adapt pytorch lighting 2.0 AKA lightning

Author: qmpzzpmq

Diff for: nni/compression/pytorch/utils/evaluator.py

@@ -14,10 +14,16 @@
 from torch.utils.hooks import RemovableHandle
 
 try:
-    import pytorch_lightning as pl
-    from pytorch_lightning.callbacks import Callback
+    import lightning as pl
+    from lightning.callbacks import Callback
 except ImportError:
-    LIGHTNING_INSTALLED = False
+    try:
+        import pytorch_lightning as pl
+        from pytorch_lightning.callbacks import Callback
+    except ImportError:
+        LIGHTNING_INSTALLED = False
+    else:
+        LIGHTNING_INSTALLED = True
 else:
     LIGHTNING_INSTALLED = True
 
@@ -957,4 +963,4 @@ def evaluate(self) -> float | None | Tuple[float, Dict[str, Any]] | Tuple[None,
         return self.trainer.evaluate()
 
     def get_dummy_input(self) -> Any:
-        return self.dummy_input
+        return self.dummy_input

Diff for: nni/contrib/compression/utils/evaluator.py

@@ -16,9 +16,16 @@
 from torch.utils.hooks import RemovableHandle
 
 try:
-    import pytorch_lightning as pl
+    import lightning as pl
+    from lightning.callbacks import Callback
 except ImportError:
-    LIGHTNING_INSTALLED = False
+    try:
+        import pytorch_lightning as pl
+        from pytorch_lightning.callbacks import Callback
+    except ImportError:
+        LIGHTNING_INSTALLED = False
+    else:
+        LIGHTNING_INSTALLED = True
 else:
     LIGHTNING_INSTALLED = True
 
@@ -1099,4 +1106,4 @@ def evaluate(self) -> Tuple[float | None, Dict[str, Any]]:
         return nni_used_metric, metric
 
     def get_dummy_input(self) -> Any:
-        return self.dummy_input
+        return self.dummy_input