Method assign

tensorflow/python/ops/variables.py:774–790

Assigns a new value to the variable. This is essentially a shortcut for `assign(self, value)`. Args: value: A `Tensor`. The new value for this variable. use_locking: If `True`, use locking during the assignment. name: The name of the operation to be created read_val

(self, value, use_locking=False, name=None, read_value=True)

    raise NotImplementedError

  def assign(self, value, use_locking=False, name=None, read_value=True):
    """Assigns a new value to the variable.

    This is essentially a shortcut for `assign(self, value)`.

    Args:
      value: A `Tensor`. The new value for this variable.
      use_locking: If `True`, use locking during the assignment.
      name: The name of the operation to be created
      read_value: if True, will return something which evaluates to the new
        value of the variable; if False will return the assign op.

    Returns:
      A `Tensor` that will hold the new value of this variable after
      the assignment has completed.
    """
    raise NotImplementedError

  def assign_add(self, delta, use_locking=False, name=None, read_value=True):
    """Adds a value to this variable.