code: def _set_tensors(
      obj: Any, all_params: List[torch.Tensor], max_depth: int = 20
  ):
      """
      Set the tensors in an object to new tensor object listed in `all_params`.
  
      Examples
      --------
      >>> import torch
      >>> from deepchem.utils.differentiation_utils.editable_module import _set_tensors
      >>> class A:
      ...     def __init__(self):
      ...         self.a = 2
      ...         self.b = torch.tensor(3.0)
      ...         self.c = torch.tensor(4.0)
      ...         self.d = torch.tensor(5.0)
      ...
      >>> a = A()
      >>> _set_tensors(a, [torch.tensor(6.0), torch.tensor(7.0), torch.tensor(8.0)])
      >>> a.b
      tensor(6.)
      >>> a.c
      tensor(7.)
  
      Parameters
      ----------
      obj: an instance
          The object user wants to traverse down
      all_params: List[torch.Tensor]
          Sequence of tensors to be put in the object.
      max_depth: int (default=20)
          Maximum recursive depth to avoid infinitely running program.
          If the maximum depth is reached, then raise a RecursionError.
  
      """
  
      def action(elmt, name, objdict, key):
          objdict[key] = all_params.pop(0)
  
      # traverse down the object to collect the tensors
      def crit(elmt):
          return (
              isinstance(elmt, torch.Tensor)
              and elmt.dtype in torch_float_type
          )
  
      _traverse_obj(
          obj, action=action, crit=crit, prefix="", max_depth=max_depth
      )
  
imports: import inspect
  import warnings
  from abc import abstractmethod
  import copy
  import torch
  from typing import Sequence, Union, Dict, List, Callable, Any
  from deepchem.utils.attribute_utils import get_attr, set_attr, del_attr
label_desc: Use image node_id 3 for calling a global function with example usage: _set_tensors(obj, all_params, max_depth) and returns: unknown