[CI] Revert speedup image building and CI Installation related PRs (#6891)
### What this PR does / why we need it? Revert speedup image building and CI Installation related PRs git revert8835236181git revert64fba51275git revert263c2f8e8dgit revert84b00695f8### Does this PR introduce _any_ user-facing change? ### How was this patch tested? - vLLM version: v0.16.0 - vLLM main:15d76f74e2--------- Signed-off-by: wjunLu <wjunlu217@gmail.com>
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@@ -18,34 +18,32 @@
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FROM quay.io/ascend/cann:8.5.0-310p-openeuler24.03-py3.11
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ARG PIP_INDEX_URL="https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
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ARG SOC_VERSION="ascend310p1"
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WORKDIR /workspace
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ENV SOC_VERSION=$SOC_VERSION \
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TASK_QUEUE_ENABLE=1 \
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OMP_NUM_THREADS=1
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RUN yum update -y && \
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yum install -y python3-pip git vim wget net-tools gcc gcc-c++ make cmake numactl-devel jemalloc && \
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rm -rf /var/cache/yum
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# Install modelscope (for fast download) and ray (for multinode)
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RUN pip config set global.index-url ${PIP_INDEX_URL} && \
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python3 -m pip install modelscope 'ray>=2.47.1,<=2.48.0' 'protobuf>3.20.0' && \
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python3 -m pip cache purge
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RUN pip config set global.index-url ${PIP_INDEX_URL}
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WORKDIR /workspace
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COPY . /vllm-workspace/vllm-ascend/
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# Install vLLM
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ARG VLLM_REPO=https://github.com/vllm-project/vllm.git
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ARG VLLM_TAG=v0.16.0
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RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /vllm-workspace/vllm && \
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# In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
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VLLM_TARGET_DEVICE="empty" python3 -m pip install -e /vllm-workspace/vllm/[audio] --extra-index https://download.pytorch.org/whl/cpu/ && \
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RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /vllm-workspace/vllm
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# In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
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RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -e /vllm-workspace/vllm/[audio] --extra-index https://download.pytorch.org/whl/cpu/ && \
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python3 -m pip uninstall -y triton && \
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python3 -m pip cache purge
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# Install vllm-ascend
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ARG SOC_VERSION="ascend310p1"
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ENV SOC_VERSION=$SOC_VERSION \
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TASK_QUEUE_ENABLE=1 \
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OMP_NUM_THREADS=1
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COPY . /vllm-workspace/vllm-ascend/
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RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
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source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
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source /usr/local/Ascend/nnal/atb/set_env.sh && \
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@@ -54,6 +52,10 @@ RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi
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python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
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python3 -m pip cache purge
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# Install modelscope (for fast download) and ray (for multinode)
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RUN python3 -m pip install modelscope 'ray>=2.47.1,<=2.48.0' 'protobuf>3.20.0' && \
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python3 -m pip cache purge
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RUN echo "export LD_PRELOAD=/usr/lib64/libjemalloc.so.2:$LD_PRELOAD" >> ~/.bashrc
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CMD ["/bin/bash"]
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