code: def encode_img(self, image):
      if image is None:
          return None
      if isinstance(image, str):
          image = Image.open(image).convert("RGB")
          image = self.vis_processor(image).unsqueeze(0).to(self.device)
      else:
          assert isinstance(image, torch.Tensor)
      device = image.device
      with self.maybe_autocast():
          image_embeds = self.ln_vision(self.visual_encoder(image)).to(
              device
          )
          image_atts = torch.ones(
              image_embeds.size()[:-1], dtype=torch.long
          ).to(device)
          query_tokens = self.query_tokens.expand(
              image_embeds.shape[0], -1, -1
          )
          query_output = self.Qformer.bert(
              query_embeds=query_tokens,
              encoder_hidden_states=image_embeds,
              encoder_attention_mask=image_atts,
              return_dict=True,
          )
          inputs_internlm = self.internlm_proj(
              query_output.last_hidden_state
          )
          inputs_internlm = torch.cat(
              [
                  self.flag_image_start.expand(
                      inputs_internlm.shape[0], -1, -1
                  ),
                  inputs_internlm,
                  self.flag_image_end.expand(
                      inputs_internlm.shape[0], -1, -1
                  ),
              ],
              dim=1,
          )
      return inputs_internlm
  
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 6 for calling the InternLMXComposerForCausalLM obj's underlying member method code with example usage: obj.encode_img(image) and returns: inputs_internlm, None