code: def _get_tensors(obj: Any, prefix="", max_depth=20):
      """
      Collect all tensors in an object recursively and return the tensors as well
      as their "names" (names meaning the address, e.g. "self.a[0].elmt").
  
      Examples
      --------
      >>> import torch
      >>> from deepchem.utils.differentiation_utils.editable_module import _get_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()
      >>> _get_tensors(a)
      ([tensor(3.), tensor(4.), tensor(5.)], ['b', 'c', 'd'])
  
      Parameters
      ----------
      obj: Any
          The object user wants to traverse down
      prefix: str (default="")
          Prefix of the name of the collected tensors.
      max_depth: int (default=20)
          Maximum recursive depth to avoid infinitely running program.
          If the maximum depth is reached, then raise a RecursionError.
  
      Returns
      -------
      res: list[torch.Tensor]
          Sequence of tensors collected recursively in the object.
      name: list[str]
          Sequence of names of the collected tensors.
  
      """
  
      # get the tensors recursively towards torch.nn.Module
      res = []
      names = []
  
      def action(elmt, name, objdict, key):
          res.append(elmt)
          names.append(name)
  
      # 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=prefix,
          max_depth=max_depth,
      )
      return res, names
  
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 2 for calling a global function with example usage: _get_tensors(obj, prefix, max_depth) and returns: res,  names, unknown