code: def get_virtual_prompt_ids_for_megatron_gpt(self, input_ids):
      if (
          self.cfg.virtual_prompt_style == VirtualPromptStyle.P_TUNING
          or not self.prompt_learning
          or self.trainer.testing
      ):
          prompt_ids = (
              torch.tensor([0] * input_ids.size(0)).to(input_ids.device)
              if self.prompt_learning
              else None
          )
      else:
          total_virtual_tokens = self.cfg.task_templates[
              0
          ].total_virtual_tokens
          init_text = self.cfg.task_templates[0].taskname
          init_text_ids = self.tokenizer.text_to_ids(init_text)
          init_text_ids = torch.tensor(init_text_ids).to(
              input_ids.device
          )
          prompt_ids = init_text_ids.repeat(input_ids.size(0), 1)[
              :, :total_virtual_tokens
          ]
      return prompt_ids
  
imports: import collections
  import copy
  import os
  import random
  from typing import Dict, Optional, Union
  import numpy
  import torch
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from torch.utils.data import DataLoader
  from transformers import AutoModelWithLMHead
  from nemo.collections.nlp.data.dialogue import DialogueGPTClassificationDataset, DialogueSGDDataProcessor
  from nemo.collections.nlp.data.dialogue.data_processor.assistant_data_processor import DialogueAssistantDataProcessor
  from nemo.collections.nlp.data.dialogue.data_processor.design_data_processor import DialogueDesignDataProcessor
  from nemo.collections.nlp.metrics.classification_report import ClassificationReport
  from nemo.collections.nlp.metrics.dialogue_metrics import DialogueClassificationMetrics
  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.models.nlp_model import NLPModel
  from nemo.collections.nlp.modules.common import VirtualPromptSource, VirtualPromptStyle
  from nemo.collections.nlp.modules.common.text_generation_utils import get_default_sampling_params, megatron_gpt_generate
  from nemo.collections.nlp.modules.common.transformer.text_generation import LengthParam
  from nemo.collections.nlp.parts.nlp_overrides import NLPSaveRestoreConnector
  from nemo.core.classes.common import PretrainedModelInfo
  from nemo.utils import logging
label_desc: Use image node_id 12 for calling the DialogueGPTClassificationModel obj's underlying member method code with example usage: obj.get_virtual_prompt_ids_for_megatron_gpt(input_ids) and returns: prompt_ids