[CI][Intel Gaudi][vllm-Plugin]Add CI for hpu-plugin-v1-test (#20196)

Signed-off-by: Chendi Xue <chendi.xue@intel.com>
This commit is contained in:
Chendi.Xue
2025-06-30 23:17:07 -05:00
committed by GitHub
parent 92ee7baaf9
commit a2f14dc8f9

View File

@ -2,10 +2,34 @@
# 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
set -exuo pipefail
# Try building the docker image
docker build -t hpu-test-env -f docker/Dockerfile.hpu .
cat <<EOF | docker build -t hpu-plugin-v1-test-env -f - .
FROM 1.22-413-pt2.7.1:latest
COPY ./ /workspace/vllm
WORKDIR /workspace/vllm
RUN pip install -v -r requirements/hpu.txt
RUN pip install git+https://github.com/vllm-project/vllm-gaudi.git
ENV no_proxy=localhost,127.0.0.1
ENV PT_HPU_ENABLE_LAZY_COLLECTIVES=true
RUN VLLM_TARGET_DEVICE=hpu python3 setup.py install
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
WORKDIR /workspace/
RUN git clone https://github.com/vllm-project/vllm-gaudi.git
RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks
EOF
# Setup cleanup
# certain versions of HPU software stack have a bug that can
@ -14,13 +38,21 @@ docker build -t hpu-test-env -f docker/Dockerfile.hpu .
# functions, while other platforms only need one remove_docker_container
# function.
EXITCODE=1
remove_docker_containers() { docker rm -f hpu-test || true; docker rm -f hpu-test-tp2 || true; }
remove_docker_containers_and_exit() { remove_docker_containers; exit $EXITCODE; }
trap remove_docker_containers_and_exit EXIT
remove_docker_containers() { docker rm -f hpu-plugin-v1-test || true; }
trap 'remove_docker_containers; exit $EXITCODE;' EXIT
remove_docker_containers
# Run the image and launch offline inference
docker run --runtime=habana --name=hpu-test --network=host -e HABANA_VISIBLE_DEVICES=all -e VLLM_SKIP_WARMUP=true --entrypoint="" hpu-test-env python3 examples/offline_inference/basic/generate.py --model facebook/opt-125m
docker run --runtime=habana --name=hpu-test-tp2 --network=host -e HABANA_VISIBLE_DEVICES=all -e VLLM_SKIP_WARMUP=true --entrypoint="" hpu-test-env python3 examples/offline_inference/basic/generate.py --model facebook/opt-125m --tensor-parallel-size 2
echo "Running HPU plugin v1 test"
docker run --rm --runtime=habana --name=hpu-plugin-v1-test --network=host \
-e HABANA_VISIBLE_DEVICES=all \
hpu-plugin-v1-test-env \
/bin/bash "/workspace/vllm-gaudi/tests/upstream_tests/ci_tests.sh"
EXITCODE=$?
if [ $EXITCODE -eq 0 ]; then
echo "Test with basic model passed"
else
echo "Test with basic model FAILED with exit code: $EXITCODE" >&2
fi
# The trap will handle the container removal and final exit.