Hi, I wanted to compare several runs that I did in the loop creating new SummaryWriter instances like this:
for experiment_name in experiments: logger = SummaryWriter(self._log_path, comment=experiment_name) ... for epoch in range(5): ... logger.add_scalar("Epoch Loss", loss, epoch) ... logger.close()
In the log path I got several files like this:
events.out.tfevents.1609675249.nlp-vm.13735.0 events.out.tfevents.1609679736.nlp-vm.13735.1 events.out.tfevents.1609687200.nlp-vm.13735.2 events.out.tfevents.1609691662.nlp-vm.13735.3 events.out.tfevents.1609699158.nlp-vm.13735.4 events.out.tfevents.1609703743.nlp-vm.13735.5 events.out.tfevents.1609711308.nlp-vm.13735.6 events.out.tfevents.1609716054.nlp-vm.13735.7
But the Tensorboard displays all runs as one:
What I should do to fix it and can I do it without re-running all experiments?