class_docstr: High-level Python wrapper for a llama.cpp model.
docstr: Set the cache.
  
  Args:
      cache: The cache to set.
docstr_tok: ["Set","the","cache",".","Args",":","cache",":","The","cache","to","set","."]
code: def set_cache(self, cache: Optional[LlamaCache]):
      """Set the cache.
  
      Args:
          cache: The cache to set.
      """
      self.cache = cache
  
imports: import os
  import sys
  import uuid
  import time
  import math
  import multiprocessing
  from typing import List, Optional, Union, Generator, Sequence, Iterator, Deque, Tuple
  from collections import deque, OrderedDict
  from bigdl.llm.utils.common import invalidInputError
  from bigdl.llm.ggml.model.generation import GenerationMixin
  from .None import llama_cpp
  from .llama_types import *
label_desc: Use image node_id 4 for calling the Llama obj's underlying member method code with example usage: obj.set_cache(cache) without return types