code: def lstm_seq2seq():
      """hparams for LSTM."""
      hparams = common_hparams.basic_params1()
      hparams.daisy_chain_variables = False
      hparams.batch_size = 1024
      hparams.hidden_size = 128
      hparams.num_hidden_layers = 2
      hparams.initializer = "uniform_unit_scaling"
      hparams.initializer_gain = 1.0
      hparams.weight_decay = 0.0
      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 9 for calling a global function with example usage: lstm_seq2seq() and returns: hparams