fix tutorials latex and links (#261)

docs/source/_rst/tutorials/tutorial8/tutorial.rst

@@ -1,4 +1,4 @@
-Tutorial 8: Reduced order model (PODNN) for parametric problems
+Tutorial: Reduced order model (PODNN) for parametric problems
 ===============================================================
 
 The tutorial aims to show how to employ the **PINA** library in order to
@@ -73,17 +73,6 @@ reference solution: this is the expected output of the neural network.
         ax.set_title(f'$\mu$ = {p[0]:.2f}')
 
 
-.. parsed-literal::
-
-    Epoch 0:   0%|          | 0/5 [48:45<?, ?it/s]
-    Epoch 0:   0%|          | 0/5 [46:33<?, ?it/s]
-    Epoch 0:   0%|          | 0/5 [46:17<?, ?it/s]
-    Epoch 0:   0%|          | 0/5 [44:52<?, ?it/s]
-    Epoch 0:   0%|          | 0/5 [43:41<?, ?it/s]
-    Epoch 0:   0%|          | 0/5 [43:01<?, ?it/s]
-
-
-
 .. image:: tutorial_files/tutorial_5_1.png
 
 
@@ -205,28 +194,6 @@ the model and use it for predict the test snapshots.
     trainer.train()
 
 
-.. parsed-literal::
-
-    GPU available: False, used: False
-    TPU available: False, using: 0 TPU cores
-    IPU available: False, using: 0 IPUs
-    HPU available: False, using: 0 HPUs
-    
-      | Name        | Type    | Params
-    ----------------------------------------
-    0 | _loss       | MSELoss | 0     
-    1 | _neural_net | Network | 460   
-    ----------------------------------------
-    460       Trainable params
-    0         Non-trainable params
-    460       Total params
-    0.002     Total estimated model params size (MB)
-
-
-.. parsed-literal::
-
-    Epoch 999: 100%|██████████| 5/5 [00:00<00:00, 286.50it/s, v_num=20, mean_loss=0.902]
-
 .. parsed-literal::
 
     `Trainer.fit` stopped: `max_epochs=1000` reached.