cmake

Author: formath

src/CMakeLists.txt

@@ -2,20 +2,27 @@ cmake_minimum_required(VERSION 2.8)
 
 include_directories(
 	${PROJECT_SOURCE_DIR}/../tensorflow
+	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow
+	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/gen/host_obj
 	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/gen/proto
 	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/gen/protobuf-host/include
+	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/downloads
 	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/downloads/eigen
+	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/downloads/gemmlowp
 	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/downloads/nsync/public
+	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/downloads/fft2d
 	${PROJECT_SOURCE_DIR}/include)
 
 link_directories(
-	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/gen/lib)
+	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/gen/lib/ios_X86_64
+	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/gen/protobuf-host/lib
+	${PROJECT_SOURCE_DIR}/../tensorflow/tensorflow/contrib/makefile/gen/protobuf_ios/lib/iossim_x86_64/lib)
 
-set(deep_ctr_LINKER_LIBS "")
-list(APPEND deep_ctr_LINKER_LIBS libtensorflow-core.a)
+set(DEEP_CTR_LINKER_LIBS "")
+list(APPEND DEEP_CTR_LINKER_LIBS libtensorflow-core-x86_64.a libprotobuf-lite.a libprotobuf.a pthread m z)
 
 # executable
-set(exec_name "test.bin")
-add_executable(${exec_name} "test.cc")
+set(TEST "test.bin")
+add_executable(${TEST} "test.cc")
 set(EXECUTABLE_OUTPUT_PATH "${PROJECT_SOURCE_DIR}/bin")
-target_link_libraries(${exec_name} ${deep_ctr_LINKER_LIBS})
+target_link_libraries(${TEST} ${DEEP_CTR_LINKER_LIBS})

src/test.cc

@@ -11,7 +11,7 @@ int main(int argc, char* argv[]) {
     std::cout << status.ToString() << "\n";
     return 1;
   }
-
+/*
   // Read in the protobuf graph we exported
   // (The path seems to be relative to the cwd. Keep this in mind
   // when using `bazel run` since the cwd isn't where you call
@@ -65,7 +65,7 @@ int main(int argc, char* argv[]) {
   // Print the results
   std::cout << outputs[0].DebugString() << "\n"; // Tensor<type: float shape: [] values: 30>
   std::cout << output_c() << "\n"; // 30
-
+*/
   // Free any resources used by the session
   session->Close();
   return 0;