code: def maybe_autocast(self, dtype=torch.float16):
      # if on cpu, don't use autocast
      # if on gpu, use autocast with dtype if provided, otherwise use torch.float16
      enable_autocast = self.device != torch.device("cpu")
  
      if enable_autocast:
          return torch.cuda.amp.autocast(dtype=dtype)
      else:
          return contextlib.nullcontext()
  
imports: import copy
  import os
  import sys
  import contextlib
  import torch.utils.checkpoint
  from torch.nn import LayerNorm
  from torchvision import transforms
  from torchvision.transforms.functional import InterpolationMode
  from PIL import Image
  from .modeling_perceive_sampler import BertConfig, BertLMHeadModel
  from .modeling_vit import *
  from .modeling_InternLM import *
  from .modeling_utils import *
  from transformers.utils import logging
label_desc: Use image node_id 4 for calling the InternLMXComposerForCausalLM obj's underlying member method code with example usage: obj.maybe_autocast(dtype) and returns: torch, contextlib