git clone https://git.videolan.org/git/ffmpeg/nv-codec-headers.git
make
sudo make install
PKG_CONFIG_PATH="/usr/local/lib/pkgconfig" ./configure --enable-cuda --enable-cuvid --enable-nvenc --enable-nonfree --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64
Bridged network is enabled, promiscuos mode is allow all (I dont know if thats necessary)...
Edit /etc/sysconfig/network-scripts/ifcfg-enp0s3
:
TYPE="Ethernet"
PROXY_METHOD="none"
BROWSER_ONLY="no"
BOOTPROTO="static"
DEFROUTE="yes"
Follow instaructions at: http://docs.ceph.com/docs/luminous/rados/deployment/
Its important to update ceph-deploy:
pip install --user ceph-deploy
list consumer groups:
/bin/kafka-consumer-groups.sh --bootstrap-server localhost:9092 --list
describe consumer group -> offset, lag
/bin/kafka-consumer-groups.sh --bootstrap-server localhost:9092 --group GR_NAME --describe
sudo apt-get install python3-tk
export TF_NEED_OPENCL=1
export HOST_CXX_COMPILER=/usr/bin/g++
export HOST_C_COMPILER=/usr/bin/gcc
export COMPUTECPP_TOOLKIT_PATH=/usr/local/computecpp
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(tensorf) c:\Users\michal\Anaconda3\envs\tensorf\Lib\site-packages\tensorflow\tensorboard>python tensorboard.py --logdir="c:\Users\michal\PycharmProjects\start_with_tf\tffun\my_graph" |
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docker ps -a --no-trunc | |
docker network create --subnet=172.10.100.0/16 rewardsnet | |
docker create --net rewardsnet -p 9042:9042 -h cass --name cass -i -t 154b919bf8ce | |
docker create --net rewardsnet -p 8081:8081 -h sm1 --name sm1 -i -t 7bc6b2d4c465 | |
docker create --net rewardsnet -p 8082:8081 -h sm2 --name sm2 -i -t 7bc6b2d4c465 | |
detach: ctrl-p ctrl-q |
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set -g default-terminal "screen-256color" | |
unbind C-b | |
set-option -g prefix C-z | |
bind-key C-z send-prefix | |
set-option -g allow-rename off | |
set-window-option -g xterm-keys on | |
set-option -g mouse on | |
bind r source-file ~/.tmux.conf | |
bind k set-window-option synchronize-panes | |
bind -n M-Left select-pane -L |