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)
     
     | 
    |
     
      
       UseNesterov
      
      (bool x)
     
     | 
    |
     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