class_docstr: "Handles additions resulting in a `LinearOperatorFullMatrix`.
class_docstr_tok: ["``","Handles","additions","resulting","in","a","`","LinearOperatorFullMatrix","`","."]
code: def _add(self, op1, op2, operator_name, hints):
      if _type(op1) in _EFFICIENT_ADD_TO_TENSOR:
          op_add_to_tensor, op_other = op1, op2
      else:
          op_add_to_tensor, op_other = op2, op1
      return linear_operator_full_matrix.LinearOperatorFullMatrix(
          matrix=op_add_to_tensor.add_to_tensor(op_other.to_dense()),
          is_non_singular=hints.is_non_singular,
          is_self_adjoint=hints.is_self_adjoint,
          is_positive_definite=hints.is_positive_definite,
          name=operator_name,
      )
  
imports: import abc
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy.gen import tensor_shape
  from tensorflow_probability.python.internal.backend.numpy import numpy_array
  from tensorflow_probability.python.internal.backend.numpy import debugging
  from tensorflow_probability.python.internal.backend.numpy.gen import linear_operator
  from tensorflow_probability.python.internal.backend.numpy.gen import linear_operator_diag
  from tensorflow_probability.python.internal.backend.numpy.gen import linear_operator_full_matrix
  from tensorflow_probability.python.internal.backend.numpy.gen import linear_operator_identity
  from tensorflow_probability.python.internal.backend.numpy.gen import linear_operator_lower_triangular
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import linalg_impl
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy.gen import tensor_shape
  from tensorflow_probability.python.internal.backend.numpy import private
label_desc: Use image node_id 2 for calling the _AddAndReturnMatrix obj's underlying member method code with example usage: obj._add(op1, op2, operator_name, hints) and returns: linear_operator_full_matrix