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https://git.datalinker.icu/vllm-project/vllm.git
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44 lines
1.9 KiB
Bash
44 lines
1.9 KiB
Bash
#!/bin/bash
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# This script build the CPU docker image and run the offline inference inside the container.
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# It serves a sanity check for compilation and basic model usage.
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set -ex
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image_name="xpu/vllm-ci:${BUILDKITE_COMMIT}"
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container_name="xpu_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head -c 10; echo)"
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# Try building the docker image
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docker build -t ${image_name} -f docker/Dockerfile.xpu .
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# Setup cleanup
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remove_docker_container() {
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docker rm -f "${container_name}" || true;
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docker image rm -f "${image_name}" || true;
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docker system prune -f || true;
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}
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trap remove_docker_container EXIT
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# Run the image and test offline inference/tensor parallel
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docker run \
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--device /dev/dri \
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-v /dev/dri/by-path:/dev/dri/by-path \
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--entrypoint="" \
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--name "${container_name}" \
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"${image_name}" \
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sh -c '
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VLLM_USE_V1=1 python3 examples/offline_inference/basic/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager
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VLLM_USE_V1=1 python3 examples/offline_inference/basic/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager -tp 2 --distributed-executor-backend ray
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VLLM_USE_V1=1 python3 examples/offline_inference/basic/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager -tp 2 --distributed-executor-backend mp
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cd tests
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pytest -v -s v1/core
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pytest -v -s v1/engine
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pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py
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pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py
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pytest -v -s v1/structured_output
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pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_eagle.py
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pytest -v -s v1/kv_connector/unit --ignore=v1/kv_connector/unit/test_multi_connector.py --ignore=v1/kv_connector/unit/test_nixl_connector.py
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pytest -v -s v1/test_serial_utils.py
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pytest -v -s v1/test_utils.py
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pytest -v -s v1/test_metrics_reader.py
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'
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