ResourceApplyAdam

public final class ResourceApplyAdam

Update '*var' according to the Adam algorithm.

$$\text{lr}_t := \mathrm{learning_rate} * \sqrt{1 - \beta_2^t} / (1 - \beta_1^t)$$ $$m_t := \beta_1 * m_{t-1} + (1 - \beta_1) * g$$ $$v_t := \beta_2 * v_{t-1} + (1 - \beta_2) * g * g$$ $$\text{variable} := \text{variable} - \text{lr}_t * m_t / (\sqrt{v_t} + \epsilon)$$

Nested Classes

class ResourceApplyAdam.Options Optional attributes for ResourceApplyAdam  

Constants

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

Public Methods

static <T extends TType> ResourceApplyAdam
create(Scope scope, Operand<?> var, Operand<?> m, Operand<?> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, Options... options)
Factory method to create a class wrapping a new ResourceApplyAdam operation.
static ResourceApplyAdam.Options
useLocking(Boolean useLocking)
static ResourceApplyAdam.Options
useNesterov(Boolean useNesterov)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "ResourceApplyAdam"

Public Methods

public static ResourceApplyAdam create (Scope scope, Operand<?> var, Operand<?> m, Operand<?> v, Operand<T> beta1Power, Operand<T> beta2Power, Operand<T> lr, Operand<T> beta1, Operand<T> beta2, Operand<T> epsilon, Operand<T> grad, Options... options)

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

Parameters
scope current scope
var Should be from a Variable().
m Should be from a Variable().
v Should be from a Variable().
beta1Power Must be a scalar.
beta2Power Must be a scalar.
lr Scaling factor. Must be a scalar.
beta1 Momentum factor. Must be a scalar.
beta2 Momentum factor. Must be a scalar.
epsilon Ridge term. Must be a scalar.
grad The gradient.
options carries optional attributes values
Returns
  • a new instance of ResourceApplyAdam

public static ResourceApplyAdam.Options useLocking (Boolean useLocking)

Parameters
useLocking If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

public static ResourceApplyAdam.Options useNesterov (Boolean useNesterov)

Parameters
useNesterov If `True`, uses the nesterov update.