docstr: Upgrade a (possibly old) state dict for new versions of fairseq.
docstr_tok: ["Upgrade","a","(","possibly","old",")","state","dict","for","new","versions","of","fairseq","."]
code: def upgrade_state_dict_named(self, state_dict, name):
      """Upgrade a (possibly old) state dict for new versions of fairseq."""
  
      super().upgrade_state_dict_named(state_dict, name)
      return state_dict
  
imports: import logging
  from dataclasses import dataclass, field
  from typing import Dict, List, Optional, Tuple
  import numpy
  import torch
  import torch.nn
  from omegaconf import II
  from fairseq import utils
  from fairseq.data.data_utils import compute_mask_indices
  from fairseq.data.dictionary import Dictionary
  from fairseq.dataclass import ChoiceEnum, FairseqDataclass
  from fairseq.models import BaseFairseqModel, register_model
  from fairseq.models.wav2vec.wav2vec2 import EXTRACTOR_MODE_CHOICES, MASKING_DISTRIBUTION_CHOICES, LAYER_TYPE_CHOICES, ConvFeatureExtractionModel, TransformerEncoder
  from fairseq.modules import GradMultiply, LayerNorm
  from fairseq.tasks.hubert_pretraining import HubertPretrainingConfig, HubertPretrainingTask
label_desc: Use image node_id 2 for calling the HubertModel obj's underlying member method code with example usage: obj.upgrade_state_dict_named(state_dict, name) and returns: state_dict