org.nd4j.linalg.api.ops

Class BaseBroadcastOp

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseBroadcastOp

All Implemented Interfaces:

BroadcastOp, Op

Direct Known Subclasses:

BiasAddGrad, BroadcastAddOp, BroadcastAMax, BroadcastAMin, BroadcastCopyOp, BroadcastDivOp, BroadcastEqualTo, BroadcastGradientArgs, BroadcastGreaterThan, BroadcastGreaterThanOrEqual, BroadcastLessThan, BroadcastLessThanOrEqual, BroadcastMax, BroadcastMin, BroadcastMulOp, BroadcastNotEqual, BroadcastRDivOp, BroadcastRSubOp, BroadcastSubOp

public abstract class BaseBroadcastOp
extends BaseOp
implements BroadcastOp

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 int[]	dimension

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

extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexId

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

dimensions, inPlace, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
BaseBroadcastOp(INDArray x, INDArray y, INDArray z, int... dimension)
BaseBroadcastOp(SameDiff sameDiff)
BaseBroadcastOp(SameDiff sameDiff, SDVariable i_v, int[] dimension, boolean inPlace)
BaseBroadcastOp(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, int[] dimension, Object[] extraArgs)
BaseBroadcastOp(SameDiff sameDiff, SDVariable i_v, int[] dimension, Object[] extraArgs)
BaseBroadcastOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace, int[] dimension)
BaseBroadcastOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension)
BaseBroadcastOp(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[] dimension, Object[] extraArgs)

Method Summary

Modifier and Type	Method and Description
List<int[]>	calculateOutputShape() Calculate the output shape for this op
int[]	getDimension() Dimension to do the vector op along.
void	initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, Map<String,OnnxProto3.AttributeProto> attributesForNode, OnnxProto3.GraphProto graph) Iniitialize the function from the given OnnxProto3.NodeProto
void	initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph) Initialize the function from the given NodeDef
Op.Type	opType() The type of the op
void	setDimension(int... dimension) Set the dimension for the vector op.

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

equals, exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, init, isExecSpecial, isPassThrough, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, y, z

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

arg, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, doDiff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxName, onnxNames, opName, opNum, outputVariables, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setValueFor, tensorflowName, 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

exec, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, init, isExecSpecial, isPassThrough, n, numProcessed, opName, opNum, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, y, z

Field Detail

dimension

protected int[] dimension

Constructor Detail

BaseBroadcastOp

public BaseBroadcastOp(SameDiff sameDiff,
                       SDVariable i_v1,
                       SDVariable i_v2,
                       int[] dimension)

BaseBroadcastOp

public BaseBroadcastOp(SameDiff sameDiff,
                       SDVariable i_v1,
                       SDVariable i_v2,
                       boolean inPlace,
                       int[] dimension)

BaseBroadcastOp

public BaseBroadcastOp(SameDiff sameDiff)

BaseBroadcastOp

public BaseBroadcastOp(SameDiff sameDiff,
                       SDVariable i_v1,
                       SDVariable i_v2,
                       int[] dimension,
                       Object[] extraArgs)

BaseBroadcastOp

public BaseBroadcastOp(SameDiff sameDiff,
                       SDVariable i_v,
                       int[] dimension,
                       boolean inPlace)

BaseBroadcastOp

public BaseBroadcastOp(SameDiff sameDiff,
                       SDVariable i_v,
                       int[] shape,
                       boolean inPlace,
                       int[] dimension,
                       Object[] extraArgs)

BaseBroadcastOp

public BaseBroadcastOp(SameDiff sameDiff,
                       SDVariable i_v,
                       int[] dimension,
                       Object[] extraArgs)

BaseBroadcastOp

public BaseBroadcastOp(INDArray x,
                       INDArray y,
                       INDArray z,
                       int... dimension)

Method Detail

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class DifferentialFunction

Returns:

calculateOutputShape

public List<int[]> calculateOutputShape()

Calculate the output shape for this op

Overrides:

calculateOutputShape in class DifferentialFunction

Returns:

getDimension

public int[] getDimension()

Description copied from interface: BroadcastOp

Dimension to do the vector op along. Along dimension 1 for row vector ops, along 0 for column vector ops

Specified by:

getDimension in interface BroadcastOp

setDimension

public void setDimension(int... dimension)

Description copied from interface: BroadcastOp

Set the dimension for the vector op.

Specified by:

setDimension in interface BroadcastOp

initFromTensorFlow

public void initFromTensorFlow(NodeDef nodeDef,
                               SameDiff initWith,
                               Map<String,AttrValue> attributesForNode,
                               GraphDef graph)

Description copied from class: DifferentialFunction

Initialize the function from the given NodeDef

Overrides:

initFromTensorFlow in class BaseOp

initFromOnnx

public void initFromOnnx(OnnxProto3.NodeProto node,
                         SameDiff initWith,
                         Map<String,OnnxProto3.AttributeProto> attributesForNode,
                         OnnxProto3.GraphProto graph)

Description copied from class: DifferentialFunction

Iniitialize the function from the given OnnxProto3.NodeProto

Overrides:

initFromOnnx in class BaseOp