code: def testScanMultipleAccumulators(self):
      with ops.device(
          "/GPU:0" if test.is_gpu_available() else "/CPU:0"
      ):
  
          def fn(accum, elem):
              accum_a, accum_b = accum
              return accum_a + elem, accum_b * elem
  
          out = ctc_ops._scan(
              fn,
              constant_op.constant([1.0, 2.0, 3.0]),
              (23.0, constant_op.constant([1.0, 2.0])),
          )
          a, b = out
          self.assertAllEqual([24.0, 26.0, 29.0], a)
          self.assertAllEqual([[1.0, 2.0], [2.0, 4.0], [6.0, 12.0]], b)
  
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 21 for calling the CTCLossTestV2 obj's underlying member method code with example usage: obj.testScanMultipleAccumulators() and returns: unknown,  unknown