tensorflow::ops::Assign

#include <state_ops.h>

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

Summary

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

Arguments:

Optional attributes (see Attrs):

validate_shape: If true, the operation will validate that the shape of 'value' matches the shape of the Tensor being assigned to. If false, 'ref' will take on the shape of 'value'.
use_locking: If True, the assignment 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 reset.

Constructors and Destructors
`Assign(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input value)`
`Assign(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input value, const Assign::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`
`ValidateShape(bool x)`	`Attrs`

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

Operation operation

::tensorflow::Output output_ref

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

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

::tensorflow::Node * node() const

 operator::tensorflow::Input() const

 operator::tensorflow::Output() const

Attrs UseLocking(
  bool x
)

Attrs ValidateShape(
  bool x
)