code: def before_training(self, model, dataset, **kwargs):
      model.before_training(dataset=dataset, task_type=type(self))
  
imports: import logging
  import os
  import torch
  import torch.distributed
  from lavis.common.dist_utils import get_rank, get_world_size, is_main_process, is_dist_avail_and_initialized
  from lavis.common.logger import MetricLogger, SmoothedValue
  from lavis.common.registry import registry
  from lavis.datasets.data_utils import prepare_sample
label_desc: Use image node_id 7 for calling the BaseTask obj's underlying member method code with example usage: obj.before_training(model, dataset) without return types