()
Get the training dir or checkpoint path to be used by the model.
Get the training dir or checkpoint path to be used by the model.
Get the training dir or checkpoint path to be used by the model .
def get_checkpoint():
  """Get the training dir or checkpoint path to be used by the model."""
  if FLAGS.run_dir and FLAGS.bundle_file and not FLAGS.save_generator_bundle:
    raise sequence_generator.SequenceGeneratorError(
        'Cannot specify both bundle_file and run_dir')
  if FLAGS.run_dir:
    train_dir = os.path.join(os.path.expanduser(FLAGS.run_dir), 'train')
    return train_dir
  else:
    return None
def get_checkpoint ( ) : if FLAGS . run_dir and FLAGS . bundle_file and not FLAGS . save_generator_bundle : raise sequence_generator . SequenceGeneratorError ( 'Cannot specify both bundle_file and run_dir' ) if FLAGS . run_dir : train_dir = os . path . join ( os . path . expanduser ( FLAGS . run_dir ) , 'train' ) return train_dir else : return None