code: def evolved_transformer_big_tpu():
      """Big parameters for Evolved Transformer model on TPU."""
      hparams = add_evolved_transformer_hparams(
          transformer.transformer_big_tpu()
      )
      hparams.learning_rate_constant = (
          1 / hparams.learning_rate_warmup_steps**0.5
      )
      hparams.learning_rate_schedule = "constant*single_cycle_cos_decay"
      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.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.python.ops import inplace_ops
label_desc: Use image node_id 12 for calling a global function with example usage: evolved_transformer_big_tpu() and returns: hparams