tensorflow:: ops:: ResourceApplyGradientDescent
  #include <training_ops.h>
  Update '*var' by subtracting 'alpha' * 'delta' from it.
Summary
Arguments:
- scope: A Scope object
 - var: Should be from a Variable().
 - alpha: Scaling factor. Must be a scalar.
 - delta: The change.
 
Optional attributes (see Attrs):
- use_locking: If 
True, the subtraction 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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        ResourceApplyGradientDescent(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input alpha, ::tensorflow::Input delta)
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        ResourceApplyGradientDescent(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input alpha, ::tensorflow::Input delta, const ResourceApplyGradientDescent::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 ResourceApplyGradientDescent.  | 
    
Public attributes
operation
Operation operation
Public functions
ResourceApplyGradientDescent
ResourceApplyGradientDescent( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input alpha, ::tensorflow::Input delta )
ResourceApplyGradientDescent
ResourceApplyGradientDescent( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input alpha, ::tensorflow::Input delta, const ResourceApplyGradientDescent::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const
Public static functions
UseLocking
Attrs UseLocking( bool x )