tensorflow::
ops::
SparseApplyAdadelta
#include <training_ops.h>
var: Should be from a Variable().
Summary
Args:
- scope: A Scope object
- accum: Should be from a Variable().
- accum_update: : Should be from a Variable().
- lr: Learning rate. Must be a scalar.
- rho: Decay factor. Must be a scalar.
- epsilon: Constant factor. Must be a scalar.
- grad: The gradient.
- indices: A vector of indices into the first dimension of var and accum.
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:
-
Output
: Same as "var".
Constructors and Destructors |
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SparseApplyAdadelta
(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, ::
tensorflow::Input
indices)
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SparseApplyAdadelta
(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, ::
tensorflow::Input
indices, const
SparseApplyAdadelta::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 *
|
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 SparseApplyAdadelta . |
Public attributes
Public functions
SparseApplyAdadelta
SparseApplyAdadelta( 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, ::tensorflow::Input indices )
SparseApplyAdadelta
SparseApplyAdadelta( 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, ::tensorflow::Input indices, const SparseApplyAdadelta::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const