docstr: Clean up any resources or hooks after decoding is finished
docstr_tok: ["Clean","up","any","resources","or","hooks","after","decoding","is","finished"]
code: def cleanup_caching(self) -> None:
      """Clean up any resources or hooks after decoding is finished"""
      pass
  
imports: from dataclasses import dataclass, field, replace
  from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.distributions import Categorical
  from .audio import CHUNK_LENGTH
  from .tokenizer import Tokenizer, get_tokenizer
  from .utils import compression_ratio
label_desc: Use image node_id 3 for calling the Inference obj's underlying member method code with example usage: obj.cleanup_caching() without return types