code: def get_forward_output_and_loss_func(self):
      def fwd_output_and_loss_func(dataloader_iter, model):
          batch = next(dataloader_iter)
          batch = [x.cuda(non_blocking=True) for x in batch]
          (
              input_ids,
              labels,
              loss_mask,
              position_ids,
              attention_mask,
              taskname_ids,
          ) = batch
          output_tensor = model(
              input_ids,
              position_ids,
              attention_mask,
              taskname_ids,
              labels,
              inference=False,
          )
  
          def loss_func(output_tensor):
              loss = self.frozen_model.loss_func(
                  loss_mask, output_tensor
              )
              reduced_loss = average_losses_across_data_parallel_group(
                  [loss]
              )
              return loss, {"avg": reduced_loss}
  
          return output_tensor, loss_func
  
      return fwd_output_and_loss_func
  
imports: import itertools
  import os
  import torch
  from omegaconf.dictconfig import DictConfig
  from pytorch_lightning.trainer.trainer import Trainer
  from nemo.collections.common.parts.adapter_modules import LinearAdapterConfig
  from nemo.collections.nlp.models.language_modeling.megatron_gpt_model import MegatronGPTModel
  from nemo.collections.nlp.models.language_modeling.megatron_gpt_prompt_learning_model import MegatronGPTPromptLearningModel
  from nemo.collections.nlp.modules.common import VirtualPromptStyle
  from nemo.collections.nlp.modules.common.megatron.adapters.parallel_adapters import AdapterName, InfusedAdapterConfig, MLPInfusedAdapterConfig, ParallelLinearAdapterConfig
  from nemo.collections.nlp.modules.common.megatron.utils import average_losses_across_data_parallel_group
  from nemo.collections.nlp.parts.nlp_overrides import NLPSaveRestoreConnector
  from nemo.collections.nlp.parts.utils_funcs import get_last_rank
  from nemo.core.classes.mixins import adapter_mixins
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 9 for calling the MegatronGPTBaseAdapterModel obj's underlying member method code with example usage: obj.get_forward_output_and_loss_func() and returns: fwd_output_and_loss_func, output_tensor,  loss_func, loss,  dict