code: def set_item(
      x: torch.Tensor,
      query: Union[torch.Tensor, Tuple],
      val: torch.Tensor,
      /,
      *,
      copy: Optional[bool] = False,
  ) -> torch.Tensor:
      if (
          hasattr(x, "dtype")
          and hasattr(val, "dtype")
          and x.dtype != val.dtype
      ):
          val = val.to(x.dtype)
      if copy:
          x = x.clone()
      x.__setitem__(query, val)
      return x
  
imports: from functools import reduce
  from numbers import Number
  from operator import mul
  from typing import Optional, Union, Sequence, Callable, List, Tuple
  import numpy
  import torch
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, _update_torch_views
  from .None import backend_version, is_variable
  from ...ivy.general import _broadcast_to
label_desc: Use image node_id 8 for calling a global function with example usage: set_item() and returns: x