new update

source/network/Main.cpp

+/* NiuTrans.Tensor - an open-source tensor library
+ * Copyright (C) 2017, Natural Language Processing Lab, Northestern University.
+ * All rights reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+/*
+ *
+ * This is the entrance of the low-level tensor library : NiuTrans.Tensor
+ *
+ * $Created by: XIAO Tong (xiaotong@mail.neu.edu.cn) 2015-12-14
+ *
+ */
+
+#include <stdio.h>
+#include "../tensor/XTensor.h"
+
+//#define CRTDBG_MAP_ALLOC
+//#include <stdlib.h>
+//#include <crtdbg.h>
+
+using namespace nts;
+
+
+int main( int argc, const char ** argv )
+{
+    
+    if(argc > 1 && !strcmp(argv[1], "-test"))
+        1;//Test();
+    else{
+        fprintf(stderr, "Thanks for using NiuTrans.Network! This is a library for building\n");
+        fprintf(stderr, "neural networks in an easy way. \n\n");
+        fprintf(stderr, "Run this program with \"-test\" for unit test!\n");
+    }
+    
+    //_CrtDumpMemoryLeaks();
+    
+    return 0;
+}

source/tensor/Main.cpp

@@ -28,8 +28,8 @@
 #include <time.h>
 #include "XTensor.h"
 #include "XDevice.h"
-#include "sample/fnnlm/FNNLM.h"
-#include "test/Test.h"
+#include "./sample/fnnlm/FNNLM.h"
+#include "./test/Test.h"
 
 //#define CRTDBG_MAP_ALLOC
 //#include <stdlib.h>  

source/tensor/core/movement/CopyValues.h

@@ -27,7 +27,6 @@
 namespace nts { // namespace nts(NiuTrans.Tensor)
 
 /* copy s to t */
-extern "C"
 bool CopyValues(const XTensor * s, XTensor * t, XStream * stream = NULL);
 
 } // namespace nts(NiuTrans.Tensor)