org.nd4j.linalg.api.ops

Class BaseIndexAccumulation

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseIndexAccumulation

All Implemented Interfaces:

IndexAccumulation, Op

Direct Known Subclasses:

FirstIndex, LastIndex

public abstract class BaseIndexAccumulation
extends BaseOp
implements IndexAccumulation

Nested Class Summary

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

Op.Type

Field Summary

Fields

Modifier and Type	Field and Description
protected boolean	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

Constructor and Description
BaseIndexAccumulation()
BaseIndexAccumulation(INDArray x, boolean keepDims, int[] dimensions)
BaseIndexAccumulation(INDArray x, INDArray z, int[] dimensions)
BaseIndexAccumulation(INDArray x, int[] dimensions)
BaseIndexAccumulation(SameDiff sameDiff, SDVariable i_v, boolean keepDims, int[] dimensions)
BaseIndexAccumulation(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, boolean keepDims, int[] dimensions)

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	opType() The type of the op
boolean	validateDataTypes()

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, z

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.IndexAccumulation

dimensions, getFinalResult, isKeepDims

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

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

Field Detail

keepDims

protected boolean keepDims

Constructor Detail

BaseIndexAccumulation

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

BaseIndexAccumulation

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

BaseIndexAccumulation

public BaseIndexAccumulation()

BaseIndexAccumulation

public BaseIndexAccumulation(INDArray x,
                             int[] dimensions)

BaseIndexAccumulation

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

BaseIndexAccumulation

public BaseIndexAccumulation(INDArray x,
                             INDArray z,
                             int[] dimensions)

Method Detail

calculateOutputShape

public List<LongShapeDescriptor> calculateOutputShape()

Description copied from class: DifferentialFunction

Calculate the output shape for this op

Overrides:

calculateOutputShape in class DifferentialFunction

Returns:

List of output shape descriptors

calculateOutputShape

public List<LongShapeDescriptor> calculateOutputShape(OpContext oc)

Overrides:

calculateOutputShape in class DifferentialFunction

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class DifferentialFunction

Returns:

validateDataTypes

public boolean validateDataTypes()

Specified by:

validateDataTypes in interface IndexAccumulation

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