class_docstr: Transformer decoder model.
      
class_docstr_tok: ["Transformer","decoder","model","."]
docstr: For easy load.
docstr_tok: ["For","easy","load","."]
code: def state_dict_for_save_checkpoint(
      self, destination=None, prefix="", keep_vars=False
  ):
      """For easy load."""
  
      state_dict_ = {}
  
      state_dict_[
          self._model_key
      ] = self.model.state_dict_for_save_checkpoint(
          destination, prefix, keep_vars
      )
  
      return state_dict_
  
file_path: NeMo/nemo/collections/nlp/modules/common/megatron/megatron_transformer_decoder.py
imports: from nemo.collections.nlp.modules.common.megatron.layer_type import LayerType
  from nemo.collections.nlp.modules.common.megatron.megatron_decoder_module import MegatronDecoderModule
  from nemo.collections.nlp.modules.common.megatron.module import MegatronModule
  from nemo.collections.nlp.modules.common.megatron.transformer import ParallelTransformer
  from nemo.collections.nlp.modules.common.megatron.utils import ApexGuardDefaults, attn_mask_postprocess, build_attention_mask_3d
  from nemo.core.classes.exportable import Exportable
label_desc: Use image node_id 4 for calling the MegatronTransformerDecoderModule obj's underlying member method code with example usage: obj.state_dict_for_save_checkpoint(destination, prefix, keep_vars) and returns: state_dict_