code: def forward(self, x):
      assert x.dtype == self.expected_dtype
      if x.device.type == "cpu":
          assert torch.is_autocast_cpu_enabled()
      else:
          assert torch.is_autocast_enabled()
      output = self.layer(x)
      assert output.dtype == self.expected_dtype
      return output
  
file_path: pytorch-lightning/tests/tests_fabric/plugins/precision/test_amp_integration.py
imports: import pytest
  import torch
  import torch.nn
  from lightning.fabric import Fabric, seed_everything
  from tests_fabric.helpers.runif import RunIf
label_desc: Use image node_id 2 for calling the MixedPrecisionModule obj's underlying member method code with example usage: obj.forward(x) and returns: output