class_docstr: Base test for this type of operator.
code: def test_convert_variables_to_tensors(self):
      base_operator = linalg.LinearOperatorDiag(
          variables_module.Variable([1.0], name="diag"),
          is_positive_definite=True,
          is_self_adjoint=True,
      )
  
      operator = linalg.LinearOperatorLowRankUpdate(
          base_operator,
          u=variables_module.Variable([[2.0]], name="u"),
          v=variables_module.Variable([[1.25]], name="v")
          if self._use_v
          else None,
          diag_update=variables_module.Variable(
              [1.25], name="diag_update"
          )
          if self._use_diag_update
          else None,
          is_diag_update_positive=self._is_diag_update_positive,
      )
      with self.cached_session() as sess:
          sess.run([x.initializer for x in operator.variables])
          self.check_convert_variables_to_tensors(operator)
  
imports: import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the BaseLinearOperatorLowRankUpdatetest obj's underlying member method code with example usage: obj.test_convert_variables_to_tensors() without return types