tensorflow::ops::ApplyAdam

#include <training_ops.h>

Update '*var' according to the Adam algorithm.

Summary

$$lr_t := {learning_rate} * {1 - beta_2^t} / (1 - beta_1^t)$$

$$m_t := beta_1 * m_{t-1} + (1 - beta_1) * g$$

$$v_t := beta_2 * v_{t-1} + (1 - beta_2) * g * g$$

$$variable := variable - lr_t * m_t / ({v_t} + )$$

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:

Output: Same as "var".

Constructors and Destructors
`ApplyAdam(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)`
`ApplyAdam(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 ApplyAdam::Attrs & attrs)`

Public attributes
`operation`	`Operation`
`out`	`::tensorflow::Output`

Public functions
`node() const`	`::tensorflow::Node *`
`operator::tensorflow::Input() const`
`operator::tensorflow::Output() const`

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

Structs
tensorflow::ops::ApplyAdam::Attrs	Optional attribute setters for ApplyAdam.

Public attributes

operation

Operation operation

out

::tensorflow::Output out

Public functions

ApplyAdam

 ApplyAdam(
  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
)

ApplyAdam

 ApplyAdam(
  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 ApplyAdam::Attrs & attrs
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

operator::tensorflow::Input() const

operator::tensorflow::Output

operator::tensorflow::Output() const

Public static functions

UseLocking

Attrs UseLocking(
  bool x
)

UseNesterov

Attrs UseNesterov(
  bool x
)

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/class/tensorflow/ops/apply-adam