code: def __init__(self, expected_dtype):
      super().__init__()
      self.expected_dtype = expected_dtype
      self.layer = torch.nn.Linear(32, 2)
  
file_path: pytorch-lightning/tests/tests_fabric/plugins/precision/test_xla_integration.py
imports: import os
  from unittest import mock
  import pytest
  import torch
  import torch.nn
  from lightning.fabric import Fabric
  from lightning.fabric.plugins import XLAPrecision
  from tests_fabric.helpers.runif import RunIf
label_desc: Use image node_id 1 to create a new BoringPrecisionModule object from inherited base classes: nn with example: obj = BoringPrecisionModule(expected_dtype)