org.nd4j.linalg.api.ops.impl.image

Class ExtractImagePatches

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.image.ExtractImagePatches

All Implemented Interfaces:

CustomOp

public class ExtractImagePatches
extends DynamicCustomOp

Extract image patches op - a sliding window operation over 4d activations that puts the output images patches into the depth dimension

Author:

Alex Black

Nested Class Summary

Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp.DynamicCustomOpsBuilder

Field Summary

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

axis, bArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments

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

dimensions, extraArgs, inPlace, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
ExtractImagePatches()
ExtractImagePatches(INDArray input, int[] kSizes, int[] strides, int[] rates, boolean sameMode)
ExtractImagePatches(SameDiff samediff, SDVariable input, int[] kSizes, int[] strides, int[] rates, boolean sameMode)

Method Summary

Modifier and Type	Method and Description
protected void	addArgs()
List<SDVariable>	doDiff(List<SDVariable> f1) The actual implementation for automatic differentiation.
int	getNumOutputs()
void	initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph) Initialize the function from the given NodeDef
String	opName() This method returns op opName as string
String	tensorflowName() The opName of this function tensorflow

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

addBArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, initFromOnnx, inputArguments, numBArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, onnxName, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, setInputArgument, setInputArguments, setOutputArgument, tArgs, toString, wrapFilterNull, wrapOrNull

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

arg, arg, argNames, args, attributeAdaptersForFunction, calculateOutputDataTypes, configFieldName, diff, dup, equals, f, getValue, hashCode, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariablesNames, propertiesForFunction, rarg, replaceArg, resolvePropertiesFromSameDiffBeforeExecution, 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.CustomOp

isInplaceCall

Constructor Detail

ExtractImagePatches

public ExtractImagePatches()

ExtractImagePatches

public ExtractImagePatches(@NonNull
                           SameDiff samediff,
                           @NonNull
                           SDVariable input,
                           @NonNull
                           int[] kSizes,
                           @NonNull
                           int[] strides,
                           @NonNull
                           int[] rates,
                           boolean sameMode)

ExtractImagePatches

public ExtractImagePatches(@NonNull
                           INDArray input,
                           @NonNull
                           int[] kSizes,
                           @NonNull
                           int[] strides,
                           @NonNull
                           int[] rates,
                           boolean sameMode)

Method Detail

opName

public String opName()

Description copied from class: DynamicCustomOp

This method returns op opName as string

Specified by:

opName in interface CustomOp

Overrides:

opName in class DynamicCustomOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class DynamicCustomOp

Returns:

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 DynamicCustomOp

addArgs

protected void addArgs()

doDiff

public List<SDVariable> doDiff(List<SDVariable> f1)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Overrides:

doDiff in class DynamicCustomOp

Returns:

getNumOutputs

public int getNumOutputs()

Overrides:

getNumOutputs in class DifferentialFunction