cleaned docs, fixed argparse generator (#1075)

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Test deprecated API for 0.8.0 and 0.9.0 (#1071)

* till 0.8

* refactor

* fix tests

* fix tests

* deprx till 0.9

* Update trainer.py

* Apply suggestions from code review

Co-authored-by: William Falcon <waf2107@columbia.edu>

* updated test

* updated test

* updated test

* updated test

* updated test

* updated test

* updated test

* updated test

* updated test

* updated test

* updated test

* updated test

* updated test

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

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.