I was trying to build BVLC Caffe from source as described here on Ubuntu 18.04 with CUDA 10.0.
CMake ended with this error:
Please set them or make sure they are set and tested correctly in the CMake files:
This problem seems to occur with a combination of CUDA 10.0 or later and a CMake version that is older than 3.13. I upgraded to CMake 3.14.0 as described here and the problem was solved.
CMake is easy to install in Ubuntu using apt:
$ sudo apt install cmake
However, depending on your version of Ubuntu, the CMake version that is installed might be very old. So, you might run into problems when you build projects that use features from more recent versions of CMake.
CMake provides binary versions for Linux x86_64. Installing the latest version of CMake from these packages is easy:
- Remove the Ubuntu version of CMake:
$ sudo apt remove cmake cmake-data
$ sudo mv cmake-3.14.0-Linux-x86_64.sh /opt
$ cd /opt
$ sudo chmod +x cmake-3.14.0-Linux-x86_64.sh
$ sudo bash ./cmake-3.14.0-Linux-x86_64.sh
This installs this version of CMake in the directory
- Create symbolic links for the CMake binaries:
$ sudo ln -s /opt/cmake-3.14.0-Linux-x86_64.sh/bin/* /usr/local/bin
$ Test if CMake is working:
$ cmake --version
cmake version 3.14.0
CMake suite maintained and supported by Kitware (kitware.com/cmake).
Tried with: Ubuntu 18.04
I was compiling OpenCV using CMake and it threw up this error:
CMake Warning at cmake/OpenCVPackaging.cmake:23 (message):
CPACK_PACKAGE_VERSION does not match version provided by version.hpp
Call Stack (most recent call first):
cmake/OpenCVPackaging.cmake file and add the version of OpenCV using a line
set(OPENCV_VCSVERSION "2.4.13"). Place the line anywhere above the first use of
I was building OpenCV using CMake and got this error:
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
The error was related to CUDA and probably some dependency on the NVIDIA Performance Primitives (NPP) library. Since, I needed neither, I rebuilt OpenCV without CUDA support as described here by setting
I was trying to build a CUDA project that worked on one computer on a second computer. Though this project built without problems on the first computer, nvcc gave an argument redefinition error on the second computer:
nvcc fatal : redefinition of argument 'std'
At first, I thought that the compilation error was arising from the source code. Actually, the error is being reported about a compilation argument to nvcc. It is saying that a std argument has been provided more than once.
This project was using CMake, so the actual compilation commands invoked by make are hidden. I used the VERBOSE trick, described here, to view the actual commands issued to the C++ and CUDA compilers. Not surprisingly, I found that the
-std=c++11 argument was being passed twice. But why?
I checked the CMakeLists.txt file and found that indeed the C++11 argument was being passed to the compiler twice by setting it in both
CUDA_NVCC_FLAGS. How and why was this working fine on the first computer? Turns out that the older CMake used on the first computer would not pass the C++ flag to NVCC, so it had to be specifically redefined for CUDA compiler flags.
The second computer was using a newer version of Ubuntu, with newer version of CMake. This was intelligent enough to pass a C++ flag to the CUDA NVCC compiler too. But since the NVCC flag of the same name also existed, it was causing the argument redefinition error. Removing the flag from the CUDA flags made the problem go away.
Running CMake for a project creates many variables that are required for its own operation and for the project being built. If you use the CMake GUI, then these are the variables which you see populated after you perform Configure and then Generate. When you want to diagnose a CMake build problem at the shell, it is useful to be able to view these variables.
- To perform a CMake build and then print the cache variables:
$ cmake -L ..
Note that in the above command, I am in the
build directory and the
CMakeLists.txt is in the parent directory. This command builds as usual and at the end prints the CMake variables and their values.
- To perform a CMake build and list all the cache variables, including advanced variables:
$ cmake -LA ..
Note that the number of variables that are printed can be quite high for big projects. I have seen it run into the hundreds.
- To perform a CMake build and list all the cache variables and print the help documentation about each variable too:
$ cmake -LAH ..
- If you have already done a CMake build and just need to print out the cache variables, add the
$ cmake -L -N
This command assumes that the current directory is the build directory containing the cache files, so no directory needs to be specified. This command is quick because it does not do a CMake build. Additionally, you can also add the
-AH options as before if you want.
Tried with: CMake 220.127.116.11 and Ubuntu 16.04
I got this error from CMake when building a project that needs to link with Python 3.4 libraries:
-- Found PythonInterp: /usr/bin/python3 (found suitable version "3.4.3", minimum required is "3.0")
-- Could NOT find PythonLibs (missing: PYTHON_LIBRARIES PYTHON_INCLUDE_DIRS) (Required is at least version "3.0")
Turns out that the CMake available on my system only supported finding Python 3 packages upto version 3.3. To change it to support Python 3.4 was possible by editing two files:
I was able to build with Python 3.x libraries after that.
Importing a CMake project into Qt Creator is easier than it is with Eclipse (which is described here). The problem is that you cannot do this properly by using the Import option. Counter-intuitively, you need to Open Project to import a CMake project and make a Qt Creator project from it. After this operation, the project will be available in Qt Creator always, with auto-complete (thanks to indexing) and building (thanks to
To do this:
- Do Open file or project and open the
- Choose the Build directory properly. Qt Creator will create a
.cbp file here with the name of the CMake project.
- Qt Creator will ask you to run
cmake once, so that it can learn the include, library and build directories.
- You are now in the project Qt Creator has created for you. It will index the files perfectly, so you get excellent auto-complete (better than Eclipse).
- Click the Projects button in left column and you will be able to set the command options to build and the environment variables for build.
Tried with: Qt Creator 3.5.0 and Ubuntu 14.04
I tried to build source code that uses Qt5 using CMake. It quit with this error:
CMake Error at CMakeLists.txt:20 (find_package):
By not providing "FindQt5Core.cmake" in CMAKE_MODULE_PATH this project has
asked CMake to find a package configuration file provided by "Qt5Core", but
CMake did not find one.
Could not find a package configuration file provided by "Qt5Core" with any
of the following names:
Add the installation prefix of "Qt5Core" to CMAKE_PREFIX_PATH or set
"Qt5Core_DIR" to a directory containing one of the above files. If
"Qt5Core" provides a separate development package or SDK, be sure it has
I checked for Qt5 packages and they seemed to be installed. There has been a naming change between Qt4 and Qt5 packages in Ubuntu and that threw me off.
What was needed is the package
qtbase5-dev. Once I installed it, this error was solved:
$ sudo apt install qtbase5-dev
Tried with: Ubuntu 14.04
GLFW is a library for OpenGL created by Camilla Berglund. It is a modern replacement to GLUT, to draw windows and handle input.
Ubuntu ships with an ancient version of GLFW that can be installed easily:
$ sudo apt install libglfw-dev
However, it is highly recommended to use GLFW 3.x. It has a different API and your source code and build options will need to be changed to use it.
To remove this ancient GLFW:
$ sudo apt remove libglfw-dev glfw2
I like to install GLFW from Github. You could also get one of its stable releases, the installation steps would be the same for either.
$ git clone https://github.com/glfw/glfw.git
- Build the library. Note that we request CMake to create shared library files. Why this is not the default on Linux puzzles me!
$ cd glfw
$ mkdir build
$ cd build
$ cmake -D BUILD_SHARED_LIBS=ON ..
$ sudo make install
Note that I highly recommend using checkinstall as described here instead of doing this.
- Update the dynamic linker cache, so that the
libglfw.so shared library file can be loaded at runtime:
$ sudo ldconfig
If you do not do this, you get an error similar to that described here.
- To use GLFW 3.x calls in your code, include the header file:
- To link and build your code use the library directive:
-lglfw to your build options or CMake.
Tried with: GLFW 20150825 and Ubuntu 14.04