xc-llm-ascend/Dockerfile.a3.openEuler

#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is a part of the vllm-ascend project.
#

FROM quay.io/ascend/cann:8.5.1-a3-openeuler24.03-py3.11

ARG PIP_INDEX_URL="https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
ARG MOONCAKE_TAG="v0.3.8.post1"
ARG SOC_VERSION="ascend910_9391"

ENV SOC_VERSION=$SOC_VERSION \
    TASK_QUEUE_ENABLE=1 \
    OMP_NUM_THREADS=1

RUN pip config set global.index-url ${PIP_INDEX_URL}

WORKDIR /workspace

COPY . /vllm-workspace/vllm-ascend/

SHELL ["/bin/bash", "-c"]

RUN yum update -y && \
    yum install -y git vim wget net-tools gcc gcc-c++ make cmake numactl-devel jemalloc && \
    git clone --depth 1 --branch ${MOONCAKE_TAG} https://github.com/kvcache-ai/Mooncake /vllm-workspace/Mooncake && \
    cp /vllm-workspace/vllm-ascend/tools/mooncake_installer.sh /vllm-workspace/Mooncake/ && \
    ARCH=$(uname -m) && \
    source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
    export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/${ARCH}-linux/devlib:/usr/local/Ascend/ascend-toolkit/latest/${ARCH}-linux/lib64:$LD_LIBRARY_PATH && \
    export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:/usr/include/c++/12:/usr/include/c++/12/${ARCH}-openEuler-linux && \
    cd /vllm-workspace/Mooncake && \
    bash mooncake_installer.sh -y && \
    mkdir -p build && cd build && cmake .. -DUSE_ASCEND_DIRECT=ON && \
    make -j$(nproc) && make install && \
    rm -fr /vllm-workspace/Mooncake/build && \
    rm -rf /var/cache/yum/*

# Install vLLM
ARG VLLM_REPO=https://github.com/vllm-project/vllm.git
ARG VLLM_TAG=v0.18.0
RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /vllm-workspace/vllm
# In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install -e /vllm-workspace/vllm/[audio] --extra-index https://download.pytorch.org/whl/cpu/ && \
    python3 -m pip uninstall -y triton && \
    python3 -m pip cache purge

# Install vllm-ascend
# Installing vllm-ascend on x86 can pull upstream triton back in alongside triton-ascend. Remove it immediately after this step.
RUN export PIP_EXTRA_INDEX_URL=https://mirrors.huaweicloud.com/ascend/repos/pypi && \
    source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
    source /usr/local/Ascend/nnal/atb/set_env.sh && \
    export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib && \
    export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:/usr/include/c++/12:/usr/include/c++/12/`uname -i`-openEuler-linux && \
    python3 -m pip install -v -e /vllm-workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/ && \
    if [ "$(uname -i)" = "x86_64" ]; then python3 -m pip uninstall -y triton; fi && \
    python3 -m pip cache purge

# Install clang (for triton-ascend)
RUN yum update -y && \
    yum install -y clang && \
    rm -rf /var/cache/yum/*

# Install modelscope (for fast download) and ray (for multinode)
RUN python3 -m pip install modelscope 'ray>=2.47.1,<=2.48.0' 'protobuf>3.20.0' && \
    python3 -m pip cache purge

RUN echo "export LD_PRELOAD=/usr/lib64/libjemalloc.so.2:$LD_PRELOAD" >> ~/.bashrc
RUN echo "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib" >> ~/.bashrc

CMD ["/bin/bash"]