tensorflow::ops::ResourceApplyAdam

#include <training_ops.h>

Update '*var' according to the Adam algorithm.

Summary

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

Arguments:

  • scope: A Scope object
  • var: Should be from a Variable().
  • m: Should be from a Variable().
  • v: Should be from a Variable().
  • 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.
  • use_nesterov: If True, uses the nesterov update.

Returns:

Constructors and Destructors
ResourceApplyAdam(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad)
ResourceApplyAdam(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad, const ResourceApplyAdam::Attrs & attrs)

Public attributes
operation

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

Public static functions
UseLocking(bool x)
UseNesterov(bool x)

Structs
tensorflow::ops::ResourceApplyAdam::Attrs

Optional attribute setters for ResourceApplyAdam.

Public attributes

operation

Operation operation

Public functions

ResourceApplyAdam

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

ResourceApplyAdam

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

operator::tensorflow::Operation

 operator::tensorflow::Operation() const

Public static functions

UseLocking

Attrs UseLocking(
  bool x
)

UseNesterov

Attrs UseNesterov(
  bool x
)