Software info:
Linux Kernel: 4.14.83-1-MANJARO
R: 3.5.1
Rcpp: 1.0.0
g++ g++ (GCC) 8.2.1 20180831
I'm trying to install the later package from CRAN, but it fails due to a compilation error and I can't figure out whether there is something wrong with my own configuration or the package. The installation stops after the call
g++ -I"/usr/include/R/" -DNDEBUG -pthread -DTHREADS_H_SUPPORT=1 -I"/home/karpfen/R-libs/Rcpp/include" -I"/usr/lib/R/library/BH/include" -D_FORTIFY_SOURCE=2 -fopenmp -fpic -march=x86-64 -mtune=generic -O2 -pipe -fstack-protector-strong -fno-plt -c timestamp_win32.cpp -o timestamp_win32.o
with the error message
make: *** No rule to make target '-fopenmp', needed by 'later.so'. Stop.
Rcpp and other packages depending on it work as expected. Is there anything that I could be doing wrong here? I tried reinstalling R + packages already, but no changes here.
Edit:
The first few lines of the installation output are
* installing *source* package ‘later’ ...
** package ‘later’ successfully unpacked and MD5 sums checked
Running configure script
Using CC=gcc
Using CFLAGS=-march=x86-64 -mtune=generic -O2 -pipe -fstack-protector-strong -fno-plt
Using CPPFLAGS=-D_FORTIFY_SOURCE=2
C11-style threads.h support detected.
Edit2:
System information (from /etc/lsb-release)
DISTRIB_ID=ManjaroLinux
DISTRIB_RELEASE=18.0.0
DISTRIB_CODENAME=Illyria
DISTRIB_DESCRIPTION="Manjaro Linux"
Related
I am trying to use gdb to debug an hdf5 C++ application that I have written. The h5 package that I am using was installed using conda. The command that I am using is:
h5c++ hdf5.cpp
This generates an executable which I then run with gdb as follows:
gdb a.out
gdb launches alright. But when I add breakpoint using:
b 10
or any line number, it gives a message: No line 10 in file "init.c"
When I press run, it runs the whole program at once (which I don't want) and exits. The h5c++ -show command gives the following output:
x86_64-conda_cos6-linux-gnu-c++ -I/i3c/hpcl/sms821/software/tensorflow/anaconda2/include -D_FORTIFY_SOURCE=2 -O2 -g -fvisibility-inlines-hidden -std=c++17 -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -pipe -I/i3c/hpcl/sms821/software/tensorflow/anaconda2/include -fdebug-prefix-map==/usr/local/src/conda/- -fdebug-prefix-map==/usr/local/src/conda-prefix -L/i3c/hpcl/sms821/software/tensorflow/anaconda2/lib /i3c/hpcl/sms821/software/tensorflow/anaconda2/lib/libhdf5_hl_cpp.a /i3c/hpcl/sms821/software/tensorflow/anaconda2/lib/libhdf5_cpp.a /i3c/hpcl/sms821/software/tensorflow/anaconda2/lib/libhdf5_hl.a /i3c/hpcl/sms821/software/tensorflow/anaconda2/lib/libhdf5.a -L/i3c/hpcl/sms821/software/tensorflow/anaconda2/lib -Wl,-O2 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,-rpath,/i3c/hpcl/sms821/software/tensorflow/anaconda2/lib -L/i3c/hpcl/sms821/software/tensorflow/anaconda2/lib -g -lrt -lpthread -lz -ldl -lm -Wl,-rpath -Wl,/i3c/hpcl/sms821/software/tensorflow/anaconda2/lib
I think this has to do with the compiler the compiler that it is using. I tried replacing x86_64-conda_cos6-linux-gnu-c++ with my native g++ compiler in the h5c++ script but that gives linker error.
Please suggest how should make my h5 application work with gdb. Should I install hdf5 from source since I don't have sudo access? I am working on a Linux machine.
I simply installed hdf5 from the source files. While configuring the installation I turned the --enable-build-mode and --enable-symbol switches. Hdf5 has a dependency on szip which I also installed from source code. My exact configuration was as follows:
./configure --prefix=<hdf5 install directory> --enable-cxx --enable-build-mode=debug --enable-symbols=yes --enable-profiling=yes --with-szlib=<szip install directory>
The above solution worked and I was able to compile my h5 application using h5c++ hdf5.cpp and also use gdb to debug it.
Ubuntu 17.10
GCC Version: 5.4
Bazel Version: 0.9.0
TensorFlow: r1.5
CUDA 8.0 / cuDNN 6 / GTX 1080 Ti
How do I make Bazel use gcc for building TensorFlow from source?
While building, its running into compiler errors like:
error: 'errno' was not declared in this scope
while (nanosleep(&ts, &ts) != 0 && errno == EINTR) {}
Setting --verbose_failures flag, it shows that its not using /usr/bin/gcc-5 or /usr/bin/gcc for compiling
external/local_config_cuda/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc -U_FORTIFY_SOURCE '-D_FORTIFY_SOURCE=1' -fstack-protector -fPIE -Wall -Wunused-but-set-parameter -Wno-free-nonheap-object -fno-omit-frame-pointer -g0 -O2 -DNDEBUG -ffunction-sections -fdata-sections -g0 -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK '-march=native' '-std=c++11' -g0 -MD -MF
Searching online, I found that the path to gcc and CC, CXX variables must be set in tools/cpp/CROSSTOOL. But where exactly is tools/cpp/CROSSTOOL?? How do I force bazel to use gcc-5?
I know next to nothing about cuda and tensorflow, but tensorflow doesn't use the same C++ toolchain that bazel autoconfigures when compiling with cuda, so the CC env variable trick won't work. The file crosstool_wrapper_driver_is_not_gcc is just a shell wrapper that could in theory still call your gcc (or it will be cuda). I'd run bazel with --subcommands to see the complete invocation of the failing action, then reproduce without bazel, and then go from there.
Environment info
Operating System:
macOS 10.12.2 (16C68)
Compiler:
gcc-6
Steps to reproduce
I've installed gcc-6 and modified config.mk as required into
export CC = gcc-6
export CXX = g++-6
But keep having this error:
g++-6 -c -std=c++0x -Wall -Wno-unknown-pragmas -Iinclude -Idmlc-core/include -Irabit/include -O3 -funroll-loops -msse2 -fPIC -fopenmp src/learner.cc -o build/learner.o
FATAL:/opt/local/bin/../libexec/as/x86_64/as: I don't understand 'm' flag!
What have you tried?
Reinstall XCode
Reinstall gcc
Run make clean_all && make -4j
But still went wrong. Any idea?
I had this issue when using macports-installed gnu assembler. You could try forcing the use of as that comes with Xcode, or simply temporarily removing /opt/local/bin from your path.
I solved by uninstalling MacPorts:
sudo port -f uninstall installed
I tried to install RcppEigen on amazon EC2 (on a t1.micro to
make sure It works) & ubuntu 13.04. I tried with both R version was 2.15.2 and 3.0, 32bit ubuntu and 64bit ubuntu. Any time I got the following:
root#ip-10-224-4-239:/home/ubuntu# R CMD INSTALL RcppEigen_0.3.1.2.1.tar.gz
* installing to library ‘/usr/local/lib/R/site-library’
* installing *source* package ‘RcppEigen’ ...
** package ‘RcppEigen’ successfully unpacked and MD5 sums checked
** libs
g++ -I/usr/share/R/include -DNDEBUG -I"/usr/local/lib/R/site-library/Rcpp/include" -I../inst/include -fpic -O2 -pipe -g -c RcppEigen.cpp -o RcppEigen.o
g++ -I/usr/share/R/include -DNDEBUG -I"/usr/local/lib/R/site-library/Rcpp/include" -I../inst/include -fpic -O2 -pipe -g -c fastLm.cpp -o fastLm.o
g++: internal compiler error: Killed (program cc1plus)
Please submit a full bug report,
with preprocessed source if appropriate.
See <file:///usr/share/doc/gcc-4.7/README.Bugs> for instructions.
make: *** [fastLm.o] Error 4
ERROR: compilation failed for package ‘RcppEigen’
* removing ‘/usr/local/lib/R/site-library/RcppEigen’
Anyone has an idea on how to get RcppEigen to run on EC2?
(Rcpp installs flawlessly....)
That looks like a "simple" out of memory issue.
C++ can be demanding as is, and complex template code (which Eigen surely is) demands even more resources. Simply try allocating more memory -- otherwise it is hard to kill g++.
So I recently installed Theano on a python 2.7 environment within Anaconda 3, on windows 10. Theano passed theano.test() at least. I am using example code from deeplearning.net. I heva sucessfully run the first block on the linked page which defines a Theano function. When I go to install pylab via pip install pylab so that I can use skimage for the second block, my installer quits while doing some gcc call for the portion that looks like it says "shared geometry". One thing I noticed right away is the -DEBUG flag is misspelled -DDEBUG. Could this be the cause? Does it have something to do with msvcr90.dll and if so what is that and what do I need to do about it? Also, probably important, I'm using a slightly (6 months or so) outdated TDM-GCC which is 4.9 something. Here is the line in question, as well as a few others that might be interesting:
`copying skimage\_shared\tests\__init__.py -> build\lib.win-amd64-2.7\skimage\_shared\tests
running build_ext
Looking for python27.dll
Cannot build msvcr library: "msvcr90d.dll" not found
customize Mingw32CCompiler
customize Mingw32CCompiler using build_ext
building 'skimage._shared.geometry' extension
compiling C sources
C compiler: gcc -g -DDEBUG -DMS_WIN64 -O0 -Wall -Wstrict-prototypes
creating build\temp.win-amd64-2.7
creating build\temp.win-amd64-2.7\Release
creating build\temp.win-amd64-2.7\Release\skimage
creating build\temp.win-amd64-2.7\Release\skimage\_shared
compile options: '-DNPY_MINGW_USE_CUSTOM_MSVCR -D__MSVCRT_VERSION__=0x0900 -I"C:\Users\USE DIS\Anaconda3\envs\py27\lib\site-packages\numpy\core\include" -I"C:\Users\USE DIS\Anaconda3\envs\py27\include" -I"C:\Users\USE DIS\Anaconda3\envs\py27\PC" -c'
gcc -g -DDEBUG -DMS_WIN64 -O0 -Wall -Wstrict-prototypes -DNPY_MINGW_USE_CUSTOM_MSVCR -D__MSVCRT_VERSION__=0x0900 -I"C:\Users\USE DIS\Anaconda3\envs\py27\lib\site-packages\numpy\core\include" -I"C:\Users\USE DIS\Anaconda3\envs\py27\include" -I"C:\Users\USE DIS\Anaconda3\envs\py27\PC" -c skimage\_shared\geometry.c -o build\temp.win-amd64-2.7\Release\skimage\_shared\geometry.o
Found executable C:\Users\USE DIS\Anaconda3\envs\py27\Scripts\gcc.bat
'C:\Users\USE' is not recognized as an internal or external command,
operable program or batch file.
error: Command "gcc -g -DDEBUG -DMS_WIN64 -O0 -Wall -Wstrict-prototypes -DNPY_MINGW_USE_CUSTOM_MSVCR -D__MSVCRT_VERSION__=0x0900 -I"C:\Users\USE DIS\Anaconda3\envs\py27\lib\site-packages\numpy\core\include" -I"C:\Users\USE DIS\Anaconda3\envs\py27\include" -I"C:\Users\USE DIS\Anaconda3\envs\py27\PC" -c skimage\_shared\geometry.c -o build\temp.win-amd64-2.7\Release\skimage\_shared\geometry.o" failed with exit status 1
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