tensorflow::
    
   ops::
    
   ResourceApplyFtrlV2
  
  
   #include <training_ops.h>
  
  Update '*var' according to the Ftrl-proximal scheme.
Summary
accum_new = accum + grad * grad grad_with_shrinkage = grad + 2 * l2_shrinkage * var linear += grad_with_shrinkage + (accum_new^(-lr_power) - accum^(-lr_power)) / lr * var quadratic = 1.0 / (accum_new^(lr_power) * lr) + 2 * l2 var = (sign(linear) * l1 - linear) / quadratic if |linear| > l1 else 0.0 accum = accum_new
Args:
- scope: A Scope object
 - var: Should be from a Variable().
 - accum: Should be from a Variable().
 - linear: Should be from a Variable().
 - grad: The gradient.
 - lr: Scaling factor. Must be a scalar.
 - l1: L1 regularization. Must be a scalar.
 - l2: L2 shrinkage regularization. Must be a scalar.
 - lr_power: Scaling factor. Must be a scalar.
 
   Optional attributes (see
   
    
     Attrs
    
   
   ):
   
- 
     use_locking: If
     
True, updating of the var and accum 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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       ResourceApplyFtrlV2
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      var, ::
      
       tensorflow::Input
      
      accum, ::
      
       tensorflow::Input
      
      linear, ::
      
       tensorflow::Input
      
      grad, ::
      
       tensorflow::Input
      
      lr, ::
      
       tensorflow::Input
      
      l1, ::
      
       tensorflow::Input
      
      l2, ::
      
       tensorflow::Input
      
      l2_shrinkage, ::
      
       tensorflow::Input
      
      lr_power)
     
      | 
   |
     
      
       ResourceApplyFtrlV2
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      var, ::
      
       tensorflow::Input
      
      accum, ::
      
       tensorflow::Input
      
      linear, ::
      
       tensorflow::Input
      
      grad, ::
      
       tensorflow::Input
      
      lr, ::
      
       tensorflow::Input
      
      l1, ::
      
       tensorflow::Input
      
      l2, ::
      
       tensorflow::Input
      
      l2_shrinkage, ::
      
       tensorflow::Input
      
      lr_power, const
      
       ResourceApplyFtrlV2::Attrs
      
      & attrs)
     
      | 
   
     Public attributes | 
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|---|---|
     
      
       operation
      
     
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     Public functions | 
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|---|---|
     
      
       operator::tensorflow::Operation
      
      () const
     
     | 
    
     
      
      | 
   
     Public static functions | 
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|---|---|
     
      
       MultiplyLinearByLr
      
      (bool x)
     
     | 
    |
     
      
       UseLocking
      
      (bool x)
     
     | 
    |
     Structs | 
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|---|---|
| 
     
      tensorflow::
       | 
    
      Optional attribute setters for ResourceApplyFtrlV2 .  | 
   
Public attributes
Public functions
ResourceApplyFtrlV2
ResourceApplyFtrlV2( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input linear, ::tensorflow::Input grad, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input l2_shrinkage, ::tensorflow::Input lr_power )
ResourceApplyFtrlV2
ResourceApplyFtrlV2( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input linear, ::tensorflow::Input grad, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input l2_shrinkage, ::tensorflow::Input lr_power, const ResourceApplyFtrlV2::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const