tensorflow:: ops:: ResourceApplyAdamWithAmsgrad
#include <training_ops.h>
Update '*var' according to the Adam algorithm.
Summary
$$\text{lr}_t := \mathrm{learning_rate} * \sqrt{1 - \beta_2^t} / (1 - \beta_1^t)$$ $$m_t := \beta_1 * m_{t-1} + (1 - \beta_1) * g$$ $$v_t := \beta_2 * v_{t-1} + (1 - \beta_2) * g * g$$ $$\hat{v}_t := max{\hat{v}_{t-1}, v_t}$$ $$\text{variable} := \text{variable} - \text{lr}_t * m_t / (\sqrt{\hat{v}_t} + \epsilon)$$
Args:
- scope: A Scope object
- var: Should be from a Variable().
- m: Should be from a Variable().
- v: Should be from a Variable().
- vhat: 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.
Returns:
- the created
Operation
Constructors and Destructors |
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ResourceApplyAdamWithAmsgrad(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input vhat, ::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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ResourceApplyAdamWithAmsgrad(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input vhat, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad, const ResourceApplyAdamWithAmsgrad::Attrs & attrs)
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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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Structs |
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tensorflow:: |
Optional attribute setters for ResourceApplyAdamWithAmsgrad. |
Public attributes
operation
Operation operation
Public functions
ResourceApplyAdamWithAmsgrad
ResourceApplyAdamWithAmsgrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input vhat, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad )
ResourceApplyAdamWithAmsgrad
ResourceApplyAdamWithAmsgrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input vhat, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad, const ResourceApplyAdamWithAmsgrad::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const
Public static functions
UseLocking
Attrs UseLocking( bool x )