code: def ensure_compatible_hparams(
      hparams, default_hparams, hparams_path=""
  ):
      """Make sure the loaded hparams is compatible with new changes."""
      default_hparams = utils.maybe_parse_standard_hparams(
          default_hparams, hparams_path
      )
  
      # Set num encoder/decoder layers (for old checkpoints)
      if hasattr(hparams, "num_layers"):
          if not hasattr(hparams, "num_encoder_layers"):
              hparams.add_hparam(
                  "num_encoder_layers", hparams.num_layers
              )
          if not hasattr(hparams, "num_decoder_layers"):
              hparams.add_hparam(
                  "num_decoder_layers", hparams.num_layers
              )
  
      # For compatible reason, if there are new fields in default_hparams,
      #   we add them to the current hparams
      default_config = default_hparams.values()
      config = hparams.values()
      for key in default_config:
          if key not in config:
              hparams.add_hparam(key, default_config[key])
  
      # Update all hparams' keys if override_loaded_hparams=True
      if getattr(default_hparams, "override_loaded_hparams", None):
          overwritten_keys = default_config.keys()
      else:
          # For inference
          overwritten_keys = INFERENCE_KEYS
  
      for key in overwritten_keys:
          if getattr(hparams, key) != default_config[key]:
              utils.print_out(
                  "# Updating hparams.%s: %s -> %s"
                  % (
                      key,
                      str(getattr(hparams, key)),
                      str(default_config[key]),
                  )
              )
              setattr(hparams, key, default_config[key])
      return hparams
  
imports: from __future__ import print_function
  import argparse
  import os
  import random
  import sys
  import numpy
  import tensorflow
  from nlp_architect.utils import io
  from .None import inference
  from .None import train
  from .gnmt.utils import misc_utils, vocab_utils, evaluation_utils
label_desc: Use image node_id 10 for calling a global function with example usage: ensure_compatible_hparams(hparams, default_hparams, hparams_path) and returns: hparams