Class CountNonZero
- 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.BaseReduceOp
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- org.nd4j.linalg.api.ops.BaseReduceLongOp
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- org.nd4j.linalg.api.ops.impl.reduce.longer.CountNonZero
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- All Implemented Interfaces:
Op
,ReduceLongOp
,ReduceOp
public class CountNonZero extends BaseReduceLongOp
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.BaseReduceOp
dimensionVariable, isComplex, isEmptyReduce, keepDims
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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 CountNonZero()
CountNonZero(SameDiff sameDiff)
CountNonZero(SameDiff sameDiff, SDVariable i_v)
CountNonZero(SameDiff sameDiff, SDVariable i_v, boolean keepDims)
CountNonZero(SameDiff sd, SDVariable in, boolean keepDims, int[] dimensions)
CountNonZero(SameDiff sameDiff, SDVariable input, int... dimensions)
CountNonZero(SameDiff sameDiff, SDVariable input, int[] dimensions, boolean keepDims)
CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2)
CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims)
CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions)
CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims)
CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions)
CountNonZero(INDArray in, boolean keepDims, int[] dimensions)
CountNonZero(INDArray x, int... dimensions)
CountNonZero(INDArray in, int[] dimensions, boolean keepDims)
CountNonZero(INDArray x, INDArray z, int... dimensions)
CountNonZero(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions)
CountNonZero(INDArray x, INDArray y, INDArray z, int... dimensions)
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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.String
opName()
The name of the opint
opNum()
The number of the op (mainly for old legacy XYZ ops likeOp
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Methods inherited from class org.nd4j.linalg.api.ops.BaseReduceLongOp
calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, getOpType, opType, resultType, resultType, validateDataTypes
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Methods inherited from class org.nd4j.linalg.api.ops.BaseReduceOp
configureWithSameDiff, hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, noOp, setDimensions, setPropertiesForFunction
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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, onnxName, outputVariables, setX, setY, setZ, tensorflowName, toCustomOp, toString, x, y, z
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Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, 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, z
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Methods inherited from interface org.nd4j.linalg.api.ops.ReduceOp
dimensions, getFinalResult, isComplexAccumulation, isKeepDims, noOp, setDimensions
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Constructor Detail
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions)
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable i_v, boolean keepDims)
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable dimensions, boolean keepDims)
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2)
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable input, int[] dimensions, boolean keepDims)
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, boolean keepDims)
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable i_v)
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable input, int... dimensions)
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CountNonZero
public CountNonZero(INDArray x, int... dimensions)
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CountNonZero
public CountNonZero(SameDiff sameDiff)
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CountNonZero
public CountNonZero(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, SDVariable dimensions)
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CountNonZero
public CountNonZero()
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CountNonZero
public CountNonZero(INDArray x, INDArray y, INDArray z, boolean keepDims, int[] dimensions)
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CountNonZero
public CountNonZero(INDArray in, boolean keepDims, int[] dimensions)
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CountNonZero
public CountNonZero(SameDiff sd, SDVariable in, boolean keepDims, int[] dimensions)
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CountNonZero
public CountNonZero(INDArray in, int[] dimensions, boolean keepDims)
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Method Detail
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opNum
public int opNum()
Description copied from class:DifferentialFunction
The number of the op (mainly for old legacy XYZ ops likeOp
)- Specified by:
opNum
in interfaceOp
- Overrides:
opNum
in classDifferentialFunction
- Returns:
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opName
public String opName()
Description copied from class:DifferentialFunction
The name of the op- Specified by:
opName
in interfaceOp
- Overrides:
opName
in classDifferentialFunction
- Returns:
- the opName of this operation
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doDiff
public List<SDVariable> doDiff(List<SDVariable> f1)
Description copied from class:DifferentialFunction
The actual implementation for automatic differentiation.- Specified by:
doDiff
in classDifferentialFunction
- Returns:
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