text: import torch
  from torch.jit._recursive import wrap_cpp_module
  
  def remove_redundant_aliases(scripted_module: torch.nn.Module):
      """
      Running torch.jit.trace on a model with DBR quantization introduces
      extra alias ops, because we use `torch.Tensor.as_subclass` and tracing
      through this results in an `aten::alias` function call in TorchScript.
      This pass removes these alias calls when it is safe to do so.
      """
      module_c = scripted_module._c
      module_c = \
          torch._C._jit_pass_dbr_quant_remove_redundant_aliases(module_c)  # type: ignore[attr-defined]
      scripted_module = wrap_cpp_module(module_c)
      return scripted_module
  