Remove the deprecated LightningCLI arguments (#16380)

examples/pl_basics/autoencoder.py

@@ -178,9 +178,9 @@ def cli_main():
         LitAutoEncoder,
         MyDataModule,
         seed_everything_default=1234,
-        save_config_overwrite=True,
         run=False,  # used to de-activate automatic fitting.
         trainer_defaults={"callbacks": ImageSampler(), "max_epochs": 10},
+        save_config_kwargs={"overwrite": True},
     )
     cli.trainer.fit(cli.model, datamodule=cli.datamodule)
     cli.trainer.test(ckpt_path="best", datamodule=cli.datamodule)

src/pytorch_lightning/CHANGELOG.md

@@ -41,6 +41,14 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Removed the deprecated `pytorch_lightning.profiler` module ([#16359](https://github.com/Lightning-AI/lightning/pull/16359))
 
+- Removed the deprecated `LightningCLI` arguments ([#16380](https://github.com/Lightning-AI/lightning/pull/16380))
+  * save_config_filename
+  * save_config_overwrite
+  * save_config_multifile
+  * description
+  * env_prefix
+  * env_parse
+
 - Removed the deprecated automatic GPU selection ([#16184](https://github.com/Lightning-AI/lightning/pull/16184))
   * Removed the `Trainer(auto_select_gpus=...)` argument
   * Removed the `pytorch_lightning.tuner.auto_gpu_select.{pick_single_gpu,pick_multiple_gpus}` functions

src/pytorch_lightning/cli.py

@@ -28,7 +28,7 @@
 from pytorch_lightning import Callback, LightningDataModule, LightningModule, seed_everything, Trainer
 from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from pytorch_lightning.utilities.model_helpers import is_overridden
-from pytorch_lightning.utilities.rank_zero import rank_zero_deprecation, rank_zero_warn
+from pytorch_lightning.utilities.rank_zero import rank_zero_warn
 
 _JSONARGPARSE_SIGNATURES_AVAILABLE = RequirementCache("jsonargparse[signatures]>=4.17.0")
 
@@ -279,7 +279,6 @@ def __init__(
         args: ArgsType = None,
         run: bool = True,
         auto_configure_optimizers: bool = True,
-        **kwargs: Any,  # Remove with deprecations of v2.0.0
     ) -> None:
         """Receives as input pytorch-lightning classes (or callables which return pytorch-lightning classes), which
         are called / instantiated using a parsed configuration file and / or command line args.
@@ -331,8 +330,6 @@ def __init__(
         self.parser_kwargs = parser_kwargs or {}  # type: ignore[var-annotated]  # github.com/python/mypy/issues/6463
         self.auto_configure_optimizers = auto_configure_optimizers
 
-        self._handle_deprecated_params(kwargs)
-
         self.model_class = model_class
         # used to differentiate between the original value and the processed value
         self._model_class = model_class or LightningModule
@@ -357,28 +354,6 @@ def __init__(
         if self.subcommand is not None:
             self._run_subcommand(self.subcommand)
 
-    def _handle_deprecated_params(self, kwargs: dict) -> None:
-        for name in kwargs.keys() & ["save_config_filename", "save_config_overwrite", "save_config_multifile"]:
-            value = kwargs.pop(name)
-            key = name.replace("save_config_", "").replace("filename", "config_filename")
-            self.save_config_kwargs[key] = value
-            rank_zero_deprecation(
-                f"LightningCLI's {name!r} init parameter is deprecated from v1.8 and will "
-                f"be removed in v2.0.0. Use `save_config_kwargs={{'{key}': ...}}` instead."
-            )
-
-        for name in kwargs.keys() & ["description", "env_prefix", "env_parse"]:
-            value = kwargs.pop(name)
-            key = name.replace("env_parse", "default_env")
-            self.parser_kwargs[key] = value
-            rank_zero_deprecation(
-                f"LightningCLI's {name!r} init parameter is deprecated from v1.9 and will "
-                f"be removed in v2.0. Use `parser_kwargs={{'{key}': ...}}` instead."
-            )
-
-        if kwargs:
-            raise ValueError(f"Unexpected keyword parameters: {kwargs}")
-
     def _setup_parser_kwargs(self, parser_kwargs: Dict[str, Any]) -> Tuple[Dict[str, Any], Dict[str, Any]]:
         subcommand_names = self.subcommands().keys()
         main_kwargs = {k: v for k, v in parser_kwargs.items() if k not in subcommand_names}

tests/tests_pytorch/deprecated_api/test_remove_2-0.py

@@ -22,7 +22,6 @@
 
 from pytorch_lightning import Trainer
 from pytorch_lightning.accelerators.cpu import CPUAccelerator
-from pytorch_lightning.cli import LightningCLI
 from pytorch_lightning.core.mixins.device_dtype_mixin import DeviceDtypeModuleMixin
 from pytorch_lightning.demos.boring_classes import BoringModel, RandomDataset
 from pytorch_lightning.overrides import LightningDistributedModule, LightningParallelModule
@@ -68,15 +67,6 @@
 from tests_pytorch.helpers.runif import RunIf
 
 
-@pytest.mark.parametrize(
-    ["name", "value"],
-    [("description", "description"), ("env_prefix", "PL"), ("env_parse", False)],
-)
-def test_lightningCLI_parser_init_params_deprecation_warning(name, value):
-    with mock.patch("sys.argv", ["any.py"]), pytest.deprecated_call(match=f".*{name!r} init parameter is deprecated.*"):
-        LightningCLI(BoringModel, run=False, **{name: value})
-
-
 @pytest.mark.parametrize(
     "wrapper_class",
     [
@@ -281,15 +271,6 @@ def test_v1_10_deprecated_accelerator_setup_environment_method():
         CPUAccelerator().setup_environment(torch.device("cpu"))
 
 
-@pytest.mark.parametrize(
-    ["name", "value"],
-    [("save_config_filename", "config.yaml"), ("save_config_overwrite", False), ("save_config_multifile", False)],
-)
-def test_lightningCLI_save_config_init_params_deprecation_warning(name, value):
-    with mock.patch("sys.argv", ["any.py"]), pytest.deprecated_call(match=f".*{name!r} init parameter is deprecated.*"):
-        LightningCLI(BoringModel, run=False, **{name: value})
-
-
 def test_tuning_enum():
     with pytest.deprecated_call(
         match="`TrainerFn.TUNING` has been deprecated in v1.8.0 and will be removed in v2.0.0."