code: def __init__(self, loss, acc):
      super().__init__()
  
      self.loss = torch.tensor(loss)
      self.acc = torch.tensor(acc)
  
imports: import shutil
  import tempfile
  import unittest
  import pytorch_lightning
  from ray.train import CheckpointConfig
  import torch
  from ray.air.constants import TRAINING_ITERATION
  from torch.utils.data import DataLoader, Dataset
  from ray import train, tune
  from ray.tune.integration.pytorch_lightning import TuneReportCheckpointCallback
label_desc: Use image node_id 1 to create a new _MockModule object from inherited base classes: pl with example: obj = _MockModule(loss, acc)