code: def test_invalid_aux_transducer_loss_enc_layers():
      idim, odim, ilens, olens = get_default_scope_inputs()
      train_args = get_default_train_args(use_aux_transducer_loss=True)
  
      with pytest.raises(ValueError):
          E2E(idim, odim, train_args)
  
      train_args = get_default_train_args(
          use_aux_transducer_loss=True,
          aux_transducer_loss_enc_output_layers="foo",
      )
  
      with pytest.raises(ValueError):
          E2E(idim, odim, train_args)
  
      train_args = get_default_train_args(
          use_aux_transducer_loss=True,
          aux_transducer_loss_enc_output_layers=[0, 4],
      )
  
      with pytest.raises(ValueError):
          E2E(idim, odim, train_args)
  
      train_args = get_default_train_args(
          use_aux_transducer_loss=True,
          use_symm_kl_div_loss=True,
          aux_transducer_loss_enc_output_layers=[0],
          elayers=3,
          etype="blstmp",
          subsample="1_2_1",
      )
  
      with pytest.raises(ValueError):
          E2E(idim, odim, train_args)
  
imports: import argparse
  import json
  import tempfile
  import numpy
  import pytest
  import torch
  from packaging.version import parse
  import espnet.lm.pytorch_backend.extlm
  import espnet.nets.pytorch_backend.lm.default
  from espnet.asr.pytorch_backend.asr_init import load_trained_model
  from espnet.nets.beam_search_transducer import BeamSearchTransducer
  from espnet.nets.pytorch_backend.e2e_asr_transducer import E2E
  from espnet.nets.pytorch_backend.nets_utils import pad_list
label_desc: Use image node_id 11 for calling a global function with example usage: test_invalid_aux_transducer_loss_enc_layers() without return types