code: def test_zero_length_target(etype):
      args = make_arg(etype=etype)
      ch_model = ch_asr.E2E(10, 5, args)
      ch_model.cleargrads()
      th_model = th_asr.E2E(10, 5, args)
  
      ch_batch = prepare_inputs("chainer", olens=[4, 0])
      th_batch = prepare_inputs("pytorch", olens=[4, 0])
  
      ch_model(*ch_batch)
      th_model(*th_batch)
  
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 15 for calling a global function with example usage: test_zero_length_target(etype) without return types