code: def __init__(self, config, len_video_ft=4224):
      super().__init__(config)
  
      self.video_ff = nn.Linear(len_video_ft, config.n_embd)
      self.video_ff_out = nn.Linear(config.n_embd, len_video_ft)
  
      # Model parallel
      self.model_parallel = False
      self.device_map = None
  
      # Initialize weights and apply final processing
      self.post_init()
  
file_path: lavis/lavis/models/gpt_models/gpt_dialogue.py
imports: import torch
  import torch.nn
  from lavis.common.registry import registry
  from lavis.models.base_model import BaseModel
  from torch.nn import CrossEntropyLoss, MSELoss
  from transformers import GPT2LMHeadModel
  from transformers.modeling_outputs import CausalLMOutputWithCrossAttentions
label_desc: Use image node_id 1 to create a new GPTDialogue object from inherited base classes: BaseModel, GPT2LMHeadModel with example: obj = GPTDialogue(config, len_video_ft)