Update import from lightning.pytorch (#409)

* update import
* Remove unnecessary import return type

---------

Co-authored-by: Filippo Olivo <filippo@filippoolivo.com>

pina/callbacks/adaptive_refinment_callbacks.py

@@ -1,7 +1,7 @@
 """PINA Callbacks Implementations"""
 
 import torch
-from pytorch_lightning.callbacks import Callback
+from lightning.pytorch.callbacks import Callback
 from ..label_tensor import LabelTensor
 from ..utils import check_consistency
 

pina/callbacks/optimizer_callbacks.py

@@ -1,6 +1,6 @@
 """PINA Callbacks Implementations"""
 
-from pytorch_lightning.callbacks import Callback
+from lightning.pytorch.callbacks import Callback
 import torch
 from ..utils import check_consistency
 

pina/callbacks/processing_callbacks.py

@@ -1,11 +1,11 @@
 """PINA Callbacks Implementations"""
 
-from pytorch_lightning.core.module import LightningModule
+from lightning.pytorch.core.module import LightningModule
-from pytorch_lightning.trainer.trainer import Trainer
+from lightning.pytorch.trainer.trainer import Trainer
 import torch
 import copy
 
-from pytorch_lightning.callbacks import Callback, TQDMProgressBar
+from lightning.pytorch.callbacks import Callback, TQDMProgressBar
 from lightning.pytorch.callbacks.progress.progress_bar import (
     get_standard_metrics,
 )

pina/solvers/supervised.py

@@ -1,6 +1,5 @@
 """ Module for SupervisedSolver """
 import torch
-from pytorch_lightning.utilities.types import STEP_OUTPUT
 from torch.nn.modules.loss import _Loss
 from ..optim import TorchOptimizer, TorchScheduler
 from .solver import SolverInterface
@@ -145,7 +144,7 @@ class SupervisedSolver(SolverInterface):
         self.log('val_loss', loss, prog_bar=True, logger=True,
                  batch_size=self.get_batch_size(batch), sync_dist=True)
 
-    def test_step(self, batch, batch_idx) -> STEP_OUTPUT:
+    def test_step(self, batch, batch_idx):
         """
         Solver test step.
         """