ApplyAdagradV2

public final class ApplyAdagradV2

Update '*var' according to the adagrad scheme.

accum += grad * grad var -= lr * grad * (1 / sqrt(accum))

Nested Classes

class ApplyAdagradV2.Options Optional attributes for ApplyAdagradV2

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TType > ApplyAdagradV2 <T>
create ( Scope scope, Operand <T> var, Operand <T> accum, Operand <T> lr, Operand <T> epsilon, Operand <T> grad, Options... options)
Factory method to create a class wrapping a new ApplyAdagradV2 operation.
Output <T>
out ()
Same as "var".
static ApplyAdagradV2.Options
updateSlots (Boolean updateSlots)
static ApplyAdagradV2.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: "ApplyAdagradV2"

Public Methods

public Output <T> asOutput ()

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.

public static ApplyAdagradV2 <T> create ( Scope scope, Operand <T> var, Operand <T> accum, Operand <T> lr, Operand <T> epsilon, Operand <T> grad, Options... options)

Factory method to create a class wrapping a new ApplyAdagradV2 operation.

Parameters
scope current scope
var Should be from a Variable().
accum Should be from a Variable().
lr Scaling factor. Must be a scalar.
epsilon Constant factor. Must be a scalar.
grad The gradient.
options carries optional attributes values
Returns
  • a new instance of ApplyAdagradV2

public Output <T> out ()

Same as "var".

public static ApplyAdagradV2.Options updateSlots (Boolean updateSlots)

public static ApplyAdagradV2.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.