tensorflow::ops::ResourceApplyAdam
#include <training_ops.h>
Update '*var' according to the Adam algorithm.
Summary
lrt:=learningrate∗1−t/(1−t)
mt:=∗mt−1+(1−)∗g
vt:=∗vt−1+(1−)∗g∗g
variable:=variable−lrt∗mt/(vt+)
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:
- 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)
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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, const ResourceApplyAdam::Attrs & attrs)
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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
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 )