modifed Paddle.swig to specially handle UnsupportError only

paddle/api/Matrix.cpp

@@ -53,7 +53,8 @@ Matrix* Matrix::createDense(const std::vector<float>& data, size_t height,
 }
 
 Matrix* Matrix::createDenseFromNumpy(float* data, int dim1, int dim2,
-                                      bool copy, bool useGpu) {
+                                      bool copy, bool useGpu)
+                                     throw (UnsupportError) {
   if (useGpu) {
     /// Gpu mode only supports copy=True
     if (!copy) {

paddle/api/Paddle.swig

@@ -6,17 +6,10 @@
 %}
 
 %include "exception.i"
-%exception{
-    try{
-        $action
-    }
-    catch(UnsupportError &ex ){
-        SWIG_exception(SWIG_RuntimeError, ex.what());
-    }
-    catch( ... ){
+%typemap(throws) UnsupportError %{
+  SWIG_exception(SWIG_RuntimeError, $1.what());
   SWIG_fail;
-    }
-}
+%}
 
 %include "std_vector.i"
 %include "std_pair.i"

paddle/api/PaddleAPI.h

@@ -139,7 +139,8 @@ public:
 
   static Matrix* createDenseFromNumpy(float* data, int dim1, int dim2,
                                       bool copy = true,
-                                      bool useGpu = isUsingGpu());
+                                      bool useGpu = isUsingGpu())
+                                      throw (UnsupportError);
 
   /**
    *  Create Cpu Dense Matrix from numpy matrix, dtype=float32
@@ -248,7 +249,8 @@ public:
                         bool useGpu = isUsingGpu());
 
   static Vector* createVectorFromNumpy(float* data, int dim, bool copy = true,
-                                       bool useGpu = isUsingGpu());
+                                       bool useGpu = isUsingGpu())
+                                       throw (UnsupportError);
   /**
    * Create Cpu Vector from numpy array, which dtype=float32
    *
@@ -311,7 +313,8 @@ public:
                          bool useGpu = isUsingGpu());
 
   static IVector* createVectorFromNumpy(int* data, int dim, bool copy = true,
-                                        bool useGpu = isUsingGpu());
+                                        bool useGpu = isUsingGpu())
+                                        throw (UnsupportError);
 
   /**
    * Create Cpu IVector from numpy array, which dtype=int32

paddle/api/Vector.cpp

@@ -40,7 +40,7 @@ IVector* IVector::create(const std::vector<int>& data, bool useGpu) {
 }
 
 IVector* IVector::createVectorFromNumpy(int* data, int dim, bool copy,
-                                        bool useGpu) {
+                                        bool useGpu) throw (UnsupportError){
   if (useGpu) {
     /// if use gpu only copy=true is supported
     if (!copy) {
@@ -202,7 +202,7 @@ Vector* Vector::createByPaddleVectorPtr(void* ptr) {
 }
 
 Vector* Vector::createVectorFromNumpy(float* data, int dim, bool copy,
-                                      bool useGpu) {
+                                      bool useGpu) throw (UnsupportError){
   if (useGpu) {
     /// if use gpu only copy=True is supported
     if (!copy) {