code: def check_tensorboard(hparams):
      """Checks whether Tensorboard is enabled and initializes the logger if it is
  
      Arguments
      ---------
      hparams: dict
          the hyperparameter dictionary
      """
      if hparams["use_tensorboard"]:
          try:
              from speechbrain.utils.train_logger import (
                  TensorboardLogger,
              )
  
              hparams["tensorboard_train_logger"] = TensorboardLogger(
                  hparams["tensorboard_logs"]
              )
          except ImportError:
              logger.warning(
                  "Could not enable TensorBoard logging - TensorBoard is not available"
              )
              hparams["use_tensorboard"] = False
  
imports: from speechbrain.dataio.dataset import FilteredSortedDynamicItemDataset, DynamicItemDataset
  from speechbrain.dataio.sampler import BalancingDataSampler
  from speechbrain.utils.data_utils import undo_padding
  import datasets
  import logging
  import os
  import random
  import speechbrain
  import sys
  from enum import Enum
  from collections import namedtuple
  from hyperpyyaml import load_hyperpyyaml
  from functools import partial
  from speechbrain.utils.distributed import run_on_main
  from speechbrain.utils.pretrained import save_for_pretrained
  from speechbrain.lobes.models.g2p.dataio import enable_eos_bos, grapheme_pipeline, phoneme_pipeline, tokenizer_encode_pipeline, add_bos_eos, get_sequence_key, phonemes_to_label
  from speechbrain.dataio.wer import print_alignments
  from speechbrain.wordemb.util import expand_to_chars
  from io import StringIO
  from speechbrain.utils import hpopt
  import numpy
label_desc: Use image node_id 8 for calling a global function with example usage: check_tensorboard(hparams) without return types