WIP

1 files changed, 7 insertions, 6 deletions

diff --git a/train.py b/train.py
index eb0833d..eeb77d2 100644
--- a/train.py
+++ b/train.py
@@ -37,30 +37,31 @@ optimizer = optimizers.Adam()
 optimizer.setup(model)
 
 # trainer
-trigger_best = training.triggers.MinValueTrigger('test/main/loss', (config.train.snapshot_iteration, 'iteration'))
+trigger_log = (config.train.log_iteration, 'iteration')
+trigger_snapshot = (config.train.snapshot_iteration, 'iteration')
 
 converter = partial(convert.concat_examples, padding=0)
 updater = training.StandardUpdater(train_iter, optimizer, device=config.train.gpu, converter=converter)
 trainer = training.Trainer(updater, out=config.train.output)
 
 ext = extensions.Evaluator(test_iter, model, converter, device=config.train.gpu)
-trainer.extend(ext, name='test', trigger=(config.train.log_iteration, 'iteration'))
+trainer.extend(ext, name='test', trigger=trigger_log)
 ext = extensions.Evaluator(train_eval_iter, model, converter, device=config.train.gpu)
-trainer.extend(ext, name='train', trigger=(config.train.log_iteration, 'iteration'))
+trainer.extend(ext, name='train', trigger=trigger_log)
 
 trainer.extend(extensions.dump_graph('main/loss', out_name='graph.dot'))
 
 ext = extensions.snapshot_object(predictor, filename='predictor_{.updater.iteration}.npz')
-trainer.extend(ext, trigger=trigger_best)
+trainer.extend(ext, trigger=trigger_snapshot)
 
-trainer.extend(extensions.LogReport(trigger=(config.train.log_iteration, 'iteration'), log_name='log.txt'))
+trainer.extend(extensions.LogReport(trigger=trigger_log, log_name='log.txt'))
 
 if extensions.PlotReport.available():
     trainer.extend(extensions.PlotReport(
         y_keys=['main/loss', 'test/main/loss'],
         x_key='iteration',
         file_name='loss.png',
-        trigger=(config.train.log_iteration, 'iteration'),
+        trigger=trigger_log,
     ))
 
 trainer.run()