code: def gpt2_xl(checkpoint=False):
      return GPTLMModel(
          hidden_size=1600,
          num_layers=48,
          num_attention_heads=32,
          checkpoint=checkpoint,
      )
  
imports: import time
  from copy import deepcopy
  from typing import Callable, Tuple
  import numpy
  import torch
  import torch.nn
  from transformers import GPT2Config, GPT2LMHeadModel
  from colossalai.auto_parallel.checkpoint import CheckpointSolverRotor
  from colossalai.fx import metainfo_trace
label_desc: Use image node_id 4 for calling a global function with example usage: gpt2_xl(checkpoint) and returns: GPTLMModel