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LightningModule/RequiredTrainerInterface/index.html

@@ -925,8 +925,9 @@ from torchvision.datasets import MNIST
 class CoolModel(ptl.LightningModule):
 
     def __init(self):
+        super(CoolModel, self).__init__()
         # not the best model...
-        self.l1 = torch.nn.Linear(28*28, 10)
+        self.l1 = torch.nn.Linear(28 * 28, 10)
 
     def forward(self, x):
         return torch.relu(self.l1(x))
@@ -961,7 +962,7 @@ class CoolModel(ptl.LightningModule):
 
     @ptl.data_loader
     def test_dataloader(self):
-        return DataLoader(MNIST('path/to/save', train=False), batch_size=32)   
+        return DataLoader(MNIST('path/to/save', train=False), batch_size=32)
 </code></pre>
 
 <hr />

index.html

@@ -661,8 +661,8 @@
 <ol>
 <li><a href="/LightningModule/RequiredTrainerInterface/">Define a LightningModule</a> </li>
 <li>Pick a trainer      <ul>
-<li><a href="https://github.com/williamFalcon/pytorch-lightning/blob/master/examples/new_project_templates/trainer_cpu_template.py">Basic CPU Trainer</a> </li>
-<li><a href="https://github.com/williamFalcon/pytorch-lightning/blob/master/examples/new_project_templates/trainer_gpu_cluster_template.py">GPU cluster Trainer</a></li>
+<li><a href="https://github.com/williamFalcon/pytorch-lightning/blob/master/pytorch_lightning/examples/new_project_templates/single_cpu_template.py">Basic CPU Trainer</a> </li>
+<li><a href="https://github.com/williamFalcon/pytorch-lightning/blob/master/pytorch_lightning/examples/new_project_templates/multi_node_cluster_template.py">GPU cluster Trainer</a></li>
 </ul>
 </li>
 </ol>