#! /usr/bin/bash #SBATCH -N1 #SBATCH -n1 #SBATCH --time=08:00:00 #SBATCH --gres=gpu:8 set -ex env && hostname && nvidia-smi DEFAULT_IMAGE="urm.nvidia.com/sw-tensorrt-docker/tensorrt-llm-staging/release:main-x86_64" IMAGE=${1:-$DEFAULT_IMAGE} bench_dir=${2:-$(pwd)} output_dir=${3:-$(pwd)} select_pattern=${4:-default} skip_pattern=${5:-default} start_time=$(date '+%Y-%m-%d-%H:%M:%S') output_folder=${output_dir}/benchmark.run.${SLURM_JOB_ID}.${start_time}.${select_pattern}.${skip_pattern} # Validate bench_dir exists if [[ ! -d "$bench_dir" ]]; then echo "Error: bench_dir '$bench_dir' does not exist" exit 1 fi if [[ ! -d "$output_dir" ]]; then echo "Error: output_dir '$output_dir' does not exist" exit 1 fi # the docker user is root, otherwise it can not write logs to this folder when running in scratch chmod 777 ${output_dir} mkdir -p ${output_folder} && chmod 777 ${output_folder} cd ${output_dir} report_head() { echo "trtllm-serve Job ${SLURM_JOB_ID} started at:${start_time} on:$(hostname) under:$(pwd) output: ${output_folder} " } run_benchmark_and_parse() { # Run benchmark and parse results in a single Docker container docker run --rm --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 \ --gpus all \ -v /home/scratch.trt_llm_data:/home/scratch.trt_llm_data:ro \ -v $output_dir:$output_dir:rw \ -v $bench_dir:$bench_dir:ro \ -w `pwd` \ --pull always \ ${IMAGE} \ bash -c " echo 'Running benchmarks...' python3 ${bench_dir}/run_benchmark_serve.py --output_folder ${output_folder} --config_file ${bench_dir}/benchmark_config.yaml --select ${select_pattern} --skip ${skip_pattern} echo 'Benchmarks completed. Generating CSV report...' if [[ -f '${bench_dir}/parse_benchmark_results.py' ]]; then python3 ${bench_dir}/parse_benchmark_results.py --config_file ${bench_dir}/benchmark_config.yaml --input_folder ${output_folder} --output_csv ${output_folder}.csv echo 'CSV report generated successfully' else echo 'Warning: parse_benchmark_results.py not found' fi " } report_head run_benchmark_and_parse