[CI/Build] Add shell script linting using shellcheck (#7925)
Signed-off-by: Russell Bryant <rbryant@redhat.com>
This commit is contained in:
@@ -12,7 +12,7 @@ check_gpus() {
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echo "Need at least 1 GPU to run benchmarking."
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exit 1
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fi
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declare -g gpu_type=$(echo $(nvidia-smi --query-gpu=name --format=csv,noheader) | awk '{print $2}')
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declare -g gpu_type="$(nvidia-smi --query-gpu=name --format=csv,noheader | awk '{print $2}')"
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echo "GPU type is $gpu_type"
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}
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@@ -102,7 +102,7 @@ kill_gpu_processes() {
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pkill -f text-generation
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pkill -f lmdeploy
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while [ $(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits | head -n 1) -ge 1000 ]; do
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while [ "$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits | head -n 1)" -ge 1000 ]; do
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sleep 1
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done
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}
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@@ -119,8 +119,8 @@ wait_for_server() {
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ensure_installed() {
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# Ensure that the given command is installed by apt-get
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local cmd=$1
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if ! which $cmd >/dev/null; then
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apt-get update && apt-get install -y $cmd
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if ! which "$cmd" >/dev/null; then
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apt-get update && apt-get install -y "$cmd"
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fi
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}
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@@ -173,13 +173,11 @@ run_serving_tests() {
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echo "Reuse previous server for test case $test_name"
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else
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kill_gpu_processes
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bash $VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/launch-server.sh \
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bash "$VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/scripts/launch-server.sh" \
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"$server_params" "$common_params"
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fi
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wait_for_server
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if [ $? -eq 0 ]; then
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if wait_for_server; then
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echo ""
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echo "$CURRENT_LLM_SERVING_ENGINE server is up and running."
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else
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@@ -190,13 +188,13 @@ run_serving_tests() {
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# prepare tokenizer
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# this is required for lmdeploy.
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cd $VLLM_SOURCE_CODE_LOC/benchmarks
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cd "$VLLM_SOURCE_CODE_LOC/benchmarks"
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rm -rf /tokenizer_cache
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mkdir /tokenizer_cache
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python3 ../.buildkite/nightly-benchmarks/scripts/download-tokenizer.py \
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--model "$model" \
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--cachedir /tokenizer_cache
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cd $VLLM_SOURCE_CODE_LOC/benchmarks
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cd "$VLLM_SOURCE_CODE_LOC/benchmarks"
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# change model name for lmdeploy (it will not follow standard hf name)
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@@ -307,11 +305,11 @@ run_serving_tests() {
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prepare_dataset() {
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# download sharegpt dataset
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cd $VLLM_SOURCE_CODE_LOC/benchmarks
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cd "$VLLM_SOURCE_CODE_LOC/benchmarks"
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wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
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# duplicate sonnet by 4x, to allow benchmarking with input length 2048
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cd $VLLM_SOURCE_CODE_LOC/benchmarks
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cd "$VLLM_SOURCE_CODE_LOC/benchmarks"
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echo "" > sonnet_4x.txt
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for _ in {1..4}
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do
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@@ -339,17 +337,17 @@ main() {
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prepare_dataset
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cd $VLLM_SOURCE_CODE_LOC/benchmarks
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cd "$VLLM_SOURCE_CODE_LOC/benchmarks"
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declare -g RESULTS_FOLDER=results/
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mkdir -p $RESULTS_FOLDER
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BENCHMARK_ROOT=$VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/
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BENCHMARK_ROOT="$VLLM_SOURCE_CODE_LOC/.buildkite/nightly-benchmarks/"
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# run the test
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run_serving_tests $BENCHMARK_ROOT/tests/nightly-tests.json
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run_serving_tests "$BENCHMARK_ROOT/tests/nightly-tests.json"
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# upload benchmark results to buildkite
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python3 -m pip install tabulate pandas
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python3 $BENCHMARK_ROOT/scripts/summary-nightly-results.py
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python3 "$BENCHMARK_ROOT/scripts/summary-nightly-results.py"
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upload_to_buildkite
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}
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