|
class |
PowPairwise
Pairwise version of PoW
|
class |
RemainderOp
Floating-point remainder operation
|
Modifier and Type | Class and Description |
---|---|
class |
And
Boolean AND pairwise transform
|
class |
Not
Boolean AND pairwise transform
|
class |
Or
Boolean OR pairwise transform
|
class |
Xor
Boolean XOR pairwise transform
|
Modifier and Type | Class and Description |
---|---|
class |
Abs
Abs elementwise function
|
class |
Ceil
Ceiling elementwise function
|
class |
Cube
Cube (x^3) elementwise function
|
class |
Floor
Floor elementwise function
|
class |
Negative
Negative function
|
class |
OneMinus
1 - input
|
class |
Reciprocal
Created by susaneraly on 3/28/18.
|
class |
Round
Rounding function
|
class |
Sign
Signum function
|
class |
Square
Square function (x ^ 2)
|
class |
TimesOneMinus
If x is input: output is x*(1-x)
|
Modifier and Type | Class and Description |
---|---|
class |
ACos
Log elementwise function
|
class |
ACosh
ACosh elementwise function
|
class |
ASin
Arcsin elementwise function
|
class |
ASinh
Arcsin elementwise function
|
class |
ATan
Arc Tangent elementwise function
|
class |
ATanh
tan elementwise function
|
class |
Cos
Cosine elementwise function
|
class |
Cosh
Cosine Hyperbolic elementwise function
|
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 |
GELU
GELU activation function - Gaussian Error Linear Units
For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415 Note: This op implements both the sigmoid and tanh-based approximations; to use the sigmoid approximation (recommended) use precise=false; otherwise, use precise = true for the slower but marginally more accurate tanh version. |
class |
GELUDerivative
GELU derivative
|
class |
HardSigmoid
HardSigmoid function
|
class |
HardTanh
Hard tanh elementwise function
|
class |
Log
Log elementwise function
|
class |
Log1p
Log1p function
|
class |
LogSigmoid
LogSigmoid function
|
class |
Mish
Mish activation function
|
class |
MishDerivative
Mish derivative
|
class |
PreciseGELU
GELU activation function - Gaussian Error Linear Units
For more details, see Gaussian Error Linear Units (GELUs) - https://arxiv.org/abs/1606.08415 Note: This op implements both the sigmoid and tanh-based approximations; to use the sigmoid approximation (recommended) use precise=false; otherwise, use precise = true for the slower but marginally more accurate tanh version. |
class |
PreciseGELUDerivative
GELU derivative
|
class |
RationalTanh
Rational Tanh Approximation elementwise function, as described at https://github.com/deeplearning4j/libnd4j/issues/351
|
class |
RectifiedTanh
RectifiedTanh
Essentially max(0, tanh(x))
|
class |
Rint
Rint function
|
class |
SELU
SELU activation function
|
class |
SetRange
Set range to a particular set of values
|
class |
Sigmoid
Sigmoid function
|
class |
SigmoidDerivative
Deprecated.
|
class |
Sin
Log elementwise function
|
class |
Sinh
Sinh function
|
class |
SoftPlus |
class |
SoftSign
Softsign element-wise activation function.
|
class |
Stabilize
Stabilization function, forces values to be within a range
|
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
Deprecated.
Use
TanhDerivative . |
Modifier and Type | Class and Description |
---|---|
class |
BaseRandomOp |
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
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 |
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