Class ImageResize
- java.lang.Object
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- org.nd4j.autodiff.functions.DifferentialFunction
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- org.nd4j.linalg.api.ops.DynamicCustomOp
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- org.nd4j.linalg.api.ops.impl.image.ImageResize
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- All Implemented Interfaces:
CustomOp
public class ImageResize extends DynamicCustomOp
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Nested Class Summary
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Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
DynamicCustomOp.DynamicCustomOpsBuilder
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, sArguments, tArguments
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Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
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Constructor Summary
Constructors Constructor Description ImageResize(@NonNull SameDiff sameDiff, @NonNull SDVariable in, @NonNull SDVariable size, boolean preserveAspectRatio, boolean antialias, ImageResizeMethod method)ImageResize(@NonNull SameDiff sameDiff, @NonNull SDVariable in, @NonNull SDVariable size, double bicubicCoefficient, boolean preserveAspectRatio, boolean antialias)ImageResize(@NonNull INDArray in, @NonNull INDArray size, boolean preserveAspectRatio, boolean antialias, ImageResizeMethod method)ImageResize(@NonNull INDArray in, @NonNull INDArray size, double bicubicCoefficient, boolean exclude_outside, boolean preserveAspectRatio)ImageResize(@NonNull INDArray in, @NonNull INDArray size, double bicubicCoefficient, CoordinateTransformationMode coorMode, boolean exclude_outside, boolean preserveAspectRatio)ImageResize(@NonNull INDArray in, @NonNull INDArray size, CoordinateTransformationMode coorMode, NearestMode nearestMode, boolean preserveAspectRatio, boolean antialias)ImageResize(@NonNull INDArray in, @NonNull INDArray size, NearestMode nearestMode, boolean preserveAspectRatio, boolean antialias)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<DataType>calculateOutputDataTypes(List<DataType> dataTypes)Calculate the data types for the output arrays.StringopName()This method returns op opName as string-
Methods inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addOutputsToOp, addSArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, computeArrays, configureFromArguments, dArgs, doDiff, generateFake, generateFake, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, getValue, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, mappingsForFunction, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numSArguments, numTArguments, onnxName, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, propertiesForFunction, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setPropertiesForFunction, setValueFor, tArgs, tensorflowName, toString, wrapFilterNull, wrapOrNull, wrapOrNull
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Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, equals, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getNumOutputs, getStringFromProperty, hashCode, isConfigProperties, larg, onnxNames, outputs, outputVariable, outputVariablesNames, rarg, replaceArg, setInstanceId, tensorflowNames
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface org.nd4j.linalg.api.ops.CustomOp
isInplaceCall
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Constructor Detail
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ImageResize
public ImageResize(@NonNull @NonNull SameDiff sameDiff, @NonNull @NonNull SDVariable in, @NonNull @NonNull SDVariable size, boolean preserveAspectRatio, boolean antialias, ImageResizeMethod method)
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ImageResize
public ImageResize(@NonNull @NonNull INDArray in, @NonNull @NonNull INDArray size, boolean preserveAspectRatio, boolean antialias, ImageResizeMethod method)
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ImageResize
public ImageResize(@NonNull @NonNull SameDiff sameDiff, @NonNull @NonNull SDVariable in, @NonNull @NonNull SDVariable size, double bicubicCoefficient, boolean preserveAspectRatio, boolean antialias)
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ImageResize
public ImageResize(@NonNull @NonNull INDArray in, @NonNull @NonNull INDArray size, double bicubicCoefficient, boolean exclude_outside, boolean preserveAspectRatio)
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ImageResize
public ImageResize(@NonNull @NonNull INDArray in, @NonNull @NonNull INDArray size, double bicubicCoefficient, CoordinateTransformationMode coorMode, boolean exclude_outside, boolean preserveAspectRatio)
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ImageResize
public ImageResize(@NonNull @NonNull INDArray in, @NonNull @NonNull INDArray size, NearestMode nearestMode, boolean preserveAspectRatio, boolean antialias)
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ImageResize
public ImageResize(@NonNull @NonNull INDArray in, @NonNull @NonNull INDArray size, CoordinateTransformationMode coorMode, NearestMode nearestMode, boolean preserveAspectRatio, boolean antialias)
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Method Detail
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opName
public String opName()
Description copied from class:DynamicCustomOpThis method returns op opName as string- Specified by:
opNamein interfaceCustomOp- Overrides:
opNamein classDynamicCustomOp- Returns:
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calculateOutputDataTypes
public List<DataType> calculateOutputDataTypes(List<DataType> dataTypes)
Description copied from class:DifferentialFunctionCalculate the data types for the output arrays. Though datatypes can also be inferred fromDifferentialFunction.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:
calculateOutputDataTypesin classDifferentialFunction- Parameters:
dataTypes- The data types of the inputs- Returns:
- The data types of the outputs
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