tensorflow::
ops::
ResourceApplyAdam
#include <training_ops.h>
Update '*var' according to the Adam algorithm.
Summary
$${lr}_t := {learning_rate} * {1 - ^t} / (1 - ^t)$$
$$m_t := * m_{t-1} + (1 - ) * g$$
$$v_t := * v_{t-1} + (1 - ) * g * g$$
$${variable} := {variable} - {lr}_t * m_t / ({v_t} + )$$
Args:
- 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:
-
the created
Operation
Constructors and Destructors |
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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 |
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operation
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Public functions |
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operator::tensorflow::Operation
() const
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Public static functions |
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UseLocking
(bool x)
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UseNesterov
(bool x)
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Structs |
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tensorflow::
|
Optional attribute setters for ResourceApplyAdam . |
Public attributes
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