(self, file_name='rl.pkl',
                     task_file_name='trajectories.pkl')
Initialize epoch number and average returns from file.
Initialize epoch number and average returns from file.
Initialize epoch number and average returns from file .
def init_from_file(self, file_name='rl.pkl',
                     task_file_name='trajectories.pkl'):
    """Initialize epoch number and average returns from file."""
    assert self._output_dir is not None
    task_path = os.path.join(self._output_dir, task_file_name)
    if tf.io.gfile.exists(task_path):
      self._task.init_from_file(task_path)
    file_path = os.path.join(self._output_dir, file_name)
    if not tf.io.gfile.exists(file_path):
      return
    with tf.io.gfile.GFile(file_path, 'rb') as f:
      dictionary = pickle.load(f)
    self._epoch = dictionary['epoch']
    self._avg_returns = dictionary['avg_returns']
    for eval_t in self._eval_temperatures:
      self._avg_returns_temperatures[eval_t] = dictionary[
          'avg_returns_temperature_{}'.format(eval_t)]
def init_from_file ( self , file_name = 'rl.pkl' , task_file_name = 'trajectories.pkl' ) : assert self . _output_dir is not None task_path = os . path . join ( self . _output_dir , task_file_name ) if tf . io . gfile . exists ( task_path ) : self . _task . init_from_file ( task_path ) file_path = os . path . join ( self . _output_dir , file_name ) if not tf . io . gfile . exists ( file_path ) : return with tf . io . gfile . GFile ( file_path , 'rb' ) as f : dictionary = pickle . load ( f ) self . _epoch = dictionary [ 'epoch' ] self . _avg_returns = dictionary [ 'avg_returns' ] for eval_t in self . _eval_temperatures : self . _avg_returns_temperatures [ eval_t ] = dictionary [ 'avg_returns_temperature_{}' . format ( eval_t ) ]