code: def generate(self, text, image=None, **kwargs):
      text_embeds = self.encode_text(text)
      img_embeds = self.encode_img(image)
      prompt_embeds = self.wrap_prompt(text_embeds, img_embeds)
      out_embeds = self.internlm_model.generate(
          inputs_embeds=prompt_embeds, **self.get_gen_args(**kwargs)
      )
      out_text = self.decode_text(out_embeds)
      return out_text
  
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 11 for calling the InternLMXComposerForCausalLM obj's underlying member method code with example usage: obj.generate(text, image) and returns: out_text