Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

ResourceApplyAdagradV2

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public final class ResourceApplyAdagradV2

Update '*var' according to the adagrad scheme.

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

Nested Classes

class ResourceApplyAdagradV2.Options Optional attributes for ResourceApplyAdagradV2  

Public Methods

static <T> ResourceApplyAdagradV2
create(Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Options... options)
Factory method to create a class wrapping a new ResourceApplyAdagradV2 operation.
static ResourceApplyAdagradV2.Options
updateSlots(Boolean updateSlots)
static ResourceApplyAdagradV2.Options
useLocking(Boolean useLocking)

Inherited Methods

Public Methods

public static ResourceApplyAdagradV2 create (Scope scope, Operand<?> var, Operand<?> accum, Operand<T> lr, Operand<T> epsilon, Operand<T> grad, Options... options)

Factory method to create a class wrapping a new ResourceApplyAdagradV2 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 ResourceApplyAdagradV2

public static ResourceApplyAdagradV2.Options updateSlots (Boolean updateSlots)

public static ResourceApplyAdagradV2.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.