[from_pretrained] refactor find_mismatched_keys (#16706)

src/transformers/modeling_utils.py

@@ -1966,8 +1966,14 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
                     "properly saved?"
                 )
 
-        if state_dict is not None:
-            # Whole checkpoint
+        def _find_mismatched_keys(
+            state_dict,
+            model_state_dict,
+            loaded_keys,
+            add_prefix_to_model,
+            remove_prefix_from_model,
+            ignore_mismatched_sizes,
+        ):
             mismatched_keys = []
             if ignore_mismatched_sizes:
                 for checkpoint_key in loaded_keys:
@@ -1988,6 +1994,18 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
                         )
                         del state_dict[checkpoint_key]
 
+            return mismatched_keys
+
+        if state_dict is not None:
+            # Whole checkpoint
+            mismatched_keys = _find_mismatched_keys(
+                state_dict,
+                model_state_dict,
+                loaded_keys,
+                add_prefix_to_model,
+                remove_prefix_from_model,
+                ignore_mismatched_sizes,
+            )
             error_msgs = _load_state_dict_into_model(model_to_load, state_dict, start_prefix)
         else:
             # Sharded checkpoint
@@ -1996,30 +2014,19 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
                 resolved_archive_file = [resolved_archive_file]
 
             error_msgs = []
+            mismatched_keys = []
             for shard_file in resolved_archive_file:
                 state_dict = load_state_dict(shard_file)
                 # Mistmatched keys contains tuples key/shape1/shape2 of weights in the checkpoint that have a shape not
                 # matching the weights in the model.
-                mismatched_keys = []
-                if ignore_mismatched_sizes:
-                    for checkpoint_key in loaded_keys:
-                        model_key = checkpoint_key
-                        if remove_prefix_from_model:
-                            # The model key starts with `prefix` but `checkpoint_key` doesn't so we add it.
-                            model_key = f"{prefix}.{checkpoint_key}"
-                        elif add_prefix_to_model:
-                            # The model key doesn't start with `prefix` but `checkpoint_key` does so we remove it.
-                            model_key = ".".join(checkpoint_key.split(".")[1:])
-
-                        if (
-                            model_key in model_state_dict
-                            and state_dict[checkpoint_key].shape != model_state_dict[model_key].shape
-                        ):
-                            mismatched_keys.append(
-                                (checkpoint_key, state_dict[checkpoint_key].shape, model_state_dict[model_key].shape)
-                            )
-                            del state_dict[checkpoint_key]
-
+                mismatched_keys += _find_mismatched_keys(
+                    state_dict,
+                    model_state_dict,
+                    loaded_keys,
+                    add_prefix_to_model,
+                    remove_prefix_from_model,
+                    ignore_mismatched_sizes,
+                )
                 error_msgs += _load_state_dict_into_model(model_to_load, state_dict, start_prefix)
 
         if len(error_msgs) > 0: