class_docstr: Most tests done in the base class LinearOperatorDerivedClassTest.
class_docstr_tok: ["Most","tests","done","in","the","base","class","LinearOperatorDerivedClassTest","."]
code: def test_convert_variables_to_tensors(self):
      matrix_1 = variables_module.Variable([[1.0, 0.0], [0.0, 1.0]])
      matrix_2 = variables_module.Variable([[2.0, 0.0], [0.0, 2.0]])
      operator = kronecker.LinearOperatorKronecker(
          [
              linalg.LinearOperatorFullMatrix(
                  matrix_1, is_non_singular=True
              ),
              linalg.LinearOperatorFullMatrix(
                  matrix_2, is_non_singular=True
              ),
          ],
          is_non_singular=True,
      )
      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.eager import backprop
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_kronecker
  from tensorflow.python.ops.linalg import linear_operator_lower_triangular
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.ops.linalg import linear_operator_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the SquareLinearOperatorKroneckerTest obj's underlying member method code with example usage: obj.test_convert_variables_to_tensors() without return types