Class DropOut
- 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.random.BaseRandomOp
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- org.nd4j.linalg.api.ops.random.impl.DropOut
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public class DropOut extends BaseRandomOp
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.random.BaseRandomOp
dataType, shape
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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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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<LongShapeDescriptor>
calculateOutputShape(OpContext oc)
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
)Op.Type
opType()
The type of the op-
Methods inherited from class org.nd4j.linalg.api.ops.random.BaseRandomOp
calculateOutputDataTypes, calculateOutputShape, isInPlace, isTripleArgRngOp
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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, z
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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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DropOut
public DropOut(SameDiff sameDiff, SDVariable input, double p)
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DropOut
public DropOut(@NonNull @NonNull INDArray x, double p)
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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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opType
public Op.Type opType()
Description copied from class:DifferentialFunction
The type of the op- Overrides:
opType
in classBaseRandomOp
- Returns:
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calculateOutputShape
public List<LongShapeDescriptor> calculateOutputShape(OpContext oc)
- Overrides:
calculateOutputShape
in classDifferentialFunction
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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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