tensorflow:: ops:: ApplyAdadelta
#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:
Output
: Same as "var".
Constructors and Destructors |
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ApplyAdadelta(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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ApplyAdadelta(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 ApplyAdadelta::Attrs & attrs)
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Public attributes |
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operation
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out
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() 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 ApplyAdadelta. |
Public attributes
operation
Operation operation
out
::tensorflow::Output out
Public functions
ApplyAdadelta
ApplyAdadelta( 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 )
ApplyAdadelta
ApplyAdadelta( 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 ApplyAdadelta::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
UseLocking
Attrs UseLocking( bool x )