code: def adaptive_universal_transformer_tall_actlossw0():
      hparams = universal_transformer_small()
      hparams.recurrence_type = "act"
      hparams.num_hidden_layers = 16
      hparams.batch_size = 1024
      hparams.act_max_steps = 24
      hparams.act_loss_weight = 0.0
      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 22 for calling a global function with example usage: adaptive_universal_transformer_tall_actlossw0() and returns: hparams