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Upgrade oneccl version to 0.0.6.3 (#12560)

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* Update Dockerfile

* Update Dockerfile

* Update start-vllm-service.sh
This commit is contained in:
Shaojun Liu 2024-12-20 09:29:16 +08:00 committed by GitHub
parent 47da3c999f
commit 51ff9ebd8a
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2 changed files with 8 additions and 4 deletions
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4
docker/llm/serving/xpu/docker/Dockerfile
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@ -64,8 +64,8 @@ RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRO
cd /tmp/ && \
pip install torch==2.1.0.post2 torchvision==0.16.0.post2 torchaudio==2.1.0.post2 intel-extension-for-pytorch==2.1.30.post0 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/ && \
# Internal oneccl
wget https://sourceforge.net/projects/oneccl-wks/files/2024.0.0.6.2-release/oneccl_wks_installer_2024.0.0.6.2.sh && \
bash oneccl_wks_installer_2024.0.0.6.2.sh && \
wget https://sourceforge.net/projects/oneccl-wks/files/2024.0.0.6.3-release/oneccl_wks_installer_2024.0.0.6.3.sh && \
bash oneccl_wks_installer_2024.0.0.6.3.sh && \
git clone https://github.com/intel/torch-ccl -b v2.1.300+xpu && \
cd torch-ccl && \
patch -p1 < /tmp/oneccl-binding.patch && \

8
docker/llm/serving/xpu/docker/start-vllm-service.sh
View file

@ -3,6 +3,7 @@ model="YOUR_MODEL_PATH"
served_model_name="YOUR_MODEL_NAME"
export CCL_WORKER_COUNT=2
export SYCL_CACHE_PERSISTENT=1
export FI_PROVIDER=shm
export CCL_ATL_TRANSPORT=ofi
export CCL_ZE_IPC_EXCHANGE=sockets
@ -11,6 +12,9 @@ export CCL_ATL_SHM=1
export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=2
export TORCH_LLM_ALLREDUCE=0
export CCL_SAME_STREAM=1
export CCL_BLOCKING_WAIT=0
source /opt/intel/1ccl-wks/setvars.sh
@ -20,14 +24,14 @@ python -m ipex_llm.vllm.xpu.entrypoints.openai.api_server \
--model $model \
--trust-remote-code \
--block-size 8 \
--gpu-memory-utilization 0.9 \
--gpu-memory-utilization 0.95 \
--device xpu \
--dtype float16 \
--enforce-eager \
--load-in-low-bit fp8 \
--max-model-len 2048 \
--max-num-batched-tokens 4000 \
--max-num-seqs 12 \
--max-num-seqs 256 \
--tensor-parallel-size 1 \
--disable-async-output-proc \
--distributed-executor-backend ray