[TPU][Test] Add script to run benchmark on TPU for buildkite (#19039)

Signed-off-by: Qiliang Cui <derrhein@gmail.com>
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QiliangCui 2025-06-06 20:10:24 -07:00 committed by GitHub
parent 84166fee97
commit 66c508b137
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#!/bin/bash
set -euo pipefail
docker_root=$(docker info -f '{{.DockerRootDir}}')
if [ -z "$docker_root" ]; then
echo "Failed to determine Docker root directory."
exit 1
fi
echo "Docker root directory: $docker_root"
# Check disk usage of the filesystem where Docker's root directory is located
disk_usage=$(df "$docker_root" | tail -1 | awk '{print $5}' | sed 's/%//')
# Define the threshold
threshold=70
if [ "$disk_usage" -gt "$threshold" ]; then
echo "Disk usage is above $threshold%. Cleaning up Docker images and volumes..."
# Remove dangling images (those that are not tagged and not used by any container)
docker image prune -f
# Remove unused volumes / force the system prune for old images as well.
docker volume prune -f && docker system prune --force --filter "until=72h" --all
echo "Docker images and volumes cleanup completed."
else
echo "Disk usage is below $threshold%. No cleanup needed."
fi

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# Environment config
TEST_NAME=llama8b
CONTAINER_NAME=vllm-tpu
# vllm config
MODEL=meta-llama/Llama-3.1-8B-Instruct
MAX_NUM_SEQS=512
MAX_NUM_BATCHED_TOKENS=512
TENSOR_PARALLEL_SIZE=1
MAX_MODEL_LEN=2048
DOWNLOAD_DIR=/mnt/disks/persist
EXPECTED_THROUGHPUT=8.0
INPUT_LEN=1800
OUTPUT_LEN=128

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#!/bin/bash
if [ ! -f "$1" ]; then
echo "Error: The env file '$1' does not exist."
exit 1 # Exit the script with a non-zero status to indicate an error
fi
ENV_FILE=$1
# For testing on local vm, use `set -a` to export all variables
source /etc/environment
source $ENV_FILE
remove_docker_container() {
docker rm -f tpu-test || true;
docker rm -f vllm-tpu || true;
docker rm -f $CONTAINER_NAME || true;
}
trap remove_docker_container EXIT
# Remove the container that might not be cleaned up in the previous run.
remove_docker_container
# Build docker image.
# TODO: build the image outside the script and share the image with other
# tpu test if building time is too long.
DOCKER_BUILDKIT=1 docker build \
--build-arg max_jobs=16 \
--build-arg USE_SCCACHE=1 \
--build-arg GIT_REPO_CHECK=0 \
--tag vllm/vllm-tpu-bm \
--progress plain -f docker/Dockerfile.tpu .
LOG_ROOT=$(mktemp -d)
# If mktemp fails, set -e will cause the script to exit.
echo "Results will be stored in: $LOG_ROOT"
if [ -z "$HF_TOKEN" ]; then
echo "Error: HF_TOKEN is not set or is empty."
exit 1
fi
# Make sure mounted disk or dir exists
if [ ! -d "$DOWNLOAD_DIR" ]; then
echo "Error: Folder $DOWNLOAD_DIR does not exist. This is useually a mounted drive. If no mounted drive, just create a folder."
exit 1
fi
echo "Run model $MODEL"
echo
echo "starting docker...$CONTAINER_NAME"
echo
docker run \
-v $DOWNLOAD_DIR:$DOWNLOAD_DIR \
--env-file $ENV_FILE \
-e HF_TOKEN="$HF_TOKEN" \
-e TARGET_COMMIT=$BUILDKITE_COMMIT \
-e MODEL=$MODEL \
-e WORKSPACE=/workspace \
--name $CONTAINER_NAME \
-d \
--privileged \
--network host \
-v /dev/shm:/dev/shm \
vllm/vllm-tpu-bm tail -f /dev/null
echo "run script..."
echo
docker exec "$CONTAINER_NAME" /bin/bash -c ".buildkite/scripts/hardware_ci/run_bm.sh"
echo "copy result back..."
VLLM_LOG="$LOG_ROOT/$TEST_NAME"_vllm_log.txt
BM_LOG="$LOG_ROOT/$TEST_NAME"_bm_log.txt
docker cp "$CONTAINER_NAME:/workspace/vllm_log.txt" "$VLLM_LOG"
docker cp "$CONTAINER_NAME:/workspace/bm_log.txt" "$BM_LOG"
throughput=$(grep "Request throughput (req/s):" "$BM_LOG" | sed 's/[^0-9.]//g')
echo "throughput for $TEST_NAME at $BUILDKITE_COMMIT: $throughput"
if [ "$BUILDKITE" = "true" ]; then
echo "Running inside Buildkite"
buildkite-agent artifact upload "$VLLM_LOG"
buildkite-agent artifact upload "$BM_LOG"
else
echo "Not running inside Buildkite"
fi
#
# compare the throughput with EXPECTED_THROUGHPUT
# and assert meeting the expectation
#
if [[ -z "$throughput" || ! "$throughput" =~ ^[0-9]+([.][0-9]+)?$ ]]; then
echo "Failed to get the throughput"
exit 1
fi
if (( $(echo "$throughput < $EXPECTED_THROUGHPUT" | bc -l) )); then
echo "Error: throughput($throughput) is less than expected($EXPECTED_THROUGHPUT)"
exit 1
fi

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#!/bin/bash
set -euo pipefail
VLLM_LOG="$WORKSPACE/vllm_log.txt"
BM_LOG="$WORKSPACE/bm_log.txt"
if [ -n "$TARGET_COMMIT" ]; then
head_hash=$(git rev-parse HEAD)
if [ "$TARGET_COMMIT" != "$head_hash" ]; then
echo "Error: target commit $TARGET_COMMIT does not match HEAD: $head_hash"
exit 1
fi
fi
echo "model: $MODEL"
echo
#
# create a log folder
#
mkdir "$WORKSPACE/log"
# TODO: Move to image building.
pip install pandas
pip install datasets
#
# create sonnet_4x
#
echo "Create sonnet_4x.txt"
echo "" > benchmarks/sonnet_4x.txt
for _ in {1..4}
do
cat benchmarks/sonnet.txt >> benchmarks/sonnet_4x.txt
done
#
# start vllm service in backend
#
echo "lanching vllm..."
echo "logging to $VLLM_LOG"
echo
VLLM_USE_V1=1 vllm serve $MODEL \
--seed 42 \
--disable-log-requests \
--max-num-seqs $MAX_NUM_SEQS \
--max-num-batched-tokens $MAX_NUM_BATCHED_TOKENS \
--tensor-parallel-size $TENSOR_PARALLEL_SIZE \
--no-enable-prefix-caching \
--download_dir $DOWNLOAD_DIR \
--max-model-len $MAX_MODEL_LEN > "$VLLM_LOG" 2>&1 &
echo "wait for 20 minutes.."
echo
# sleep 1200
# wait for 10 minutes...
for i in {1..120}; do
# TODO: detect other type of errors.
if grep -Fq "raise RuntimeError" "$VLLM_LOG"; then
echo "Detected RuntimeError, exiting."
exit 1
elif grep -Fq "Application startup complete" "$VLLM_LOG"; then
echo "Application started"
break
else
echo "wait for 10 seconds..."
sleep 10
fi
done
#
# run test
#
echo "run benchmark test..."
echo "logging to $BM_LOG"
echo
python benchmarks/benchmark_serving.py \
--backend vllm \
--model $MODEL \
--dataset-name sonnet \
--dataset-path benchmarks/sonnet_4x.txt \
--sonnet-input-len $INPUT_LEN \
--sonnet-output-len $OUTPUT_LEN \
--ignore-eos > "$BM_LOG"
echo "completed..."
echo
throughput=$(grep "Request throughput (req/s):" "$BM_LOG" | sed 's/[^0-9.]//g')
echo "throughput: $throughput"
echo