code: def forward(self, x):
      assert x.dtype == torch.float64
      # the default dtype for new tensors is now float64
      assert torch.tensor([0.0]).dtype == torch.float64
      return self.layer(x)
  
file_path: pytorch-lightning/tests/tests_fabric/plugins/precision/test_double_integration.py
imports: import torch
  import torch.nn
  from lightning.fabric import Fabric
  from tests_fabric.helpers.runif import RunIf
label_desc: Use image node_id 2 for calling the BoringDoubleModule obj's underlying member method code with example usage: obj.forward(x) and returns: self