tensorflow::
#include <training_ops.h>
Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
Summary
That is for rows we have grad for, we update var and accum as follows: accum += grad * grad var -= lr * grad * (1 / sqrt(accum))
Args:
- scope: A Scope object
- var: Should be from a Variable().
- accum: Should be from a Variable().
- lr: Learning rate. 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:
- the created Operation
| Constructors and Destructors | |
|---|---|
| ResourceSparseApplyAdagrad(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input grad, ::tensorflow::Input indices) | |
| ResourceSparseApplyAdagrad(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input grad, ::tensorflow::Input indices, const ResourceSparseApplyAdagrad::Attrs & attrs) | 
| Public attributes | |
|---|---|
| operation | |
| Public functions | |
|---|---|
| operator::tensorflow::Operation() const  |  | 
| Public static functions | |
|---|---|
| UpdateSlots(bool x) | |
| UseLocking(bool x) | |
| Structs | |
|---|---|
| tensorflow:: | Optional attribute setters for ResourceSparseApplyAdagrad. | 
Public attributes
operation
Operation operation
Public functions
ResourceSparseApplyAdagrad
ResourceSparseApplyAdagrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input grad, ::tensorflow::Input indices )
ResourceSparseApplyAdagrad
ResourceSparseApplyAdagrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input accum, ::tensorflow::Input lr, ::tensorflow::Input grad, ::tensorflow::Input indices, const ResourceSparseApplyAdagrad::Attrs & attrs )
operator::tensorflow::Operation
operator::tensorflow::Operation() const
Public static functions
UpdateSlots
Attrs UpdateSlots( bool x )
UseLocking
Attrs UseLocking( bool x )