code: def test_calculate_all_ctc_probs(mtlalpha):
      args = make_arg(mtlalpha=mtlalpha)
      batch = prepare_inputs("pytorch")
      model = th_asr.E2E(10, 5, args)
      ctc_probs = model.calculate_all_ctc_probs(*batch)
      if mtlalpha > 0:
          print(ctc_probs.shape)
      else:
          assert ctc_probs is None
  
imports: from __future__ import division
  import argparse
  import importlib
  import os
  import tempfile
  from test.utils_test import make_dummy_json
  import chainer
  import numpy
  import pytest
  import torch
  import espnet.nets.chainer_backend.e2e_asr
  import espnet.nets.pytorch_backend.e2e_asr
  from espnet.asr import asr_utils
  from espnet.nets.pytorch_backend.nets_utils import pad_list
  from espnet.nets.pytorch_backend.streaming.segment import SegmentStreamingE2E
  from espnet.nets.pytorch_backend.streaming.window import WindowStreamingE2E
  from espnet.utils.training.batchfy import make_batchset
label_desc: Use image node_id 17 for calling a global function with example usage: test_calculate_all_ctc_probs(mtlalpha) without return types