kopia lustrzana https://github.com/linuxserver/docker-documentation
Bot Updating Templated Files
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@ -15,6 +15,8 @@
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Our images support multiple architectures such as `x86-64`, `arm64` and `armhf`. We utilise the docker manifest for multi-platform awareness. More information is available from docker [here](https://github.com/docker/distribution/blob/master/docs/spec/manifest-v2-2.md#manifest-list).
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Simply pulling `linuxserver/plex` should retrieve the correct image for your arch, but you can also pull specific arch images via tags.
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The architectures supported by this image are:
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| Architecture | Tag |
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@ -102,6 +104,7 @@ Docker images are configured using parameters passed at runtime (such as those a
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| `/data/movies` | Media goes here. Add as many as needed e.g. `/data/movies`, `/data/tv`, etc. |
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| `/transcode` | Path for transcoding folder, *optional*. |
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## Optional Parameters
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*Special note* - If you'd like to run Plex without requiring `--net=host` (`NOT recommended`) then you will need the following ports in your `docker create` command:
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@ -154,17 +157,17 @@ Valid settings for VERSION are:-
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+ **`public`**: will update plexpass users to the latest public version, useful for plexpass users that don't want to be on the bleeding edge but still want the latest public updates.
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+ **`<specific-version>`**: will select a specific version (eg 0.9.12.4.1192-9a47d21) of plex to install, note you cannot use this to access plexpass versions if you do not have plexpass.
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Hardware accelleration users for Intel Quicksync will need to mount their /dev/dri video device inside of the container by passing the following command when running or creating the container:
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Hardware acceleration users for Intel Quicksync will need to mount their /dev/dri video device inside of the container by passing the following command when running or creating the container:
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```--device=/dev/dri:/dev/dri```
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We will automatically ensure the abc user inside of the container has the proper permissions to access this device.
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Hardware accelleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
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Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
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https://github.com/NVIDIA/nvidia-docker
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We automatically add the necessary environment variables that will use all available GPU's on the host. Once nvidia-docker is installed on your host you will need to just start the docker with the nvidia container runtime ```--runtime=nvidia```. NVIDIA automatically mounts the GPU and drivers from your host into the plex docker.
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We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime `--runtime=nvidia` and add an environment variable `-e NVIDIA_VISIBLE_DEVICES=all` (can also be set to a specific gpu's UUID, this can be discovered by running `nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv` ). NVIDIA automatically mounts the GPU and drivers from your host into the plex docker.
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@ -181,6 +184,7 @@ We automatically add the necessary environment variables that will use all avail
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## Versions
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* **11.02.19:** - Fix nvidia variables, add device variables.
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* **16.01.19:** - Add pipeline logic, multi arch, and HW transcoding configuration; remove avahi service.
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* **07.09.18:** - Rebase to ubuntu bionic, add udev package.
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* **09.12.17:** - Fix continuation lines.
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