removed hparams assignment example (#7639)

docs/source/common/hyperparameters.rst

@@ -152,23 +152,7 @@ improve readability and reproducibility.
  model = LitMNIST.load_from_checkpoint(PATH, loss_fx=torch.nn.SomeOtherLoss, generator_network=MyGenerator())
 
 
-3. Assign to `self.hparams`. Anything assigned to `self.hparams` will also be saved automatically.
-
- .. code-block:: python
-
- # using a argparse.Namespace
- class LitMNIST(LightningModule):
- def __init__(self, hparams, *args, **kwargs):
- super().__init__()
- self.hparams = hparams
- self.layer_1 = nn.Linear(28 * 28, self.hparams.layer_1_dim)
- self.layer_2 = nn.Linear(self.hparams.layer_1_dim, self.hparams.layer_2_dim)
- self.layer_3 = nn.Linear(self.hparams.layer_2_dim, 10)
- def train_dataloader(self):
- return DataLoader(mnist_train, batch_size=self.hparams.batch_size)
-
-
-4. You can also save full objects such as `dict` or `Namespace` to the checkpoint.
+3. You can also save full objects such as `dict` or `Namespace` to the checkpoint.
 
  .. code-block:: python