code: def my_very_own_hparams():
      # Start with the base set
      hp = common_hparams.basic_params1()
      # Modify existing hparams
      hp.num_hidden_layers = 2
      # Add new hparams
      hp.add_hparam("filter_size", 2048)
      return hp
  
file_path: tensor2tensor/tensor2tensor/test_data/example_usr_dir/my_submodule.py
imports: import re
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.utils import registry
label_desc: Use image node_id 1 for calling a global function with example usage: my_very_own_hparams() and returns: hp