code: def __init__(self, config):
      super().__init__(config)
      self.config = config
  
imports: import logging
  from copy import deepcopy
  from typing import Dict
  import torch
  from mmf.common.registry import registry
  from mmf.models import BaseModel
  from mmf.models.unit.unit_base_model import AttributeHead, build_detection_loss, MLP, UniTBaseModel
  from mmf.modules.encoders import TransformerEncoder
  from mmf.utils.distributed import byte_tensor_to_object
  from torch import nn, Tensor
label_desc: Use image node_id 1 to create a new UniT object from inherited base classes: BaseModel with example: obj = UniT(config)