code: def test3x3(self):
      for dtype in [dtypes.float32, dtypes.float64]:
          self._testAllFormats(
              [1, 2],
              [1, 2, 1],
              [2, 1],
              [[1, 1], [2, 2], [3, 3]],
              [[3, 3], [12, 12], [5, 5]],
              dtype=dtype,
          )
  
imports: import itertools
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  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 control_flow_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg_impl
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the TridiagonalMulOpTest obj's underlying member method code with example usage: obj.test3x3() without return types