class_docstr: Most tests done in the base class LinearOperatorDerivedClassTest.
code: def test_tape_safe(self):
      col = variables_module.Variable([1.0])
      row = variables_module.Variable([1.0])
      operator = linear_operator_toeplitz.LinearOperatorToeplitz(
          col, row, is_self_adjoint=True, is_positive_definite=True
      )
      self.check_tape_safe(
          operator,
          skip_options=[
              # .diag_part, .trace depend only on `col`, so test explicitly below.
              linear_operator_test_util.CheckTapeSafeSkipOptions.DIAG_PART,
              linear_operator_test_util.CheckTapeSafeSkipOptions.TRACE,
          ],
      )
  
      with backprop.GradientTape() as tape:
          self.assertIsNotNone(tape.gradient(operator.diag_part(), col))
  
      with backprop.GradientTape() as tape:
          self.assertIsNotNone(tape.gradient(operator.trace(), col))
  
imports: import contextlib
  import numpy
  import scipy.linalg
  from tensorflow.python.eager import backprop
  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.ops.linalg import linear_operator_toeplitz
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the LinearOperatorToeplitzTest obj's underlying member method code with example usage: obj.test_tape_safe() without return types