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.github/CONTRIBUTING.md

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@@ -105,10 +105,10 @@ docker build \
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-t linuxserver/foldingathome:latest .
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```
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The ARM variants can be built on x86_64 hardware using `multiarch/qemu-user-static`
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The ARM variants can be built on x86_64 hardware and vice versa using `lscr.io/linuxserver/qemu-static`
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```bash
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docker run --rm --privileged multiarch/qemu-user-static:register --reset
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docker run --rm --privileged lscr.io/linuxserver/qemu-static --reset
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```
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Once registered you can define the dockerfile to use with `-f Dockerfile.aarch64`.

.github/workflows/package_trigger_scheduler.yml

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if [[ -n "${triggered_branches}" ]] || [[ -n "${skipped_branches}" ]]; then
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if [[ -n "${triggered_branches}" ]]; then
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NOTIFY_BRANCHES="**Triggered:** ${triggered_branches} \n"
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NOTIFY_BUILD_URL="**Build URL:** https://ci.linuxserver.io/blue/organizations/jenkins/Docker-Pipeline-Builders%2Fdocker-foldingathome/activity/ \n"
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echo "**** Package check build(s) triggered for branch(es): ${triggered_branches} ****"
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fi
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if [[ -n "${skipped_branches}" ]]; then
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NOTIFY_BRANCHES="${NOTIFY_BRANCHES}**Skipped:** ${skipped_branches} \n"
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fi
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echo "**** Package check build(s) triggered for branch(es): ${triggered_branches} ****"
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echo "**** Notifying Discord ****"
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curl -X POST -H "Content-Type: application/json" --data '{"avatar_url": "https://cdn.discordapp.com/avatars/354986384542662657/df91181b3f1cf0ef1592fbe18e0962d7.png","embeds": [{"color": 9802903,
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"description": "**Package Check Build(s) Triggered for foldingathome** \n'"${NOTIFY_BRANCHES}"'**Build URL:** '"https://ci.linuxserver.io/blue/organizations/jenkins/Docker-Pipeline-Builders%2Fdocker-foldingathome/activity/"' \n"}],
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"description": "**Package Check Build(s) for foldingathome** \n'"${NOTIFY_BRANCHES}"''"${NOTIFY_BUILD_URL}"'"}],
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"username": "Github Actions"}' ${{ secrets.DISCORD_WEBHOOK }}
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fi

README.md

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@@ -81,6 +81,7 @@ Hardware acceleration users for Nvidia will need to install the container runtim
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https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
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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 foldingathome docker container.
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## Read-Only Operation
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This image can be run with a read-only container filesystem. For details please [read the docs](https://docs.linuxserver.io/misc/read-only/).
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-t lscr.io/linuxserver/foldingathome:latest .
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```
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The ARM variants can be built on x86_64 hardware using `multiarch/qemu-user-static`
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The ARM variants can be built on x86_64 hardware and vice versa using `lscr.io/linuxserver/qemu-static`
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```bash
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docker run --rm --privileged multiarch/qemu-user-static:register --reset
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docker run --rm --privileged lscr.io/linuxserver/qemu-static --reset
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```
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Once registered you can define the dockerfile to use with `-f Dockerfile.aarch64`.

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