code: def empty_device_cache(cls):
      yield
      if cls.optimize_device_cache:
          if is_xpu_available():
              gc.collect()
              torch.xpu.empty_cache()
              gc.collect()
          elif is_npu_available():
              gc.collect()
              torch.npu.empty_cache()
              gc.collect()
          elif torch.cuda.is_available():
              gc.collect()
              torch.cuda.empty_cache()
              gc.collect()
  
imports: import gc
  import random
  import warnings
  from contextlib import contextmanager
  from typing import Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils.rnn import pad_sequence
  from transformers import top_k_top_p_filtering
  from .import_utils import is_npu_available, is_xpu_available
label_desc: Use image node_id 1 for calling the PPODecorators obj's underlying member method code with example usage: obj.empty_device_cache(cls) without return types