Supplement PR29988(https://github.com/PaddlePaddle/Paddle/pull/29988)

python/paddle/fluid/io.py

@@ -2180,6 +2180,7 @@ def _load_vars_with_try_catch(exe,
     with open(parameter_file_name, 'rb') as f:
         para_dict = pickle.load(f) if six.PY2 else pickle.load(
             f, encoding='latin1')
+    para_dict = _pack_loaded_dict(para_dict)
 
     opt_file_name = model_prefix + ".pdopt"
     if os.path.exists(opt_file_name):
@@ -2231,6 +2232,7 @@ def set_program_state(program, state_dict):
 
             static.set_program_state(prog, program_state)
     """
+    state_dict = _pack_loaded_dict(state_dict)
     parameter_list = list(filter(is_persistable, program.list_vars()))
 
     used_para_list = {}

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

@@ -1365,6 +1365,25 @@ def test_large_parameters_static_save(self):
                     base_t = base_map[var.name]
                     self.assertTrue(np.array_equal(new_t, base_t))
 
+            # set var to zero
+            for var in prog.list_vars():
+                if isinstance(var, framework.Parameter) or var.persistable:
+                    ten = fluid.global_scope().find_var(var.name).get_tensor()
+                    ten.set(np.zeros_like(np.array(ten)), place)
+
+                    new_t = np.array(fluid.global_scope().find_var(var.name)
+                                     .get_tensor())
+                    self.assertTrue(np.sum(np.abs(new_t)) == 0)
+
+            program_state = fluid.load_program_state(path)
+            fluid.set_program_state(prog, program_state)
+            for var in prog.list_vars():
+                if isinstance(var, framework.Parameter) or var.persistable:
+                    new_t = np.array(fluid.global_scope().find_var(var.name)
+                                     .get_tensor())
+                    base_t = base_map[var.name]
+                    self.assertTrue(np.array_equal(new_t, base_t))
+
 
 class TestProgramStateOldSaveSingleModel(unittest.TestCase):
     def test_ptb_rnn_cpu_float32(self):