code: def test3x3(self):
      for dtype in [dtypes.float32, dtypes.float64]:
          self._testAllFormats(
              superdiag=[1, 2],
              maindiag=[1, 2, 1],
              subdiag=[2, 1],
              rhs=[[1, 1], [2, 2], [3, 3]],
              dtype=dtype,
          )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops.linalg import linalg_impl
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 7 for calling the TridiagonalMatMulOpsTest obj's underlying member method code with example usage: obj.test3x3() without return types