make evaluate private (Lightning-AI#1260)

* make evaluate private

* changelog

CHANGELOG.md

@@ -21,7 +21,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Changed
 
--
+- Made `evalaute` method private >> `Trainer._evaluate(...)`. ([#1260](https://github.com/PyTorchLightning/pytorch-lightning/pull/1260))
 
 ### Deprecated
 

pytorch_lightning/trainer/evaluation_loop.py

@@ -217,7 +217,7 @@ def reset_test_dataloader(self, *args):
     def reset_val_dataloader(self, *args):
         """Warning: this is just empty shell for code implemented in other class."""
 
-    def evaluate(self, model: LightningModule, dataloaders, max_batches: int, test_mode: bool = False):
+    def _evaluate(self, model: LightningModule, dataloaders, max_batches: int, test_mode: bool = False):
         """Run evaluation code.
 
         Args:
@@ -365,7 +365,7 @@ def run_evaluation(self, test_mode: bool = False):
         setattr(self, f'{"test" if test_mode else "val"}_progress_bar', pbar)
 
         # run evaluation
-        eval_results = self.evaluate(self.model, dataloaders, max_batches, test_mode)
+        eval_results = self._evaluate(self.model, dataloaders, max_batches, test_mode)
         _, prog_bar_metrics, log_metrics, callback_metrics, _ = self.process_output(
             eval_results)
 

pytorch_lightning/trainer/trainer.py

@@ -894,10 +894,10 @@ def run_pretrain_routine(self, model: LightningModule):
             # dummy validation progress bar
             self.val_progress_bar = tqdm(disable=True)
 
-            eval_results = self.evaluate(model,
-                                         self.val_dataloaders,
-                                         self.num_sanity_val_steps,
-                                         False)
+            eval_results = self._evaluate(model,
+                                          self.val_dataloaders,
+                                          self.num_sanity_val_steps,
+                                          False)
             _, _, _, callback_metrics, _ = self.process_output(eval_results)
 
             # close progress bars

tests/test_deprecated.py

@@ -95,7 +95,7 @@ def test_tbd_remove_in_v1_0_0_model_hooks():
 
     trainer = Trainer(logger=False)
     # TODO: why `dataloder` is required if it is not used
-    result = trainer.evaluate(model, dataloaders=[[None]], max_batches=1)
+    result = trainer._evaluate(model, dataloaders=[[None]], max_batches=1)
     assert result == {'val_loss': 0.6}
 
     model = ModelVer0_7(hparams)
@@ -106,5 +106,5 @@ def test_tbd_remove_in_v1_0_0_model_hooks():
 
     trainer = Trainer(logger=False)
     # TODO: why `dataloder` is required if it is not used
-    result = trainer.evaluate(model, dataloaders=[[None]], max_batches=1)
+    result = trainer._evaluate(model, dataloaders=[[None]], max_batches=1)
     assert result == {'val_loss': 0.7}