code: def state(self):
      return (
          self.memory,
          self.manager.ptrs,
          self.manager.sizes,
          self.page_to_slot,
      )
  
file_path: ffcv/ffcv/memory_managers/process_cache/context.py
imports: from collections import defaultdict
  import numpy
  from ..base import MemoryManager, MemoryContext
  from ..common import BATCHES_TYPE
  from .schedule import Schedule, ScheduleExecutor, compute_schedule
label_desc: Use image node_id 2 for calling the ProcessCacheContext obj's underlying member method code with example usage: obj.state() and returns: self,  self,  self,  self