I'm trying to install TURN server on windows 8, i'm following THIS LINK,
so he mentioned just Follow all steps from above section.
E.g.
Install all dependencies;
LibEvent and TURN modules. and I don't know how to make those commands work on windows 8
First Step: Download & Install Prerequisite for CentOS:
yum install -y make gcc cc gcc-c++ wget
yum install -y openssl-devel libevent libevent-devel mysql-devel mysql-server
Related
On an Amazon Linux 2 Docker image, "yum install gcc" installs gcc 7.3.1.
I want to install gcc 8. It seems it normally can be installed as part of "devtoolset-8" (https://www.softwarecollections.org/en/scls/rhscl/devtoolset-8/), but the instructions for either CentOS or RHEL seems not working on Amazon Linux.
So the only way to install gcc 8 on Amazon Linux is to install from source?
I also need the devtoolset-8-toolchain, how can that be installed?
Add the scl repo for centos:
sudo yum-config-manager --add-repo http://mirror.centos.org/centos/7/sclo/x86_64/rh/
Install this libgfortran dependency required for devtoolset-8:(source)
sudo yum install -y wget
wget http://mirror.centos.org/centos/7/os/x86_64/Packages/libgfortran5-8.3.1-2.1.1.el7.x86_64.rpm
sudo yum install libgfortran5-8.3.1-2.1.1.el7.x86_64.rpm -y
Install devtoolset-8 with nogpgcheck:(it would be much better to install the key for the repo)
sudo yum install -y devtoolset-8 --nogpgcheck
Finally enable the scl for devtoolset-8:
scl enable devtoolset-8 bash
Running this command shows both the gcc 7 and gcc 8 in the path:
which -a gcc
Output from which -a gcc
/opt/rh/devtoolset-8/root/usr/bin/gcc
/usr/bin/gcc
Building Mesos 1.3.0 from sources on linux-mint release 18.2 I get the following message:
configure: error: cannot find libz
When I try to search packages starts with libz* I get many packages names starting with libz. Which one is the right package I should install it?
Try installing zlib1g-dev. It's listed in the documentation
Linux Mint 18.2 is based on Ubuntu 16.04.
So, you should follow instructions for Ubuntu
16.04.
# Update the packages.
$ sudo apt-get update
# Install a few utility tools.
$ sudo apt-get install -y tar wget git
# Install the latest OpenJDK.
$ sudo apt-get install -y openjdk-8-jdk
# Install autotools (Only necessary if building from git repository).
$ sudo apt-get install -y autoconf libtool
# Install other Mesos dependencies.
$ sudo apt-get -y install build-essential python-dev python-six python-virtualenv libcurl4-nss-dev libsasl2-dev libsasl2-modules maven libapr1-dev libsvn-dev zlib1g-dev
The steps I've taken are below. During the ./configure step, unless I allow the system default for the cuDNN version (v5) instead of specifying v5.1.5 (as I want), I get an error saying that the environment version (v5) for cuDNN doesn't match the target version (5.1.5). Since I have downloaded the cuDNN v5.1.5 file for CUDA 8.0 from Nvidia I'm baffled.
What's more, after digging through https://github.com/tensorflow/tensorflow/blob/master/third_party/gpus/cuda_configure.bzl around line 240, I'm seeing that the version the bazel configure script checks against seems to only take into account the Major numeral of the cuDNN version (my Major, Minor and Patch numerals within cudnn.h are 5, 1, 5 respectively). So, I'm uncertain as to how it would ever allow version 5.1.5 to be installed. Maybe I'm looking at it wrong?
In any case, does anyone have a method of installing cuDNN 5.1.5 with CUDA 8.0 and Tensorflow 0.12 on a g2.2xlarge instance?
Thanks!
Steps
(Note: these work, but it installs cuDNN 5.0, not 5.1.5 as desired)
Provisioning
follow provisioning steps from: https://medium.com/#giltamari/tensorflow-getting-started-gpu-installation-on-ec2-9b9915d95d6f#.2hv67eeek
(i.e. up to but not including: sudo apt-get update && sudo apt-get -y upgrade)
Installing dependencies and tools
familiarize self with:
http://expressionflow.com/2016/10/09/installing-tensorflow-on-an-aws-ec2-p2-gpu-instance/
http://ramhiser.com/2016/01/05/installing-tensorflow-on-an-aws-ec2-instance-with-gpu-support/
https://alliseesolutions.wordpress.com/2016/09/08/install-gpu-tensorflow-from-sources-w-ubuntu-16-04-and-cuda-8-0-rc/
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install -y build-essential git python-pip libfreetype6-dev libxft-dev libncurses-dev libopenblas-dev gfortran python-matplotlib libblas-dev liblapack-dev libatlas-base-dev python-dev python-pydot linux-headers-generic linux-image-extra-virtual unzip python-numpy swig python-pandas python-sklearn unzip wget pkg-config zip g++ zlib1g-dev libcurl3-dev
sudo pip install -U pip
Installing Cuda 8
wget https://developer.nvidia.com/compute/cuda/8.0/prod/local_installers/cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64-deb
sudo dpkg -i cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64-deb
rm cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64-deb
sudo apt-get update
sudo apt-get install -y cuda
Installing cuDNN
We want to download and install latest version of cuDNN. Downloading cuDNN requires logging into NVIDIA developer site, so we can’t use wget to fetch the files. Download the following files from NVIDIA and upload them to your AWS instance.
download cuDNN 5.1 for CUDA 8.0 on linux
scp -i ssh-key.pem path/to/downloaded/cudnn ubuntu#ec2{instance}.us-west-1.compute.amazonaws.com:~/
sudo tar -xzvf cudnn-8.0-linux-x64-v5.1.tgz
sudo cp cuda/include/cudnn.h /usr/local/cuda/include
sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
Configure the Environment
put following at end of ~/.bashrc:
export CUDA_HOME=/usr/local/cuda
export CUDA_ROOT=/usr/local/cuda
export PATH=$PATH:$CUDA_ROOT/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_ROOT/lib64:$CUDA_ROOT/extras/CUPTI/lib64
source ~/.bashrc
sudo reboot
Installing Bazel
sudo add-apt-repository -y ppa:webupd8team/java
sudo apt-get update
echo debconf shared/accepted-oracle-license-v1-1 select true | sudo debconf- set-selections
echo debconf shared/accepted-oracle-license-v1-1 seen true | sudo debconf- set-selections
sudo apt-get install -y oracle-java8-installer
sudo apt-get install pkg-config zip g++ zlib1g-dev
scp https://github.com/bazelbuild/bazel/releases/download/0.3.2/bazel-0.3.2-installer-linux-x86_64.sh from local machine to ec2 instance
chmod +x bazel-0.1.4-installer-linux-x86_64.sh
./bazel-0.1.4-installer-linux-x86_64.sh --user
rm bazel-0.1.4-installer-linux-x86_64.sh
bazel version
Building and Installing Tensorflow
git clone --recurse-submodules https://github.com/tensorflow/tensorflow
cd tensorflow
TF_UNOFFICIAL_SETTING=1 ./configure
hit enter/default for all except:
CUDA version = 8.0, CUDA dependency = 3.0 (k520 gpu)
bazel build -c opt --config=cuda //tensorflow/cc:tutorials_example_trainer
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
sudo pip install --upgrade /tmp/tensorflow_pkg/tensorflow-0.12.0rc1-cp27-cp27mu-linux_x86_64.whl
I am using CentOS 7.2
When I use yum groupinstall "Development Tools", gcc version is 4.8.5, like this:
I would like to install gcc 5.3
How to approach this with yum?
Update:
Often people want the most recent version of gcc, and devtoolset is being kept up-to-date, so maybe you want devtoolset-N where N={4,5,6,7...}, check yum for the latest available on your system). Updated the cmds below for N=7.
There is a package for gcc-7.2.1 for devtoolset-7 as an example. First you need to enable the Software Collections, then it's available in devtoolset-7:
sudo yum install centos-release-scl
sudo yum install devtoolset-7-gcc*
scl enable devtoolset-7 bash
which gcc
gcc --version
Update: Installing latest version of gcc 9: (gcc 9.3.0) - released March 12, 2020:
Same method can be applied to gcc 10 (gcc 10.1.0) - released May 7, 2020
Download file: gcc-9.3.0.tar.gz or
gcc-10.1.0.tar.gz
Compile and install:
//required libraries: (some may already have been installed)
dnf install libmpc-devel mpfr-devel gmp-devel
//if dnf install libmpc-devel is not working try:
dnf --enablerepo=PowerTools install libmpc-devel
//install zlib
dnf install zlib-devel*
./configure --with-system-zlib --disable-multilib --enable-languages=c,c++
make -j 8 <== this may take around an hour or more to finish
(depending on your cpu speed)
make install
Tested under CentOS 7.8.2003 for gcc 9.3 and gcc 10.1
Tested under CentOS 8.1.1911 for gcc 10.1 (may take more time to compile)
Results: gcc/g++ 9.3.0/10.1.0
Installing gcc 7.4 (gcc 7.4.0) - released December 6, 2018:
Download file: https://ftp.gnu.org/gnu/gcc/gcc-7.4.0/gcc-7.4.0.tar.gz
Compile and install:
//required libraries:
yum install libmpc-devel mpfr-devel gmp-devel
./configure --with-system-zlib --disable-multilib --enable-languages=c,c++
make -j 8 <== this may take around 50 minutes or less to finish with 8 threads
(depending on your cpu speed)
make install
Result:
Notes:
1. This Stack Overflow answer will help to see how to verify the downloaded source file.
2. Use the option --prefix to install gcc to another directory other than the default one. The toplevel installation directory defaults to /usr/local. Read about gcc installation options
You can use the centos-sclo-rh-testing repo to install GCC v7 without having to compile it forever, also enable V7 by default and let you switch between different versions if required.
sudo yum install -y yum-utils centos-release-scl;
sudo yum -y --enablerepo=centos-sclo-rh-testing install devtoolset-7-gcc;
echo "source /opt/rh/devtoolset-7/enable" | sudo tee -a /etc/profile;
source /opt/rh/devtoolset-7/enable;
gcc --version;
The best approach to use yum and update your devtoolset is to utilize the CentOS SCLo RH Testing repository.
yum install centos-release-scl-rh
yum --enablerepo=centos-sclo-rh-testing install devtoolset-7-gcc devtoolset-7-gcc-c++
Many additional packages are also available, to see them all
yum --enablerepo=centos-sclo-rh-testing list devtoolset-7*
You can use this method to install any dev tool version, just swap the 7 for your desired version. devtoolset-6-gcc, devtoolset-5-gcc etc.
Command to install GCC and Development Tools on a CentOS / RHEL 7 server
Type the following yum command as root user:
yum group install "Development Tools"
OR
sudo yum group install "Development Tools
If above command failed, try:
yum groupinstall "Development Tools
CentOS 7 EPEL now includes Python 3.4: yum install python34
However, when I try that, even though Python 3.4 installs successfully, it doesn't appear to install pip. Which is weird, because pip should be included by default with Python 3.4. which pip3 doesn't find anything, nor does which pip.
How do I access pip from the Python 3.4 package in CentOS 7 EPEL release?
The easiest way I've found to install pip3 (for python3.x packages) on CentOS 7 is:
$ sudo yum install python34-setuptools
$ sudo easy_install-3.4 pip
You'll need to have the EPEL repository enabled before hand, of course.
You should now be able to run commands like the following to install packages for python3.x:
$ pip3 install foo
curl https://bootstrap.pypa.io/get-pip.py | python3.4
Or if you don't have curl for some reason:
wget https://bootstrap.pypa.io/get-pip.py
python3.4 get-pip.py
After this you should be able to run
$ pip3
The CentOS 7 yum package for python34 does include the ensurepip module, but for some reason is missing the setuptools and pip files that should be a part of that module. To fix, download the latest wheels from PyPI into the module's _bundled directory (/lib64/python3.4/ensurepip/_bundled/):
setuptools-18.4-py2.py3-none-any.whl
pip-7.1.2-py2.py3-none-any.whl
then edit __init__.py to match the downloaded versions:
_SETUPTOOLS_VERSION = "18.4"
_PIP_VERSION = "7.1.2"
after which python3.4 -m ensurepip works as intended. Ensurepip is invoked automatically every time you create a virtual environment, for example:
pyvenv-3.4 py3
source py3/bin/activate
Hopefully RH will fix the broken Python3.4 yum package so that manual patching isn't needed.
Update: The python34 bug mentioned below has finally been fixed. It is a perfectly fine choice now.
Rather than using broken EPEL python34 packages, you can enable the IUS repo and have it work properly.
pip inside virtual environments
The main python34u and python35u IUS packages include the pyvenv tool (/usr/bin/pyvenv-3.4 or /usr/bin/pyvenv-3.5) that includes bundled wheels of pip and setuptools for bootstrapping virtual environments.
global pip
The python34u-pip and python35u-pip IUS packages include /usr/bin/pip3.4 and /usr/bin/pip3.5 respectively. These work just fine to install packages to the system site-packages directory.
yum install python34-pip
pip3.4 install foo
You will likely need the EPEL repositories installed:
yum install -y epel-release
Update 2019
I tried easy_install at first but it doesn't install packages in a clean and intuitive way. Also when it comes time to remove packages it left a lot of artifacts that needed to be cleaned up.
sudo yum install epel-release
sudo yum install python34-pip
pip install package
Was the solution that worked for me, it installs "pip3" as pip on the system. It also uses standard rpm structure so it clean in its removal. I am not sure what process you would need to take if you want both python2 and python3 package manager on your system.
Below are the steps I followed to install python34 and pip
yum update -y
yum -y install yum-utils
yum -y groupinstall development
yum -y install https://centos7.iuscommunity.org/ius-release.rpm
yum makecache
yum -y install python34u python34u-pip
python3.6 -v
echo "alias python=/usr/bin/python3.4" >> ~/.bash_profile
source ~/.bash_profile
pip3 install --upgrade pip
# if yum install python34u-pip doesnt work, try
curl https://bootstrap.pypa.io/get-pip.py | python
There is a easy way of doing this by just using easy_install (A Setuptools to package python librarie).
Assumption.
Before doing this check whether you have python installed into your Centos machine (at least 2.x).
Steps to install pip.
So lets do install easy_install,
sudo yum install python-setuptools python-setuptools-devel
Now lets do pip with easy_install,
sudo easy_install pip
That's Great. Now you have pip :)
Figure out what version of python3 you have installed:
yum search pip
and then install the best match. Use reqoquery to find name of resulting pip3.e.g
repoquery -l python36u-pip
tells me to use pip3.6 instead of pip3
On CentOS 7, the pip version is pip3.4 and is located here:
/usr/local/bin/pip3.4