deleted print functions

solver.py

@@ -188,9 +188,6 @@ class Solver():
                     # We add an extra dimension (~ number of channels) for the 3D convolutions.
                     X = torch.unsqueeze(X, dim=1)
                     y = torch.unsqueeze(y, dim=1)
-
-                    print('X range:', torch.min(X), torch.max(X))
-                    print('y range:', torch.min(y), torch.max(y))
                     
                     MNI152_T1_2mm_brain_mask = torch.unsqueeze(torch.unsqueeze(self.MNI152_T1_2mm_brain_mask, dim=0), dim=0)
 
@@ -202,12 +199,8 @@ class Solver():
 
                     y_hat = model(X)   # Forward pass & Masking
 
-                    print('y_hat range:', torch.min(y_hat), torch.max(y_hat))
-
                     y_hat = torch.mul(y_hat, MNI152_T1_2mm_brain_mask)
 
-                    print('y_hat masked range:', torch.min(y_hat), torch.max(y_hat))
-
                     loss = self.loss_function(y_hat, y)  # Loss computation
 
                     if phase == 'train':