cleaned docs, fixed argparse generator

docs/source/hyperparameters.rst

@@ -19,6 +19,10 @@ modify the network. The `Trainer` can add all the available options to an Argume
     parser.add_argument('--layer_1_dim', type=int, default=128)
     parser.add_argument('--layer_2_dim', type=int, default=256)
     parser.add_argument('--batch_size', type=int, default=64)
+
+    # add all the available options to the trainer
+    parser = pl.Trainer.add_argparse_args(parser)
+
     args = parser.parse_args()
 
 Now we can parametrize the LightningModule.

docs/source/introduction_guide.rst

@@ -588,8 +588,12 @@ modify the network. The `Trainer` can add all the available options to an Argume
 
     # parametrize the network
     parser.add_argument('--layer_1_dim', type=int, default=128)
-    parser.add_argument('--layer_1_dim', type=int, default=256)
+    parser.add_argument('--layer_2_dim', type=int, default=256)
     parser.add_argument('--batch_size', type=int, default=64)
+
+    # add all the available options to the trainer
+    parser = pl.Trainer.add_argparse_args(parser)
+
     args = parser.parse_args()
 
 Now we can parametrize the LightningModule.

pytorch_lightning/trainer/deprecated_api.py

@@ -75,13 +75,15 @@ def min_nb_epochs(self, min_epochs):
     @property
     def nb_sanity_val_steps(self):
         """Back compatibility, will be removed in v0.8.0"""
-        warnings.warn("Attribute `nb_sanity_val_steps` has renamed to `num_sanity_val_steps` since v0.5.0"
+        warnings.warn("Attribute `nb_sanity_val_steps` has renamed to "
+                      "`num_sanity_val_steps` since v0.5.0"
                       " and this method will be removed in v0.8.0", DeprecationWarning)
         return self.num_sanity_val_steps
 
     @nb_sanity_val_steps.setter
     def nb_sanity_val_steps(self, nb):
         """Back compatibility, will be removed in v0.8.0"""
-        warnings.warn("Attribute `nb_sanity_val_steps` has renamed to `num_sanity_val_steps` since v0.5.0"
+        warnings.warn("Attribute `nb_sanity_val_steps` has renamed to "
+                      "`num_sanity_val_steps` since v0.5.0"
                       " and this method will be removed in v0.8.0", DeprecationWarning)
         self.num_sanity_val_steps = nb

pytorch_lightning/trainer/trainer.py

@@ -293,7 +293,8 @@ def __init__(
         self.num_sanity_val_steps = num_sanity_val_steps
         # Backward compatibility, TODO: remove in v0.8.0
         if nb_sanity_val_steps is not None:
-            warnings.warn("Argument `nb_sanity_val_steps` has renamed to `num_sanity_val_steps` since v0.5.0"
+            warnings.warn("Argument `nb_sanity_val_steps` has renamed to "
+                          "`num_sanity_val_steps` since v0.5.0"
                           " and this method will be removed in v0.8.0", DeprecationWarning)
             self.nb_sanity_val_steps = nb_sanity_val_steps
         self.print_nan_grads = print_nan_grads
@@ -437,17 +438,32 @@ def slurm_job_id(self) -> int:
 
     @classmethod
     def default_attributes(cls):
-        return vars(cls())
+        import inspect
+
+        init_signature = inspect.signature(Trainer)
+
+        args = {}
+        for param_name in init_signature.parameters:
+            value = init_signature.parameters[param_name].default
+            args[param_name] = value
+
+        return args
 
     @classmethod
     def add_argparse_args(cls, parent_parser: ArgumentParser) -> ArgumentParser:
         """Extend existing argparse by default `Trainer` attributes."""
-        parser = ArgumentParser(parents=[parent_parser])
+        parser = ArgumentParser(parents=[parent_parser], add_help=False)
 
         trainer_default_params = Trainer.default_attributes()
 
+        # TODO: get "help" from docstring :)
         for arg in trainer_default_params:
-            parser.add_argument('--{0}'.format(arg), default=trainer_default_params[arg], dest=arg)
+            parser.add_argument(
+                f'--{arg}',
+                default=trainer_default_params[arg],
+                dest=arg,
+                help='autogenerated by pl.Trainer'
+            )
 
         return parser