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Bot Updating Templated Files
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.github/ISSUE_TEMPLATE/issue.bug.yml

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- type: textarea
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attributes:
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description: |
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Provide a full docker log, output of "docker logs linuxserver.io"
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Provide a full docker log, output of "docker logs plex"
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label: Container logs
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placeholder: |
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Output of `docker logs linuxserver.io`
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Output of `docker logs plex`
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render: bash
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validations:
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required: true

.github/workflows/external_trigger.yml

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external-trigger-master:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3.1.0
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- uses: actions/checkout@v4.1.1
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- name: External Trigger
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if: github.ref == 'refs/heads/master'

.github/workflows/external_trigger_scheduler.yml

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external-trigger-scheduler:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3.1.0
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- uses: actions/checkout@v4.1.1
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with:
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fetch-depth: '0'
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.github/workflows/package_trigger.yml

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package-trigger-master:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3.1.0
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- uses: actions/checkout@v4.1.1
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- name: Package Trigger
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if: github.ref == 'refs/heads/master'

.github/workflows/package_trigger_scheduler.yml

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package-trigger-scheduler:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3.1.0
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- uses: actions/checkout@v4.1.1
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with:
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fetch-depth: '0'
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README.md

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### Hardware Acceleration
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Many desktop application will need access to a GPU to function properly and even some Desktop Environments have compisitor effects that will not function without a GPU. This is not a hard requirement and all base images will function without a video device mounted into the container.
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Many desktop applications need access to a GPU to function properly and even some Desktop Environments have compositor effects that will not function without a GPU. However this is not a hard requirement and all base images will function without a video device mounted into the container.
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#### Intel/ATI/AMD
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#### Nvidia
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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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https://github.com/NVIDIA/nvidia-container-toolkit
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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 container.
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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-container-toolkit 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 container.
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#### Arm Devices
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