[CI/Build] Add shell script linting using shellcheck (#7925)

Signed-off-by: Russell Bryant <rbryant@redhat.com>
This commit is contained in:
Russell Bryant
2024-11-07 13:17:29 -05:00
committed by GitHub
parent de0e61a323
commit 3be5b26a76
28 changed files with 204 additions and 129 deletions

View File

@@ -14,7 +14,7 @@ DOCKER_IMAGE=$4
shift 4
COMMANDS=("$@")
if [ ${#COMMANDS[@]} -ne $NUM_NODES ]; then
if [ ${#COMMANDS[@]} -ne "$NUM_NODES" ]; then
echo "The number of commands must be equal to the number of nodes."
echo "Number of nodes: $NUM_NODES"
echo "Number of commands: ${#COMMANDS[@]}"
@@ -23,7 +23,7 @@ fi
echo "List of commands"
for command in "${COMMANDS[@]}"; do
echo $command
echo "$command"
done
start_network() {
@@ -36,7 +36,7 @@ start_nodes() {
for node_gpu in $(seq 0 $(($NUM_GPUS - 1))); do
DEVICE_NUM=$(($node * $NUM_GPUS + $node_gpu))
GPU_DEVICES+=$(($DEVICE_NUM))
if [ $node_gpu -lt $(($NUM_GPUS - 1)) ]; then
if [ "$node_gpu" -lt $(($NUM_GPUS - 1)) ]; then
GPU_DEVICES+=','
fi
done
@@ -49,17 +49,20 @@ start_nodes() {
# 3. map the huggingface cache directory to the container
# 3. assign ip addresses to the containers (head node: 192.168.10.10, worker nodes:
# starting from 192.168.10.11)
docker run -d --gpus "$GPU_DEVICES" --shm-size=10.24gb -e HF_TOKEN -v ~/.cache/huggingface:/root/.cache/huggingface --name node$node --network docker-net --ip 192.168.10.$((10 + $node)) --rm $DOCKER_IMAGE /bin/bash -c "tail -f /dev/null"
docker run -d --gpus "$GPU_DEVICES" --shm-size=10.24gb -e HF_TOKEN \
-v ~/.cache/huggingface:/root/.cache/huggingface --name "node$node" \
--network docker-net --ip 192.168.10.$((10 + $node)) --rm "$DOCKER_IMAGE" \
/bin/bash -c "tail -f /dev/null"
# organize containers into a ray cluster
if [ $node -eq 0 ]; then
if [ "$node" -eq 0 ]; then
# start the ray head node
docker exec -d node$node /bin/bash -c "ray start --head --port=6379 --block"
docker exec -d "node$node" /bin/bash -c "ray start --head --port=6379 --block"
# wait for the head node to be ready
sleep 10
else
# start the ray worker nodes, and connect them to the head node
docker exec -d node$node /bin/bash -c "ray start --address=192.168.10.10:6379 --block"
docker exec -d "node$node" /bin/bash -c "ray start --address=192.168.10.10:6379 --block"
fi
done
@@ -79,22 +82,22 @@ run_nodes() {
for node_gpu in $(seq 0 $(($NUM_GPUS - 1))); do
DEVICE_NUM=$(($node * $NUM_GPUS + $node_gpu))
GPU_DEVICES+=$(($DEVICE_NUM))
if [ $node_gpu -lt $(($NUM_GPUS - 1)) ]; then
if [ "$node_gpu" -lt $(($NUM_GPUS - 1)) ]; then
GPU_DEVICES+=','
fi
done
GPU_DEVICES+='"'
echo "Running node$node with GPU devices: $GPU_DEVICES"
if [ $node -ne 0 ]; then
docker exec -d node$node /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
if [ "$node" -ne 0 ]; then
docker exec -d "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
else
docker exec node$node /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
docker exec "node$node" /bin/bash -c "cd $WORKING_DIR ; ${COMMANDS[$node]}"
fi
done
}
cleanup() {
for node in $(seq 0 $(($NUM_NODES-1))); do
docker stop node$node
docker stop "node$node"
done
docker network rm docker-net
}