Missing profiler attribute in add_argparse_args() ArgumentParser (#1794)

* Fixed typing annotation by adding boolean type. After that Profiler flag will be added to argparse.

* Updated CHANGELOG.md

* Updated git_init_arguments_and_types() to pass doctests.

* Added doctest example to add_argparse_parser()

CHANGELOG.md

@@ -62,6 +62,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Fixed saving native AMP scaler state (introduced in [#1561](https://github.com/PyTorchLightning/pytorch-lightning/pull/1561))
 
+- Fixed missing profiler attribute in add_argparse_args() ArgumentParser ([#1794](https://github.com/PyTorchLightning/pytorch-lightning/pull/1794))
+
 
 ## [0.7.5] - 2020-04-27
 

pytorch_lightning/trainer/trainer.py

@@ -124,7 +124,7 @@ class Trainer(
             num_sanity_val_steps: int = 5,
             truncated_bptt_steps: Optional[int] = None,
             resume_from_checkpoint: Optional[str] = None,
-            profiler: Optional[BaseProfiler] = None,
+            profiler: Optional[Union[BaseProfiler, bool]] = None,
             benchmark: bool = False,
             deterministic: bool = False,
             reload_dataloaders_every_epoch: bool = False,
@@ -584,6 +584,7 @@ class Trainer(
              ('process_position', (<class 'int'>,), 0),
              ('profiler',
               (<class 'pytorch_lightning.profiler.profilers.BaseProfiler'>,
+               <class 'bool'>,
                <class 'NoneType'>),
               None),
              ...
@@ -622,6 +623,32 @@ class Trainer(
 
         Only arguments of the allowed types (str, float, int, bool) will
         extend the `parent_parser`.
+
+        Examples:
+            >>> import argparse
+            >>> import pprint
+            >>> parser = argparse.ArgumentParser()
+            >>> parser = Trainer.add_argparse_args(parser)
+            >>> args = parser.parse_args([])
+            >>> pprint.pprint(vars(args))  # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
+            {...
+             'check_val_every_n_epoch': 1,
+             'checkpoint_callback': True,
+             'default_root_dir': None,
+             'distributed_backend': None,
+             'early_stop_callback': False,
+             ...
+             'logger': True,
+             'max_epochs': 1000,
+             'max_steps': None,
+             'min_epochs': 1,
+             'min_steps': None,
+             ...
+             'profiler': None,
+             'progress_bar_callback': True,
+             'progress_bar_refresh_rate': 1,
+             ...}
+
         """
         parser = ArgumentParser(parents=[parent_parser], add_help=False, )