class_docstr: Training callback which allows collecting batch training times. The primary use is epoch training time estimation in adaptive epoch number selection.
class_docstr_tok: ["Training","callback","which","allows","collecting","batch","training","times",".","The","primary","use","is","epoch","training","time","estimation","in","adaptive","epoch","number","selection","."]
code: def _time_now(self):
      return time.time()
  
imports: import logging
  import time
  import numpy
  from fastai.callback.core import Callback, CancelFitException
  from fastai.callback.tracker import TrackerCallback
  from fastcore.basics import store_attr
label_desc: Use image node_id 3 for calling the BatchTimeTracker obj's underlying member method code with example usage: obj._time_now() and returns: time