code: def testScanMultipleElements(self):
      with ops.device(
          "/GPU:0" if test.is_gpu_available() else "/CPU:0"
      ):
  
          def fn(accum, elem):
              elem_a, elem_b = elem
              return accum + (elem_a * elem_b)
  
          elems_a = constant_op.constant([1.0, 2.0, 3.0])
          elems_b = constant_op.constant(
              [[1.0, 2.0], [2.0, 3.0], [3.0, 4.0]]
          )
          out = ctc_ops._scan(
              fn,
              (elems_a, elems_b),
              initial=constant_op.constant([0.0, 0.0]),
          )
          self.assertAllEqual(
              [[1.0, 2.0], [5.0, 8.0], [14.0, 20.0]], out
          )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  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 errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import ctc_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 22 for calling the CTCLossTestV2 obj's underlying member method code with example usage: obj.testScanMultipleElements() and returns: unknown