code: def _recursive_conj(dy):
      if isinstance(dy, torch.Tensor):
          return torch.conj(dy)
      return tuple(_recursive_conj(d) for d in dy)
  
file_path: pennylane/pennylane/workflow/interfaces/torch.py
imports: import inspect
  import logging
  import numpy
  import torch
  import torch.utils._pytree
  import pennylane
label_desc: Use image node_id 2 for calling a global function with example usage: _recursive_conj(dy) and returns: tuple, torch