I'm compiling scylladb for execution/ configure.py "Could not find c-are: found unsuitable version" 1.10.0 ", but required isat least" 1.13 "(found / usr / lib64)/ libcares.so ）”, but I have already installed version 1.13 of c-ares
CMake Error at /usr/share/cmake3/Modules/FindPackageHandleStandardArgs.cmake:137 (message):
Could NOT find c-ares: Found unsuitable version "1.10.0", but required is
at least "1.13" (found /usr/lib64/libcares.so)
CentOS 7 lacks packages that Scylla needs to build. If you have Docker installed, you can run
./tools/toolchain/dbuild
this will drop you into an environment where you can ./configure.py and build scylla.
Related
I am trying to find a solution to the error:
OSError: /opt/conda/lib/python3.7/site-packages/torch_sparse/_version_cuda.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs.
arising from the statement from torch_geometric.data import Data in Kaggle notebook.
There are solutions in github and stackoverflow, but none are working.
-- "nvcc --version" shows
"nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Wed_Jul_22_19:09:09_PDT_2020
Cuda compilation tools, release 11.0, V11.0.221
Build cuda_11.0_bu.TC445_37.28845127_0"
I tried to install torch-geometric by
!conda install pyg -c pyg -c conda-forge
!pip install pyg-lib torch-scatter torch-sparse torch-cluster torch-spline-conv torch-geometric -f https://data.pyg.org/whl/torch-1.12.0+cu113.html
from here.
The first statement took more than 1 hour so I moved to the second, which installed it. But the error didn't go.
It is running with out any error in colab.
This issue is mentionned at https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html :
undefined symbol: make_function_schema: This issue signals (1) a version conflict
between your installed PyTorch version and the ${TORCH} version
specified to install the extension packages, or (2) a version conflict
between the installed CUDA version of PyTorch and the ${CUDA} version
specified to install the extension packages. Please verify that your
PyTorch version and its CUDA version match with your installation
command:
python -c "import torch; print(torch.__version__)"
python -c "import torch; print(torch.version.cuda)"
nvcc --version
For re-installation, ensure that you do not run into any caching issues by
using the pip --force-reinstall --no-cache-dir flags. In addition, the
pip --verbose option may help to track down any issues during
installation. If you still do not find any success in installation,
please try to install the extension packages from source.
So, I would try these commands, and re-install all or part of the packages into a fresh environment.
I had cmake 3.9 version on my RHEL 7.6 system. But for some development work, i need 3.12 version.
I downloaded the https://cmake.org/files/v3.12/cmake-3.12.2.tar.gz. Untarred the tar file and
Executed the commands trying to install it. But I am getting errors in each of the below case.
Can anyone please let me know if you have any idea to fix it and get the latest version?
1st trial
./bootstrap --prefix=$HOME
make;make install
CMake Error at cmake_install.cmake:82 (file):
file failed to open for writing (Permission denied):
/workspace/poomanju/_cmake_build/cmake-3.12.2/install_manifest.txt
2nd trial
./bootstrap
make;make install.
3rd trial
./configure
make;make install
I tried the command being root. It seems the installation completes successfully. But when I come out of root privilege and view the version as regular user, I see the version is still 3.9.
bash-4.2$ /usr/local/bin/cmake --version
cmake version 3.12.2
CMake suite maintained and supported by Kitware (kitware.com/cmake).
bash-4.2$ which cmake
/usr/local/bin/cmake
bash-4.2$ cmake --version
CMake Error: Could not find CMAKE_ROOT !!!
CMake has most likely not been installed correctly.
Modules directory not found in
/usr/local/share/cmake-3.9
cmake version 3.9.6
CMake suite maintained and supported by Kitware (kitware.com/cmake).
I have been trying to do a build with cmake3 that involves using protobuf library version >=3.11. I think I correctly installed the compiler at least, since protoc --version returns libprotoc 3.12.3 . However, the library does not seem to be properly linked cor cmake, just the compiler. If I try to do a cmake command, it warns that
Protobuf compiler version 3.12.3 doesn't match library version 2.5.0
which seems off since I installed protobuf 3.12 using the instructions here https://github.com/protocolbuffers/protobuf/tree/master/src. This leads to errors when I try to do the make install when it doesn't recolonize headers introduced in later versions.
Protobuf 2.5.0 is the one that comes with sudo yum install protobuf and I need a more recent version for the cmake installation. Can someone tell me what I am doing wrong so that cmake links the correct library version when compiling? I am on Centos 7 if that matters.
So, I've installed Bazel via Chocolatey, installed Python 3.5 and 2.7, installed CUDA v8, and cuDNN v6, and installed JDK 8.0, I'm now trying to custom-build TensorFlow on my Windows 10 device, with AVX, AVX 2 and CUDA. TensorFlow-GPU, the pre-built version, does work, I've already tested and run that successfully.
I've followed the instructions of other articles, both on TensorFlows' actual site (trying to adapt some sections from the Linux/Mac installs), and on here. The furthest I've made it is; cloning the Github repository via Msys2, running configure.py, then attempting to build via bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package I receive an error, the header of which is:
Error reading java.io.IOException: CreateProcess(): The system cannot find the file specified.
: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/include/cudnn.h
I've double checked, that file does exist, so I'm not sure why I'm getting this error.
EDIT: Also attempted to run via Powershell, reached the same point.
Any help would be much appreciated.
I had the exact same error while trying to build Tensorflow on Windows (using cuDNN 5.1). I fixed it by launching bazel from the msys2 terminal (instead of from the windows command prompt) and manually setting the BAZEL_SH environment variable before attempting to build.
export BAZEL_SH=c:/tools/msys64/usr/bin/bash.exe
bazel build -c opt --config=win-cuda tensorflow/cc:cc_ops
The following steps helped me to compile Tensorflow on Windows 10.
pacman -Syuu patch
ln -s "c:\python27\python.exe" /usr/bin/python
export BAZEL_SH=c:/tools/msys64/usr/bin/bash.exe
"C:\Documents and Settings\All Users\chocolatey\bin\bazel.exe" build --config=opt --config=win-cuda //tensorflow/tools/pip_package:build_pip_package
But after 1 hour of compilation I got another error:
C:\tools\msys64\tmp_bazel_dmitry\x1e5egqw\execroot\org_tensorflow\external\protobuf_archive\python\google\protobuf\internal\api_implementation.cc
: fatal error C1083: Cannot open compiler generated file: '': Invalid
argument Target //tensorflow/tools/pip_package:build_pip_package
failed to build
This first time for me to install Tensorflow. I followed the instructions on official website here. I installed from source because I found some people advice to do that instead of pip installation. I used version r0.9 of tensorflow and I installed it on Ubuntu-mate 15.10. I followed all instructions. Installed python, cuda version 7.5, cudnn release 5. Nvidia GPU 5200 with compute capability of 2.1. Every thing went well until I reached bazel build step here,
Latitude-E6430:~/tensorflow$ bazel build -c opt --config=cuda //tensorflow/cc:tutorials_example_trainer
"Latetude-E6430" is the user of the machine.
I got the following errors immediately:
ERROR: /home/meqdad/tensorflow/tensorflow/core/BUILD:91:1: //tensorflow/core:protos_all_py: no such attribute 'imports' in 'py_library' rule.
ERROR: /home/meqdad/tensorflow/tensorflow/cc/BUILD:28:1: Target '//tensorflow/core:sparse_ops_op_lib' contains an error and its package is in error and referenced by '//tensorflow/cc:ops/sparse_ops_gen_cc'.
ERROR: Loading failed; build aborted.
I tried to find a solution to this problem, I was using bazel 0.1 then I upgraded to bazel 0.3. However, on the net, there is several issues like this one but non of them was related to this one. I re-installed py_library but it did nothing to solve the problem.
Please can you advice me how to move on with this step of installation.