code: def update_tiny(hparams):
      hparams.hidden_size = 256
      hparams.attention_key_channels = 512
      hparams.filter_size = 2048
  
      hparams.batch_size = 9000
      # did not actually adjust number of warmup steps
      # hparams.warmup = 10000
      hparams.learning_rate = 0.1
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
label_desc: Use image node_id 4 for calling a global function with example usage: update_tiny(hparams) and returns: hparams