code: def background(self):
      logger.info(f"Init Background")
      maps.thread_resources.env = maps.ResourceEnv(
          maps.Mesh(self.devices, ("dp", "mp"))
      )
      while True:
          batch, qids = [], []
          while len(batch) <= self.total_batch:
              try:
                  req = self.queue.get(block=False)
                  logger.info(f"Got Queue Item: {req}")
                  batch.append(req["item"])
                  qids.append(req["qidx"])
  
              except Empty:
                  if len(batch):
                      break
                  else:
                      time.sleep(0.01)
          batch_size = len(batch)
          logger.info(f"Working on Batch: {batch_size} - {qids}")
          while len(batch) < self.total_batch:
              batch.append(self.placeholder_item)
          start = timer()
          results = self.infer_batch(batch)
          for res, qid in zip(results, qids):
              self.queue_ids[qid].put(res)
          logger.info(
              f"Completed Current Batch of {batch_size} Items in {timer(start):.2f} secs"
          )
  
imports: import os
  import time
  import jax
  import optax
  import threading
  import numpy
  import logging
  from queue import Queue, Empty
  from jax.experimental import maps
  from transformers import GPT2TokenizerFast
  from mesh_transformer.checkpoint import read_ckpt
  from mesh_transformer.sampling import nucleaus_sample
  from mesh_transformer.transformer_shard import CausalTransformer
label_desc: Use image node_id 9 for calling the GPTJ obj's underlying member method code with example usage: obj.background() without return types