tensorflow::
ops::
ResourceApplyAddSign
#include <training_ops.h>
Update '*var' according to the AddSign update.
Summary
m_t <- beta1 * m_{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) *sign(m)) * g variable <- variable - lr_t * update
Args:
- scope: A Scope object
- var: Should be from a Variable().
- m: Should be from a Variable().
- lr: Scaling factor. Must be a scalar.
- alpha: Must be a scalar.
- sign_decay: Must be a scalar.
- beta: Must be a scalar.
- grad: The gradient.
Optional attributes (see
Attrs
):
-
use_locking: If
True
, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
Returns:
-
the created
Operation
Constructors and Destructors |
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ResourceApplyAddSign
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
m, ::
tensorflow::Input
lr, ::
tensorflow::Input
alpha, ::
tensorflow::Input
sign_decay, ::
tensorflow::Input
beta, ::
tensorflow::Input
grad)
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|
ResourceApplyAddSign
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
m, ::
tensorflow::Input
lr, ::
tensorflow::Input
alpha, ::
tensorflow::Input
sign_decay, ::
tensorflow::Input
beta, ::
tensorflow::Input
grad, const
ResourceApplyAddSign::Attrs
& attrs)
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Public attributes |
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operation
|
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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Structs |
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tensorflow::
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Optional attribute setters for ResourceApplyAddSign . |
Public attributes
Public functions
ResourceApplyAddSign
ResourceApplyAddSign( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input lr, ::tensorflow::Input alpha, ::tensorflow::Input sign_decay, ::tensorflow::Input beta, ::tensorflow::Input grad )
ResourceApplyAddSign
ResourceApplyAddSign( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input lr, ::tensorflow::Input alpha, ::tensorflow::Input sign_decay, ::tensorflow::Input beta, ::tensorflow::Input grad, const ResourceApplyAddSign::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const