code: def torch_where(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")
      )
  
file_path: colossalai/colossalai/fx/tracer/meta_patch/patched_function/torch_ops.py
imports: import torch
  from ...registry import meta_patched_function
label_desc: Use image node_id 3 for calling a global function with example usage: torch_where(condition, x, y) and returns: unknown