Fix SupervisedSolver GPU bug and implement GraphSolver (#346)

* Fix some bugs
* Solve bug with GPU and model_summary parameters in SupervisedSolver class
* Implement GraphSolver class
* Fix Tutorial 5

pina/data/pina_dataloader.py

@@ -4,6 +4,7 @@ from .sample_dataset import SamplePointDataset
 from .data_dataset import DataPointDataset
 from .pina_batch import Batch
 
+
 class SamplePointLoader:
     """
     This class is used to create a dataloader to use during the training.
@@ -95,7 +96,7 @@ class SamplePointLoader:
         self.batch_output_pts = torch.tensor_split(
             dataset.output_pts, batch_num
         )
-        print(input_labels)
+        #print(input_labels)
         for i in range(len(self.batch_input_pts)):
             self.batch_input_pts[i].labels = input_labels
             self.batch_output_pts[i].labels = output_labels
@@ -161,7 +162,6 @@ class SamplePointLoader:
                     self.batch_input_pts,
                     self.batch_output_pts,
                     self.batch_data_conditions)
-            print(batch.input.labels)
                 
             self.batches.append(batch)