code: def universal_transformer_lstm_base():
      hparams = universal_transformer_base()
      hparams.recurrence_type = "lstm"
      hparams.add_step_timing_signal = (
          False  # Let lstm count in depth for us!
      )
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models import transformer
  from tensor2tensor.models.research import universal_transformer_util
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 29 for calling a global function with example usage: universal_transformer_lstm_base() and returns: hparams