class_docstr: Callback that record the mean and std of activations.
docstr: For outputs of RNN which are [nested] tuples of tensors
docstr_tok: ["For","outputs","of","RNN","which","are","[","nested","]","tuples","of","tensors"]
code: def hook_multi_ouput(self, o_tuple):
      "For outputs of RNN which are [nested] tuples of tensors"
      res = []
      for o in self._flatten_tuple(o_tuple):
          if not (isinstance(o, Tensor)):
              continue
          res.append(self.hook(None, None, o))
      return res
  
imports: from __future__ import annotations
  from ..basics import *
label_desc: Use image node_id 4 for calling the ActivationStats obj's underlying member method code with example usage: obj.hook_multi_ouput(o_tuple) and returns: res