error in cmake compiling caffe and matlab - caffe

I am trying to build the caffe library from here on my Kubuntu 17.04. I want to compile it with Matlab and have installed Matlab 2015a which is supposed to work.
However, when I run
ccmake ..
and change build Matlab to ON and then run configure, I always get
CMake Error at cmake/Utils.cmake:357 (message):
Logic error. Need to update cmake script
Call Stack (most recent call first):
matlab/CMakeLists.txt:38 (caffe_parse_linker_libs)
Have anyone experienced this?

Related

Octave: Loaded package is not recognized

I have installed package image via pkg install -forge image and after tons of warnings (I am using clang as a C compiler, yeah, I know...) it finished installing.
I then loaded the package with ordinary pkg load image and Octave did not complain. But when I typed help viscircles to get some help on the function, Octave behaved like there was no package image, meaning it returned
>> help viscircles
error: help: the 'viscircles' function belongs to the image package
from Octave Forge but has not yet been implemented.
Please read <http://www.octave.org/missing.html> to learn how you can
contribute missing functionality.
Now I executed the pkg list to see if the package was indeed installed and loaded and yes, it was (there was an asterisk next to image package, which indicates that the certain package is loaded).
I decided to unload all packages and so I did. Now, before loading image again, I executed help viscircles again, but this time I got the next error:
>> help viscircles
error: help: the 'viscircles' function belongs to the image package
from Octave Forge which you have installed but not loaded. To load the
package, run 'pkg load image' from the Octave prompt.
Interesting... I loaded the package again and same problem as before. I also downloaded the package manually and reinstalled it, same problems.
And yes, I have Octave 4.0.2, the requirements for image 2.6.2 is version 4.0.0+.
The function viscircles is on development versions of the image package only. It is not part of the current release, version 2.6.2 which you have installed.
The error message:
>> help viscircles
error: help: the 'viscircles' function belongs to the image package
from Octave Forge which you have installed but not loaded. To load the
package, run 'pkg load image' from the Octave prompt.
means that the function is not part of Octave and if it is to exist at all, it will be on the image package. It doesn't mean that the image package will actually have it, only that it belongs to it. The error message you get after loading the package:
>> help viscircles
error: help: the 'viscircles' function belongs to the image package
from Octave Forge but has not yet been implemented.
Please read <http://www.octave.org/missing.html> to learn how you can
contribute missing functionality.
tells you the issue. The function viscircles is not implemented on that version of the package.
You can get it from the mercurial repository of the image package though at 75df28049249. Not sure if it will work on Octave 4.0 though.

can't find any solution for running f2py correctly on my windows 7 machine

Can someone pinpoint where I'm doing wrong, PLEASE? I'm so exhausted. I installed MinGW 4.7, python2.7.8, numpy 1.7.1 and scipy0.13.2 to an Anaconda (32bit) environment in Windows7.
Also, for user enviroment variables, I set
C_INCLUDE_PATH:
D:\Anaconda2\envs\arc103\MinGW\i686-w64-mingw32\include
Path (User variable):
C:\Program Files (x86)\Microsoft VS code\bin;D:\Anaconda2\Library\bin;D:\Anaconda2\envs\arc103\MinGW\bin
Tying the following commands in Anaconda Prompt
"f2py -c --help-fcompiler" outputs "... Fortran compilers found:
--fcompiler=gnu95 GNU Fortran 95 compiler (4.7.0) ...."
"f2py -c --help-compiler" outputs
"List of available compilers: ...", not specifically compilers found though.
Running "f2py -c fib1.f -m fib1" according to "NumPy v1.12.dev0 Manual" gives me lots of error as below:
D:\Anaconda2\envs\arc103\Scripts\gfortran.bat -Wall -Wall -shared c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\users\dkim1\appdata\local\temp\tmpvyedhg\src.win32-.7\fib1module.oc:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\users\dkim1\appdata\local\temp\tmpvyedhg\src.win32-2.7\fortranobject.o c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\fib1.o -Ld:\anaconda2\envs\arc103\mingw\lib\gcc\i686-w64-mingw32\4.7.0 -LD:\Anaconda2\envs\arc103\libs -LD:\Anaconda2\envs\arc103\PCbuild -lpython27 -lgfortran -o .\fib1.pyd
c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\users\dkim1\appdata\local\temp\tmpvyedhg\src.win32-2.7\fib1module.o:fib1module.c:(.text+0x35): undefined reference to `__imp__PyNumber_Int'
c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\users\dkim1\appdata\local\temp\tmpvyedhg\src.win32-2.7\fib1module.o:fib1module.c:(.text+0x68): undefined reference to `__imp__PyComplex_Type'
c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\users\dkim1\appdata\local\temp\tmpvyedhg\src.win32-2.7\fib1module.o:fib1module.c:(.text+0x79): undefined reference to `__imp__PyType_IsSubtype'
c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\users\dkim1\appdata\local\temp\tmpvyedhg\src.win32-2.7\fib1module.o:fib1module.c:(.text+0x93): undefined reference to `__imp__PyErr_Occurred'
... (Thousands of "undefined reference to" errors I didn't put it here) ...
collect2.exe: error: ld returned 1 exit statuserror: Command "D:\Anaconda2\envs\arc103\Scripts\gfortran.bat -Wall -Wall -shared c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\users\dkim1\appdata\local\temp\tmpvyedhg\src.win32-2.7\fib1module.o
c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\users\dkim1\appdata\local\temp\tmpvyedhg\src.win32-2.7\fortranobject.o
c:\users\dkim1\appdata\local\temp\tmpvyedhg\Release\fib1.o -Ld:\anaconda2\envs\arc103\mingw\lib\gcc\i686-w64-mingw32\4.7.0 -LD:\Anaconda2\envs\arc103\libs
-LD:\Anaconda2\envs\arc103\PCbuild -lpython27 -lgfortran -o .\fib1.pyd" failed with exit status 1
Sorry for the mess. I have spent almost a few months finding out the fix, but it's too hard for me and all gone to no avail. It would be hugely appreciated if you can help me out. Thanks.
Since this is a couple month old, I am not sure if these tips will still help, but I found when building a Fortran to Python module on Win 10, that only compiling for 32bit worked, and you need to use a signature file, i.e. something along the lines of:
f2py.py -c cuncsd.pyf cuncsd.f
Instead of using the i686-w64-mingw32 toolchain I used a straight mingw32 one (to reduce the risk that I accidentally end up with anything 64bit).
I also found that you need to install a special Visual Studio for Python instance as described here:
Microsoft Visual C++ Compiler for Python 3.4
If you are using Python 2.7 this VSC version should do the trick for you, only newer version (3.5, 3.6) are left out at this time.
For reference here is my complete f2py invocation on the console that I ended up using (neither python nor f2py were on the execution PATH):
python C:\Python34\Scripts\f2py.py -c cuncsd.pyf --opt="-frecursive -fmax-stack-var-size=66560" cuncsd.f -llapack -lrefblas -ltmglib
This particular module depends on 32 bit LAPCK shared libraries that I compiled previously, and we found it even works on XP systems.
I later went back and tried to compile this for 64 bit, but eventually gave up, when I always encountered ld errors. I think going forward for Windows 10 it will be much easier to use the embedded Ubuntu to execute and extend Python.
(See How to enable Bash in Windows 10 developer preview? and Getting PyCharm to recognize python on the windows linux subsystem (bash on windows))

Octave not compiling, confused by build error

I'm a modest user of Linux; but I appear to have hit a wall here when building Octave.
I need to use Octave 4.0.0 on (64-bit) Ubuntu 14.04, and it seems the only option for me (so far) is to build from source (as the repos apparently don't offer anything prebuilt for this version yet). Anyway, I do
./configure
make
...and then get this:
/usr/bin/ld: /usr/local/lib/libGraphicsMagick.a(magick_libGraphicsMagick_la-analyze.o): relocation R_X86_64_32 against `.gomp_critical_user_GM_GetImageDepthCallBack' can not be used when making a shared object; recompile with -fPIC
/usr/local/lib/libGraphicsMagick.a: error adding symbols: Bad value
collect2: error: ld returned 1 exit status
I figured this was because my graphicsmagick install wasn't build with -fPIC. So I downloaded graphicsmagick and did
./configure --with-shared
and built out a new graphicsmagick (make install). Still the same error. So I tried to "force it" by doing the following to graphicsmagick:
./configure CCSHARED="-fPIC" CXXFLAGS="-fPIC"
This time I did a search within the generated Makefile and found -fPIC was, indeed, added to the CXXFLAGS. But after making and install the new graphicsmagick, I still get the same error.
This seems like a build chain problem that I've caused. Any thoughts?
Try with:
./configure --enable-shared --disable-static

libgflags bad value error for caffe

I've linked all the required libraries and the caffee confige ran smoothly. But when I want to make the library I get this error:
/usr/bin/ld: /usr/local/lib/libgflags.a(gflags.cc.o): relocation R_X86_64_32S against `std::basic_string, std::allocator >::_Rep::_S_empty_rep_storage' can not be used when making a shared object; recompile with -fPIC
/usr/local/lib/libgflags.a: could not read symbols: Bad value
I found a 'workaround' for this problem at the libgflags and glog troubleshooting websites:
https://code.google.com/p/google-glog/issues/detail?id=201
But I tried them and it doesn't seem to work. Am I missing something? Maybe I haven't uncommented a line in my original Makefile.config file? *I am installing caffe on my laptop with no CUDA or parallel computing for now.
Try recompiling the gflags library with -fPIC compiler flag.
Did the caffe work using gflags shared library instead of using the static one?
Try to choose 'BUILD SHARED LIBS' option when using Cmake

Octave imread function

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.