Deprecate progress_bar_refresh_rate from Trainer constructor

CHANGELOG.md

@@ -252,6 +252,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Deprecated `LightningLoggerBase.close`, `LoggerCollection.close` in favor of `LightningLoggerBase.finalize`, `LoggerCollection.finalize` ([#9422](https://github.com/PyTorchLightning/pytorch-lightning/pull/9422))
 
 
+- Deprecated passing `progress_bar_refresh_rate` to the `Trainer` constructor in favor of adding the `ProgressBar` callback with `refresh_rate` directly to the list of callbacks ([#9616](https://github.com/PyTorchLightning/pytorch-lightning/pull/9616))
+
 
 ### Removed
 

pytorch_lightning/trainer/connectors/callback_connector.py

@@ -74,6 +74,14 @@ def on_trainer_init(
                 " in v1.7. Please pass `pytorch_lightning.callbacks.progress.ProgressBar` with"
                 " `process_position` directly to the Trainer's `callbacks` argument instead."
             )
+
+        if progress_bar_refresh_rate is not None:
+            rank_zero_deprecation(
+                f"Setting `Trainer(progress_bar_refresh_rate={progress_bar_refresh_rate})` is deprecated in v1.5 and"
+                " will be removed in v1.7. Please pass `pytorch_lightning.callbacks.progress.ProgressBar` with"
+                " `refresh_rate` directly to the Trainer's `callbacks` argument instead."
+            )
+
         self.trainer._progress_bar_callback = self.configure_progress_bar(progress_bar_refresh_rate, process_position)
 
         # configure the ModelSummary callback

pytorch_lightning/trainer/trainer.py

@@ -137,7 +137,7 @@ def __init__(
         tpu_cores: Optional[Union[List[int], str, int]] = None,
         ipus: Optional[int] = None,
         log_gpu_memory: Optional[str] = None,
-        progress_bar_refresh_rate: Optional[int] = None,
+        progress_bar_refresh_rate: Optional[int] = None,  # TODO: remove in v1.7
         overfit_batches: Union[int, float] = 0.0,
         track_grad_norm: Union[int, float, str] = -1,
         check_val_every_n_epoch: int = 1,
@@ -284,6 +284,11 @@ def __init__(
                 Ignored when a custom progress bar is passed to :paramref:`~Trainer.callbacks`. Default: None, means
                 a suitable value will be chosen based on the environment (terminal, Google COLAB, etc.).
 
+                .. deprecated:: v1.5
+                    ``progress_bar_refresh_rate`` has been deprecated in v1.5 and will be removed in v1.7.
+                    Please pass :class:`~pytorch_lightning.callbacks.progress.ProgressBar` with ``refresh_rate``
+                    directly to the Trainer's ``callbacks`` argument instead.
+
             profiler: To profile individual steps during training and assist in identifying bottlenecks.
 
             overfit_batches: Overfit a fraction of training data (float) or a set number of batches (int).

tests/deprecated_api/test_remove_1-7.py

@@ -227,6 +227,11 @@ def test_v1_7_0_deprecate_add_get_queue(tmpdir):
         trainer.fit(model)
 
 
+def test_v1_7_0_progress_bar_refresh_rate_trainer_constructor(tmpdir):
+    with pytest.deprecated_call(match=r"Setting `Trainer\(progress_bar_refresh_rate=1\)` is deprecated in v1.5"):
+        _ = Trainer(progress_bar_refresh_rate=1)
+
+
 def test_v1_7_0_lightning_logger_base_close(tmpdir):
     logger = CustomLogger()
     with pytest.deprecated_call(