code: def test_rematerialize_from_meta(self) -> None:
      pw = PositionWeightedModule(
          max_feature_length=10, device=torch.device("meta")
      )
      self.assertTrue(pw.position_weight.is_meta)
  
      # Re-materialize on cuda
      init_parameters(pw, torch.device("cuda"))
      self.assertTrue(not pw.position_weight.is_meta)
      torch.testing.assert_close(
          pw.position_weight, torch.ones_like(pw.position_weight)
      )
  
file_path: torchrec/torchrec/modules/tests/test_feature_processor_.py
imports: import unittest
  import torch
  from torchrec.distributed.utils import init_parameters
  from torchrec.fx.tracer import symbolic_trace
  from torchrec.modules.feature_processor_ import PositionWeightedModule, PositionWeightedModuleCollection
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
label_desc: Use image node_id 2 for calling the PositionWeightedModuleTest obj's underlying member method code with example usage: obj.test_rematerialize_from_meta() without return types