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xc-llm-ascend/Dockerfile.openEuler

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#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
# This file is a part of the vllm-ascend project.
#
# 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.
#
FROM quay.io/ascend/cann:8.0.0-910b-openeuler22.03-py3.10
RUN yum update -y && \
yum install -y python3-pip git vim wget net-tools && \
rm -rf /var/cache/yum &&\
rm -rf /tmp/*
WORKDIR /workspace
COPY . /workspace/vllm-ascend/
# Install vLLM
ARG VLLM_REPO=https://github.com/vllm-project/vllm.git
ARG VLLM_TAG=main
RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /workspace/vllm
RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install /workspace/vllm/ --extra-index https://download.pytorch.org/whl/cpu/
# In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
RUN python3 -m pip uninstall -y triton
# Install vllm-ascend
RUN python3 -m pip install /workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/
# Install torch-npu
RUN bash /workspace/vllm-ascend/pta_install.sh
# Install modelscope (for fast download) and ray (for multinode)
RUN python3 -m pip install modelscope ray
CMD ["/bin/bash"]