code: def __init__(self, hidden_size, graph_hidden_size):
      super().__init__()
  
      self.hidden_size = hidden_size
      self.graph_hidden_size = graph_hidden_size
  
      self.bl_w = nn.Linear(hidden_size, hidden_size)
      self.graph_w = nn.Linear(graph_hidden_size, hidden_size)
  
imports: import logging
  import math
  import os
  import torch
  from mmf.common.registry import registry
  from mmf.models import BaseModel
  from mmf.modules.embeddings import BertVisioLinguisticEmbeddings
  from mmf.utils.configuration import get_mmf_cache_dir
  from mmf.utils.file_io import PathManager
  from mmf.utils.modeling import get_optimizer_parameters_for_bert
  from mmf.utils.transform import transform_to_batch_sequence, transform_to_batch_sequence_dim
  from omegaconf import OmegaConf
  from torch import nn
label_desc: Use image node_id 1 to create a new GraphPtrNet object from inherited base classes: nn with example: obj = GraphPtrNet(hidden_size, graph_hidden_size)