change to misconfig exception

pytorch_lightning/trainer/configuration_validator.py

@@ -41,7 +41,7 @@ def verify_loop_configurations(trainer: "pl.Trainer", model: "pl.LightningModule
         __verify_predict_loop_configuration(model)
     __verify_dp_batch_transfer_support(trainer, model)
     _check_add_get_queue(model)
-    # TODO(@daniellepintz): Delete _check_progress_bar in v1.7
+    # TODO: Delete _check_progress_bar in v1.7
     _check_progress_bar(model)
     # TODO: Delete _check_on_post_move_to_device in v1.7
     _check_on_post_move_to_device(model)
@@ -151,9 +151,9 @@ def __verify_eval_loop_configuration(model: "pl.LightningModule", stage: str) ->
     has_step = is_overridden(step_name, model)
 
     if has_loader and not has_step:
-        rank_zero_warn(f"you passed in a {loader_name} but have no {step_name}. Skipping {stage} loop")
+        MisconfigurationException(f"You defined `{loader_name}` but have not defined `{step_name}` on your Lightning Module.")
     if has_step and not has_loader:
-        rank_zero_warn(f"you defined a {step_name} but have no {loader_name}. Skipping {stage} loop")
+        MisconfigurationException(f"You defined `{step_name}` but have not defined `{loader_name}` on your Lighning Module.")
 
     # ----------------------------------------------
     # verify model does not have
@@ -178,7 +178,7 @@ def __verify_eval_loop_configuration(model: "pl.LightningModule", stage: str) ->
 def __verify_predict_loop_configuration(model: "pl.LightningModule") -> None:
     has_predict_dataloader = is_overridden("predict_dataloader", model)
     if not has_predict_dataloader:
-        raise MisconfigurationException("Dataloader not found for `Trainer.predict`")
+        raise MisconfigurationException("Please define `predict_dataloader` on your Lightning Module")
     # ----------------------------------------------
     # verify model does not have
     # - on_predict_dataloader