Class And
- 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.BaseTransformOp
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- org.nd4j.linalg.api.ops.BaseTransformBoolOp
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- org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.And
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- All Implemented Interfaces:
Op
,TransformOp
,TransformSameOp
public class And extends BaseTransformBoolOp
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Field Summary
Fields Modifier and Type Field Description protected double
comparable
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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 And()
And(@NonNull INDArray x, @NonNull INDArray y)
And(@NonNull INDArray x, @NonNull INDArray y, Number comparable)
And(@NonNull INDArray x, @NonNull INDArray y, INDArray z)
And(@NonNull INDArray x, @NonNull INDArray y, INDArray z, Number comparable)
And(SameDiff sameDiff, SDVariable i_v, boolean inPlace)
And(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double comparable)
And(SameDiff sameDiff, SDVariable ix, SDVariable iy)
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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.Op.Type
getOpType()
String
onnxName()
The opName of this function in onnxString
opName()
The name of the opint
opNum()
The number of the op (mainly for old legacy XYZ ops likeOp
)Op.Type
opType()
The type of the opString
tensorflowName()
The opName of this function tensorflow-
Methods inherited from class org.nd4j.linalg.api.ops.BaseTransformBoolOp
calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, resultType, resultType, validateDataTypes
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Methods inherited from class org.nd4j.linalg.api.ops.BaseTransformOp
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, outputVariables, setX, setY, setZ, 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, z
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Constructor Detail
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And
public And(SameDiff sameDiff, SDVariable ix, SDVariable iy)
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And
public And(SameDiff sameDiff, SDVariable i_v, boolean inPlace)
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And
public And(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double comparable)
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And
public And()
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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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getOpType
public Op.Type getOpType()
- Specified by:
getOpType
in interfaceTransformOp
- Overrides:
getOpType
in classBaseTransformBoolOp
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opType
public Op.Type opType()
Description copied from class:DifferentialFunction
The type of the op- Overrides:
opType
in classBaseTransformBoolOp
- 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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onnxName
public String onnxName()
Description copied from class:DifferentialFunction
The opName of this function in onnx
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tensorflowName
public String tensorflowName()
Description copied from class:DifferentialFunction
The opName of this function tensorflow- Overrides:
tensorflowName
in classBaseOp
- Returns:
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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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