just do a warning if saved model version differs from current version

Author: lucidrains

alphafold3_pytorch/alphafold3.py

@@ -2965,6 +2965,11 @@ def load(self, path: str | Path, strict = False):
         package = torch.load(str(path), map_location = 'cpu')
 
         model_package = package['model']
+        current_version = version('alphafold3_pytorch')
+
+        if model_package['version'] != current_version:
+            print(f'loading a saved model from version {model_package["version"]} but you are on version {current_version}')
+
         self.load_state_dict(model_package['state_dict'], strict = strict)
 
     @staticmethod

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "alphafold3-pytorch"
-version = "0.0.56"
+version = "0.0.57"
 description = "Alphafold 3 - Pytorch"
 authors = [
     { name = "Phil Wang", email = "[email protected]" }