[CI/Build][Doc] Move existing benchmark scripts in CI/document/example to vllm bench CLI (#21355)
Signed-off-by: Ye (Charlotte) Qi <yeq@meta.com>
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@@ -73,7 +73,7 @@ get_current_llm_serving_engine() {
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echo "Container: vllm"
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# move to a completely irrelevant directory, to avoid import vllm from current folder
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export CURRENT_LLM_SERVING_ENGINE=vllm
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return
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fi
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}
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@@ -227,7 +227,7 @@ run_serving_tests() {
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if [[ "$dataset_name" = "sharegpt" ]]; then
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client_command="python3 benchmark_serving.py \
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client_command="vllm bench serve \
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--backend $backend \
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--tokenizer /tokenizer_cache \
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--model $model \
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@@ -248,7 +248,7 @@ run_serving_tests() {
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sonnet_output_len=$(echo "$common_params" | jq -r '.sonnet_output_len')
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sonnet_prefix_len=$(echo "$common_params" | jq -r '.sonnet_prefix_len')
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client_command="python3 benchmark_serving.py \
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client_command="vllm bench serve \
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--backend $backend \
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--tokenizer /tokenizer_cache \
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--model $model \
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@@ -267,13 +267,13 @@ run_serving_tests() {
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$client_args"
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else
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echo "The dataset name must be either 'sharegpt' or 'sonnet'. Got $dataset_name."
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exit 1
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fi
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echo "Running test case $test_name with qps $qps"
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echo "Client command: $client_command"
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@@ -304,7 +304,7 @@ run_serving_tests() {
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}
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run_genai_perf_tests() {
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# run genai-perf tests
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# run genai-perf tests
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# $1: a json file specifying genai-perf test cases
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local genai_perf_test_file
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@@ -313,14 +313,14 @@ run_genai_perf_tests() {
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# Iterate over genai-perf tests
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jq -c '.[]' "$genai_perf_test_file" | while read -r params; do
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# get the test name, and append the GPU type back to it.
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test_name=$(echo "$params" | jq -r '.test_name')
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test_name=$(echo "$params" | jq -r '.test_name')
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# if TEST_SELECTOR is set, only run the test cases that match the selector
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if [[ -n "$TEST_SELECTOR" ]] && [[ ! "$test_name" =~ $TEST_SELECTOR ]]; then
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echo "Skip test case $test_name."
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continue
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fi
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# prepend the current serving engine to the test name
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test_name=${CURRENT_LLM_SERVING_ENGINE}_${test_name}
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@@ -371,10 +371,10 @@ run_genai_perf_tests() {
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qps=$num_prompts
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echo "now qps is $qps"
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fi
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new_test_name=$test_name"_qps_"$qps
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backend=$CURRENT_LLM_SERVING_ENGINE
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if [[ "$backend" == *"vllm"* ]]; then
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backend="vllm"
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fi
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@@ -415,7 +415,7 @@ prepare_dataset() {
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do
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cat sonnet.txt >> sonnet_4x.txt
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done
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}
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main() {
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@@ -206,7 +206,7 @@ run_latency_tests() {
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fi
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fi
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latency_command=" $latency_envs python3 benchmark_latency.py \
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latency_command=" $latency_envs vllm bench latency \
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--output-json $RESULTS_FOLDER/${test_name}.json \
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$latency_args"
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@@ -273,7 +273,7 @@ run_throughput_tests() {
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fi
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fi
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throughput_command=" $throughput_envs python3 benchmark_throughput.py \
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throughput_command=" $throughput_envs vllm bench throughput \
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--output-json $RESULTS_FOLDER/${test_name}.json \
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$throughput_args"
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@@ -394,7 +394,7 @@ run_serving_tests() {
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# pass the tensor parallel size to the client so that it can be displayed
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# on the benchmark dashboard
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client_command="python3 benchmark_serving.py \
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client_command="vllm bench serve \
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--save-result \
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--result-dir $RESULTS_FOLDER \
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--result-filename ${new_test_name}.json \
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