2e20797934
### What this PR does / why we need it? The torch-npu 2.5.1 are published: https://pypi.org/project/torch-npu/2.5.1/ It's time to remove all torch-npu dev version from vllm-ascend code base ### Does this PR introduce _any_ user-facing change? Yes, using torch-npu 2.5.1 ### How was this patch tested? - [ ] CI passed - [ ] Manually test - [ ] Grep all `dev2025` --------- Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
56 lines
2.1 KiB
Docker
56 lines
2.1 KiB
Docker
#
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# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This file is a part of the vllm-ascend project.
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#
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FROM quay.io/ascend/cann:8.0.0-910b-openeuler22.03-py3.10
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ARG PIP_INDEX_URL="https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
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ARG COMPILE_CUSTOM_KERNELS=1
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ENV COMPILE_CUSTOM_KERNELS=${COMPILE_CUSTOM_KERNELS}
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RUN yum update -y && \
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yum install -y python3-pip git vim wget net-tools && \
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rm -rf /var/cache/yum &&\
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rm -rf /tmp/*
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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 . /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=main
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RUN git clone --depth 1 $VLLM_REPO --branch $VLLM_TAG /workspace/vllm
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RUN VLLM_TARGET_DEVICE="empty" python3 -m pip install /workspace/vllm/ --extra-index https://download.pytorch.org/whl/cpu/
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# In x86, triton will be installed by vllm. But in Ascend, triton doesn't work correctly. we need to uninstall it.
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RUN python3 -m pip uninstall -y triton
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# Install vllm-ascend
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RUN source /usr/local/Ascend/ascend-toolkit/set_env.sh && \
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source /usr/local/Ascend/nnal/atb/set_env.sh && \
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export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/`uname -i`-linux/devlib:$LD_LIBRARY_PATH && \
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export LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/lib64:$LIBRARY_PATH && \
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python3 -m pip install -v /workspace/vllm-ascend/ --extra-index https://download.pytorch.org/whl/cpu/
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# Install modelscope (for fast download) and ray (for multinode)
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RUN python3 -m pip install modelscope ray
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CMD ["/bin/bash"]
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