tensorflow:: ops:: AssignAdd


   #include <state_ops.h>

Update 'ref' by adding 'value' to it.

Summary

This operation outputs "ref" after the update is done. This makes it easier to chain operations that need to use the reset value.

Args:

Optional attributes (see Attrs ):

use_locking: If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Returns:

Output : = Same as "ref". Returned as a convenience for operations that want to use the new value after the variable has been updated.

Constructors and Destructors
`AssignAdd (const :: tensorflow::Scope & scope, :: tensorflow::Input ref, :: tensorflow::Input value)`
`AssignAdd (const :: tensorflow::Scope & scope, :: tensorflow::Input ref, :: tensorflow::Input value, const AssignAdd::Attrs & attrs)`

Public attributes
`operation`	`Operation`
`output_ref`	`:: tensorflow::Output`

Public functions
`node () const`	`::tensorflow::Node *`
`operator::tensorflow::Input () const`
`operator::tensorflow::Output () const`

Public static functions
`UseLocking (bool x)`	`Attrs`

Structs
tensorflow:: ops:: AssignAdd:: Attrs	Optional attribute setters for AssignAdd .

Operation operation

::tensorflow::Output output_ref

 AssignAdd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input ref,
  ::tensorflow::Input value
)

 AssignAdd(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input ref,
  ::tensorflow::Input value,
  const AssignAdd::Attrs & attrs
)

::tensorflow::Node * node() const

 operator::tensorflow::Input() const

 operator::tensorflow::Output() const

Attrs UseLocking(
  bool x
)