code: def force_checkpoint_conversion(value=True):
      """Forces checkpoint to use the new implementation.
  
      The new checkpoint implementation is changing the saved metadata slightly,
      and therefore may break forward compatibility in newly saved checkpoints. This
      means:
  
        - Previous versions of TensorFlow may not be able to load new checkpoints.
        - Backwards compatibility is unchanged: Old checkpoints can still be loaded.
  
      TensorFlow guarantees 3 weeks of forward compatibility, so this flag will be
      removed in the future weeks, after which checkpoint conversion will happen by
      default.
  
      **What happens when this flag is enabled?**
  
      The checkpoint will be saved with different metadata, meaning that previous
      versions of TensorFlow (<=2.10) will not be able to load this checkpoint.
  
      Args:
        value: Boolean value, whether or not to force checkpoint conversion to the
          new implementation.
      """
      # TODO(kathywu): Add definite date for flag removal.
      global _FORCE_CHECKPOINT_CONVERSION
      _FORCE_CHECKPOINT_CONVERSION = value
  
label_desc: Use image node_id 3 for calling a global function with example usage: force_checkpoint_conversion(value) without return types