Package org.nd4j.linalg.api.ops.impl.transforms.comparison

Class CompareAndReplace

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.BaseTransformSameOp

org.nd4j.linalg.api.ops.impl.transforms.comparison.CompareAndReplace

All Implemented Interfaces:

Op, TransformOp, TransformSameOp

public class CompareAndReplace
extends BaseTransformSameOp

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	Description
CompareAndReplace()
CompareAndReplace(SameDiff sameDiff, SDVariable to, SDVariable from, Condition condition)
CompareAndReplace(INDArray x, INDArray y, INDArray z, Condition condition)	With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise Pseudocode: z[i] = condition(x[i]) ? y[i] : x[i];
CompareAndReplace(INDArray x, INDArray y, Condition condition)	With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise PLEASE NOTE: X will be modified inplace.

Method Summary

Modifier and Type	Method	Description
List<DataType>	calculateOutputDataTypes(List<DataType> dataTypes)	Calculate the data types for the output arrays.
List<SDVariable>	doDiff(List<SDVariable> grad)	The actual implementation for automatic differentiation.
String	onnxName()	The opName of this function in onnx
String	opName()	The name of the op
int	opNum()	The number of the op (mainly for old legacy XYZ ops like Op)
Map<String,Object>	propertiesForFunction()	Returns the properties for a given function
void	setPropertiesForFunction(Map<String,Object> properties)
String	tensorflowName()	The opName of this function tensorflow

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

calculateOutputShape, calculateOutputShape, getOpType, opType, resultType, resultType, validateDataTypes

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

z

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

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

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

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, rarg, replaceArg, setInstanceId, 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, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z

Constructor Detail

CompareAndReplace

public CompareAndReplace(SameDiff sameDiff,
                         SDVariable to,
                         SDVariable from,
                         Condition condition)

CompareAndReplace

public CompareAndReplace()

CompareAndReplace

public CompareAndReplace(INDArray x,
                         INDArray y,
                         Condition condition)

With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise PLEASE NOTE: X will be modified inplace. Pseudocode: z[i] = condition(x[i]) ? y[i] : x[i];

Parameters:

x -

y -

condition -

CompareAndReplace

public CompareAndReplace(INDArray x,
                         INDArray y,
                         INDArray z,
                         Condition condition)

With this constructor, op will check each X element against given Condition, and if condition met, element Z will be set to Y value, and X otherwise Pseudocode: z[i] = condition(x[i]) ? y[i] : x[i];

Parameters:

x -

y -

z -

condition -

Method Detail

propertiesForFunction

public Map<String,Object> propertiesForFunction()

Description copied from class: DifferentialFunction

Returns the properties for a given function

Overrides:

propertiesForFunction in class DifferentialFunction

Returns:

setPropertiesForFunction

public void setPropertiesForFunction(Map<String,Object> properties)

Overrides:

setPropertiesForFunction in class DifferentialFunction

opNum

public int opNum()

Description copied from class: DifferentialFunction

The number of the op (mainly for old legacy XYZ ops like Op)

Specified by:

opNum in interface Op

Overrides:

opNum in class DifferentialFunction

Returns:

opName

public String opName()

Description copied from class: DifferentialFunction

The name of the op

Specified by:

opName in interface Op

Overrides:

opName in class DifferentialFunction

Returns:

the opName of this operation

onnxName

public String onnxName()

Description copied from class: DifferentialFunction

The opName of this function in onnx

Overrides:

onnxName in class BaseOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class BaseOp

Returns:

doDiff

public List<SDVariable> doDiff(List<SDVariable> grad)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Specified by:

doDiff in class DifferentialFunction

Returns:

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 BaseTransformSameOp

Parameters:

dataTypes - The data types of the inputs

Returns:

The data types of the outputs