class_docstr: base class for all mixin based adapter models
code: def first_stage_of_pipeline(self):
      if hasattr(self, "model") and hasattr(self.model, "pre_process"):
          return self.model.pre_process
      elif (
          hasattr(self, "model")
          and hasattr(self.model, "module")
          and hasattr(self.model.module, "pre_process")
      ):
          # (guyueh1): this if condition is used to handle amp O2
          # when amp_O2 is on, self.model will be wrapped by the Float16Module class
          return self.model.module.pre_process
      logging.warning(
          "no attribute named model or no model.pre_process found. Can not detect stage of pipeline..."
      )
      return False
  
imports: from omegaconf.dictconfig import DictConfig
  from pytorch_lightning.trainer.trainer import Trainer
  from nemo.collections.nlp.models.language_modeling.megatron_gpt_sft_model import MegatronGPTSFTModel
  from nemo.collections.nlp.modules.common.megatron.adapters.mcore_mixins import MCoreGPTEmbeddingMixin, MCoreSelfAttentionMixin, MCoreTransformerLayerMixin, swap_mcore_mixin
  from nemo.collections.nlp.modules.common.megatron.adapters.parallel_adapters import AdapterName, InfusedAdapterConfig, LoraKQVAdapterConfig, LoraKQVAdapterWeightTyingConfig, MLPInfusedAdapterConfig, ParallelLinearAdapterConfig, ParallelLinearAdapterWeightTyingConfig, PromptEncoderAdapterConfig
  from nemo.core.classes.mixins import adapter_mixins
  from nemo.utils import logging, model_utils
  from nemo.utils.decorators import deprecated
label_desc: Use image node_id 2 for calling the MegatronGPTPEFTModel obj's underlying member method code with example usage: obj.first_stage_of_pipeline() and returns: False, self, self