code: def rnn_impl_static_rnn(x, seq_length, previous_state, reuse):
      with tfv1.variable_scope("cudnn_lstm/rnn/multi_rnn_cell"):
          # Forward direction cell:
          fw_cell = tfv1.nn.rnn_cell.LSTMCell(
              Config.n_cell_dim,
              forget_bias=0,
              reuse=reuse,
              name="cudnn_compatible_lstm_cell",
          )
  
          # Split rank N tensor into list of rank N-1 tensors
          x = [x[l] for l in range(x.shape[0])]
  
          output, output_state = tfv1.nn.static_rnn(
              cell=fw_cell,
              inputs=x,
              sequence_length=seq_length,
              initial_state=previous_state,
              dtype=tf.float32,
              scope="cell_0",
          )
  
          output = tf.concat(output, 0)
  
      return output, output_state
  
imports: from __future__ import absolute_import, division, print_function
  import os
  import sys
  import absl.app
  import numpy
  import progressbar
  import shutil
  import tensorflow
  import tensorflow.compat.v1
  import time
  from datetime import datetime
  from ds_ctcdecoder import ctc_beam_search_decoder, Scorer
  from .evaluate import evaluate
  from six.moves import zip, range
  from .util.config import Config, initialize_globals
  from .util.checkpoints import load_or_init_graph_for_training, load_graph_for_evaluation, reload_best_checkpoint
  from .util.evaluate_tools import save_samples_json
  from .util.feeding import create_dataset, audio_to_features, audiofile_to_features
  from .util.flags import create_flags, FLAGS
  from .util.helpers import check_ctcdecoder_version, ExceptionBox
  from .util.logging import create_progressbar, log_debug, log_error, log_info, log_progress, log_warn
  from .util.io import open_remote, remove_remote, listdir_remote, is_remote_path, isdir_remote
label_desc: Use image node_id 6 for calling a global function with example usage: rnn_impl_static_rnn(x, seq_length, previous_state, reuse) and returns: output,  output_state