ResourceApplyProximalAdagrad

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public final class ResourceApplyProximalAdagrad

Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.

accum += grad grad prox_v = var - lr grad (1 / sqrt(accum)) var = sign(prox_v)/(1+lrl2) max{|prox_v|-lrl1,0}

Nested Classes

class ResourceApplyProximalAdagrad.Options Optional attributes for ResourceApplyProximalAdagrad  

Constants

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

Public Methods

static <T extends TType> ResourceApplyProximalAdagrad
create(Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Options... options)
Factory method to create a class wrapping a new ResourceApplyProximalAdagrad operation.
static ResourceApplyProximalAdagrad.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: "ResourceApplyProximalAdagrad"

Public Methods

public static ResourceApplyProximalAdagrad create (Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> l1, Operand<T> l2, Operand<T> grad, Options... options)

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

Parameters
scope current scope
var Should be from a Variable().
accum Should be from a Variable().
lr Scaling factor. Must be a scalar.
l1 L1 regularization. Must be a scalar.
l2 L2 regularization. Must be a scalar.
grad The gradient.
options carries optional attributes values
Returns
  • a new instance of ResourceApplyProximalAdagrad

public static ResourceApplyProximalAdagrad.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.