in source/train.py [0:0]
def after_step(self):
next_iter = self.trainer.iter + 1
is_final = next_iter == self.trainer.max_iter
if is_final or (self._period > 0 and next_iter % self._period == 0):
self._do_loss_eval()
self.trainer.storage.put_scalars(timetest=12)