code: def load_buffers(
      mod: nn.Module,
      names: Sequence[str],
      buffers: Sequence[Tensor],
      as_params: bool = False,
  ) -> None:
      accessor = NamedMemberAccessor(mod)
      accessor.set_tensors(names, buffers)
  
imports: import copy
  from typing import Any, Callable, Dict, Iterable, List, NoReturn, Sequence, Tuple, Type, Union
  import torch
  import torch.nn
  from torch import Tensor
  from torch.nn.utils._named_member_accessor import NamedMemberAccessor
label_desc: Use image node_id 8 for calling a global function with example usage: load_buffers(mod, names, buffers, as_params) without return types