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https://github.com/PaddlePaddle/FastDeploy.git
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[XPU ][CI] Release XPU ci update (#4722)
* Refactor CI script for paddlepaddle-xpu installation Updated the CI script to install specific paddlepaddle-xpu version and modified the testing commands for better performance and error handling. * Add test script for OpenAI client interaction * Remove empty line at the beginning of run_45vl.py
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@@ -20,12 +20,15 @@ echo "uninstall org"
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python -m pip uninstall paddlepaddle-xpu -y
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python -m pip uninstall fastdeploy-xpu -y
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python -m pip install paddlepaddle-xpu -i https://www.paddlepaddle.org.cn/packages/nightly/xpu-p800/
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python -m pip install https://paddle-qa.bj.bcebos.com/paddle-pipeline/Release-TagBuild-Training-Linux-Xpu-P800-SelfBuiltPypiUse/latest/paddlepaddle_xpu-0.0.0-cp310-cp310-linux_x86_64.whl
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echo "build whl"
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bash custom_ops/xpu_ops/download_dependencies.sh develop
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bash custom_ops/xpu_ops/download_dependencies.sh stable
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export CLANG_PATH=$(pwd)/custom_ops/xpu_ops/third_party/xtdk
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export XVLLM_PATH=$(pwd)/custom_ops/xpu_ops/third_party/xvllm
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# export XVLLM_PATH=$(pwd)/custom_ops/xpu_ops/third_party/xvllm
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# 由于xvllm更新,为了避免影响CI,暂时锁死版本
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wget https://klx-sdk-release-public.su.bcebos.com/xinfer/daily/eb/20251029/output.tar.gz --no-proxy && tar xf output.tar.gz && mv output xvllm
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export XVLLM_PATH=${PWD}/xvllm
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bash build.sh || exit 1
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echo "pip others"
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@@ -171,6 +174,77 @@ if [ ${w4a8_test_exit_code} -ne 0 ]; then
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exit 1
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fi
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sleep 5
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# 起服务
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rm -rf log/*
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rm -f core*
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# pkill -9 python #流水线不执行这个
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#清空消息队列
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ipcrm --all=msg
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echo "============================开始vl模型测试!============================"
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export XPU_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
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python -m fastdeploy.entrypoints.openai.api_server \
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--model ${MODEL_PATH}/ERNIE-4.5-VL-424B-A47B-Paddle \
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--port 8188 \
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--tensor-parallel-size 8 \
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--max-model-len 32768 \
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--max-num-seqs 10 \
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--quantization wint8 \
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--enable-mm \
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--mm-processor-kwargs '{"video_max_frames": 30}' \
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--limit-mm-per-prompt '{"image": 10, "video": 3}' \
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--reasoning-parser ernie-45-vl > server.log 2>&1 &
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sleep 60
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# 探活
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TIMEOUT=$((15 * 60))
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INTERVAL=10 # 检查间隔(秒)
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ENDPOINT="http://0.0.0.0:8188/health"
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START_TIME=$(date +%s) # 记录开始时间戳
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echo "开始服务健康检查,最长等待时间:${TIMEOUT}秒"
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while true; do
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# 计算已耗时
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CURRENT_TIME=$(date +%s)
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ELAPSED=$((CURRENT_TIME - START_TIME))
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# 超时判断
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if [ $ELAPSED -ge $TIMEOUT ]; then
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echo -e "\n服务启动超时:经过 $((TIMEOUT/60)) 分钟服务仍未启动!"
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cat server.log
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cat log/workerlog.0
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exit 1
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fi
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HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -m 2 "$ENDPOINT" || true)
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if [ "$HTTP_CODE" = "200" ]; then
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echo -e "\n服务启动成功!耗时 ${ELAPSED} 秒"
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break
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else
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sleep $INTERVAL
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fi
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done
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cat server.log
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# 执行服务化推理
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python -m pytest tests/ci_use/XPU_45T/run_45vl.py
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vl_test_exit_code=$?
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echo vl_test_exit_code is ${vl_test_exit_code}
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ps -efww | grep -E 'cache_transfer_manager.py' | grep -v grep | awk '{print $2}' | xargs kill -9 || true
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ps -efww | grep -E 'api_server' | grep -v grep | awk '{print $2}' | xargs kill -9 || true
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ps -efww | grep -E '8188' | grep -v grep | awk '{print $2}' | xargs kill -9 || true
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lsof -t -i :8188 | xargs kill -9 || true
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if [ ${vl_test_exit_code} -ne 0 ]; then
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echo "log/workerlog.0"
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cat log/workerlog.0
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echo " vl模型 测试失败,请检查pr代码"
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exit 1
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fi
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echo "============================开始EP并行测试!============================"
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sleep 5
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rm -rf log/*
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@@ -191,7 +265,7 @@ cd xDeepEP
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bash build.sh
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cd -
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python -m pytest -s --timeout=300 tests/ci_use/XPU_45T/run_ep.py
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python -m pytest -s --timeout=600 tests/ci_use/XPU_45T/run_ep.py
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ep_exit_code=$?
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unset BKCL_ENABLE_XDR
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