[Examples] Add docker compose example to run multiple containers

examples/docker/compose/compose_example.yaml

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+# Minimal example using docker compose to run multiple containers
+#
+# Syncs the docker-compose.yml in the current workdir to the remote cluster and
+# runs docker compose up.
+#
+# Usage:
+#   sky launch -c myclus compose_example.yaml
+#   sky down myclus
+
+resources:
+  accelerators: T4:2
+
+workdir: .
+
+setup: |
+  sudo apt-get update
+  sudo apt-get install -y ca-certificates curl gnupg
+  sudo install -m 0755 -d /etc/apt/keyrings
+  curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
+  sudo chmod a+r /etc/apt/keyrings/docker.gpg
+
+  echo \
+    "deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
+    "$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \
+    sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
+  sudo apt-get update
+  sudo apt-get install -y docker-compose-plugin
+
+run: |
+  docker compose -f docker-compose.yml up

examples/docker/compose/docker-compose.yml

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+version: '3.8'
+
+services:
+  gpu-app1:
+    image: nvidia/cuda:11.5.2-runtime-ubuntu20.04
+    command: nvidia-smi # To keep the running in a loop, add -l 1
+    deploy:
+      resources:
+        reservations:
+          devices:
+          - driver: nvidia
+            device_ids: ['0']
+            capabilities: [gpu]
+
+  gpu-app2:
+    image: nvidia/cuda:11.5.2-runtime-ubuntu20.04
+    command: nvidia-smi
+    deploy:
+      resources:
+        reservations:
+          devices:
+          - driver: nvidia
+            device_ids: ['1'] # Allocates GPU ID 1 to this container. Inside the container, this will be visible as device id 0
+            capabilities: [gpu]