create parameter when load module

paddle_hub/module.py

@@ -84,6 +84,25 @@ class Module(object):
 
         self.config = ModuleConfig(self.module_dir)
         self.config.load()
+        self._process_parameter()
+
+    def _process_parameter(self):
+        global_block = self.inference_program.global_block()
+        for param in self.config.desc.parameters:
+            name = param.name
+            if name in global_block.vars:
+                var = global_block.vars[name]
+                global_block.create_parameter(
+                    name=name,
+                    trainable=param.trainable,
+                    shape=var.shape,
+                    dtype=var.dtype,
+                    optimize_attr={'learning_rate': param.learning_rate},
+                    type=var.type,
+                    lod_level=var.lod_level,
+                    error_clip=var.error_clip,
+                    stop_gradient=var.stop_gradient,
+                    is_data=var.is_data)
 
     def _construct_feed_dict(self, inputs):
         """ Construct feed dict according to user's inputs and module config.
@@ -253,8 +272,9 @@ class ModuleConfig(object):
         with open(pb_path, "rb") as fi:
             self.desc.ParseFromString(fi.read())
 
-        print("self.desc.sign2var",
-              self.desc.sign2var["default"].feed_desc[0].var_name)
+
+#         print("self.desc.sign2var",
+#               self.desc.sign2var["default"].feed_desc[0].var_name)
 
         if self.desc.contain_assets:
             # load assets