code: def __init__(self, lr=0.05):
      super().__init__()
  
      self.save_hyperparameters()
      self.model = create_model()
  
imports: import os
  from time import time
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision
  from pytorch_lightning import LightningModule, seed_everything
  from bigdl.nano.pytorch import Trainer, InferenceOptimizer
  from pytorch_lightning.callbacks import LearningRateMonitor
  from pytorch_lightning.loggers import TensorBoardLogger
  from torch.optim.lr_scheduler import OneCycleLR
  from torchmetrics.functional import accuracy
  from pl_bolts.datamodules import CIFAR10DataModule
  from pl_bolts.transforms.dataset_normalizations import cifar10_normalization
label_desc: Use image node_id 1 to create a new LitResnet object from inherited base classes: LightningModule with example: obj = LitResnet(lr)