use weights_only to True (#136)

Author: bdvllrs

shimmer/utils.py

@@ -71,7 +71,9 @@ def migrate_model(ckpt_path: str | PathLike, **torch_load_kwargs):
         torch_load_kwargs: additional args given to torch.load.
     """
     ckpt_path = Path(ckpt_path)
-    ckpt = torch.load(ckpt_path, **torch_load_kwargs)
+    default_torch_kwargs: dict[str, Any] = {"weights_only": True}
+    default_torch_kwargs.update(torch_load_kwargs)
+    ckpt = torch.load(ckpt_path, **default_torch_kwargs)
     new_ckpt, done_migrations = migrate_from_folder(ckpt, MIGRATION_DIR)
     done_migration_log = ", ".join(map(lambda x: x.name, done_migrations))
     print(f"Migrating: {done_migration_log}")

tests/test_ckpt_migrations.py

@@ -14,7 +14,7 @@
 
 def test_ckpt_migration_2_domains():
     old_ckpt_path = here / "data" / "old_gw_2_domains.ckpt"
-    old_ckpt = torch.load(old_ckpt_path)
+    old_ckpt = torch.load(old_ckpt_path, weights_only=True)
     new_ckpt, done_migrations = migrate_from_folder(old_ckpt, MIGRATION_DIR)
 
     old_keys = set(old_ckpt["state_dict"].keys())
@@ -74,7 +74,7 @@ def test_ckpt_migration_2_domains():
 
 def test_ckpt_migration_gw():
     old_ckpt_path = here / "data" / "old_gw.ckpt"
-    old_ckpt = torch.load(old_ckpt_path)
+    old_ckpt = torch.load(old_ckpt_path, weights_only=True)
     new_ckpt, done_migrations = migrate_from_folder(old_ckpt, MIGRATION_DIR)
 
     old_keys = set(old_ckpt["state_dict"].keys())