dir_path = './'
ckpt_files = [f for f in os.listdir(dir_path) if os.path.isfile(os.path.
    join(dir_path, f)) and 'ckpt' in f]
for ckpt_file in ckpt_files:
    saver.restore(sess, dir_path + ckpt_file)
global_step = ckpt.model_checkpoint_path.split('/')[-1].split('-')[-1]
print('Succesfully loaded model from %s at step=%s.' % (ckpt.
    model_checkpoint_path, global_step))
tensorflow: запустить оценку модели по нескольким контрольным точкам