no need to link project lib

Xtra-Computing · Nov 23, 2017 · 5fb7cfa · 5fb7cfa
1 parent 3be6485
commit 5fb7cfa
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Showing 2 changed files with 7 additions and 8 deletions.
diff --git a/src/thundersvm/CMakeLists.txt b/src/thundersvm/CMakeLists.txt
@@ -8,13 +8,13 @@ list(REMOVE_ITEM SRC "${CMAKE_CURRENT_LIST_DIR}/${PROJECT_NAME}-predict.cpp")
 if (USE_CUDA)
     cuda_add_library(${PROJECT_LIB_NAME} SHARED ${SRC})
     target_link_libraries(${PROJECT_LIB_NAME} ${CUDA_cusparse_LIBRARY})
-    cuda_add_executable(${PROJECT_NAME}-train thundersvm-train.cpp ${COMMON_INCLUDES})
-    cuda_add_executable(${PROJECT_NAME}-predict thundersvm-predict.cpp ${COMMON_INCLUDES})
+    cuda_add_executable(${PROJECT_NAME}-train thundersvm-train.cpp ${SRC} ${COMMON_INCLUDES})
+    cuda_add_executable(${PROJECT_NAME}-predict thundersvm-predict.cpp ${SRC} ${COMMON_INCLUDES})
 else ()
     add_library(${PROJECT_LIB_NAME} SHARED ${SRC})
-    add_executable(${PROJECT_NAME}-train thundersvm-train.cpp ${COMMON_INCLUDES})
-    add_executable(${PROJECT_NAME}-predict thundersvm-predict.cpp ${COMMON_INCLUDES})
+    add_executable(${PROJECT_NAME}-train thundersvm-train.cpp ${SRC} ${COMMON_INCLUDES})
+    add_executable(${PROJECT_NAME}-predict thundersvm-predict.cpp ${SRC} ${COMMON_INCLUDES})
 endif ()
 
-target_link_libraries(${PROJECT_NAME}-train ${PROJECT_LIB_NAME} ${LINK_LIBRARY})
-target_link_libraries(${PROJECT_NAME}-predict ${PROJECT_LIB_NAME} ${LINK_LIBRARY})
+target_link_libraries(${PROJECT_NAME}-train ${LINK_LIBRARY})
+target_link_libraries(${PROJECT_NAME}-predict ${LINK_LIBRARY})
diff --git a/src/thundersvm/svm_python_interface.cpp b/src/thundersvm/svm_python_interface.cpp
@@ -8,12 +8,11 @@
 #include <thundersvm/model/nusvr.h>
 #include <thundersvm/util/metric.h>
 #include "thundersvm/cmdparser.h"
-#include <iostream>
+
 using std::fstream;
 using std::stringstream;
 DataSet dataset_python;
 
-INITIALIZE_EASYLOGGINGPP
 extern "C" {
     DataSet* DataSet_new() {return new DataSet();}
     void DataSet_load_from_python(DataSet *dataset, float *y, char **x, int len) {dataset->load_from_python(y, x, len);}