Class ApplyAdagrad.Inputs<T extends TType>

java.lang.Object

org.tensorflow.op.RawOpInputs<ApplyAdagrad<T>>

org.tensorflow.op.train.ApplyAdagrad.Inputs<T>

Enclosing class:

ApplyAdagrad<T extends TType>

public static class ApplyAdagrad.Inputs<T extends TType>
extends RawOpInputs<ApplyAdagrad<T>>

Field Summary

Fields

Modifier and Type	Field	Description
final Operand<T>	accum	Should be from a Variable().
final Operand<T>	grad	The gradient.
final Operand<T>	lr	Scaling factor.
final DataType	T	The T attribute
final boolean	updateSlots	The updateSlots attribute
final boolean	useLocking	If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
final Operand<T>	var	Should be from a Variable().

Constructor Summary

Constructors

Constructor	Description
Inputs(GraphOperation op)

Method Summary

Methods inherited from class RawOpInputs

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

Methods inherited from class Object

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

Field Details

var

public final Operand<T extends TType> var

Should be from a Variable().

accum

public final Operand<T extends TType> accum

Should be from a Variable().

lr

public final Operand<T extends TType> lr

Scaling factor. Must be a scalar.

grad

public final Operand<T extends TType> grad

The gradient.

T

public final DataType T

The T attribute

useLocking

public final boolean useLocking

If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

updateSlots

public final boolean updateSlots

The updateSlots attribute

Constructor Details

Inputs

public Inputs(GraphOperation op)