Hello,
I need to save a file with the average elapsed time per epoch and I found this function on the documentation:
https://pytorch.org/ignite/_modules/ignite/handlers/timing.html 10
 t = Timer(average=True)
for _ in range(10):
       work()
       idle()
       t.step()

def save_time(engine):
     torch.save(t.value(),'time.pt´)

trainer.add_event_handler(Events.EPOCH_STARTED(every=3), save_time)

this works but It shows the elapsed time in 3 epochs and I suppose the file overwrites every 3 epochs but what I want is to calculate the average time just once for the first epoch and stop the timer. I don’t want to divide timer value between 3, also I don’t want to generate one file per epoch. One option is to run my code with  just one epoch but I am running several models and I would like to generate this just once every time I am going to train.
How can I achieve this? 
pd: the documentation show an example doing it by iteration, but I am unable to translate this example to epoch. I believe the documentation should extend to epoch example as well.
Regards,