class_docstr: Cache for model outputs.
docstr: Remove the lock from the map to clean up, returns it.
code: def delete_pred_lock(
      self, keys: list[CacheKey]
  ) -> Optional[threading.RLock]:
      """Remove the lock from the map to clean up, returns it."""
      pl_key = self.pred_lock_key(keys)
      if pl_key is None:
          return None
      return self._pred_locks.pop(pl_key)
  
imports: from collections.abc import Callable, Iterable
  import os
  import pickle
  import threading
  from typing import Any, Optional, Union
  from absl import logging
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.lib import serialize
label_desc: Use image node_id 9 for calling the PredsCache obj's underlying member method code with example usage: obj.delete_pred_lock(keys) and returns: self, None