class_docstr: Cache manager for autotune
code: def __init__(self, key):
      self.key = key
      self.file_path = None
      self.lock_path = None
      # if caching is enabled, get the lock and bin path
      self.cache_dir = os.environ.get(
          "TRITON_CACHE_DIR", _default_cache_dir()
      )
      if self.cache_dir:
          os.makedirs(self.cache_dir, exist_ok=True)
      if self.cache_dir:
          self.file_path = os.path.join(
              self.cache_dir, self.key + ".pickle"
          )
          self.lock_path = self.file_path + ".lock"
  
imports: import torch
  import triton
  import os
  from filelock import FileLock
  import deepspeed.ops.transformer.inference.triton.triton_matmul_kernel
  import pickle
  from io import open
  import deepspeed
  from pathlib import Path
  import atexit
label_desc: Use image node_id 1 to create a new AutotuneCacheManager object  with example: obj = AutotuneCacheManager(key)