CentOS 7 Server Preparation
To prepare a server on CentOS 7 for the FindFace Multi deployment, follow the instructions below minding the sequence.
Note
For other platforms, please refer to the following resources:
In this section:
Install Updates
Run updates and reboot the server.
sudo yum update sudo reboot
Install
fuse
by running the following command.sudo yum -y install fuse
GPU: Install NVIDIA Drivers
The first step of the server preparation is the NVIDIA driver installation. It’s applicable only for the GPU configuration. Go straight to the Docker installation if your configuration is CPU-accelerated.
With the GPU-accelerated FindFace Multi, you’ll need the NVIDIA driver version 530
or above. Download a relevant .run
installer from NVIDIA Driver Downloads.
Since you use a .run
installer from NVIDIA, the following dependencies must be installed:
sudo yum install kernel-devel gcc kernel-headers
Install Docker Products
Docker products must be installed on both CPU and GPU servers. Do the following:
Install the
yum-utils
package (which provides theyum-config-manager
utility) and set up the repository.sudo yum install -y yum-utils sudo yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
Install
24.*
versions of Docker products.sudo yum install docker-ce-3:24* docker-ce-cli-1:24* docker-ce-rootless-extras-24* containerd.io docker-buildx-plugin docker-compose-plugin
Start and enable Docker.
sudo systemctl start docker sudo systemctl enable docker
Check whether the Docker installation was a success. The following command downloads a test image and runs it in a container. When the container runs, it prints a confirmation message and exits.
sudo docker run hello-world Unable to find image 'hello-world:latest' locally latest: Pulling from library/hello-world 2db29710123e: Pull complete Digest: sha256:aa0cc8055b82dc2509bed2e19b275c8f463506616377219d9642221ab53cf9fe Status: Downloaded newer image for hello-world:latest Hello from Docker! This message shows that your installation appears to be working correctly. To generate this message, Docker took the following steps: 1. The Docker client contacted the Docker daemon. 2. The Docker daemon pulled the "hello-world" image from the Docker Hub. (amd64) 3. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading. 4. The Docker daemon streamed that output to the Docker client, which sent it to your terminal. To try something more ambitious, you can run an Ubuntu container with: $ docker run -it ubuntu bash Share images, automate workflows, and more with a free Docker ID: https://hub.docker.com/ For more examples and ideas, visit: https://docs.docker.com/get-started/
Install
docker-compose
.sudo curl -SL https://github.com/docker/compose/releases/download/v2.15.1/docker-compose-linux-x86_64 -o /usr/local/bin/docker-compose sudo chmod +x /usr/local/bin/docker-compose sudo ln -s /usr/local/bin/docker-compose /usr/bin/docker-compose
Perform the Docker Engine post-installation procedures to ease your future work with Docker and FindFace Multi containers. Once you can manage Docker as a non-root user, you don’t have to apply
sudo
in the commands related to Docker.sudo groupadd docker sudo usermod -aG docker $USER newgrp docker
Configure the Docker network and
devicemapper
usage.sudo su BIP=10.$((RANDOM % 256)).$((RANDOM % 256)).1 cat > /etc/docker/daemon.json <<EOF { "bip": "$BIP/24", "fixed-cidr": "$BIP/24", "storage-driver": "devicemapper" } EOF
GPU: Install NVIDIA Container Runtime
To deploy containerized GPU-accelerated FindFace Multi, you need NVIDIA Container Runtime. We recommend installing NVIDIA Container Toolkit that includes this runtime. Do the following:
Specify the repository and install NVIDIA Container Toolkit from it by executing the following commands.
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \ && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.repo | sudo tee /etc/yum.repos.d/nvidia-container-toolkit.repo sudo yum clean expire-cache sudo yum install -y nvidia-container-toolkit sudo nvidia-ctk runtime configure --runtime=docker sudo systemctl restart docker
Configure the Docker network,
devicemapper
usage, and usage of the NVIDIA Container Runtime installed along with NVIDIA Container Toolkit.sudo su BIP=10.$((RANDOM % 256)).$((RANDOM % 256)) cat > /etc/docker/daemon.json <<EOF { "default-address-pools": [ {"base":"$BIP.0/16","size":24} ], "bip": "$BIP.1/24", "fixed-cidr": "$BIP.0/24", "runtimes": { "nvidia": { "path": "nvidia-container-runtime", "runtimeArgs": [] } }, "default-runtime": "nvidia", "storage-driver": "devicemapper" } EOF
Restart Docker.
systemctl restart docker
Now you are all set to install FindFace Multi. Refer to the following sections: