I need to build the log4cxx library on a SuSE linux system where I am not root. The package manager, zypper, apparently does not know about log4cxx.
I download log4cxx and try to build with autotools
./configure
checking for APR... no
configure: error: APR could not be located. Please use the --with-apr option.
I then search for libapr:
find / -name libapr*
/usr/share/doc/packages/libapr-util1
/usr/share/doc/packages/libapr1
/usr/lib64/libaprutil-1.so.0.3.12
/usr/lib64/libapr-1.so.0.4.5
/usr/lib64/libaprutil-1.so.0
/usr/lib64/libapr-1.so.0
So I try
./configure --with-apr=/usr/lib64/libapr-1.so.0
configure: error: the --with-apr parameter is incorrect. It must specify an install prefix, a build directory, or an apr-config file.
The same for --with-apr=/usr/lib64/libapr-1.so.0.4.5 and --with-apr=/usr/lib64/.
Which file does ./configure look for? What does --with-apr expect? Is one of the two *.so.* files the needed library?
You'll probably want to install libapr1-devel so that you can compile against it. Then try re-running ./configure.
I ran into the same issue, I think you're using the source code off of appache's site which I beleive is outdated. This issue has been fixed in the SVN trunk several years ago (lolol, I guess right around the time this question was asked).
Just pull the svn trunk's source and compile it:
svn checkout http://svn.apache.org/repos/asf/incubator/log4cxx/trunk apache-log4cxx
./autogen.sh
./configure
make
make check
sudo make install
On software.opensuse.org someone has packages built for recent versions of openSUSE as well as SLE at liblog4cxx10. Maybe that'll work for you instead of building your own.
MichaelGoren is right.
There is multiple ".h" file missing.
So you have to add them before launching make.
sed -i '1i#include <string.h>\n' src/main/cpp/inputstreamreader.cpp
sed -i '1i#include <string.h>\n' src/main/cpp/socketoutputstream.cpp
sed -i '1i#include <string.h>\n' src/examples/cpp/console.cpp
sed -i '1i#include <stdio.h>\n' src/examples/cpp/console.cpp
I bumped into the same problem on 3.3.4-5.fc17.x86_64 and resolved it by including the appropriate H files to the CPP files reported by the make utility.
In my case I should run the make utility 3 times each time getting a new error and fixing it by adding the appropriate include H to the reported CPP file.
The main idea is as following:
1) Check by running the man utility, where the function mentioned in the error defined.
For example, man memmove says that it is defined in the string.h header file.
2) Add the appropriate include file to the CPP file.
For example, the make utility complains that inputstreamreader.cpp does not find the memmove function. Open the inputstreamreader.cpp file and add string.h to its header files.
3) Run the make utility until the log4cxx is compiled without errors.
Related
I am working on a Linux Redhat server. I am trying to Bootstrap my CMake 3 download files as per How to download, compile, and install CMake on Linux.
I changed 2 lines in the bootstrap file so that I would be using the appropriate GCC/G++ versions:
# Toolchain compiler name table.
cmake_toolchain_Clang_CC='clang'
cmake_toolchain_Clang_CXX='clang++'
# cmake_toolchain_GNU_CC='gcc'
cmake_toolchain_GNU_CC='/inf/projdig/users/{username}/gcc_install/bin/gcc'
#cmake_toolchain_GNU_CXX='g++'
cmake_toolchain_GNU_CXX='/inf/projdig/users/{username}/gcc_install/bin/g++'
cmake_toolchain_PGI_CC='pgcc'
cmake_toolchain_PGI_CXX='pgCC'
cmake_toolchain_PathScale_CC='pathcc'
cmake_toolchain_PathScale_CXX='pathCC'
cmake_toolchain_XL_CC='xlc'
cmake_toolchain_XL_CXX='xlC'
But, it seems like bootstrap is still referencing some compiler-related files in the root directories even though I want it to only reference these:
/inf/projdig/users/{username}/gcc_install/bin/gcc and
/inf/projdig/users/{username}/gcc_install/bin/g++
Please see this error:
What should I change in the Bootstrap file so that nothing in /usr/... is referenced, and only
/inf/projdig/users/{username}/gcc_install/bin/gcc and
/inf/projdig/users/{username}/gcc_install/bin/g++
are referenced?
UPDATE
Okay, I did manage to fix some problems by specifying
-L/{path to correct libstdc++} compiler option.
However, at the very end of the bootstrap script, this line doesn't work:
I can't just fix it by adding a -L compiler option because this does not invoke a compiler. It's invoking CMake. This command above produces the same error (ie. it searches /usr/lib64 for the libraries, which is the path I don't want it to look through). How can I let CMake look at a different path for libraries? What option should I specify after .../cmake ?
I'm trying to use tensorflow as a external library in my C++ application (mainly following this tutorial). What I done so far:
I have cloned the tensorflow reporitory (let's say, that the repo root dir is $TENSORFLOW)
Run /.configure (which all settings default, so no CUDA, no OpenCL etc.).
Build shared library with bazel build -c /opt //tensorflow:libtensorflow_cc.so (build completed successfully)
Now I'm trying to #include "tensorflow/core/public/session.h". But after including it (and adding $TENSORFLOW and $TENSORFLOW/bazel-genfiles to include path), I'm receiving error:
$TENSORFLOW/tensorflow/third_party/eigen3/unsupported/Eigen/CXX11/Tensor:1:42:
fatal error: unsupported/Eigen/CXX11/Tensor: No such file or directory
There is a github issue created for similar problem, but it's marked as closed without any solution provided. Also I tried with master branch as well as v.1.4.0 release.
Do you happen to know, what could cause this kind of problem and how to deal with it?
I (and many others) agonized over the same problem. It probably can be solved using bazel but I don't know that tool well enough and now I solve this using make. The source of confusion is that a file named Tensor is included and it itself includes a file named Tensor, which has caused some people to wrongly conclude Tensor is including itself.
If you built and installed the python .whl file there will be a tensorflow directory in dist-packages and an include directory below that, e.g. on my system:
/usr/local/lib/python2.7/dist-packages/tensorflow/include
From the include directory
find . -type f -name 'Tensor' -print
./third_party/eigen3/unsupported/Eigen/CXX11/Tensor
./external/eigen_archive/unsupported/Eigen/CXX11/Tensor
The first one has
#include "unsupported/Eigen/CXX11/Tensor"
and the file that should satisfy this is the second one.
So to compile session.cc that includes session.h, the following will work
INC_TENS1=/usr/local/lib/python2.7/dist-packages/tensorflow/include/
INC_TENS2=${INC_TENS1}external/eigen_archive/
gcc -c -std=c++11 -I $INC_TENS1 -I $INC_TENS2 session.cc
I've seen claims that you must build apps from the tensorflow tree and you must use bazel. However, I believe all the header files you need are in dist-packages/tensorflow/include and at least for starters you can construct makefile or cmake projects.
Slightly off-topic, but I had the same error with a C++ project using opencv-4.5.5 and compiled with Visual Studio (no problem with opencv-4.3.0, and no problem with MinGW).
To make it work, I had to add to my root CMakeLists.txt:
add_definitions(-DOPENCV_DISABLE_EIGEN_TENSOR_SUPPORT)
If that can help someone...
the problem was actually in the relative path of the header file taken in the Tensor file.
installed path for Tensor is /usr/include/eigen3/unsupported/Eigen/CXX11/Tensor
but mentioned in the Tensor file is "unsupported/Eigen/CXX11/Tensor"
So there should be an entry upto /usr/include/eigen3/ in the project path to run this correctly so that it can be used.
I'm trying to build xerces in Ubuntu. I am getting a file not found error with one of the headers. This is a basic question but how does the compiler know the location of xercesc? I have defined XERCESROOT, does it use that?
#include <xercesc/dom/DOMLSInput.hpp>
https://xerces.apache.org/xerces-c/program-dom-3.html
The compiler knows the location of the header files based on the build configuration. In gcc it is possible to define the header directory through -I flag (e.g. -I/usr/local/include).
In order to check which directory the compiler is looking for your header file see the string showing the last compiler command before the error.
You have to find something like gcc -I etc... where directory is the directory where it is searching.
Anyway, I've just compiled xerces-c-3-1-3 from command line on my Ubuntu 14.04 LTS without defining XERCES_ROOT using the following steps:
Download from this site
tar zxvf xerces
./configure
make
and it works without error.
I have installed two versions of opencv in my ubuntu12.04 machine , one in /usr/local/ (opencv3.0.0) and another in /usr/ (opencv2.4.9).
To activate particular version i am using these commands in terminals.
Example :To activate opencv2.4.9,
sudo sh -c 'echo "/usr/" > /etc/ld.so.conf.d/opencv.conf' (shell script)
sudo ldconfig
export PKG_CONFIG_PATH=/usr/lib/pkgconfig
After executing these commands version is changing.
Checked with command, pkg-config --modversion opencv.
Then i compiled my code and checked used libraries, Using ldd command,
It is listing opencv3.0.0 version not opencv2.4.9.
Please help correct way of switching opencv versions.
Thanks in advance
Thank you,
I found a solution for this problem, but I am not sure the solution what iIfound is correct way or not. But it is working fine for me.
When we install two versions of opencv in different locations,we will found two opencv.pc file in {path}/lib/pkgconfig/opencv.pc.
In above example opencv2.4.9's opencv.pc file is in this path usr/lib/pkgconfig/opencv.pc.
and opencv3.0.0's opencv.pc file is in this path /usr/local/lib/pkgconfig/opencv.pc
When we compile a code it will search in both location for opencv.pc configuration file, it will use which ever first it is getting, neglecting second one.
so if want compile code with particular version we need to remove this opencv.pc file from that location.
If you want to use opencv2.4.9 remove(or rename)opencv.pc from opencv3.0.0's lib/pkgconfig/ location. Again if want activate opencv3.0.0 add opencv.pc to its lib/pkgconfig/ location and remove opencv2.4.9's opencv.pc file from /lib/pkgconfig/opencv.pc.
If somebody knows a better way to do this, please comment.
You still can install both versions and append on the environment path the path of the version you want to use.
If you don't know how to change system path check this ( How to permanently set $PATH on Linux? )
I'm trying to get up and running with Boost, so I'm trying to compile the simple example problem from Boost's "Getting Started" page. I've had two issues, and I'm not sure they're related (I'm better than a novice, but not by much) but maybe they're related...
1st issue: the "tar --bzip2 -xf /path/to/boost_1_49_0.tar.bz2" command didn't work (yes, I put the correct path in, but it gave me some errors, I forget what they were) so I used "tar -xjvf " from the directory where boost_1_49_0.tar.bz2 was located. That de-compressed the zip file and I proceeded with the example...
2nd issue: The example.cpp file will not compile, the first statement in the code is #include "boost/lambda/lambda.hpp" but then for every header file lambda.hpp is trying access, there's a "No such file or directory" compile error. For example, here are two (of the six, and I get errors for all 6) header files within lambda.hpp and the errors displayed by the cygwin compiler:
boost/lambda/lambda.hpp:14:33: boost/lambda/core.hpp: No such file or directory
boost/lambda/lambda.hpp:21:52: boost/lambda/detail/operator_actions.hpp: No such file or directory
If it helps, this is the command I'm running to compile (I generally create the executable in a separate -o command):
g++ -c example.cpp
Why can't the system find these? I added the installed directory (path/to/boost_1_49_0) to the PATH variable before I started so I know that's no it. Thanks for any advice...
(I've looked on stackoverflow and there were similar issues, but no solutions that worked)
It looks like you've already solved the first issue: namely, that you must specify the -j flag on tar to untar a bzip2'd file.
For the second issue, you need to specify boost on your include path, either by specifying it with the -I command line option or via the CPLUS_INCLUDE_PATH environment variable.