tensorflow::
ops::
ResourceApplyAdagradDA
#include <training_ops.h>
Update '*var' according to the proximal adagrad scheme.
Summary
Args:
- scope: A Scope object
- var: Should be from a Variable().
- gradient_accumulator: Should be from a Variable().
- gradient_squared_accumulator: Should be from a Variable().
- grad: The gradient.
- lr: Scaling factor. Must be a scalar.
- l1: L1 regularization. Must be a scalar.
- l2: L2 regularization. Must be a scalar.
- global_step: Training step number. 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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ResourceApplyAdagradDA
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
gradient_accumulator, ::
tensorflow::Input
gradient_squared_accumulator, ::
tensorflow::Input
grad, ::
tensorflow::Input
lr, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
global_step)
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ResourceApplyAdagradDA
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
var, ::
tensorflow::Input
gradient_accumulator, ::
tensorflow::Input
gradient_squared_accumulator, ::
tensorflow::Input
grad, ::
tensorflow::Input
lr, ::
tensorflow::Input
l1, ::
tensorflow::Input
l2, ::
tensorflow::Input
global_step, const
ResourceApplyAdagradDA::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::
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Optional attribute setters for ResourceApplyAdagradDA . |
Public attributes
Public functions
ResourceApplyAdagradDA
ResourceApplyAdagradDA( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input gradient_accumulator, ::tensorflow::Input gradient_squared_accumulator, ::tensorflow::Input grad, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input global_step )
ResourceApplyAdagradDA
ResourceApplyAdagradDA( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input gradient_accumulator, ::tensorflow::Input gradient_squared_accumulator, ::tensorflow::Input grad, ::tensorflow::Input lr, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input global_step, const ResourceApplyAdagradDA::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const