fix typos in validation_step and test_step docs (#5438)

* fixed docs in lightning.py

* few more

Co-authored-by: Rohit Gupta <[email protected]>
Co-authored-by: Nicki Skafte <[email protected]>

Author: 3 people

pytorch_lightning/core/lightning.py

@@ -621,14 +621,14 @@ def validation_step(self, *args, **kwargs):
             for val_batch in val_data:
                 out = validation_step(val_batch)
                 val_outs.append(out)
-                validation_epoch_end(val_outs)
+            validation_epoch_end(val_outs)
 
         Args:
             batch (:class:`~torch.Tensor` | (:class:`~torch.Tensor`, ...) | [:class:`~torch.Tensor`, ...]):
                 The output of your :class:`~torch.utils.data.DataLoader`. A tensor, tuple or list.
             batch_idx (int): The index of this batch
             dataloader_idx (int): The index of the dataloader that produced this batch
-                (only if multiple val datasets used)
+                (only if multiple val dataloaders used)
 
         Return:
            Any of.
@@ -677,11 +677,11 @@ def validation_step(self, batch, batch_idx):
                     # log the outputs!
                     self.log_dict({'val_loss': loss, 'val_acc': val_acc})
 
-            If you pass in multiple val datasets, validation_step will have an additional argument.
+            If you pass in multiple val dataloaders, :meth:`validation_step` will have an additional argument.
 
             .. code-block:: python
 
-                # CASE 2: multiple validation datasets
+                # CASE 2: multiple validation dataloaders
                 def validation_step(self, batch, batch_idx, dataloader_idx):
                     # dataloader_idx tells you which dataset this is.
 
@@ -813,7 +813,7 @@ def test_step(self, *args, **kwargs):
                 The output of your :class:`~torch.utils.data.DataLoader`. A tensor, tuple or list.
             batch_idx (int): The index of this batch.
             dataloader_idx (int): The index of the dataloader that produced this batch
-                (only if multiple test datasets used).
+                (only if multiple test dataloaders used).
 
         Return:
            Any of.
@@ -853,17 +853,17 @@ def test_step(self, batch, batch_idx):
                     # log the outputs!
                     self.log_dict({'test_loss': loss, 'test_acc': test_acc})
 
-            If you pass in multiple validation datasets, :meth:`test_step` will have an additional
+            If you pass in multiple test dataloaders, :meth:`test_step` will have an additional
             argument.
 
             .. code-block:: python
 
-                # CASE 2: multiple test datasets
+                # CASE 2: multiple test dataloaders
                 def test_step(self, batch, batch_idx, dataloader_idx):
                     # dataloader_idx tells you which dataset this is.
 
         Note:
-            If you don't need to validate you don't need to implement this method.
+            If you don't need to test you don't need to implement this method.
 
         Note:
             When the :meth:`test_step` is called, the model has been put in eval mode and