ResourceApplyGradientDescent

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public final class ResourceApplyGradientDescent

Update '*var' by subtracting 'alpha' * 'delta' from it.

Nested Classes

class ResourceApplyGradientDescent.Options Optional attributes for ResourceApplyGradientDescent  

Constants

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

Public Methods

static <T extends TType> ResourceApplyGradientDescent
create(Scope scope, Operand<?> var, Operand<T> alpha, Operand<T> delta, Options... options)
Factory method to create a class wrapping a new ResourceApplyGradientDescent operation.
static ResourceApplyGradientDescent.Options
useLocking(Boolean useLocking)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "ResourceApplyGradientDescent"

Public Methods

public static ResourceApplyGradientDescent create (Scope scope, Operand<?> var, Operand<T> alpha, Operand<T> delta, Options... options)

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

Parameters
scope current scope
var Should be from a Variable().
alpha Scaling factor. Must be a scalar.
delta The change.
options carries optional attributes values
Returns
  • a new instance of ResourceApplyGradientDescent

public static ResourceApplyGradientDescent.Options useLocking (Boolean useLocking)

Parameters
useLocking If `True`, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.