Class Exit
- 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.controlflow.compat.BaseCompatOp
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- org.nd4j.linalg.api.ops.impl.controlflow.compat.Exit
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- All Implemented Interfaces:
CustomOp
public class Exit extends BaseCompatOp
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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
Fields Modifier and Type Field Description static String
OP_NAME
WARNING: do not change without changing serialization methods SeeFlatBuffersMapper.getOpNum(String, Type)
andDifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)
static int
OP_NUM
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Fields inherited from class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
frameName
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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 Exit(SameDiff sameDiff, SDVariable x)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description List<DataType>
calculateOutputDataTypes(List<DataType> inputDataTypes)
Calculate the data types for the output arrays.int
getNumOutputs()
void
initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
Initialize the function from the givenNodeDef
String
opName()
This method returns op opName as stringOp.Type
opType()
The type of the opSDVariable[]
outputVariables()
Return the output variables for this differential function.String
tensorflowName()
The opName of this function tensorflow-
Methods inherited from class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
addSArgument, attributeAdaptersForFunction, calculateOutputShape, computeArrays, configureFromArguments, configureWithSameDiff, getFrameName, mappingsForFunction, propertiesForFunction, setFrameName, setPropertiesForFunction
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Methods inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addOutputsToOp, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, clearArrays, dArgs, doDiff, generateFake, generateFake, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, getValue, iArgs, initFromOnnx, inputArguments, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numSArguments, numTArguments, onnxName, opHash, opNum, outputArguments, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setValueFor, tArgs, toString, wrapFilterNull, wrapOrNull, wrapOrNull
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Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, configFieldName, diff, dup, equals, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, 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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Field Detail
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OP_NAME
public static final String OP_NAME
WARNING: do not change without changing serialization methods SeeFlatBuffersMapper.getOpNum(String, Type)
andDifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)
- See Also:
- Constant Field Values
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OP_NUM
public static final int OP_NUM
- See Also:
- Constant Field Values
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Constructor Detail
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Exit
public Exit(SameDiff sameDiff, SDVariable x)
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Method Detail
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opName
public String opName()
Description copied from class:DynamicCustomOp
This method returns op opName as string- Specified by:
opName
in interfaceCustomOp
- Overrides:
opName
in classDynamicCustomOp
- Returns:
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outputVariables
public SDVariable[] outputVariables()
Description copied from class:DifferentialFunction
Return the output variables for this differential function. Note that this op *may* dynamically generate variable outputs.- Overrides:
outputVariables
in classDynamicCustomOp
- Returns:
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tensorflowName
public String tensorflowName()
Description copied from class:DifferentialFunction
The opName of this function tensorflow- Overrides:
tensorflowName
in classDynamicCustomOp
- Returns:
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opType
public Op.Type opType()
Description copied from class:DifferentialFunction
The type of the op- Overrides:
opType
in classDynamicCustomOp
- Returns:
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initFromTensorFlow
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
Description copied from class:DifferentialFunction
Initialize the function from the givenNodeDef
- Overrides:
initFromTensorFlow
in classBaseCompatOp
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getNumOutputs
public int getNumOutputs()
- Overrides:
getNumOutputs
in classDifferentialFunction
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calculateOutputDataTypes
public List<DataType> calculateOutputDataTypes(List<DataType> inputDataTypes)
Description copied from class:DifferentialFunction
Calculate 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:
calculateOutputDataTypes
in classDifferentialFunction
- Parameters:
inputDataTypes
- The data types of the inputs- Returns:
- The data types of the outputs
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