I am trying to install libde265 from source but one of its dependencies is giving me problems. I also installed this depedency from source but I converted it to an rpm package before completing installation.
When I look for the location of this library I get:
$ whereis libvideogfx
libvideogfx: /usr/local/lib/libvideogfx.la /usr/local/lib/libvideogfx.a /usr/local/lib/libvideogfx.so
The flags I have added to the ./configure command such as LIBS are not working and I don't know the root of the problem.
Related
I am trying to setup a MySQL server using CentOS (No GUI) and I need to switch to OpenSSL instead of YaSSL in order to have access to the encryption tools.
The issues happen when runing the cmake. At first I got the error that cmake was not able to find boost, I fixed this adding the parameter -DWITH_BOOST.
The cmake line is as follows.
cmake . -DWITH_READLINE=ON -DWITH_SSL=system -DWITH_BOOST=/usr/local/src/mysql-5.7.20/boost/
After the adjustment I ran again the CMAKE the I got several errors.
SSL Error, cmake can not find the OpenSSL files. I checked if the library was installed, I also downloaded the tar.gz file and decompress it and pointed the cmake to the folder, none of this worked.
Can not find NUMA libraries, again I checked and it is installed, at this point I ran the system update to check for everything but this did not solve the issue.
Can not find the ncurses, the same thing, is on the system but for some reason cmake is not able to find those.
Can not fin libaio, I didn't have this one installed, I installed, ran cmake again, and again cmake was not able to find it.
I been looking around, trying to figure out all this issues, I've been joining information from different websites but still not able to figure out this.
Thanks ahead to everyone for the help.
You're facing the dependencies hell with MySQL. If you don't really need to compile from the sources, you still can install with the RPM which is much easier. The RPM method is described here : https://dev.mysql.com/doc/mysql-yum-repo-quick-guide/en/
As you're asking a ready-to-go install from the sources, this is what I just did and it worked, on a fresh CentOS 7.4 minimal, 2 vcpus 3Gb :
yum group install -y 'Development Tools'
yum install -y cmake ncurses-devel curl
curl -Ovk https://cdn.mysql.com/Downloads/MySQL-5.7/mysql-5.7.20.tar.gz
tar zxf mysql-5.7.20.tar.gz
cd mysql-5.7.20
cmake . -DDOWNLOAD_BOOST=1 -DWITH_BOOST=$HOME/boost -DENABLE_DOWNLOADS=1
make -j2
make install
After that you need to configure it, add the startup scripts, and of course secure it. Here are some additional docs :
http://howtolamp.com/lamp/mysql/5.6/installing/
https://dev.mysql.com/doc/refman/5.7/en/mysql-secure-installation.html
Perhaps try make clean; cmake clean; ldconfig then run your cmake command. Sometimes the system can't find the shared libraries, and ldconfig refreshes the library search path. This helped once when I was compiling something (emscripten?) which required a lot of libraries which I was installing as compilation errors arose.
The make clean; cmake clean will ensure that the compiler isn't looking at the old library search path when you recompile.
I installed scilab.6.0.0 and backdoor fromscilab website (which I could not find it from Application>Module maneger>atom>Technical). I moved the backdoor file my home and from scilab command line I installed it
-->atomsInstall('/home/user/BackDoor_0.2_5.5.bin.x86_64.linux.tar.gz')
Even though, it installed backdoor successfully, when I restart the scilab I got this error message with backdoor
Start Toolbox BackDoor
Load macros
atomsLoad: An error occurred while loading 'BackDoor-0.2':
lib: Old binary lib detected. Please recompile it for Scilab 6.
As I understand I need to update the library, but I don't know how?
Would sb tell me explicitly (because I am a newbie user of scilab) how can I get over the error?
at the and I try to connect octave and scilab and when I try to run a demo script at octave I get also this error
>> sci_sim_example
Scilab connection failed
FYI: I already installed sci_cosim package (after I downloaded the package, I write to octave prompt >>pkg install sci_cosim_0.1.3.tar.gz), and I load it before running the script.
How can I recompile the lib: Old binary lib detected
Thank you so much for your help in advance
Here's what worked for me.
Download Scilab 5.5.2 (link for Linux 64bit version)
Extract the .tar.gz file in your preferred system location to install it there. Generally, my preferred location to extract / install self-contained packages is inside /opt .
You can extract the .tar.gz file using your filebrowser's graphical facilities, or on the command line; if /opt is owned by root (which it usually is) you may need to change ownership after extraction. E.g. your installation might look something like this:
cd /opt
sudo wget http://www.scilab.org/download/5.5.2/scilab-5.5.2.bin.linux-x86_64.tar.gz
sudo tar -xvzf ./scilab-5.5.2.bin.linux-x86_64.tar.gz
sudo rm scilab-5.5.2.bin.linux-x86_64.tar.gz
sudo chown $USER ./scilab-5.5.2 -R
Launch scilab by typing
/opt/scilab-5.5.2/bin/scilab &
in your terminal.
Once scilab is launched, go to Applications->Module Manager ATOMS. In the new window that comes up, click on All modules -> BackDoor -> Install.
You should get a message saying "Installation done, please restart SciLab".
Exit Scilab, and launch it again from the terminal. If you see a message:
atomsLoad: An error occurred while loading 'BackDoor-0.2':
File "/opt/scilab-5.5.2/share/scilab/contrib/BackDoor/0.2/etc/backdoor.start" does not exist.
then type the following commands in your terminal to rename the affected files:
cd /opt/scilab-5.5.2/share/scilab/contrib/BackDoor/0.2/etc/
mv BackDoor.start backdoor.start
mv BackDoor.quit backdoor.quit
Restart SciLab again. Hopefully this time it will work and SciLab will inform you that BackDoor is listening for connections at a certain port.
PS. Also note that from the octave side of things, the -auto option is no longer accepted when you perform a pkg install. You will need to load the sockets and sci_cosim packages manually each time you want to use this.
I know that I can install Cuda with the following:
wget http://developer.download.nvidia.com/compute/cuda/7_0/Prod/local_installers/cuda_7.0.28_linux.run
chmod +x cuda_7.0.28_linux.run
./cuda_7.0.28_linux.run -extract=`pwd`/nvidia_installers
cd nvidia_installers
sudo ./NVIDIA-Linux-x86_64-346.46.run
sudo modprobe nvidia
sudo ./cuda-linux64-rel-7.0.28-19326674.run
Just wondering if I can install Cuda without root?
Thanks,
Update The installation UI for 10.1 changed. The following works:
Deselect driver installation (pressing ENTERon it)
Change options -> root install path to a non-sudo directory.
Press A on the line marked with a + to access advanced options. Deselect create symbolic link, and change the toolkit install path.
Now installation should work without root permissions
Thank you very much for the hints in the question! I just want to complete it with an approach that worked for me, also inspired in this gist and that hopefully helps in situations where a valid driver is installed, and installing a more recent CUDA on Linux without root permissions is still needed.
TL;DR: Here are the steps to install CUDA9+CUDNN7 on Debian, and installing a pre-compiled version of TensorFlow1.4 on Python2.7 to test that everything works. Everything without root privileges and via terminal. Should also work for other CUDA, CUDNN, TensorFlow and Python versions on other Linux systems too.
INSTALLATION
Go to NVIDIA's official release web for CUDA (as for Nov. 2017, CUDA9 is out): https://developer.nvidia.com/cuda-downloads.
Under your Linux distro, select the runfile (local)option. Note that the sudo indication present in the installation instructions is deceiving, since it is possible to run this installer without root permissions. On a server, one easy way is to copy the <LINK> of the Download button and, in any location of your home directory, run wget <LINK>. It will download the <INSTALLER> file.
Run chmod +x <INSTALLER> to make it executable, and execute it ./<INSTALLER>.
accept the EULA, say no to driver installation, and enter a <CUDA> location under your home directory to install the toolkit and a <CUDASAMPLES> for the samples.
Not asked here but recommended: Download a compatible CUDNN file from the official web (you need to sign in). In my case, I downloaded the cudnn-9.0-linux-x64-v7.tgz, compatible with CUDA9 into the <CUDNN> folder. Uncompress it: tar -xzvf ....
Optional: compile the samples. cd <CUDASAMPLES> && make. There are some very nice examples there and a very good starting point to write some CUDA scripts of yourself.
(If you did 5.): Copy the required files from <CUDNN> into <CUDA>, and grant reading permission to user (not sure if needed):
cp -P <CUDNN>/cuda/include/cudnn.h <CUDA>/include/
cp -P <CUDNN>/cuda/lib64/libcudnn* <CUDA>/lib64
chmod a+r <CUDA>/include/cudnn.h <CUDA>/lib64/libcudnn*
Add the library to your environment. This is typically done adding this following two lines to your ~/.bashrc file (in this example, the <CUDA> directory was ~/cuda9/:
export PATH=<CUDA>/bin:$PATH
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:<CUDA>/lib64/
FOR QUICK TESTING OR TENSORFLOW USERS
The quickest way to get a TensorFlow compatible with CUDA9 and CUDNN7 (and a very quick way to test this) is to download a precompiled wheel file and install it with pip install <WHEEL>. Most of the versions you need, can be found in mind's repo (thanks a lot guys). A minimal test that confirms that CUDNN is also working involves the use of tf.nn.conv2d:
import tensorflow as tf
x = tf.nn.conv2d(tf.ones([1,1,10,1]), tf.ones([1,5,1,1]), strides=[1, 1, 1, 1], padding='SAME')
with tf.Session() as sess:
sess.run(x) # this should output a tensor of shape (1,1,10,1) with [3,4,5,5,5,5,5,5,4,3]
In my case, the wheel I installed required Intel's MKL library, as explained here. Again, from terminal and without root users, this are the steps I followed to install the library and make TensorFlow find it (reference):
git clone https://github.com/01org/mkl-dnn.git
cd mkl-dnn/scripts && ./prepare_mkl.sh && cd ..
mkdir -p build && cd build
cmake -D CMAKE_INSTALL_PREFIX:PATH=<TARGET_DIR_IN_HOME> ..
make # this takes a while
make doc # do this optionally if you have doxygen
make test # also takes a while
make install # installs into <TARGET_DIR_IN_HOME>
add the following to your ~/.bashrc: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:<TARGET_DIR_IN_HOME>/lib
Hope this helps!
Andres
You can install using conda with the following command.
conda install -c anaconda cudatoolkit
But you need to have prior accesss to the device(GPU).
EDIT : If you are finding error in anaconda repository then change the repository to conda-forge which is frequently updated.
conda install -c conda-forge cudatoolkit
You can install CUDA and compile programs, but you won't be able to run them for a lack of device access.
I installed latest Octave on Ubuntu 14.04 machine. However, when I tried to run imread command, it showed the following error message:
octave:12> imread('newfile.png')
error: imread: invalid image file: /usr/lib/x86_64-linux-gnu/octave/3.8.1/oct/x86_64-pc-linux-gnu/__magick_read__.oct: failed to load: /usr/lib/x86_64-linux-gnu/octave/3.8.1/oct/x86_64-pc-linux-gnu/__magick_read__.oct: undefined symbol: _ZN6Magick5ColorC1Ehhh
error: called from:
error: /usr/share/octave/3.8.1/m/image/private/__imread__.m at line 181, column 7
error: /usr/share/octave/3.8.1/m/image/private/imageIO.m at line 66, column 26
error: /usr/share/octave/3.8.1/m/image/imread.m at line 107, column 30
Can someone please suggest how to solve it?
Thanks!
Following these steps worked for me [Author: Christoffer Cronström (hymyly)]:
Install the dev packages needed to build octave.
sudo apt-get build-dep octave
Get the official source package. Do this in a clean directory, because it will get polluted.
cd ~/some/suitable/directory
apt-get source octave
Build it. This took roughly an hour for me.
cd octave-3.8.2
dpkg-buildpackage
Either run it from the build directory:
./run-octave
...or most preferably install it over the official octave:
cd ..
sudo dpkg --install octave_3.8.2-4_amd64.deb
From: https://bugs.launchpad.net/ubuntu/+source/octave/+bug/1372202
How did you instal Octave? The error suggests that you're missing GraphicsMagick C++ interface (package libgraphicsmagick++3) but
if you installed Octave from Ubuntu's package manager you should not have had this problem; * if you compiled it yourself, Octave should have disabled imread completely and you'd have a very different error message.
So my guess is that you build it yourself, either with:
your own build of GraphicsMagick++ which are not being loaded anymore, you may need to add their path to the dynamic linker load path (either on /etc/ld.so.conf.d./graphicsmagick or define LD_LIBRARY_PATH);
the libraries from the package manager which you have since accidentally removed (since you did not install Octave from the repositories, your package manager will not know that libgraphicsmagick++ is installed for a reason).
Either way, the solution is easy. Install Octave from Ubuntu's package manager. One of the main reasons package managers exist is to avoid this type of problems, i.e., missing dependencies.
I am trying to build a .rpm package. I have just followed the steps to do that. Till now all steps were gone fine but now i just stuck with this step. I just ran the following command and got this error:
rpmbuild -ba asterisk.spec
error: Failed build dependencies:
gtk2-devel is needed by asterisk-1.8.12.2-1.fc15.x86_64
libsrtp-devel is needed by asterisk-1.8.12.2-1.fc15.x86_64
[... more ...]
freetds-devel is needed by asterisk-1.8.12.2-1.fc15.x86_64
uw-imap-devel is needed by asterisk-1.8.12.2-1.fc15.x86_64
I am using fedora-15. How to resolve this error?
How I do install all depencencies during installation of src.rpm package. Is it possible?
You can use the yum-builddep command from the yum-utils package to install all the build dependencies for a package.
The arguments can either be paths to spec files, paths to source RPMs or the names of packages which exist as source RPMs in a configured repository, for example:
yum-builddep my-package.spec
or
yum-builddep my-package.src.rpm
The same thing can be achieved on newer versions of Fedora that use dnf as their package manager by making sure that dnf-plugins-core is installed and then doing:
dnf builddep my-package.spec
or
dnf builddep my-package.src.rpm
yum-builddep doesn't seem to work if the mirror you use doesn't serve source RPMs. This may not handle all cases, but it usually works for me:
sudo yum install -y $(<rpmbuild> | fgrep 'is needed by' | awk '{print $1}')
where <rpmbuild> is your rpmbuild command (e.g., rpmbuild -ba foo.spec).
On PHP building - especially phpbrew I used dnf builddep php, it worked.