mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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[INTEL_HPU] [CI] enabled fastdeploy PR testing (#4596)
* [INTEL HPU] added hpu ci work flow support Signed-off-by: Luo, Focus <focus.luo@intel.com> * [INTEL HPU] added run ci hpu test scripts Signed-off-by: Luo, Focus <focus.luo@intel.com> * [INTEL HPU] enabled HPU ernie test case Signed-off-by: Luo, Focus <focus.luo@intel.com> * [INTEL HPU] updated Intel Gaudi Readme with Warmup disable cmdline Signed-off-by: Luo, Focus <focus.luo@intel.com> * Modify paddlepaddle installation command Updated paddlepaddle installation command to use a specific index URL. * Update run_ci_hpu.sh * Rename json directory to nlohmann_json Rename extracted json directory to nlohmann_json. * Update ci_hpu.yml * Set pip global index URL to Tsinghua mirror * Update CI workflow to use self-hosted runner and paths * Update Docker image in CI workflow * Modify HPU installation URLs in run_ci_hpu.sh Updated the installation URL for paddle_intel_hpu and added paddlenlp_ops installation. * Fix paddle_intel_hpu installation URL Corrected the URL for paddle_intel_hpu wheel installation. --------- Signed-off-by: Luo, Focus <focus.luo@intel.com> Co-authored-by: plusNew001 <95567040+plusNew001@users.noreply.github.com>
This commit is contained in:
FocusLuo
154
scripts/run_ci_hpu.sh
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154
scripts/run_ci_hpu.sh
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#!/bin/bash
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DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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echo "$DIR"
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#install dependencies
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apt install -y lsof
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export FD_API_PORT=8388
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export FD_ENGINE_QUEUE_PORT=8902
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export FD_METRICS_PORT=8202
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#release relative resource
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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 $FD_API_PORT | grep -v grep | awk '{print $2}' | xargs kill -9 || true
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lsof -t -i :$FD_API_PORT | xargs kill -9 || true
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echo "pip requirements"
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python -m pip install -r requirements.txt
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echo "uninstall org"
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#to uninstall PaddleCustomDevie (paddle-intel-hpu)
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python -m pip uninstall paddle-intel-hpu -y
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#to uninstall fastdeploy
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python -m pip uninstall fastdeploy_intel_hpu -y
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python -m pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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#to install paddlepaddle
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pip install paddlepaddle==3.1.1 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
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#to install paddlecustomdevice? (paddle-intel-hpu)
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pip install https://paddle-qa.bj.bcebos.com/suijiaxin/HPU/paddle_intel_hpu-0.0.1-cp310-cp310-linux_x86_64.whl
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pip install https://paddle-qa.bj.bcebos.com/suijiaxin/HPU/paddlenlp_ops-0.0.0-cp310-cp310-linux_x86_64.whl
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#to build and install fastdeploy
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echo "build whl"
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wget -q https://paddle-qa.bj.bcebos.com/suijiaxin/HPU/third-party/DeepGEMM.tar.gz && tar -xzf DeepGEMM.tar.gz -C custom_ops/third_party/
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wget -q https://paddle-qa.bj.bcebos.com/suijiaxin/HPU/third-party/cutlass.tar.gz && tar -xzf cutlass.tar.gz -C custom_ops/third_party/
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wget -q https://paddle-qa.bj.bcebos.com/suijiaxin/HPU/third-party/json.tar.gz && tar -xzf json.tar.gz -C custom_ops/third_party/ && mv custom_ops/third_party/json custom_ops/third_party/nlohmann_json
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chmod +x build.sh
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bash build.sh || exit 1
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pip install dist/fastdeploy_intel_hpu-2.3.0.dev0-py3-none-any.whl --force-reinstall
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#to install dependencies
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echo "pip others"
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pip install numpy
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pip install requests
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pip install tqdm
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pip install ddt
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pip install gradio
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pip install aistudio-sdk
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pip install pytest
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#start serving
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rm -rf log/*
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rm -f server.log
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#clear the message queue
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ipcrm --all=msg
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#start server
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export GC_KERNEL_PATH=/usr/lib/habanalabs/libtpc_kernels.so
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export GC_KERNEL_PATH=/usr/local/lib/python3.10/dist-packages/paddle_custom_device/intel_hpu/libcustom_tpc_perf_lib.so:$GC_KERNEL_PATH
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export PADDLE_DISTRI_BACKEND=xccl
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export PADDLE_XCCL_BACKEND=intel_hpu
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export FLAGS_intel_hpu_recipe_cache_num=20480
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export HABANA_PROFILE=0
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#no proxy using
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unset http_proxy
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unset https_proxy
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unset no_proxy
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echo "MODEL_PATH=${MODEL_PATH}"
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#currently Fastdepoly PR testing is working together with PaddleCostomDevice PR testing on a same Intel HPUs Machine
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#ERNIE-4.5-300B-A47B-Paddl will use all HPUS (8HPUs) and will block PaddleCostomDevice PR testing
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#so let us to use ERNIE-4.5-21B-A3B-Paddle firstly, which only needs 1 HPU
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FD_ATTENTION_BACKEND_NAME="HPU_ATTN"
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#ERNIE-4.5-300B-A47B-Paddle (300B)
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ENABLE_TESTING_ERNIE45_300B_A47B_Paddle=0
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if [ $ENABLE_TESTING_ERNIE45_300B_A47B_Paddle -eq 1 ]; then
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export model_path=${MODEL_PATH}/ERNIE-4.5-300B-A47B-Paddle
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export HPU_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
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echo "CMD Line: HPU_PERF_BREAKDOWN_SYNC_MODE=1 HPU_WARMUP_BUCKET=0 HPU_WARMUP_MODEL_LEN=3072 FD_ATTENTION_BACKEND=$FD_ATTENTION_BACKEND_NAME python -m fastdeploy.entrypoints.openai.api_server --model $model_path --port $FD_API_PORT --engine-worker-queue-port $FD_ENGINE_QUEUE_PORT --metrics-port $FD_METRICS_PORT --kv-cache-ratio 0.98 --num-gpu-blocks-override 3200 --tensor-parallel-size 8 --max-model-len 32786 --max-num-seqs 128 --block-size 128 --graph-optimization-config '{"use_cudagraph":false}' > server.log 2>&1 &"
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HPU_PERF_BREAKDOWN_SYNC_MODE=1 HPU_WARMUP_BUCKET=0 HPU_WARMUP_MODEL_LEN=3072 FD_ATTENTION_BACKEND=$FD_ATTENTION_BACKEND_NAME python -m fastdeploy.entrypoints.openai.api_server --model $model_path --port $FD_API_PORT --engine-worker-queue-port $FD_ENGINE_QUEUE_PORT --metrics-port $FD_METRICS_PORT --kv-cache-ratio 0.98 --num-gpu-blocks-override 3200 --tensor-parallel-size 8 --max-model-len 32786 --max-num-seqs 128 --block-size 128 --graph-optimization-config '{"use_cudagraph":false}' > server.log 2>&1 &
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fi
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#ERNIE-4.5-21B-A3B-Paddle (21B)
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ENABLE_TESTING_ERNIE45_21B_A3B_Paddle=1
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if [ $ENABLE_TESTING_ERNIE45_21B_A3B_Paddle -eq 1 ]; then
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export model_path=${MODEL_PATH}/ERNIE-4.5-21B-A3B-Paddle/
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export HPU_VISIBLE_DEVICES=3
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echo "CMD Line: HPU_PERF_BREAKDOWN_SYNC_MODE=1 HPU_WARMUP_BUCKET=0 HPU_WARMUP_MODEL_LEN=4096 FD_ATTENTION_BACKEND=$FD_ATTENTION_BACKEND_NAME python -m fastdeploy.entrypoints.openai.api_server --model $model_path --port $FD_API_PORT --engine-worker-queue-port $FD_ENGINE_QUEUE_PORT --metrics-port $FD_METRICS_PORT --tensor-parallel-size 1 --max-model-len 32786 --max-num-seqs 128 --block-size 128 --graph-optimization-config '{"use_cudagraph":false}' > server.log 2>&1 &"
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HPU_PERF_BREAKDOWN_SYNC_MODE=1 HPU_WARMUP_BUCKET=0 HPU_WARMUP_MODEL_LEN=4096 FD_ATTENTION_BACKEND=$FD_ATTENTION_BACKEND_NAME python -m fastdeploy.entrypoints.openai.api_server --model $model_path --port $FD_API_PORT --engine-worker-queue-port $FD_ENGINE_QUEUE_PORT --metrics-port $FD_METRICS_PORT --tensor-parallel-size 1 --max-model-len 32786 --max-num-seqs 128 --block-size 128 --graph-optimization-config '{"use_cudagraph":false}' > server.log 2>&1 &
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fi
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sleep 60
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#checking serving active status
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TIMEOUT=$((60 * 60)) #60min
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INTERVAL=10 #check each 10s
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ENDPOINT="http://0.0.0.0:$FD_API_PORT/health"
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START_TIME=$(date +%s) #start time
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echo "Start to check the serving active status, waiting total ${TIMEOUT} seconds"
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while true; do
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#calculate time
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CURRENT_TIME=$(date +%s)
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ELAPSED=$((CURRENT_TIME - START_TIME))
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#to check timeout
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if [ $ELAPSED -ge $TIMEOUT ]; then
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echo -e "\nstart serving failed with timeout: $((TIMEOUT/60)) seconds"
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cat server.log
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#ERNIE-4.5-21B-A3B-Paddle only has workerlog.0
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cat log/workerlog.0
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#ERNIE-4.5-300B-A47B-Paddle (300B) will have 8 workerlog
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if [ $ENABLE_TESTING_ERNIE45_300B_A47B_Paddle -eq 1 ]; then
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cat log/workerlog.1
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cat log/workerlog.2
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cat log/workerlog.3
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cat log/workerlog.4
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cat log/workerlog.5
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cat log/workerlog.6
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cat log/workerlog.7
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fi
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exit 1
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fi
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HTTP_CODE=$(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 "\nserving start successfully! it costs total ${ELAPSED} seconds"
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break
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else
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echo -e "$(date +%F_%H:%M:%S) checking serving start status......"
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sleep $INTERVAL
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fi
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done
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cat server.log
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#to do serving inference
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echo "Start inference testing..."
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python -m pytest tests/ci_use/HPU/run_ernie.py
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exit_code=$?
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echo exit_code is ${exit_code}
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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 $FD_API_PORT | grep -v grep | awk '{print $2}' | xargs kill -9 || true
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lsof -t -i :$FD_API_PORT | xargs kill -9 || true
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if [ ${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 "mold testing failed, please help to do check for your PR source codeing"
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exit 1
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fi
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sleep 5
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