Remove the deprecated get_progress_bar_dict

pytorch_lightning/callbacks/progress/base.py

@@ -220,7 +220,7 @@ def get_metrics(self, trainer, model):
         Return:
             Dictionary with the items to be displayed in the progress bar.
         """
-        standard_metrics = pl_module.get_progress_bar_dict()
+        standard_metrics = get_standard_metrics(trainer, pl_module)
         pbar_metrics = trainer.progress_bar_metrics
         duplicates = list(standard_metrics.keys() & pbar_metrics.keys())
         if duplicates:

pytorch_lightning/core/lightning.py

@@ -1731,35 +1731,6 @@ def unfreeze(self) -> None:
 
         self.train()
 
-    def get_progress_bar_dict(self) -> Dict[str, Union[int, str]]:
-        r"""
-        .. deprecated:: v1.5
-            This method was deprecated in v1.5 in favor of
-            `pytorch_lightning.callbacks.progress.base.get_metrics` and will be removed in v1.7.
-
-        Implement this to override the default items displayed in the progress bar.
-        By default it includes the average loss value, split index of BPTT (if used)
-        and the version of the experiment when using a logger.
-
-        .. code-block::
-
-            Epoch 1:   4%|▎         | 40/1095 [00:03<01:37, 10.84it/s, loss=4.501, v_num=10]
-
-        Here is an example how to override the defaults:
-
-        .. code-block:: python
-
-            def get_progress_bar_dict(self):
-                # don't show the version number
-                items = super().get_progress_bar_dict()
-                items.pop("v_num", None)
-                return items
-
-        Return:
-            Dictionary with the items to be displayed in the progress bar.
-        """
-        return progress_base.get_standard_metrics(self.trainer, self)
-
     def _verify_is_manual_optimization(self, fn_name):
         if self.automatic_optimization:
             raise MisconfigurationException(

pytorch_lightning/trainer/configuration_validator.py

@@ -146,7 +146,6 @@ def __verify_train_val_loop_configuration(trainer: "pl.Trainer", model: "pl.Ligh
 def _check_progress_bar(model: "pl.LightningModule") -> None:
     r"""
     Checks if get_progress_bar_dict is overridden and sends a deprecation warning.
-
     Args:
         model: The model to check the get_progress_bar_dict method.
     """

tests/deprecated_api/test_remove_1-7.py

@@ -47,28 +47,6 @@ def test_v1_7_0_datamodule_transform_properties(tmpdir):
         _ = LightningDataModule(val_transforms="b")
 
 
-def test_v1_7_0_moved_get_progress_bar_dict(tmpdir):
-    class TestModel(BoringModel):
-        def get_progress_bar_dict(self):
-            items = super().get_progress_bar_dict()
-            items.pop("v_num", None)
-            return items
-
-    trainer = Trainer(
-        default_root_dir=tmpdir,
-        fast_dev_run=True,
-    )
-    test_model = TestModel()
-    with pytest.deprecated_call(match=r"`LightningModule.get_progress_bar_dict` method was deprecated in v1.5"):
-        trainer.fit(test_model)
-    standard_metrics_postfix = trainer.progress_bar_callback.main_progress_bar.postfix
-    assert "loss" in standard_metrics_postfix
-    assert "v_num" not in standard_metrics_postfix
-
-    with pytest.deprecated_call(match=r"`trainer.progress_bar_dict` is deprecated in v1.5"):
-        _ = trainer.progress_bar_dict
-
-
 def test_v1_7_0_deprecated_on_task_dataloader(tmpdir):
     class CustomBoringModel(BoringModel):
         def on_train_dataloader(self):

tests/trainer/logging_/test_logger_connector.py

@@ -194,7 +194,6 @@ def __init__(self, not_supported):
                 "on_before_batch_transfer",
                 "transfer_batch_to_device",
                 "on_after_batch_transfer",
-                "get_progress_bar_dict",
             }
         )
         # remove `nn.Module` hooks