code: def __init__(self):
      self.params = {
          "layers": 28,
          "d_model": 4096,
          "n_heads": 16,
          "n_vocab": 50400,
          "norm": "layernorm",
          "pe": "rotary",
          "pe_rotary_dims": 64,
          "seq": 2048,
          "cores_per_replica": 8,
          "per_replica_batch": 1,
          "sampler": nucleaus_sample,
          "optimizer": optax.scale(0),
      }
      self.tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
      self.queue_ids = {}
      self.qidx = 0
      self.queue = Queue()
      self.network = None
      self.lock = threading.Lock()
      self._alive_time = timer()
  
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 1 to create a new GPTJ object  with example: obj = GPTJ()