remove deprecated model hooks

docs/source/hooks.rst

@@ -40,15 +40,13 @@ Training loop
 ^^^^^^^^^^^^^
 
 - :meth:`~pytorch_lightning.core.hooks.ModelHooks.on_epoch_start`
-- :meth:`~pytorch_lightning.core.hooks.ModelHooks.on_batch_start`
 - :meth:`~pytorch_lightning.core.lightning.LightningModule.tbptt_split_batch`
 - :meth:`~pytorch_lightning.core.lightning.LightningModule.training_step`
 - :meth:`~pytorch_lightning.core.lightning.LightningModule.training_step_end` (optional)
 - :meth:`~pytorch_lightning.core.hooks.ModelHooks.on_before_zero_grad`
 - :meth:`~pytorch_lightning.core.hooks.ModelHooks.backward`
 - :meth:`~pytorch_lightning.core.hooks.ModelHooks.on_after_backward`
 - ``optimizer.step()``
-- :meth:`~pytorch_lightning.core.hooks.ModelHooks.on_batch_end`
 - :meth:`~pytorch_lightning.core.lightning.LightningModule.training_epoch_end`
 - :meth:`~pytorch_lightning.core.hooks.ModelHooks.on_epoch_end`
 

pytorch_lightning/core/hooks.py

@@ -209,27 +209,6 @@ def on_test_model_train(self) -> None:
         """
         self.train()
 
-    def on_batch_start(self, batch: Any) -> None:
-        """
-        Called in the training loop before anything happens for that batch.
-
-        If you return -1 here, you will skip training for the rest of the current epoch.
-
-        Args:
-            batch: The batched data as it is returned by the training DataLoader.
-
-        .. warning:: Deprecated in 0.9.0 will remove 1.0.0 (use `on_train_batch_start` instead)
-        """
-        # do something when the batch starts
-
-    def on_batch_end(self) -> None:
-        """
-        Called in the training loop after the batch.
-
-        .. warning:: Deprecated in 0.9.0 will remove 1.0.0 (use `on_train_batch_end` instead)
-        """
-        # do something when the batch ends
-
     def on_epoch_start(self) -> None:
         """
         Called in the training loop at the very beginning of the epoch.

pytorch_lightning/core/lightning.py

@@ -685,13 +685,6 @@ def validation_epoch_end(self, val_step_outputs):
             See the :ref:`multi_gpu` guide for more details.
         """
 
-    def validation_end(self, outputs):
-        """
-        Warnings:
-            Deprecated in v0.7.0. Use :meth:`validation_epoch_end` instead.
-            Will be removed in 1.0.0.
-        """
-
     def validation_epoch_end(
         self, outputs: List[Any]
     ) -> None:
@@ -868,13 +861,6 @@ def test_epoch_end(self, output_results):
             See the :ref:`multi_gpu` guide for more details.
         """
 
-    def test_end(self, outputs):
-        """
-        Warnings:
-             Deprecated in v0.7.0. Use :meth:`test_epoch_end` instead.
-             Will be removed in 1.0.0.
-        """
-
     def test_epoch_end(
         self, outputs: List[Any]
     ) -> None:
@@ -1288,24 +1274,6 @@ def get_progress_bar_dict(self):
 
         return tqdm_dict
 
-    def get_tqdm_dict(self) -> Dict[str, Union[int, str]]:
-        """
-        Additional items to be displayed in the progress bar.
-
-        Return:
-            Dictionary with the items to be displayed in the progress bar.
-
-        Warning:
-            Deprecated since v0.7.3.
-            Use :meth:`get_progress_bar_dict` instead.
-        """
-        rank_zero_warn(
-            "`get_tqdm_dict` was renamed to `get_progress_bar_dict` in v0.7.3"
-            " and this method will be removed in v1.0.0",
-            DeprecationWarning,
-        )
-        return self.get_progress_bar_dict()
-
     @classmethod
     def _auto_collect_arguments(cls, frame=None) -> Tuple[Dict, Dict]:
         """"""

tests/test_deprecated.py

@@ -52,32 +52,3 @@ def test_dataloader(self):
 
     def test_end(self, outputs):
         return {'test_loss': torch.tensor(0.7)}
-
-
-# def test_tbd_remove_in_v1_0_0_model_hooks():
-#
-#     model = ModelVer0_6()
-#
-#     with pytest.deprecated_call(match='will be removed in v1.0. Use `test_epoch_end` instead'):
-#         trainer = Trainer(logger=False)
-#         trainer.test(model)
-#     assert trainer.logger_connector.callback_metrics == {'test_loss': torch.tensor(0.6)}
-#
-#     with pytest.deprecated_call(match='will be removed in v1.0. Use `validation_epoch_end` instead'):
-#         trainer = Trainer(logger=False)
-#         # TODO: why `dataloder` is required if it is not used
-#         result = trainer._evaluate(model, dataloaders=[[None]], max_batches=1)
-#     assert result[0] == {'val_loss': torch.tensor(0.6)}
-#
-#     model = ModelVer0_7()
-#
-#     with pytest.deprecated_call(match='will be removed in v1.0. Use `test_epoch_end` instead'):
-#         trainer = Trainer(logger=False)
-#         trainer.test(model)
-#     assert trainer.logger_connector.callback_metrics == {'test_loss': torch.tensor(0.7)}
-#
-#     with pytest.deprecated_call(match='will be removed in v1.0. Use `validation_epoch_end` instead'):
-#         trainer = Trainer(logger=False)
-#         # TODO: why `dataloder` is required if it is not used
-#         result = trainer._evaluate(model, dataloaders=[[None]], max_batches=1)
-#     assert result[0] == {'val_loss': torch.tensor(0.7)}