debug

tests/test_models.py

@@ -42,7 +42,7 @@ def test_cpu_restore_training():
     exp.save()
 
     trainer_options = dict(
-        max_nb_epochs=1,
+        max_nb_epochs=2,
         val_check_interval=0.50,
         val_percent_check=0.2,
         train_percent_check=0.2,
@@ -53,7 +53,7 @@ def test_cpu_restore_training():
     # fit model
     trainer = Trainer(**trainer_options)
     result = trainer.fit(model)
-    real_global_step = trainer.global_step
+    real_global_epoch = trainer.current_epoch
 
     # traning complete
     assert result == 1, 'amp + ddp model failed to complete'
@@ -86,7 +86,7 @@ def test_cpu_restore_training():
 
     # set the epoch start hook so we can predict before the model does the full training
     def assert_pred_same():
-        assert trainer.global_step == real_global_step and trainer.global_step > 0
+        assert trainer.current_epoch == real_global_epoch and trainer.real_global_epoch > 0
 
         # predict with loaded model to make sure answers are the same
         trainer.model.eval()