tensorflow:: ops:: ResourceApplyAdamWithAmsgrad

#include <training_ops.h>

Update '*var' according to the Adam algorithm.

Summary

$${lr}_t := {learning_rate} * {1 - ^t} / (1 - ^t)$$
$$m_t := * m_{t-1} + (1 - ) * g$$
$$v_t := * v_{t-1} + (1 - ) * g * g$$
$${v}_t := max{ {v}_{t-1}, v_t}$$
$${variable} := {variable} - {lr}_t * m_t / ({ {v}_t} + )$$

Args:

  • scope: A Scope object
  • var: Should be from a Variable().
  • m: Should be from a Variable().
  • v: Should be from a Variable().
  • vhat: Should be from a Variable().
  • beta1_power: Must be a scalar.
  • beta2_power: 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.

Optional attributes (see Attrs ):

  • use_locking: 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.

Returns:

Constructors and Destructors

ResourceApplyAdamWithAmsgrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input v, :: tensorflow::Input vhat, :: tensorflow::Input beta1_power, :: tensorflow::Input beta2_power, :: tensorflow::Input lr, :: tensorflow::Input beta1, :: tensorflow::Input beta2, :: tensorflow::Input epsilon, :: tensorflow::Input grad)
ResourceApplyAdamWithAmsgrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input v, :: tensorflow::Input vhat, :: tensorflow::Input beta1_power, :: tensorflow::Input beta2_power, :: tensorflow::Input lr, :: tensorflow::Input beta1, :: tensorflow::Input beta2, :: tensorflow::Input epsilon, :: tensorflow::Input grad, const ResourceApplyAdamWithAmsgrad::Attrs & attrs)

Public attributes

operation

Public functions

operator::tensorflow::Operation () const

Public static functions

UseLocking (bool x)

Structs

tensorflow:: ops:: ResourceApplyAdamWithAmsgrad:: Attrs

Optional attribute setters for ResourceApplyAdamWithAmsgrad .

Public attributes

operation 

Operation operation

Public functions

ResourceApplyAdamWithAmsgrad 

 ResourceApplyAdamWithAmsgrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input m,
  ::tensorflow::Input v,
  ::tensorflow::Input vhat,
  ::tensorflow::Input beta1_power,
  ::tensorflow::Input beta2_power,
  ::tensorflow::Input lr,
  ::tensorflow::Input beta1,
  ::tensorflow::Input beta2,
  ::tensorflow::Input epsilon,
  ::tensorflow::Input grad
)

ResourceApplyAdamWithAmsgrad 

 ResourceApplyAdamWithAmsgrad(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input m,
  ::tensorflow::Input v,
  ::tensorflow::Input vhat,
  ::tensorflow::Input beta1_power,
  ::tensorflow::Input beta2_power,
  ::tensorflow::Input lr,
  ::tensorflow::Input beta1,
  ::tensorflow::Input beta2,
  ::tensorflow::Input epsilon,
  ::tensorflow::Input grad,
  const ResourceApplyAdamWithAmsgrad::Attrs & attrs
)

operator::tensorflow::Operation 

 operator::tensorflow::Operation() const

Public static functions

UseLocking 

Attrs UseLocking(
  bool x
)