[JitLayer]Fix jit.save error when save params combined (#44504)

* Fix jit.save error when save params combined

* Change dict_value to list

python/paddle/fluid/dygraph/jit.py

@@ -483,9 +483,9 @@ def _get_output_vars(outputs, output_spec, with_hook=False):
         if isinstance(var, Variable):
             output_vars_dict[var.name] = var
     if output_spec is None:
-        result_list = output_vars_dict.values()
+        result_list = list(output_vars_dict.values())
     elif output_spec is not None and len(output_spec) == len(output_vars_dict):
-        result_list = output_vars_dict.values()
+        result_list = list(output_vars_dict.values())
         for var in output_spec:
             if var.name not in output_vars_dict:
                 warnings.warn(name_no_exists_error % var.name)
@@ -868,7 +868,7 @@ def save(layer, path, input_spec=None, **configs):
             layer,
         ]
 
-    all_vars = set()
+    combine_vars = {}
     property_vals = []  # (value, key)
     for attr_func in functions:
         if isinstance(layer, Layer):
@@ -1020,19 +1020,28 @@ def save(layer, path, input_spec=None, **configs):
                 program_only=configs._program_only,
                 clip_extra=configs.clip_extra)
 
-        # collect all vars
-        for var in concrete_program.main_program.list_vars():
-            all_vars.add(var)
+        if combine_params:
+            clone_main_program = concrete_program.main_program.clone()
+            clone_main_program = clone_main_program._prune_with_input(
+                input_var_names, output_vars)
+            for block in clone_main_program.blocks:
+                combine_vars.update(block.vars)
 
     # save shared params
     if combine_params:
+        # sort vars by name
+        combine_vars = sorted(combine_vars.items(), key=lambda item: item[0])
+        ordered_vars = []
+        for name, var in combine_vars:
+            ordered_vars.append(var)
+
         params_filename = file_prefix + INFER_PARAMS_SUFFIX
         with scope_guard(scope):
             paddle.static.save_vars(Executor(_current_expected_place()),
                                     dirname=model_path,
                                     vars=list(
                                         filter(paddle.fluid.io.is_persistable,
-                                               all_vars)),
+                                               ordered_vars)),
                                     filename=params_filename)
         # TODO: save property