class_docstr: Abstract base class to add two operators.
  
  Each `Adder` acts independently, adding everything it can, paying no attention
  as to whether another `Adder` could have done the addition more efficiently.
docstr: Returns `True` if this `Adder` can add `op1` and `op2`.  Else `False`.
code: def can_add(self, op1, op2):
      """Returns `True` if this `Adder` can add `op1` and `op2`.  Else `False`."""
      pass
  
imports: import abc
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops.linalg import linear_operator
  from tensorflow.python.ops.linalg import linear_operator_diag
  from tensorflow.python.ops.linalg import linear_operator_full_matrix
  from tensorflow.python.ops.linalg import linear_operator_identity
  from tensorflow.python.ops.linalg import linear_operator_lower_triangular
label_desc: Use image node_id 2 for calling the _Adder obj's underlying member method code with example usage: obj.can_add(op1, op2) without return types