.. _deploy-prepare-centos:

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:

   * `NVIDIA drivers <https://www.nvidia.com/download/index.aspx?lang=en>`__
   * `Docker Engine <https://docs.docker.com/engine/install/>`__
   * `Docker Compose <https://docs.docker.com/compose/install/other/>`__
   * `NVIDIA Container Toolkit <https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#setting-up-nvidia-container-toolkit>`__ 

.. rubric:: In this section:

.. contents::
   :local:


Install Updates
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

#. Run updates and reboot the server.

   .. code::

      sudo yum update
      sudo reboot

#. Install ``fuse`` by running the following command.

   .. code::

      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 :ref:`Docker installation <docker_centos>` 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 <https://www.nvidia.com/Download/index.aspx?lang=en-us>`__. 

Since you use a ``.run`` installer from NVIDIA, the following dependencies must be installed:

.. code::

   sudo yum install kernel-devel gcc kernel-headers

.. _docker_centos:

Install Docker Products
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Docker products must be installed on both CPU and GPU servers. Do the following:

#. Install the ``yum-utils`` package (which provides the ``yum-config-manager`` utility) and set up the repository.

   .. code::

      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.

   .. code::

      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.

   .. code::

      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.
   
   .. code::

      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``.

   .. code::

      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 <https://docs.docker.com/engine/install/linux-postinstall/>`__ to ease your future work with Docker and :ref:`FindFace Multi containers <docker-commands>`. Once you can manage Docker as a non-root user, you don't have to apply ``sudo`` in the commands related to Docker.

   .. code::

      sudo groupadd docker
      sudo usermod -aG docker $USER
      newgrp docker

#. Configure the Docker network and ``devicemapper`` usage.

   .. code::

      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.

   .. code:: 

      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.

   .. code::

      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.

   .. code::

      systemctl restart docker

Now you are all set to install FindFace Multi. Refer to the following sections:

* :ref:`installer`
* :ref:`video-worker-installer`
* :ref:`custom-installation`