code: def backward(self, loss, *args, **kwargs):
      if self.assert_backward:
          if self.trainer.precision == "16-mixed":
              assert loss > 171 * 1000
          else:
              assert loss == 171.0
  
      return super().backward(loss, *args, **kwargs)
  
imports: import torch
  from lightning.pytorch.core.module import LightningModule
  from torch import Tensor, nn
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 10 for calling the DeterministicModel obj's underlying member method code with example usage: obj.backward(loss) and returns: super