tensorflow:: ops:: ResourceApplyAdadelta
#include <training_ops.h>
Update '*var' according to the adadelta scheme.
Summary
accum = rho() * accum + (1 - rho()) * grad.square(); update = (update_accum + epsilon).sqrt() * (accum + epsilon()).rsqrt() * grad; update_accum = rho() * update_accum + (1 - rho()) * update.square(); var -= update;
Args:
- scope: A Scope object
 - var: Should be from a Variable().
 - accum: Should be from a Variable().
 - accum_update: Should be from a Variable().
 - lr: Scaling factor. Must be a scalar.
 - rho: Decay factor. Must be a scalar.
 - epsilon: Constant factor. Must be a scalar.
 - grad: The gradient.
 
Optional attributes (see Attrs):
- use_locking: If True, updating of the var, accum and update_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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ResourceApplyAdadelta(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input accum_update, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input epsilon, ::tensorflow::Input grad)
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ResourceApplyAdadelta(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input accum_update, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input epsilon, ::tensorflow::Input grad, const ResourceApplyAdadelta::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 ResourceApplyAdadelta.  | 
Public attributes
operation
Operation operation
Public functions
ResourceApplyAdadelta
ResourceApplyAdadelta( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input accum_update, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input epsilon, ::tensorflow::Input grad )
ResourceApplyAdadelta
ResourceApplyAdadelta( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input accum_update, ::tensorflow::Input lr, ::tensorflow::Input rho, ::tensorflow::Input epsilon, ::tensorflow::Input grad, const ResourceApplyAdadelta::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const
Public static functions
UseLocking
Attrs UseLocking( bool x )