def _run_submission(self, metadata):
    """Runs submission inside Docker container.

    Args:
      metadata: dictionary with submission metadata

    Returns:
      True if status code of Docker command was success (i.e. zero),
      False otherwise.
    """
    if self._use_gpu:
      docker_binary = 'nvidia-docker'
      container_name = metadata['container_gpu']
    else:
      docker_binary = 'docker'
      container_name = metadata['container']
    if metadata['type'] == 'defense':
      cmd = [docker_binary, 'run',
             '--network=none',
             '-m=24g',
             '-v', '{0}:/input_images:ro'.format(self._sample_input_dir),
             '-v', '{0}:/output_data'.format(self._sample_output_dir),
             '-v', '{0}:/code'.format(self._extracted_submission_dir),
             '-w', '/code',
             container_name,
             './' + metadata['entry_point'],
             '/input_images',
             '/output_data/result.csv']
    else:
      epsilon = np.random.choice(ALLOWED_EPS)
      cmd = [docker_binary, 'run',
             '--network=none',
             '-m=24g',
             '-v', '{0}:/input_images:ro'.format(self._sample_input_dir),
             '-v', '{0}:/output_images'.format(self._sample_output_dir),
             '-v', '{0}:/code'.format(self._extracted_submission_dir),
             '-w', '/code',
             container_name,
             './' + metadata['entry_point'],
             '/input_images',
             '/output_images',
             str(epsilon)]
    logging.info('Command to run submission: %s', ' '.join(cmd))
    return shell_call(cmd)
Runs submission inside Docker container.

    Args:
      metadata: dictionary with submission metadata

    Returns:
      True if status code of Docker command was success (i.e. zero),
      False otherwise.