Class SparseAccumulatorTakeGradient.Inputs

java.lang.Object

org.tensorflow.op.RawOpInputs<SparseAccumulatorTakeGradient<?>>

org.tensorflow.op.sparse.SparseAccumulatorTakeGradient.Inputs

Enclosing class:

SparseAccumulatorTakeGradient<T extends TType>

public static class SparseAccumulatorTakeGradient.Inputs
extends RawOpInputs<SparseAccumulatorTakeGradient<?>>

Field Summary

Fields

Modifier and Type	Field	Description
final DataType	dtype	The data type of accumulated gradients.
final Operand<TString>	handle	The handle to a SparseConditionalAccumulator.
final Operand<TInt32>	numRequired	Number of gradients required before we return an aggregate.

Constructor Summary

Constructors

Constructor	Description
Inputs(GraphOperation op)

Method Summary

Methods inherited from class RawOpInputs

attributeMetadata, attributeNames, attributes, attributeValue, attributeValues, equals, getOutputs, hashCode, toString

Modifier and Type	Method	Description
AttributeMetadata	attributeMetadata(String name)	Get the metadata for an attribute
Set<String>	attributeNames()	Get the names of this op's attributes
OperationAttributeInspector	attributes()	Get an inspector for the operation's attributes.
AttrValue	attributeValue(String name)	Get the value of an attribute as an AttrValue proto.
Map<String, AttrValue>	attributeValues()	Get all attribute value protos
final boolean	equals(Object obj)
SparseAccumulatorTakeGradient<?>	getOutputs()	The outputs of this operation.
final int	hashCode()
final String	toString()

Methods inherited from class Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Details

handle

public final Operand<TString> handle

The handle to a SparseConditionalAccumulator.

numRequired

public final Operand<TInt32> numRequired

Number of gradients required before we return an aggregate.

dtype

public final DataType dtype

The data type of accumulated gradients. Needs to correspond to the type of the accumulator.

Constructor Details

Inputs

public Inputs(GraphOperation op)