code: def forward(
      self,
      input_ids,
      position_ids,
      attention_mask,
      taskname_ids,
      labels=None,
      inference=True,
      set_inference_key_value_memory=False,
      inference_max_sequence_len=None,
  ):
      if self.autocast_dtype == torch.float32:
          output = self.frozen_model.model(
              input_ids=input_ids,
              position_ids=position_ids,
              encoder_input=None,
              attention_mask=attention_mask,
              labels=labels,
              set_inference_key_value_memory=set_inference_key_value_memory,
              inference_max_sequence_len=inference_max_sequence_len,
          )
      else:
          with torch.autocast(
              device_type="cuda", dtype=self.autocast_dtype
          ):
              output = self.frozen_model.model(
                  input_ids=input_ids,
                  position_ids=position_ids,
                  encoder_input=None,
                  attention_mask=attention_mask,
                  labels=labels,
                  set_inference_key_value_memory=set_inference_key_value_memory,
                  inference_max_sequence_len=inference_max_sequence_len,
              )
  
      return output
  
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 2 for calling the MegatronGPTBaseAdapterModel obj's underlying member method code with example usage: obj.forward(input_ids, position_ids, attention_mask, taskname_ids, labels, inference, set_inference_key_value_memory, inference_max_sequence_len) and returns: output