Add version header to CLI config files

CHANGELOG.md

@@ -12,7 +12,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 -
 
 
--
+- Include the `pytorch_lightning` version as a header in the CLI config files ([#12532](https://github.com/PyTorchLightning/pytorch-lightning/pull/12532))
 
 
 -

pytorch_lightning/utilities/cli.py

@@ -575,6 +575,7 @@ def _setup_parser_kwargs(
 
     def init_parser(self, **kwargs: Any) -> LightningArgumentParser:
         """Method that instantiates the argument parser."""
+        kwargs.setdefault("dump_header", [f"pytorch_lightning=={pl.__version__}"])
         return LightningArgumentParser(**kwargs)
 
     def setup_parser(

pytorch_lightning/utilities/imports.py

@@ -103,7 +103,7 @@ def _compare_version(package: str, op: Callable, version: str, use_base_version:
 _HOROVOD_AVAILABLE = _module_available("horovod.torch")
 _HYDRA_AVAILABLE = _package_available("hydra")
 _HYDRA_EXPERIMENTAL_AVAILABLE = _module_available("hydra.experimental")
-_JSONARGPARSE_AVAILABLE = _package_available("jsonargparse") and _compare_version("jsonargparse", operator.ge, "4.3.0")
+_JSONARGPARSE_AVAILABLE = _package_available("jsonargparse") and _compare_version("jsonargparse", operator.ge, "4.5.0")
 _KINETO_AVAILABLE = _TORCH_GREATER_EQUAL_1_8_1 and torch.profiler.kineto_available()
 _NEPTUNE_AVAILABLE = _package_available("neptune")
 _NEPTUNE_GREATER_EQUAL_0_9 = _NEPTUNE_AVAILABLE and _compare_version("neptune", operator.ge, "0.9.0")

requirements/extra.txt

@@ -5,6 +5,6 @@ horovod>=0.21.2,!=0.24.0  # no need to install with [pytorch] as pytorch is alre
 torchtext>=0.9.*
 omegaconf>=2.0.5
 hydra-core>=1.0.5
-jsonargparse[signatures]>=4.3.0
+jsonargparse[signatures]>=4.5.0
 gcsfs>=2021.5.0
 rich>=10.2.2,!=10.15.*

tests/utilities/test_cli.py

@@ -31,7 +31,7 @@
 from torch.optim import SGD
 from torch.optim.lr_scheduler import ReduceLROnPlateau, StepLR
 
-from pytorch_lightning import Callback, LightningDataModule, LightningModule, Trainer
+from pytorch_lightning import __version__, Callback, LightningDataModule, LightningModule, Trainer
 from pytorch_lightning.callbacks import LearningRateMonitor, ModelCheckpoint
 from pytorch_lightning.loggers import LightningLoggerBase, TensorBoardLogger
 from pytorch_lightning.plugins.environments import SLURMEnvironment
@@ -458,7 +458,11 @@ def test_lightning_cli_print_config():
     with mock.patch("sys.argv", cli_args), redirect_stdout(out), pytest.raises(SystemExit):
         any_model_any_data_cli()
 
-    outval = yaml.safe_load(out.getvalue())
+    text = out.getvalue()
+    # test dump_header
+    assert text.startswith(f"# pytorch_lightning=={__version__}")
+
+    outval = yaml.safe_load(text)
     assert outval["seed_everything"] == 1234
     assert outval["model"]["class_path"] == "tests.helpers.BoringModel"
     assert outval["data"]["class_path"] == "tests.helpers.BoringDataModule"