class_docstr: Callback that record the mean and std of activations.
docstr: Take the stored results and puts it in `self.stats`
docstr_tok: ["Take","the","stored","results","and","puts","it","in","`","self.stats","`"]
code: def after_batch(self):
      "Take the stored results and puts it in `self.stats`"
      if self.training and (
          self.every is None or self.train_iter % self.every == 0
      ):
          self.stats.append(self.hooks.stored)
      super().after_batch()
  
imports: from __future__ import annotations
  from ..basics import *
label_desc: Use image node_id 6 for calling the ActivationStats obj's underlying member method code with example usage: obj.after_batch() without return types