pep8

Author: Borda

pytorch_lightning/callbacks/model_checkpoint.py

@@ -472,7 +472,7 @@ def _add_backward_monitor_support(self, trainer):
 
         if deprecation_warning:
             warning_cache.warn(
-                f"Relying on `self.log('val_loss', ...)` to set the ModelCheckpoint monitor is deprecated in v1.2"
+                "Relying on `self.log('val_loss', ...)` to set the ModelCheckpoint monitor is deprecated in v1.2"
                 " and will be removed in v1.4. Please, create your own `mc = ModelCheckpoint(monitor='your_monitor')`"
                 " and use it as `Trainer(callbacks=[mc])`.", DeprecationWarning
             )

pytorch_lightning/trainer/connectors/data_connector.py

@@ -96,7 +96,7 @@ def attach_dataloaders(
         train_dataloader=None,
         val_dataloaders=None,
         test_dataloaders=None,
-        predict_dataloaders=None
+        predict_dataloaders=None,
     ):
         # when dataloader is passed via fit, patch the train_dataloader
         # functions to overwrite with these implementations

tests/deprecated_api/test_remove_1-4.py

@@ -222,6 +222,7 @@ def test_v1_4_0_deprecated_checkpoint_on(tmpdir):
     warning_cache.clear()
 
     class TestModel(BoringModel):
+
         def training_step(self, batch, batch_idx):
             self.log("val_loss", -batch_idx)
             return super().training_step(batch, batch_idx)