org.nd4j.linalg.api.ops

Class BaseTransformStrictOp

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseTransformOp

org.nd4j.linalg.api.ops.BaseTransformStrictOp

All Implemented Interfaces:

Op, TransformOp, TransformStrictOp

Direct Known Subclasses:

ACos, ACosh, ASin, ASinh, ATan, ATanh, Cos, Cosh, CubeDerivative, Erf, Erfc, Exp, Expm1, GELU, GELUDerivative, HardSigmoid, HardSigmoidDerivative, HardTanh, HardTanhDerivative, Log, Log1p, LogSigmoid, Mish, MishDerivative, PreciseGELU, PreciseGELUDerivative, RationalTanh, RationalTanhDerivative, RectifiedTanh, RectifiedTanhDerivative, Rint, SELU, SELUDerivative, SetRange, Sigmoid, SigmoidDerivative, Sin, Sinh, SoftPlus, SoftSign, SoftSignDerivative, Stabilize, Swish, SwishDerivative, Tan, TanDerivative, Tanh, TanhDerivative

public abstract class BaseTransformStrictOp
extends BaseTransformOp
implements TransformStrictOp

Nested Class Summary

Nested classes/interfaces inherited from interface org.nd4j.linalg.api.ops.Op

Op.Type

Field Summary

Fields inherited from class org.nd4j.linalg.api.ops.BaseOp

dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId

Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction

dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
BaseTransformStrictOp()
BaseTransformStrictOp(INDArray x)
BaseTransformStrictOp(INDArray x, INDArray z)
BaseTransformStrictOp(SameDiff sameDiff, SDVariable i_v, boolean inPlace)
BaseTransformStrictOp(SameDiff sameDiff, SDVariable i_v, long[] shape, boolean inPlace, Object[] extraArgs)
BaseTransformStrictOp(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs)
BaseTransformStrictOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2)
BaseTransformStrictOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace)

Method Summary

Modifier and Type	Method and Description
List<DataType>	calculateOutputDataTypes(List<DataType> dataTypes) Calculate the data types for the output arrays.
List<LongShapeDescriptor>	calculateOutputShape() Calculate the output shape for this op
List<LongShapeDescriptor>	calculateOutputShape(OpContext oc)
Op.Type	getOpType()
Op.Type	opType() The type of the op
DataType	resultType() This method returns datatype for result array wrt given inputs
DataType	resultType(OpContext opContext)
boolean	validateDataTypes(OpContext oc, boolean experimentalMode)

Methods inherited from class org.nd4j.linalg.api.ops.BaseTransformOp

z

Methods inherited from class org.nd4j.linalg.api.ops.BaseOp

clearArrays, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, initFromOnnx, initFromTensorFlow, onnxName, outputVariables, setX, setY, setZ, tensorflowName, toCustomOp, toString, x, y

Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, doDiff, dup, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, opName, opNum, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.nd4j.linalg.api.ops.Op

clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, opName, opNum, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z

Constructor Detail

BaseTransformStrictOp

public BaseTransformStrictOp(SameDiff sameDiff,
                             SDVariable i_v1,
                             SDVariable i_v2)

BaseTransformStrictOp

public BaseTransformStrictOp(SameDiff sameDiff,
                             SDVariable i_v1,
                             SDVariable i_v2,
                             boolean inPlace)

BaseTransformStrictOp

public BaseTransformStrictOp(SameDiff sameDiff,
                             SDVariable i_v,
                             boolean inPlace)

BaseTransformStrictOp

public BaseTransformStrictOp(SameDiff sameDiff,
                             SDVariable i_v,
                             long[] shape,
                             boolean inPlace,
                             Object[] extraArgs)

BaseTransformStrictOp

public BaseTransformStrictOp(SameDiff sameDiff,
                             SDVariable i_v,
                             Object[] extraArgs)

BaseTransformStrictOp

public BaseTransformStrictOp(INDArray x,
                             INDArray z)

BaseTransformStrictOp

public BaseTransformStrictOp()

BaseTransformStrictOp

public BaseTransformStrictOp(INDArray x)

Method Detail

getOpType

public Op.Type getOpType()

Specified by:

getOpType in interface TransformOp

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class DifferentialFunction

Returns:

resultType

public DataType resultType()

Description copied from interface: TransformOp

This method returns datatype for result array wrt given inputs

Specified by:

resultType in interface TransformOp

Returns:

resultType

public DataType resultType(OpContext opContext)

Specified by:

resultType in interface TransformOp

validateDataTypes

public boolean validateDataTypes(OpContext oc,
                                 boolean experimentalMode)

Specified by:

validateDataTypes in interface TransformOp

calculateOutputShape

public List<LongShapeDescriptor> calculateOutputShape()

Description copied from class: DifferentialFunction

Calculate the output shape for this op

Specified by:

calculateOutputShape in class BaseTransformOp

Returns:

List of output shape descriptors

calculateOutputShape

public List<LongShapeDescriptor> calculateOutputShape(OpContext oc)

Overrides:

calculateOutputShape in class DifferentialFunction

calculateOutputDataTypes

public List<DataType> calculateOutputDataTypes(List<DataType> dataTypes)

Description copied from class: DifferentialFunction

Calculate the data types for the output arrays. Though datatypes can also be inferred from DifferentialFunction.calculateOutputShape(), this method differs in that it does not require the input arrays to be populated. This is important as it allows us to do greedy datatype inference for the entire net - even if arrays are not available.

Overrides:

calculateOutputDataTypes in class DifferentialFunction

Parameters:

dataTypes - The data types of the inputs

Returns:

The data types of the outputs