Add load/save method for Parameter

paddle/api/PaddleAPI.h

@@ -551,6 +551,10 @@ public:
   ParameterConfig* getConfig();
   void setValueUpdated();
 
+  bool save(const std::string& filename) const;
+
+  bool load(const std::string& filename) const;
+
 private:
   static Parameter* createFromRawPtr(void* ptr);
   static Parameter* createFromSharedPtr(void* ptr);

paddle/api/Parameter.cpp

@@ -70,3 +70,11 @@ ParameterConfig* Parameter::getConfig() {
 size_t Parameter::getID() const { return m->getPtr()->getID(); }
 
 void Parameter::setValueUpdated() { m->getPtr()->setValueUpdated(); }
+
+bool Parameter::save(const std::string& filename) const {
+  return m->getPtr()->save(filename);
+}
+
+bool Parameter::load(const std::string& filename) const {
+  return m->getPtr()->load(filename);
+}

paddle/api/test/.gitignore

@@ -0,0 +1,6 @@
+___fc_layer_0__.w0
+___fc_layer_0__.wbias
+_hidden1.w0
+_hidden1.wbias
+_hidden2.w0
+_hidden2.wbias

paddle/api/test/testGradientMachine.py

@@ -45,6 +45,7 @@ class TestGradientMachine(unittest.TestCase):
             assert isinstance(val, swig_paddle.Vector)
             arr = numpy.full((len(val), ), 0.1, dtype="float32")
             val.copyFromNumpyArray(arr)
+            self.assertTrue(param.save(param.getName()))
             param_config = param.getConfig().toProto()
             assert isinstance(param_config,
                               paddle.proto.ParameterConfig_pb2.ParameterConfig)
@@ -92,6 +93,9 @@ class TestGradientMachine(unittest.TestCase):
 
         self.assertTrue(self.isCalled)
 
+        for param in machine.getParameters():
+            self.assertTrue(param.load(param.getName()))
+
     def test_train_one_pass(self):
         conf_file_path = './testTrainConfig.py'
         trainer_config = swig_paddle.TrainerConfig.createFromTrainerConfigFile(