So there is a weird thing that I've encountered, where i can make the SDL2 libraries work in clion but if i include the SDL_gfx libraries it won't compile.
So here is what I've done so far:
I've downloaded the Windows 64 version of SDL from the website, uncompressed it, and dragged the files in the corresponding MinGW folder.
I've edited the cmake file so that clion can see it as well, and it really works
My cmake file:
cmake_minimum_required(VERSION 3.15)
project(pontok C)
set(CMAKE_C_STANDARD 99)
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${PROJECT_SOURCE_DIR}/cmake")
find_package(SDL2 REQUIRED)
add_executable(pontok main.c)
include_directories(${SDL2_INCLUDE_DIR}
${SDL2_IMAGE_INCLUDE_DIR}
${SDL2_MIXER_INCLUDE_DIR}
)
target_link_libraries(pontok ${SDL2_LIBRARY}
${SDL2_IMAGE_LIBRARY}
${SDL2_MIXER_LIBRARY}
)
I've downloaded the SDL_gfx package from here and put the .h and .a files in the corresponding MinGW folders. Clion can see it, and it appears normal until I hit compile:
If my code is:
#include <stdio.h>
#include <math.h>
#include <SDL2\SDL2_gfxPrimitives.h>
#include <SDL2\SDL.h>
const int SCREEN_WIDH = 640;
const int SCREEN_HEIGHT = 480;
int main(int argc, char *argv[]) {
if (SDL_Init(SDL_INIT_EVERYTHING) < 0) {
SDL_Log("Nem indithato az SDL: %s", SDL_GetError());
exit(1);
}
SDL_Window *window = SDL_CreateWindow("SDL peldaprogram", SDL_WINDOWPOS_CENTERED, SDL_WINDOWPOS_CENTERED, 440, 360, 0);
if (window == NULL) {
SDL_Log("Nem hozhato letre az ablak: %s", SDL_GetError());
exit(1);
}
SDL_Renderer *renderer = SDL_CreateRenderer(window, -1, SDL_RENDERER_SOFTWARE);
if (renderer == NULL) {
SDL_Log("Nem hozhato letre a megjelenito: %s", SDL_GetError());
exit(1);
}
SDL_RenderClear(renderer);
int x, y, r;
//circleRGBA(renderer, x, y, r, 255, 0, 0, 255);
//circleRGBA(renderer, x + r, y, r, 0, 255, 0, 255);
//circleRGBA(renderer, x + r * cos(3.1415 / 3), y - r * sin(3.1415 / 3), r, 0, 0, 255, 255);
SDL_RenderPresent(renderer);
SDL_Event ev;
while (SDL_WaitEvent(&ev) && ev.type != SDL_QUIT) {
}
SDL_Quit();
return 0;
}
Than it works. It compiles and the blank window appears. But if i remove those three lines from comments, then it wont compile, and I'll get the next error:
CMakeFiles\pontok.dir/objects.a(main.c.obj): In function `SDL_main':
C:/Prog/pontok/main.c:28: undefined reference to `circleRGBA'
C:/Prog/pontok/main.c:29: undefined reference to `circleRGBA'
C:/Prog/pontok/main.c:30: undefined reference to `circleRGBA'
collect2.exe: error: ld returned 1 exit status
mingw32-make.exe[3]: *** [CMakeFiles\pontok.dir\build.make:88: pontok.exe] Error 1
mingw32-make.exe[2]: *** [CMakeFiles\Makefile2:75: CMakeFiles/pontok.dir/all] Error 2
mingw32-make.exe[1]: *** [CMakeFiles\Makefile2:82: CMakeFiles/pontok.dir/rule] Error 2
mingw32-make.exe: *** [Makefile:117: pontok] Error 2
The weird thing is that clion can see these circleRGBA unctions, in this picture we can see that it can recognize the function, it writes the attributes next to the variables.
Unfortunately SDL_gfx does not have a standard cmake module. But you can find one on the internet by googling for FindSDL2_gfx.cmake. Put this file in your cmake/Modules directory.
find_package(SDL2_gfx REQUIRED)
Then use ${SDL2_GFX_LIBRARIES} for linking
Ok so i figured it out. The problem was that clion could not see the .c SDL2_gfx files, so i had to add them to the project and had to edit the following line in the CMakeList.txt:
add_executable(pontok main.c SDL2_framerate.c SDL2_gfxPrimitives.c SDL2_imageFilter.c SDL2_rotozoom.c)
This way it compiled and worked properly.
Related
I've been trying to run OpenCV using CLion IDE under Windows. When I try to run this sample code for loading and displaying an image
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main( int argc, char** argv )
{
if( argc != 2)
{
cout <<" Usage: display_image ImageToLoadAndDisplay" << endl;
return -1;
}
Mat image;
image = imread("earth.jpg", CV_LOAD_IMAGE_COLOR); // Read the file
if(! image.data ) // Check for invalid input
{
cout << "Could not open or find the image" << std::endl ;
return -1;
}
namedWindow( "Display window", WINDOW_AUTOSIZE );// Create a window for display.
imshow( "Display window", image ); // Show our image inside it.
waitKey(0); // Wait for a keystroke in the window
return 0;
}
I get the error statement:
Process finished with exit code -1073741515 (0xC0000135)
As for the content in my CMakeLists.txt, it looks like this:
cmake_minimum_required(VERSION 3.6)
project(test)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
# Where to find CMake modules and OpenCV
set(OpenCV_DIR "C:\\opencv\\mingw-build\\install")
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_SOURCE_DIR}/cmake/")
find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})
add_executable(openCV main.cpp)
# add libs you need
set(OpenCV_LIBS opencv_core opencv_imgproc opencv_highgui opencv_imgcodecs)
# linking
target_link_libraries(openCV ${OpenCV_LIBS})
Thanks for helping me with this.
You need to add OpenCV binary path with DLLs to your PATH BEFORE CLion start.
I do it from script:
=== CLionWithMingwAndOpenCV.bat ==========================
#echo off
set PATH=C:\mingw-w64\x86_64-5.2.0-win32-seh-rt_v4-rev0\mingw64\bin;D:\opencv\release\bin;%PATH%
"C:\Program Files (x86)\JetBrains\CLion XXXX\bin\clion64.exe"
=== ==========================
I am totally new to cmake and its syntax .But fortunately I am able to run the cmake tutorial step 1 as per the introductions mention on below links :
https://cmake.org/cmake/help/latest/guide/tutorial/index.html
But I am totally stucked at step 2 project to run using cmake.
I have created the step 2 project and understand the syntax to link the library for doing square root of a number, But I did not understand how to run this as I am getting below error :
user#server:~/TER_CMAKE/Tutorial/step2_build$ cmake ../step2
CMake Error at CMakeLists.txt:19 (add_subdirectory):
The binary directory
/home/user/TER_CMAKE/Tutorial/step2/MathFunctions
is already used to build a source directory. It cannot be used to build
source directory
/home/user/TER_CMAKE/Tutorial/step2/MathFunctions
Specify a unique binary directory name.
-- Configuring incomplete, errors occurred!
The example is available at below location for step 2 under heading Adding a Library (Step 2)..
https://moodle.rrze.uni-erlangen.de/pluginfile.php/14829/mod_resource/content/5/CMakeTutorial.pdf
My intention is to run my example this way
step2_build$ cmake ../step2
step2_build$ cmake --build .
step2_build$ ./Tutorial 121
As I am not sure that is it good to ask this way on this platform ,But as I do not have any other guidance .I am doing this by my own .
Note: I do not wants to use any tool to run my step 2 example.I wants to run everything using command prompt and cmake command only .where I can understand the cmake .
Edit:
Adding my CMakeLists.txt =
cmake_minimum_required(VERSION 3.5)
#set the project name
project(Tutorial VERSION 1.0)
#specify the c++ std
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_STANDARD_REQUIRED True)
option(USE_MYMATH "Use tutorial provided math implementation" ON)
#Configure a header file to pass the version number to the source code
configure_file(TutorialConfig.h.in TutorialConfig.h)
#add the MathFunctions Library
add_subdirectory(MathFunctions)
if(USE_MYMATH)
add_subdirectory(MathFunctions)
list(APPEND EXTRA_LIBS MathFunctions)
list(APPEND EXTRA_INCLUDES "${PROJECT_SOURCE_DIR}/MathFunctions")
endif()
#add the executable
add_executable(Tutorial tutorial.cpp)
target_link_libraries(Tutorial PUBLIC ${EXTRA_LIBS})
# add the binary tree to the search path for include files
# so that we will find TutorialConfig.h
target_include_directories(Tutorial PUBLIC
"${PROJECT_BINARY_DIR}"
${EXTRA_LIBS}
)
My Source tutorial.cpp file:
#include <iostream>
#include <cmath>
#include <cstdlib>
#include <string>
#ifdef USE_MYMATH
#include "MathFunctions.h"
#endif
#include "TutorialConfig.h"
using namespace std;
int main(int argc, char* argv[])
{
if (argc < 2) {
cout << "Usage: " << argv[0] << " number" << endl;
return 1;
}
// convert input to double
const double inputValue = atof(argv[1]);
// calculate square root
#ifdef USE_MYMATH
const double outputValue = mysqrt(inputValue);
#else
const double outputValue = sqrt(inputValue);
#endif
cout << "The square root of " << inputValue << " is " << outputValue << endl;
return 0;
}
ToturialConfig.h.in file :
#define Tutorial_VERSION_MAJOR #Tutorial_VERSION_MAJOR#
#define Tutorial_VERSION_MINOR #Tutorial_VERSION_MINOR#
#cmakedefine USE_MYMATH
EDIT:
Step2 has a folder MathFuctions,Which has Cmake file mysqrt.cpp file
/TER_CMAKE/Tutorial/step2/MathFunctions/CMakeLists.txt
add_library(MathFunctions mysqrt.cpp)
/TER_CMAKE/Tutorial/step2/MathFunctions/mysqrt.cpp
#include <iostream>
// a hack square root calculation using simple operations
double mysqrt(double x)
{
if (x <= 0) {
return 0;
}
double result = x;
// do ten iterations
for (int i = 0; i < 10; ++i) {
if (result <= 0) {
result = 0.1;
}
double delta = x - (result * result);
result = result + 0.5 * delta / result;
std::cout << "Computing sqrt of " << x << " to be " << result << std::endl;
}
return result;
}
In case USE_MYMATH variable is set add_subdirectory(MathFunctions) is invoked twice. You need to decide and remove one of the occurrences on lines 16 and 19 in you CMakeLists.txt.
Two issues I can see:
You're adding the subdirectory "MathFunctions" twice when you configure the build with -DUSE_MYMATH=ON. This is why you are getting "CMake Error at CMakeLists.txt:19 (add_subdirectory):"
To fix, remove
#add the MathFunctions Library
add_subdirectory(MathFunctions)
and rely on
if(USE_MYMATH)
add_subdirectory(MathFunctions)
list(APPEND EXTRA_LIBS MathFunctions)
list(APPEND EXTRA_INCLUDES "${PROJECT_SOURCE_DIR}/MathFunctions")
endif()
In your CMakeLists.txt file, you are doing
target_include_directories(Tutorial PUBLIC
"${PROJECT_BINARY_DIR}"
${EXTRA_LIBS}
)
Instead of
${EXTRA_LIBS}
It should be
${EXTRA_INCLUDES}
in Discourse Cmake Org -- help with tutorial step 2
Josef Angstenberger
jtxa said
The files in Step3 are the expected result if you do everything from Step2.
Can you please compare your files against the ones from Step3 to see if there are any relevant differences?
Blockquote
Marshallb's solution will solve nahesh relkar's problem
Loading Step2/CMakeLists.txt and Step3/CMakeLists.txt into vimdiff helped me to fix mine
Following the same steps in CUDA samples to launch a kernel and sync across the grid using cooperative_groups::this_grid().sync() causes any CUDA API call to fails. While using
cooperative_groups::this_thread_block().sync() works fine and gives correct results.
I used the following code and CMakeLists.txt (cmake version 3.11.1) to test it using CUDA 10 on TITAN V GPU (Driver Version 410.73) with Ubuntu 16.04.5 LTS. The code is also available on github in order to make it easy to reproduce the error.
The code reads an array and then reverses it (from [0 1 2 ... 9] to [9 8 7 ... 0]). In order to do this, each thread reads a single element from the array, sync, and then writes its element to the right destination. The code can be easily modified to ensure that this_thread_block().sync() works fine. Simply change arr_size to be less 1024 and use cg::thread_block barrier = cg::this_thread_block(); instead.
test_cg.cu
#include <cuda_runtime_api.h>
#include <stdio.h>
#include <stdint.h>
#include <cstdint>
#include <numeric>
#include <cuda.h>
#include <cooperative_groups.h>
namespace cg = cooperative_groups;
//********************** CUDA_ERROR
inline void HandleError(cudaError_t err, const char *file, int line) {
//Error handling micro, wrap it around function whenever possible
if (err != cudaSuccess) {
printf("\n%s in %s at line %d\n", cudaGetErrorString(err), file, line);
#ifdef _WIN32
system("pause");
#else
exit(EXIT_FAILURE);
#endif
}
}
#define CUDA_ERROR( err ) (HandleError( err, __FILE__, __LINE__ ))
//******************************************************************************
//********************** cg kernel
__global__ void testing_cg_grid_sync(const uint32_t num_elements,
uint32_t *d_arr){
uint32_t tid = threadIdx.x + blockDim.x*blockIdx.x;
if (tid < num_elements){
uint32_t my_element = d_arr[tid];
//to sync across the whole grid
cg::grid_group barrier = cg::this_grid();
//to sync within a single block
//cg::thread_block barrier = cg::this_thread_block();
//wait for all reads
barrier.sync();
uint32_t tar_id = num_elements - tid - 1;
d_arr[tar_id] = my_element;
}
}
//******************************************************************************
//********************** execute
void execute_test(const int sm_count){
//host array
const uint32_t arr_size = 1 << 20; //1M
uint32_t* h_arr = (uint32_t*)malloc(arr_size * sizeof(uint32_t));
//fill with sequential numbers
std::iota(h_arr, h_arr + arr_size, 0);
//device array
uint32_t* d_arr;
CUDA_ERROR(cudaMalloc((void**)&d_arr, arr_size*sizeof(uint32_t)));
CUDA_ERROR(cudaMemcpy(d_arr, h_arr, arr_size*sizeof(uint32_t),
cudaMemcpyHostToDevice));
//launch config
const int threads = 512;
//following the same steps done in conjugateGradientMultiBlockCG.cu
//cuda sample to launch kernel that sync across grid
//https://github.com/NVIDIA/cuda-samples/blob/master/Samples/conjugateGradientMultiBlockCG/conjugateGradientMultiBlockCG.cu#L436
int num_blocks_per_sm = 0;
CUDA_ERROR(cudaOccupancyMaxActiveBlocksPerMultiprocessor(&num_blocks_per_sm,
(void*)testing_cg_grid_sync, threads, 0));
dim3 grid_dim(sm_count * num_blocks_per_sm, 1, 1), block_dim(threads, 1, 1);
if(arr_size > grid_dim.x*block_dim.x){
printf("\n The grid size (numBlocks*numThreads) is less than array size.\n");
exit(EXIT_FAILURE);
}
printf("\n Launching %d blocks, each containing %d threads", grid_dim.x,
block_dim.x);
//argument passed to the kernel
void *kernel_args[] = {
(void *)&arr_size,
(void *)&d_arr, };
//finally launch the kernel
cudaLaunchCooperativeKernel((void*)testing_cg_grid_sync,
grid_dim, block_dim, kernel_args);
//make sure everything went okay
CUDA_ERROR(cudaGetLastError());
CUDA_ERROR(cudaDeviceSynchronize());
//get results on the host
CUDA_ERROR(cudaMemcpy(h_arr, d_arr, arr_size*sizeof(uint32_t),
cudaMemcpyDeviceToHost));
//validate
for (uint32_t i = 0; i < arr_size; i++){
if (h_arr[i] != arr_size - i - 1){
printf("\n Result mismatch in h_arr[%u] = %u\n", i, h_arr[i]);
exit(EXIT_FAILURE);
}
}
}
//******************************************************************************
int main(int argc, char**argv) {
//set to Titan V
uint32_t device_id = 0;
cudaSetDevice(device_id);
//get sm count
cudaDeviceProp devProp;
CUDA_ERROR(cudaGetDeviceProperties(&devProp, device_id));
int sm_count = devProp.multiProcessorCount;
//execute
execute_test(sm_count);
printf("\n Mission accomplished \n");
return 0;
}
CMakeLists.txt
cmake_minimum_required(VERSION 3.8 FATAL_ERROR)
set(PROJECT_NAME "test_cg")
project(${PROJECT_NAME} LANGUAGES CXX CUDA)
#default build type is Release
if (CMAKE_BUILD_TYPE STREQUAL "")
set(CMAKE_BUILD_TYPE Release)
endif ()
SET(CUDA_SEPARABLE_COMPILATION ON)
########## Libraries/flags Starts Here ######################
find_package(CUDA REQUIRED)
include_directories("${CUDA_INCLUDE_DIRS}")
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS}; -lineinfo; -std=c++11; -expt-extended-lambda; -O3; -use_fast_math; -rdc=true;)
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode=arch=compute_70,code=sm_70) #for TITAN V
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -m64 -Wall -std=c++11")
########## Libraries/flags Ends Here ######################
########## inc/libs/exe/features Starts Here ######################
set(CMAKE_INCLUDE_CURRENT_DIR ON)
CUDA_ADD_EXECUTABLE(${PROJECT_NAME} test_cg.cu)
target_compile_features(${PROJECT_NAME} PUBLIC cxx_std_11)
set_target_properties(${PROJECT_NAME} PROPERTIES POSITION_INDEPENDENT_CODE ON)
set_target_properties(${PROJECT_NAME} PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
target_link_libraries(${PROJECT_NAME} ${CUDA_LIBRARIES} ${CUDA_cudadevrt_LIBRARY})
########## inc/libs/exe/features Ends Here ######################
Running this code gives:
unknown error in /home/ahdhn/test_cg/test_cg.cu at line 67
This is the first line that uses cudaMalloc. I made sure that the code is compiled for the correct architecture by querying __CUDA_ARCH__ from the device and the results is 700. Kindly let me know if you spot me doing something wrong in the code or the CMakeLists.txt file.
With external help, the solution that got the code working is to add string(APPEND CMAKE_CUDA_FLAGS " -gencode arch=compute_70,code=sm_70 --cudart shared") after the second set(CUDA_NVCC_FLAGS...... The reason is that I only have libcudadevrt.a under my /usr/local/cuda-10.0/lib64/ and so I have to signal CUDA to link shared/dynamic run-time library since the default is to link to static. string(APPEND CMAKE_CUDA_FLAGS " -gencode arch=compute_70,code=sm_70") after the second set(CUDA_NVCC_FLAGS...... The reason is that the sm_70 flag was not passed to the linker properly.
Additionally, using only CUDA_NVCC_FLAGS will only pass the sm_70 info to the compiler not the linker. While only using CMAKE_NVCC_FLAGS will report error: namespace "cooperative_groups" has no member "grid_group" error.
I'm currently trying to work through the tensorflow XLA ahead of time compilation work flow for the first time, and I've hit a problem while trying to build the final executable binary which includes the AOT compiled object.
I've used the tutorial here to generate the test_graph_tfgather.pb and test_graph_tfgather.config.pbtxt files. Then I've used the tfcompile tool directly to produce MyClass.o and MyClass.h. So far so good.
I'm now building a simple makefile project which includes this compiled model, but I'm getting some errors related to Eigen. Could this be due to a different version of eigen3 being installed on my computer? I've also had to comment out the Eigen::ThreadPool lines due to eigen errors too so some version miss match may be the problem. Has anyone seen this problem before or does anyone have any ideas how to get this working?
Thanks.
The build errors:
g++ -c -std=c++11 -I . -I /usr/include/eigen3 -I /home/user/tensorflow_xla/tensorflow -I /usr/include main.cpp
In file included from /home/user/tensorflow_xla/tensorflow/tensorflow/compiler/xla/types.h:22:0,
from /home/user/tensorflow_xla/tensorflow/tensorflow/compiler/xla/executable_run_options.h:20,
from /home/user/tensorflow_xla/tensorflow/tensorflow/compiler/tf2xla/xla_compiled_cpu_function.h:22,
from MyClass.h:14,
from main.cpp:6:
/home/user/tensorflow_xla/tensorflow/tensorflow/core/framework/numeric_types.h: In static member function ‘static tensorflow::bfloat16 Eigen::NumTraits<tensorflow::bfloat16>::infinity()’:
/home/user/tensorflow_xla/tensorflow/tensorflow/core/framework/numeric_types.h:79:28: error: ‘infinity’ is not a member of ‘Eigen::NumTraits<float>’
return FloatToBFloat16(NumTraits<float>::infinity());
^
/home/user/tensorflow_xla/tensorflow/tensorflow/core/framework/numeric_types.h: In static member function ‘static tensorflow::bfloat16 Eigen::NumTraits<tensorflow::bfloat16>::quiet_NaN()’:
/home/user/tensorflow_xla/tensorflow/tensorflow/core/framework/numeric_types.h:83:28: error: ‘quiet_NaN’ is not a member of ‘Eigen::NumTraits<float>’
return FloatToBFloat16(NumTraits<float>::quiet_NaN());
^
/home/user/tensorflow_xla/tensorflow/tensorflow/core/framework/numeric_types.h: At global scope:
/home/user/tensorflow_xla/tensorflow/tensorflow/core/framework/numeric_types.h:95:34: error: ‘log’ is not a template function
const tensorflow::bfloat16& x) {
^
/home/user/tensorflow_xla/tensorflow/tensorflow/core/framework/numeric_types.h:101:34: error: ‘exp’ is not a template function
const tensorflow::bfloat16& x) {
^
/home/user/tensorflow_xla/tensorflow/tensorflow/core/framework/numeric_types.h:107:34: error: ‘abs’ is not a template function
const tensorflow::bfloat16& x) {
^
Makefile:10: recipe for target 'main.o' failed
main.cpp source:
#define EIGEN_USE_THREADS
#define EIGEN_USE_CUSTOM_THREAD_POOL
#include <iostream>
#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
#include "MyClass.h" // generated
int main(int argc, char** argv) {
//Eigen::ThreadPool tp(2); // Size the thread pool as appropriate.
//Eigen::ThreadPoolDevice device(&tp, tp.NumThreads());
MyClass matmul;
//matmul.set_thread_pool(&device);
// Set up args and run the computation.
const float args[12] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
std::copy(args + 0, args + 6, matmul.arg0_data());
std::copy(args + 6, args + 12, matmul.arg1_data());
matmul.Run();
// Check result
if (matmul.result0(0, 0) == 58) {
std::cout << "Success" << std::endl;
} else {
std::cout << "Failed. Expected value 58 at 0,0. Got:"
<< matmul.result0(0, 0) << std::endl;
}
return 0;
}
Makefile
EIGEN_INC=-I /usr/include/eigen3
TF_INC=-I /home/user/tensorflow_xla/tensorflow
CPPFLAGS=-c -std=c++11
xla_hw: main.o MyClass.o
g++ -o xla_hw main.o MyClass.o
main.o: main.cpp
g++ $(CPPFLAGS) -I . $(TF_INC) $(EIGEN_INC) -I /usr/include main.cpp
I've solved this problem now, it turns out there is a specific version of eigen3 included with tensorflow and you need to use this version for it to work. When tensorflow has been built the correct version of eigen3 is located at <tensorflow path>bazel-tensorflow/external/eigen_archive
Below is the working makefile which includes the correct Eigen path as well as the libraries needed to link the project.
TF_INC=-I /home/user/tensorflow_xla/tensorflow/bazel-tensorflow/external/eigen_archive -I /home/user/tensorflow_xla/tensorflow
TF_LIBS=-L/home/user/tensorflow_xla/tensorflow/bazel-bin/tensorflow/compiler/tf2xla/ -lxla_compiled_cpu_function -L/home/user/tensorflow_xla/tensorflow/bazel-bin/tensorflow/compiler/aot -lruntime
CPPFLAGS=-c -std=c++11
xla_hw: main.o MyClass.o
g++ -o xla_hw main.o MyClass.o $(TF_LIBS)
main.o: main.cpp
g++ $(CPPFLAGS) -I . $(TF_INC) -I /usr/include main.cpp
I have just begun programming for KDE, the problem I face is I don't know what exactly should be the pro file for a KDE project, I have an idea for cmake though
I also tried in pro file:
LIBS += -lkdeui
I still get problem KApplication not found
Code main.cpp:
#include <cstdlib>
#include <KApplication>
#include <KAboutData>
#include <KCmdLineArgs>
#include <KMessageBox>
#include <KLocale>
int main (int argc, char *argv[])
{
KAboutData aboutData("tutorial1",0,ki18n("Tutorial 1"),"1.0",ki18n("Displays a KMessageBox popup"),KAboutData::License_GPL,ki18n("(c) 2007"),ki18n("Some text..."),"http://example.com/","submit#bugs.kde.org");
KCmdLineArgs::init( argc, argv, &aboutData );
KApplication app;
KGuiItem yesButton( i18n( "Hello" ), QString(),
i18n( "This is a tooltip" ),
i18n( "This is a WhatsThis help text." ) );
return
KMessageBox ::questionYesNo
(0, i18n( "Hello World" ), i18n( "Hello" ), yesButton )
== KMessageBox ::Yes? EXIT_SUCCESS: EXIT_FAILURE;
}
and tutorial.pro file is:
TEMPLATE = app
CONFIG += console
CONFIG -= qt
SOURCES += main.cpp
LIBS += -lkdeui
You need to install development files for kde libraries, these are missing. I don't know which Linux distro you are using (if any) but, for example, in Debian the required package is called kdelibs5-dev.
You will probably also need to specify the include path for these development files after installing the package. Like INCLUDEPATH += /usr/include/KDE