Class ApplyAdagradDa<T extends TType>

java.lang.Object

org.tensorflow.op.RawOp

org.tensorflow.op.train.ApplyAdagradDa<T>

All Implemented Interfaces:

Shaped, Op, Operand<T>

@Operator(group="train")
public final class ApplyAdagradDa<T extends TType>
extends RawOp
implements Operand<T>

Update '*var' according to the proximal adagrad scheme.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ApplyAdagradDa.Inputs<T extends TType>
static class	ApplyAdagradDa.Options	Optional attributes for ApplyAdagradDa

Field Summary

Fields

Modifier and Type	Field	Description
static final String	OP_NAME	The name of this op, as known by TensorFlow core engine

Fields inherited from class RawOp

operation

Constructor Summary

Constructors

Constructor	Description
ApplyAdagradDa(Operation operation)

Method Summary

Modifier and Type	Method	Description
Output<T>	asOutput()	Returns the symbolic handle of the tensor.
static <T extends TType> ApplyAdagradDa<T>	create(Scope scope, Operand<T> var, Operand<T> gradientAccumulator, Operand<T> gradientSquaredAccumulator, Operand<T> grad, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<TInt64> globalStep, ApplyAdagradDa.Options... options)	Factory method to create a class wrapping a new ApplyAdagradDA operation.
Output<T>	out()	Gets out.
static ApplyAdagradDa.Options	useLocking(Boolean useLocking)	Sets the useLocking option.

Methods inherited from class RawOp

equals, hashCode, op, toString

Methods inherited from class Object

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

Methods inherited from interface Op

env, op

Methods inherited from interface Operand

asTensor, shape, type

Methods inherited from interface Shaped

rank, size

Field Details

OP_NAME

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

See Also:

• Constant Field Values

Constructor Details

ApplyAdagradDa

public ApplyAdagradDa(Operation operation)

Method Details

create

@Endpoint(describeByClass=true)
public static <T extends TType> ApplyAdagradDa<T> create(Scope scope,
 Operand<T> var,
 Operand<T> gradientAccumulator,
 Operand<T> gradientSquaredAccumulator,
 Operand<T> grad,
 Operand<T> lr,
 Operand<T> l1,
 Operand<T> l2,
 Operand<TInt64> globalStep,
 ApplyAdagradDa.Options... options)

Factory method to create a class wrapping a new ApplyAdagradDA operation.

Type Parameters:

T - data type for ApplyAdagradDA output and operands

Parameters:

scope - current scope

var - Should be from a Variable().

gradientAccumulator - Should be from a Variable().

gradientSquaredAccumulator - Should be from a Variable().

grad - The gradient.

lr - Scaling factor. Must be a scalar.

l1 - L1 regularization. Must be a scalar.

l2 - L2 regularization. Must be a scalar.

globalStep - Training step number. Must be a scalar.

options - carries optional attribute values

Returns:

a new instance of ApplyAdagradDa

useLocking

public static ApplyAdagradDa.Options useLocking(Boolean useLocking)

Sets the useLocking option.

Parameters:

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.

Returns:

this Options instance.

out

public Output<T> out()

Gets out. Same as "var".

Returns:

out.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

Specified by:

asOutput in interface Operand<T extends TType>

See Also:

• OperationBuilder.addInput(Output)