use structured name in loaded dict (#27242)

python/paddle/fluid/dygraph/checkpoint.py

@@ -25,7 +25,7 @@ import warnings
 from .. import core
 from .base import guard
 from paddle.fluid.dygraph.jit import SaveLoadConfig, deprecate_save_load_configs
-from paddle.fluid.dygraph.io import _construct_program_holders, _construct_params_and_buffers
+from paddle.fluid.dygraph.io import _construct_program_holders, _construct_params_and_buffers, EXTRA_VAR_INFO_FILENAME
 
 __all__ = [
     'save_dygraph',
@@ -233,6 +233,19 @@ def load_dygraph(model_path, config=None):
             para_dict = dict()
             for var_name in persistable_var_dict:
                 para_dict[var_name] = persistable_var_dict[var_name].numpy()
+
+            # if __variables.info__ exists, we can recover structured_name
+            var_info_path = os.path.join(model_prefix, EXTRA_VAR_INFO_FILENAME)
+            if os.path.exists(var_info_path):
+                with open(var_info_path, 'rb') as f:
+                    extra_var_info = pickle.load(f)
+                structured_para_dict = dict()
+                for var_name in para_dict:
+                    structured_name = extra_var_info[var_name].get(
+                        'structured_name', None)
+                    assert structured_name is not None, "Cannot find saved variable (%s)'s structured name in saved model." % var_name
+                    structured_para_dict[structured_name] = para_dict[var_name]
+                para_dict = structured_para_dict
     else:
         # Load state dict by `save_dygraph` save format
         para_dict = {}

python/paddle/fluid/tests/unittests/test_jit_save_load.py

@@ -255,8 +255,11 @@ class TestJitSaveLoad(unittest.TestCase):
         train_layer.eval()
         # construct new model
         new_layer = LinearNet(784, 1)
-        model_dict, _ = fluid.dygraph.load_dygraph(self.model_path)
+        orig_state_dict = new_layer.state_dict()
-        new_layer.set_dict(model_dict)
+        load_state_dict, _ = fluid.dygraph.load_dygraph(self.model_path)
+        for structured_name in orig_state_dict:
+            self.assertTrue(structured_name in load_state_dict)
+        new_layer.set_state_dict(load_state_dict)
         new_layer.eval()
         # inference & compare
         x = fluid.dygraph.to_variable(