Class Enter
- 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.Enter
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- All Implemented Interfaces:
CustomOp
public class Enter 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 protected boolean
isConstant
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 Enter()
Enter(SameDiff sameDiff, String frameName, SDVariable input)
Enter(SameDiff sameDiff, String frameName, SDVariable input, boolean isConstant)
Enter(SameDiff sameDiff, SDVariable[] inputs)
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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.void
configureFromArguments()
This allows a custom op to configure relevant fields from its arguments.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 opvoid
setPropertiesForFunction(Map<String,Object> properties)
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, configureWithSameDiff, getFrameName, mappingsForFunction, propertiesForFunction, setFrameName
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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, 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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isConstant
protected boolean isConstant
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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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Enter
public Enter()
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Enter
public Enter(SameDiff sameDiff, SDVariable[] inputs)
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Enter
public Enter(SameDiff sameDiff, String frameName, SDVariable input)
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Enter
public Enter(SameDiff sameDiff, String frameName, SDVariable input, boolean isConstant)
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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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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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configureFromArguments
public void configureFromArguments()
Description copied from interface:CustomOp
This allows a custom op to configure relevant fields from its arguments. This is needed when ops are created via reflection for things like model import.- Specified by:
configureFromArguments
in interfaceCustomOp
- Overrides:
configureFromArguments
in classBaseCompatOp
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setPropertiesForFunction
public void setPropertiesForFunction(Map<String,Object> properties)
- Overrides:
setPropertiesForFunction
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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