docstr: Compute the model's output given the current mini-batch.
code: def forward(self):
      """Compute the model's output given the current mini-batch."""
      return avalanche_forward(self.model, self.mb_x, self.mb_task_id)
  
file_path: avalanche/avalanche/training/templates/problem_type/supervised_problem.py
imports: from avalanche.models import avalanche_forward
  from avalanche.training.templates.strategy_mixin_protocol import SupervisedStrategyProtocol
label_desc: Use image node_id 5 for calling the SupervisedProblem obj's underlying member method code with example usage: obj.forward() and returns: avalanche_forward