code: def __torch_dispatch__(cls, func, types, args, kwargs):
      if kwargs is None:
          kwargs = {}
      args_a = pytree.tree_map_only(TwoTensor, lambda x: x.a, args)
      args_b = pytree.tree_map_only(TwoTensor, lambda x: x.b, args)
  
      kwargs_a = pytree.tree_map_only(TwoTensor, lambda x: x.a, kwargs)
      kwargs_b = pytree.tree_map_only(TwoTensor, lambda x: x.b, kwargs)
  
      out_a = func(*args_a, **kwargs_a)
      out_b = func(*args_b, **kwargs_b)
      assert type(out_a) == type(out_b)
      out_a_flat, spec = pytree.tree_flatten(out_a)
      out_b_flat = pytree.tree_leaves(out_b)
      # for aten ops that return non-tensors, just assume that
      # our two inner tensors return the same value
      out_flat = [
          TwoTensor(o_a, o_b) if isinstance(o_a, torch.Tensor) else o_a
          for o_a, o_b in zip(out_a_flat, out_b_flat)
      ]
      out = pytree.tree_unflatten(out_flat, spec)
      return return_and_correct_aliasing(func, args, kwargs, out)
  
file_path: pytorch/torch/testing/_internal/two_tensor.py
imports: import torch
  import torch.utils._pytree
  from torch.utils._python_dispatch import return_and_correct_aliasing
label_desc: Use image node_id 6 for calling the TwoTensor obj's underlying member method code with example usage: obj.__torch_dispatch__(cls, func, types, args, kwargs) and returns: return_and_correct_aliasing