# This script build the CPU docker image and run the offline inference inside the container. # It serves a sanity check for compilation and basic model usage. set -ex # Try building the docker image numactl -C 48-95 -N 1 docker build -t cpu-test -f Dockerfile.cpu . numactl -C 48-95 -N 1 docker build --build-arg VLLM_CPU_DISABLE_AVX512="true" -t cpu-test-avx2 -f Dockerfile.cpu . # Setup cleanup remove_docker_container() { docker rm -f cpu-test cpu-test-avx2 || true; } trap remove_docker_container EXIT remove_docker_container # Run the image, setting --shm-size=4g for tensor parallel. docker run -itd --entrypoint /bin/bash -v ~/.cache/huggingface:/root/.cache/huggingface --cpuset-cpus=48-95 \ --cpuset-mems=1 --privileged=true --network host -e HF_TOKEN --env VLLM_CPU_KVCACHE_SPACE=4 --shm-size=4g --name cpu-test cpu-test docker run -itd --entrypoint /bin/bash -v ~/.cache/huggingface:/root/.cache/huggingface --cpuset-cpus=48-95 \ --cpuset-mems=1 --privileged=true --network host -e HF_TOKEN --env VLLM_CPU_KVCACHE_SPACE=4 --shm-size=4g --name cpu-test-avx2 cpu-test-avx2 # offline inference docker exec cpu-test-avx2 bash -c "python3 examples/offline_inference.py" # Run basic model test docker exec cpu-test bash -c " pip install pytest Pillow protobuf pytest -v -s tests/models -m \"not vlm\" --ignore=tests/models/test_embedding.py --ignore=tests/models/test_oot_registration.py --ignore=tests/models/test_registry.py --ignore=tests/models/test_jamba.py --ignore=tests/models/test_danube3_4b.py" # Mamba and Danube3-4B on CPU is not supported # online inference docker exec cpu-test bash -c " export VLLM_CPU_KVCACHE_SPACE=10 export VLLM_CPU_OMP_THREADS_BIND=48-92 python3 -m vllm.entrypoints.openai.api_server --model facebook/opt-125m & timeout 600 bash -c 'until curl localhost:8000/v1/models; do sleep 1; done' || exit 1 python3 benchmarks/benchmark_serving.py \ --backend vllm \ --dataset-name random \ --model facebook/opt-125m \ --num-prompts 20 \ --endpoint /v1/completions \ --tokenizer facebook/opt-125m"