Merge pull request #1013 from reyoung/feature/add_sum_cost_in_args

Add some functions to PaddleAPI.h

paddle/api/Arguments.cpp

@@ -137,6 +137,10 @@ void Arguments::setSlotSequenceDim(size_t idx, IVector* vec) throw(RangeError) {
   a.cpuSequenceDims = m->cast<paddle::IVector>(vec->getSharedPtr());
 }
 
+float Arguments::sumCosts() const {
+  return paddle::Argument::sumCosts(m->outputs);
+}
+
 int64_t Arguments::getBatchSize(size_t idx) const throw(RangeError) {
   auto& a = m->getArg(idx);
   return a.getBatchSize();

paddle/api/PaddleAPI.h

@@ -450,6 +450,8 @@ public:
                                         IVector* vec) throw(RangeError);
   void setSlotSequenceDim(size_t idx, IVector* vec) throw(RangeError);
 
+  float sumCosts() const;
+
 private:
   static Arguments* createByPaddleArgumentVector(void* ptr);
   void* getInternalArgumentsPtr() const;
@@ -546,6 +548,10 @@ public:
   ParameterConfig* getConfig();
   void setValueUpdated();
 
+  bool save(const std::string& filename) const;
+
+  bool load(const std::string& filename) const;
+
   size_t getSize() const;
 
 private:

paddle/api/Parameter.cpp

@@ -57,4 +57,12 @@ 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);
+}
+
 size_t Parameter::getSize() const { return m->getPtr()->getSize(); }

paddle/api/test/.gitignore

+*.w0
+*.wbias

paddle/api/test/testArguments.py

@@ -22,6 +22,8 @@ class TestArguments(unittest.TestCase):
         args = swig_paddle.Arguments.createArguments(1)
         args.setSlotValue(0, m)
 
+        self.assertAlmostEqual(27.0, args.sumCosts())
+
         mat = args.getSlotValue(0)
         assert isinstance(mat, swig_paddle.Matrix)
         np_mat = mat.toNumpyMatInplace()

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(