tensorflow::ops::ResourceApplyAdamWithAmsgrad

#include <training_ops.h>

Update '*var' according to the Adam algorithm.

Summary

$${lr}_t := {learning_rate} * {1 - ^t} / (1 - ^t)$$

$$m_t := * m_{t-1} + (1 - ) * g$$

$$v_t := * v_{t-1} + (1 - ) * g * g$$

$${v}_t := max{ {v}_{t-1}, v_t}$$

$${variable} := {variable} - {lr}_t * m_t / ({ {v}_t} + )$$

Arguments:

• 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:

• the created Operation

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	Operation

Public functions
operator::tensorflow::Operation() const

Public static functions
UseLocking(bool x)	Attrs

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
)