add config process

paddle_hub/commands/run.py

@@ -96,7 +96,7 @@ class RunCommand(BaseCommand):
         module(
             sign_name=self.args.signature,
             data=input_data,
-            config=yaml_config['config'])
+            **yaml_config['config'])
 
 
 command = RunCommand.instance()

paddle_hub/module/module.py

@@ -330,11 +330,11 @@ class Module:
         utils.from_pyobj_to_flexible_data(self.summary,
                                           module_info.map.data['summary'])
 
-    def __call__(self, sign_name, data, config=None):
-        feed_dict, fetch_dict, program = self.context(sign_name)
+    def __call__(self, sign_name, data, **kwargs):
+        feed_dict, fetch_dict, program = self.context(sign_name, for_test=True)
         #TODO(wuzewu): more option
-        program = program.clone(for_test=True)
-        reader = self.processor.reader(sign_name=sign_name, data_dict=data)
+        reader = self.processor.reader(
+            sign_name=sign_name, data_dict=data, **kwargs)
         feed_name_list = list(
             set([value.name for key, value in feed_dict.items()]))
         fetch_list = list(set([value for key, value in fetch_dict.items()]))
@@ -347,20 +347,37 @@ class Module:
                     feed=feeder.feed(batch),
                     fetch_list=fetch_list,
                     return_numpy=False)
-                self.processor.postprocess(sign_name, data_out, config)
+                self.processor.postprocess(sign_name, data_out, **kwargs)
 
-    def context(self, sign_name, trainable=False):
+    def context(self,
+                sign_name,
+                for_test=False,
+                trainable=False,
+                regularizer=None,
+                learning_rate=1e-3):
 
         assert sign_name in self.signatures, "module did not have a signature with name %s" % sign_name
         signature = self.signatures[sign_name]
 
-        program = self.program.clone()
+        program = self.program.clone(for_test=for_test)
         paddle_helper.remove_feed_fetch_op(program)
+
+        if not for_test:
+            if trainable != "Default":
                 paddle_helper.set_parameter_trainable(program, trainable)
-        paddle_helper.set_op_attr(program, is_test=False)
+
+            if learning_rate != "Default":
+                paddle_helper.set_parameter_learning_rate(
+                    program, learning_rate)
+
+            if regularizer != "Default":
+                paddle_helper.set_parameter_regularizer(program, regularizer)
+
             self._recovery_parameter(program)
+
         self._recover_variable_info(program)
 
+        paddle_helper.set_op_attr(program, is_test=for_test)
         #TODO(wuzewu): return feed_list and fetch_list directly
         feed_dict = {}
         fetch_dict = {}