org.tensorflow.op.train

Class ApplyAdagradDa<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for out() output

All Implemented Interfaces:

Op, Operand<T>

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

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

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ApplyAdagradDa.Options Optional attributes for ApplyAdagradDa

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T> 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<Long> globalStep, ApplyAdagradDa.Options... options) Factory method to create a class wrapping a new ApplyAdagradDa operation.
Output<T>	out() Same as "var".
static ApplyAdagradDa.Options	useLocking(Boolean useLocking)

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T> 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<Long> globalStep,
                                           ApplyAdagradDa.Options... options)

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

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 attributes values

Returns:

a new instance of ApplyAdagradDa

useLocking

public static ApplyAdagradDa.Options useLocking(Boolean useLocking)

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.

out

public Output<T> out()

Same as "var".

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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>

See Also:

OperationBuilder.addInput(Output)