code: def get_config():
      """Returns the configuration for COCO using a mini DeformableDETR."""
      config = get_coco_config()
  
      # Dataset.
      config.dataset_configs.max_boxes = 10
  
      # Model.
      config.embed_dim = 32
      config.enc_embed_dim = 32
      config.num_queries = 12
      config.num_feature_levels = 4
      config.num_heads = 4
      config.num_encoder_layers = 2
      config.num_decoder_layers = 2
      config.transformer_ffn_dim = 256
      config.num_enc_points = 1
      config.num_dec_points = 2
      config.backbone_num_filters = 16
      config.backbone_num_layers = 18
  
      # Pretrained_backbone.
      config.load_pretrained_backbone = False
      config.freeze_backbone_batch_stats = False
  
      # Logging.
      config.write_summary = False  # don't write summary
      config.checkpoint = False  # don't do checkpointing
      config.checkpoint_steps = None
      config.debug_train = False  # don't debug  during training
      config.debug_eval = False  # don't debug during eval
  
      config.num_training_steps = 2
      config.log_eval_steps = 2
      config.steps_per_eval = 2
      config.num_training_epochs = None
  
      return config
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_config() and returns: config