code: def reset_noise_accs(self):
      self.noisy_acc = {
          t: {"acc@1": [], "acc@5": []}
          for t in range(
              0,
              self.diffusion_model.num_timesteps,
              self.diffusion_model.log_every_t,
          )
      }
  
imports: import os
  from copy import deepcopy
  from glob import glob
  import lightning.pytorch
  import torch
  from einops import rearrange
  from ldm.lr_scheduler import LambdaLinearScheduler
  from ldm.models.diffusion.ddpm import LatentDiffusion
  from ldm.modules.diffusionmodules.openaimodel import EncoderUNetModel, UNetModel
  from ldm.util import default, ismap, log_txt_as_img
  from natsort import natsorted
  from omegaconf import OmegaConf
  from torch.nn import functional
  from torch.optim import AdamW
  from torch.optim.lr_scheduler import LambdaLR
label_desc: Use image node_id 14 for calling the NoisyLatentImageClassifier obj's underlying member method code with example usage: obj.reset_noise_accs() without return types