code: def torch_where_override(condition, x, y):
      # torch.where returns the broadcasted tensor of condition, x, and y,
      # so hack it by using addition
      return (
          condition.to(device="meta")
          + x.to(device="meta")
          + y.to(device="meta")
      )
  
imports: import torch
  import torch.fx
  import warnings
  import functools
  import builtins
  from typing import Any, Callable, Dict, Optional, Union
label_desc: Use image node_id 6 for calling a global function with example usage: torch_where_override(condition, x, y) and returns: unknown