code: def get_debug_values(self, step, __):
      if self.record_codes and self.total_codes > 0:
          # Report annealing schedule
          return {"histogram_codes": self.codes[: self.total_codes]}
      else:
          return {}
  
imports: import functools
  from math import sqrt
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  import torchaudio
  from einops import rearrange
label_desc: Use image node_id 3 for calling the DiscreteVAE obj's underlying member method code with example usage: obj.get_debug_values(step, __) and returns: dict, dict