Method add

tensorflow/python/ops/linalg/linear_operator_addition.py:266–290

Return new `LinearOperator` acting like `op1 + op2`. Args: op1: `LinearOperator` op2: `LinearOperator`, with `shape` and `dtype` such that adding to `op1` is allowed. operator_name: `String` name to give to returned `LinearOperator` hints: `_Hints` object. R

(self, op1, op2, operator_name, hints=None)

    pass

  def add(self, op1, op2, operator_name, hints=None):
    """Return new `LinearOperator` acting like `op1 + op2`.

    Args:
      op1:  `LinearOperator`
      op2:  `LinearOperator`, with `shape` and `dtype` such that adding to
        `op1` is allowed.
      operator_name:  `String` name to give to returned `LinearOperator`
      hints:  `_Hints` object.  Returned `LinearOperator` will be created with
        these hints.

    Returns:
      `LinearOperator`
    """
    updated_hints = _infer_hints_allowing_override(op1, op2, hints)

    if operator_name is None:
      operator_name = "Add/" + op1.name + "__" + op2.name + "/"

    values = op1.graph_parents + op2.graph_parents
    scope_name = self.name
    if scope_name.startswith("_"):
      scope_name = scope_name[1:]
    with ops.name_scope(scope_name, values=values):
      return self._add(op1, op2, operator_name, updated_hints)


class _AddAndReturnScaledIdentity(_Adder):