code: def lstm_asr_v1():
      """Basic LSTM Params."""
      hparams = lstm_bahdanau_attention()
      hparams.num_hidden_layers = 2
      hparams.hidden_size = 256
      hparams.batch_size = 36
      hparams.max_input_seq_length = 600000
      hparams.max_target_seq_length = 350
      hparams.max_length = hparams.max_input_seq_length
      hparams.min_length_bucket = hparams.max_input_seq_length // 2
      hparams.learning_rate = 0.05
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  from tensor2tensor.layers import area_attention
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 16 for calling a global function with example usage: lstm_asr_v1() and returns: hparams