Class ScalarGreaterThan
- java.lang.Object
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- org.nd4j.autodiff.functions.DifferentialFunction
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- org.nd4j.linalg.api.ops.BaseOp
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- org.nd4j.linalg.api.ops.BaseScalarBoolOp
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- org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarGreaterThan
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public class ScalarGreaterThan extends BaseScalarBoolOp
Return a binary (0 or 1) when greater than a number- Author:
- Adam Gibson
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.BaseOp
dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId
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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 ScalarGreaterThan()ScalarGreaterThan(SameDiff sameDiff, SDVariable i_v, Number scalar)ScalarGreaterThan(SameDiff sameDiff, SDVariable i_v, Number scalar, boolean inPlace)ScalarGreaterThan(SameDiff sameDiff, SDVariable i_v, Number scalar, boolean inPlace, Object[] extraArgs)ScalarGreaterThan(SameDiff sameDiff, SDVariable i_v, Number scalar, Object[] extraArgs)ScalarGreaterThan(INDArray x, Number num)ScalarGreaterThan(INDArray x, INDArray z, Number num)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<SDVariable>doDiff(List<SDVariable> f1)The actual implementation for automatic differentiation.StringopName()The name of the opintopNum()The number of the op (mainly for old legacy XYZ ops likeOp)-
Methods inherited from class org.nd4j.linalg.api.ops.BaseScalarBoolOp
calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, getDimension, getOpType, opType, scalar, setDimension, setScalar, setScalar, validateDataTypes, z
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Methods inherited from class org.nd4j.linalg.api.ops.BaseOp
clearArrays, computeVariables, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, initFromOnnx, initFromTensorFlow, onnxName, outputVariables, setX, setY, setZ, tensorflowName, toCustomOp, toString, x, y
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Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, 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.Op
clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y
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Methods inherited from interface org.nd4j.linalg.api.ops.ScalarOp
dimensions
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Constructor Detail
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ScalarGreaterThan
public ScalarGreaterThan()
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ScalarGreaterThan
public ScalarGreaterThan(SameDiff sameDiff, SDVariable i_v, Number scalar)
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ScalarGreaterThan
public ScalarGreaterThan(SameDiff sameDiff, SDVariable i_v, Number scalar, boolean inPlace)
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ScalarGreaterThan
public ScalarGreaterThan(SameDiff sameDiff, SDVariable i_v, Number scalar, boolean inPlace, Object[] extraArgs)
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ScalarGreaterThan
public ScalarGreaterThan(SameDiff sameDiff, SDVariable i_v, Number scalar, Object[] extraArgs)
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Method Detail
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opNum
public int opNum()
Description copied from class:DifferentialFunctionThe number of the op (mainly for old legacy XYZ ops likeOp)- Specified by:
opNumin interfaceOp- Overrides:
opNumin classDifferentialFunction- Returns:
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opName
public String opName()
Description copied from class:DifferentialFunctionThe name of the op- Specified by:
opNamein interfaceOp- Overrides:
opNamein classDifferentialFunction- Returns:
- the opName of this operation
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doDiff
public List<SDVariable> doDiff(List<SDVariable> f1)
Description copied from class:DifferentialFunctionThe actual implementation for automatic differentiation.- Specified by:
doDiffin classDifferentialFunction- Returns:
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