class_docstr: base class for all mixin based adapter models
docstr: Returns all the keys in the model
docstr_tok: ["Returns","all","the","keys","in","the","model"]
code: def get_all_keys(
      self,
  ):
      """
      Returns all the keys in the model
      """
      k = [n for n, p in self.named_parameters()]
      b = [
          n
          for n, p in self.named_buffers()
          if n.replace("model.module.", "model.", 1)
          in self.state_dict().keys()
      ]
      # we include buffers because ptuning representations are cached in a buffer and saved to state_dict for inference time use.
      return set(k + b)
  
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 5 for calling the MegatronGPTPEFTModel obj's underlying member method code with example usage: obj.get_all_keys() and returns: set