parameters: (ref, value, validate_shape=None, use_locking=None, name=None)
return_statement: return ref.assign(value)
docstring: Update 'ref' by assigning 'value' to it.
  
    This operation outputs a Tensor that holds the new value of 'ref' after
      the value has been assigned. This makes it easier to chain operations
      that need to use the reset value.
  
    Args:
      ref: A mutable `Tensor`.
        Should be from a `Variable` node. May be uninitialized.
      value: A `Tensor`. Must have the same type as `ref`.
        The value to be assigned to the variable.
      validate_shape: An optional `bool`. Defaults to `True`.
        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: An optional `bool`. Defaults to `True`.
        If True, the assignment will be protected by a lock;
        otherwise the behavior is undefined, but may exhibit less contention.
      name: A name for the operation (optional).
  
    Returns:
      A `Tensor` that will hold the new value of 'ref' after
        the assignment has completed.
docstring_summary: Update 'ref' by assigning 'value' to it.
docstring_tokens: Update ref by assigning value to it .
function: def assign(ref, value, validate_shape=None, use_locking=None, name=None):
    """Update 'ref' by assigning 'value' to it.
  
    This operation outputs a Tensor that holds the new value of 'ref' after
      the value has been assigned. This makes it easier to chain operations
      that need to use the reset value.
  
    Args:
      ref: A mutable `Tensor`.
        Should be from a `Variable` node. May be uninitialized.
      value: A `Tensor`. Must have the same type as `ref`.
        The value to be assigned to the variable.
      validate_shape: An optional `bool`. Defaults to `True`.
        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: An optional `bool`. Defaults to `True`.
        If True, the assignment will be protected by a lock;
        otherwise the behavior is undefined, but may exhibit less contention.
      name: A name for the operation (optional).
  
    Returns:
      A `Tensor` that will hold the new value of 'ref' after
        the assignment has completed.
    """
    if ref.dtype._is_ref_dtype:
      return gen_state_ops.assign(
          ref, value, use_locking=use_locking, name=name,
          validate_shape=validate_shape)
    return ref.assign(value)
function_tokens: def assign ( ref , value , validate_shape = None , use_locking = None , name = None ) : if ref . dtype . _is_ref_dtype : return gen_state_ops . assign ( ref , value , use_locking = use_locking , name = name , validate_shape = validate_shape ) return ref . assign ( value )