Package org.nd4j.linalg.api.ops

Class BaseReduceBoolOp

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseReduceOp

org.nd4j.linalg.api.ops.BaseReduceBoolOp

All Implemented Interfaces:

Op, ReduceBoolOp, ReduceOp

Direct Known Subclasses:

All, Any, IsInf, IsNaN

public abstract class BaseReduceBoolOp
extends BaseReduceOp
implements ReduceBoolOp

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.BaseReduceOp

dimensionVariable, isComplex, isEmptyReduce, keepDims

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

Modifier	Constructor	Description
protected	BaseReduceBoolOp()
	BaseReduceBoolOp(SameDiff sameDiff)
	BaseReduceBoolOp(SameDiff sameDiff, SDVariable i_v)
	BaseReduceBoolOp(SameDiff sameDiff, SDVariable i_v, boolean keepDims)
protected	BaseReduceBoolOp(SameDiff sameDiff, SDVariable input, int... dimensions)
protected	BaseReduceBoolOp(SameDiff sameDiff, SDVariable input, int[] dimensions, boolean keepDims)
	BaseReduceBoolOp(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2)
	BaseReduceBoolOp(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims)
	BaseReduceBoolOp(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions)
	BaseReduceBoolOp(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims)
	BaseReduceBoolOp(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions)
	BaseReduceBoolOp(INDArray x, boolean keepDims, int... dimensions)
	BaseReduceBoolOp(INDArray x, int... dimensions)
	BaseReduceBoolOp(INDArray x, INDArray z, boolean keepDims, int[] dimensions)
	BaseReduceBoolOp(INDArray x, INDArray z, int... dimensions)
	BaseReduceBoolOp(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions)
	BaseReduceBoolOp(INDArray x, INDArray y, INDArray z, int... dimensions)

Method Summary

Modifier and Type	Method	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)
abstract boolean	emptyValue()
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 oc)
boolean	validateDataTypes(OpContext oc)

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

configureWithSameDiff, hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, noOp, setDimensions, setPropertiesForFunction

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

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

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

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, doDiff, dup, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, opName, opNum, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, 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, opName, opNum, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z

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

dimensions, getFinalResult, isComplexAccumulation, isKeepDims, noOp, setDimensions

Constructor Detail

BaseReduceBoolOp

public BaseReduceBoolOp(SameDiff sameDiff,
                        SDVariable i_v,
                        SDVariable i_v2,
                        int[] dimensions)

BaseReduceBoolOp

public BaseReduceBoolOp(SameDiff sameDiff,
                        SDVariable i_v,
                        boolean keepDims)

BaseReduceBoolOp

public BaseReduceBoolOp(SameDiff sameDiff,
                        SDVariable i_v,
                        SDVariable dimensions,
                        boolean keepDims)

BaseReduceBoolOp

public BaseReduceBoolOp(SameDiff sameDiff,
                        SDVariable i_v,
                        SDVariable i_v2)

BaseReduceBoolOp

protected BaseReduceBoolOp(SameDiff sameDiff,
                           SDVariable input,
                           int[] dimensions,
                           boolean keepDims)

BaseReduceBoolOp

public BaseReduceBoolOp(SameDiff sameDiff,
                        SDVariable i_v,
                        SDVariable i_v2,
                        int[] dimensions,
                        boolean keepDims)

BaseReduceBoolOp

public BaseReduceBoolOp(SameDiff sameDiff,
                        SDVariable i_v)

BaseReduceBoolOp

protected BaseReduceBoolOp(SameDiff sameDiff,
                           SDVariable input,
                           int... dimensions)

BaseReduceBoolOp

public BaseReduceBoolOp(INDArray x,
                        INDArray z,
                        boolean keepDims,
                        int[] dimensions)

BaseReduceBoolOp

public BaseReduceBoolOp(INDArray x,
                        int... dimensions)

BaseReduceBoolOp

public BaseReduceBoolOp(INDArray x,
                        boolean keepDims,
                        int... dimensions)

BaseReduceBoolOp

public BaseReduceBoolOp(INDArray x,
                        INDArray z,
                        int... dimensions)

BaseReduceBoolOp

public BaseReduceBoolOp(INDArray x,
                        INDArray y,
                        INDArray z,
                        int... dimensions)

BaseReduceBoolOp

public BaseReduceBoolOp(SameDiff sameDiff)

BaseReduceBoolOp

public BaseReduceBoolOp(SameDiff sameDiff,
                        SDVariable i_v,
                        SDVariable i_v2,
                        SDVariable dimensions)

BaseReduceBoolOp

protected BaseReduceBoolOp()

BaseReduceBoolOp

public BaseReduceBoolOp(INDArray x,
                        INDArray y,
                        INDArray z,
                        boolean keepDims,
                        int[] dimensions)

Method Detail

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class DifferentialFunction

Returns:

getOpType

public Op.Type getOpType()

Specified by:

getOpType in interface ReduceOp

resultType

public DataType resultType()

Description copied from interface: ReduceOp

This method returns datatype for result array wrt given inputs

Specified by:

resultType in interface ReduceOp

Returns:

resultType

public DataType resultType(OpContext oc)

Specified by:

resultType in interface ReduceOp

validateDataTypes

public boolean validateDataTypes(OpContext oc)

Specified by:

validateDataTypes in interface ReduceOp

calculateOutputShape

public List<LongShapeDescriptor> calculateOutputShape()

Description copied from class: DifferentialFunction

Calculate the output shape for this op

Specified by:

calculateOutputShape in class BaseReduceOp

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

emptyValue

public abstract boolean emptyValue()